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[gouravsapra]

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[insignia2023]

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Delve into the world of machine learning with our comprehensive guide, designed to demystify complex concepts and empower you to apply cutting-edge techniques.

[august-infotech]

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[mysterious-moonstruck-musings]

Destiny & Deliverance: Chapter 26

Destiny & Deliverance Masterlist ||| Main Masterlist Dieter Bravo X OFC New as of 11/13/2023

Series Summary: Natalia Cohen is experiencing major life changes, beginning with leaving an emotionally abusive husband. She is learning how to navigate life on her own while dealing with high functioning anxiety, depression, and mild PTSD. Everything is looking up for her. She is a highly respected consultant for a major LA firm, has her best friend, Lauren, by her side, and is on her path to healing. Everything changes when she meets a handsome and broken stranger on a work trip. He turns out to be a well-known actor, with a heart-breaking past. They quickly develop a connection that will forever alter their lives. 

Warnings: Themes dealing with mental health, emotional trauma, alcohol use, and discussions about suicide. There will be fluff, tears, spicy language, and smut. This will be a slow burn type of story. Read at your own risk.

Chapter Quote: "I don't want to do this."

I lost track of how much time passed as I watched Dieter sleep. My mind was racing through so many thoughts that it overwhelmed me, making it impossible to process anything at all. It was hard to pull myself away from him, but I felt like I needed a few minutes to myself to just…feel. I was relieved when the nurse walked in to check on him, feeling like that was my out. I let her know that we would be in the waiting room if he asked for us. When she turned her attention back to her checklist, I excused myself from the room.

As I walked down the hallway, I took a moment to observe my surroundings. Seeing patients through open doors in various states of critical care was making me feel anxious. The sounds of beeping machines dredging up old memories that I thought I had packed away for good. The pungent smells of antiseptic and fragrances of chemical based cleaners caused my stomach to churn. I hated hospitals and I hated that Dieter was having to go through this experience. I truly hoped that it would at least have a positive outcome so that he could finally get the proper help he needed.

I ducked into a single-user bathroom to have a minute to myself, knowing it would be my only opportunity. After locking the door behind me, I walked over to the sink and gave myself a once over in the mirror. I looked like hell. My air-dried curly hair was now a frizzy mess from my fingers incessantly pulling at it. My eyes were circled in darkness from the lack of sleep, red and swollen from crying. The t-shirt I had quickly thrown on before leaving the house was wrinkled and had a stain on it. No wonder the ER doctor didn’t take my word for it when I said I was fine. I wouldn’t have believed me either. 

I tried to smooth my hair down but didn’t get anywhere with it. Luckily, I had a hair tie on my wrist so I could pull it back into a messy bun. I took a minute to splash some warm water over my face. My skin felt sensitive and raw from the salty tears that had fallen, no matter how much I willed them not to. I switched over to cold water for a little shock to my system to try and wake up some. After splashing a few handfuls of the cold water, I stood watching it pool in my cupped hands, allowing it to spill over the sides. I could feel myself disassociating, until the flashes of memories started to break through.

Images of Dieter lying on the floor, his eyes opening briefly as I tried to wake him before they rolled back and closed again. The way he looked lifeless in my lap on the drive to the hospital, with a weakened pulse. The sight of him being pulled from my embrace and loaded onto a gurney surrounded by nurses and doctors as they worked to stabilize him. It was too much, and it was all crashing down on me at once. I had almost lost him because I was too fucking selfish to take the risk and reach out to him when I knew in my gut that something was wrong. I completely ignored it all and focused on being angry at him, just to make myself feel better about the whole situation. Now, I only felt anger toward myself.

I snapped back to the present, letting the water spill from my hands before reaching to turn off the faucet. I placed my wet hands on the back of my neck for a moment, allowing the coldness to soothe the heat radiating through my body. I closed my eyes and took a few measured breaths. Then, I reached for paper towels to dry my hands and face before throwing them in the trash. I placed both palms on the sink, leaning against it with my head down. I closed my eyes again, still taking deep breaths to try and center myself.

When I raised my head and opened my eyes, meeting my reflection in the mirror, I hated the person that I saw. My biggest fear had been losing myself again. I had allowed it to happen without even realizing how the darkness was slowly consuming what little was left of me. The harder I worked to keep it away from me the easier it was for the darkness to stealthily pull me into its numbing embrace. The sad part is, I welcomed it with open arms under the guise that I was doing what I needed to do to move forward and be happy.

For the first time since Dieter ended things, I realized I was slowly turning back into the person I was before him. The person I was when I was with Justin. The scared girl who pretended everything was fine and hid her feelings away out of fear that someone would see how bad things were. I had been conditioned to behave this way to protect Justin and all his wrong doings. I had been conditioned to hide my feelings away so that I wouldn’t realize how unhappy I really was. I could feel the walls starting to crumble down again and I found myself craving a drink but knew I couldn’t go down that road. I knew I needed to get back on track and handle things the correct way, for the sake of myself. I wasn’t going to be able to be there for Dieter unless I finally got my shit together. For real this time. I needed to find better ways to cope and actually process my feelings, rather than lock them away. If I didn’t do this, I knew I would be lost to the darkness forever.    

I was drawn away from my thoughts by a knock on the door. I took one last deep breath and moved to leave the bathroom. As I continued my trudge down the hallway, I somehow managed to focus my mind back on the current situation that needed attention, trying to think through the next steps. I wasn’t even sure what those needed to be since I had never dealt with anything like this. This was definitely going to be a team effort.

When I entered the waiting room, I was met with more activity than I expected. Everyone was working to check out various inpatient treatment centers for Dieter. Alex was reaching out to his contacts for feedback while Lauren and Gabby did research on their phones. I immediately joined in. We were determined to find something away from LA that wasn’t one of the upscale places celebrities usually went to that catered to them. He needed to be somewhere that would not treat him any differently than other patients and really focus on helping him get better.

We finally settled on a facility in Tucson, Arizona called Sanctuary Hills that appeared to be promising. It was away from paparazzi central, making it less likely that anything would leak about Dieter being there. It also came highly recommended by Dr. Wilson and several other individuals that Alex spoke with. It would be a long drive, but more than worth it if the place was as good as everyone made it out to be. Once the decision was made, Gabby called to get more information and to get the admission process started. 

We did not want to give Dieter the opportunity to change his mind, so Gabby and I planned to drive him directly to the facility once he was discharged from the hospital. Sanctuary Hills was kind enough to send us a list of things that Dieter could and could not bring with him, so I offered to go pack a bag for him on my way home to nap and freshen up. Gabby planned to do the same while Lauren and Alex stayed behind to spend some time with Dieter once he woke up.

When the Uber driver pulled into the driveway of Dieter’s house, I could feel my chest tighten as anxiety set in. Being there after what had happened the previous evening felt odd, almost sort of eerie. It seemed like there was bad energy emitting from the once happy place that I had considered my second home.

As I used Gabby’s key to unlock the front door, I suddenly felt a wave of emotion sweep over me. I could already feel a lump forming in my throat. When I stepped inside and really took in the space for the first time, I realized how much of a mess it was. I had noticed it the night before but didn’t register the severity because I had been focused on helping him. Dieter’s comforter and a pillow, my pillow, were haphazardly laying on the couch. There were old takeout containers randomly sitting around the living room and kitchen, some still containing food that looked like it had hardly been touched. I assumed that was the cause of the questionable smell permeating throughout the house. The TV was laying on its back on the floor with a busted screen. There were empty and broken liquor bottles of all shapes and sizes laying everywhere. Most of the broken bottles were concentrated on the floor under the painting I had left for him, like they had been thrown at the wall. The painting appeared to be untouched, which was oddly comforting to see.

It was difficult to see the physical evidence of how bad he had been hurting. There was no way that I could look at the sight before me and not feel anything. I simply could not pack this away somewhere in my mind and not deal with it. It was too much, but I needed the raw emotional confrontation. This is what finally caused my walls to crumble down, forcing me to feel everything at once. The sadness, betrayal, hurt, pain, anger…all of it. I couldn’t hold back the flood of tears any longer. My vision blurred momentarily before the tears started to fall incessantly. I didn’t even bother to wipe them away as I made my way toward Dieter’s bedroom to start packing a bag for him.

If I thought the living room and kitchen were bad, his bedroom was even worse. The bed was completely torn apart, and the frame broken. The nightstands were turned on their sides and the lamps that once set atop them laid in pieces on the floor. The mirror on the dresser was shattered and the drawers and clothes were thrown across the room. There was a hole in the drywall where the headboard used to be and another beside the bathroom door. It felt like I was having an out of body experience, the scene around me looking like it had been pulled straight from a movie.

I stood there for a time; both of my hands placed over my mouth in shock as I looked around the room. I had a hard time reconciling the thoughts of Dieter causing such destruction. This wasn’t him. He wasn’t a violent person. This was the culmination of his pain finally breaking him. My legs suddenly felt weak at that realization. I sank to the floor, continuing to take it all in as the tears fell freely down my cheeks. It was hard to see a space that held so many wonderful memories of us reduced to a pile of rubble. Maybe it had been even harder for him to be reminded of those memories while it was still intact, a caricature of how things used to be.

I don’t know how much time passed before I finally pulled myself up off the floor. I needed to take a breather. I walked back to the living room, where I noticed Dieter's phone still laying on the floor from where he had dropped it. My car keys were on the floor nearby, where I had apparently dropped them in the midst of my rush to get to him. I leaned down to pick up the keys and phone. I figured Gabby may need some of the contact information from his phone to deal with his work stuff, so I didn’t want to forget it. I walked over and plopped down on the couch before setting the two items down on the coffee table next to one another.

The lock screen of the phone lit up, catching my attention. I picked it up for a closer look, realizing the wallpaper was the infamous picture of us that he had posted on Instagram. Except this was the unedited original. It was in color, uncropped, and not blurred with filters. I had never seen this version of it. It almost broke me to see how happy and content we both looked. Even though Dieter’s head was turned slightly, I could still see the rare spark of happiness in his eyes. The crease that he often had between his brows was smooth. It was hard to remember that for a short time we had been blissfully happy. It seemed so long ago now. I realized that I would give anything to go back to that. We both needed the good times, to experience those rare moments of joy, when things didn’t feel like an uphill battle.

I grabbed the comforter that was halfway hanging onto the floor and wrapped it around me as I laid down onto the couch, phone still clutched in my hand. The scent of Dieter’s cologne surrounded me in a comforting embrace as I continued to examine the picture. A low battery alert appeared on screen. I chuckled to myself, thinking how my battery felt low too. I eventually set his phone back down on the table and drifted off to sleep.

I was jolted awake by my cell phone ringing in my back pocket. When I sat up, I realized it was now dark outside. I had been asleep for longer than I had planned to be. It took me a few seconds to work out where I was as I wiped the sleep from my eyes. I quickly stood and fished the phone out of my pocket to see that it was Gabby calling me. She wanted to check in and see how I was doing and if I needed help with any of Dieter’s things. I didn’t, of course. That was something I wanted to deal with on my own, but I appreciated her offer, nevertheless. It felt good to know that I was not alone in all of this, that this time around there were other people close to Dieter and me who understood what was going on.

Gabby went on to share that Alex had called to say the hospital would be releasing Dieter the following morning. She was planning for us to make the seven-and-a-half-hour drive immediately after picking him up. Then she and I would take a flight back to Los Angeles. It was going to be a long day, but it was worth it if it meant he was going to get the help he needed. We made plans for her to pick me up in a rental car and be ready to go first thing in the morning.

Once Gabby and I hung up, I realized I had a text from Aubrey. I had only just realized that I never called into work that today, so I was surprised I had not heard from her sooner.

Aubrey: Lauren called me last night to let me know what was going on. I hope everything is ok. Please take all the time you need, for the both of you. Keep me updated and let me know if you need anything.

I sighed heavily. I seriously did not deserve her or Lauren. They gave me more grace than I deserved sometimes. I fired off a quick update to Aubrey to let her know that both Dieter and I were doing ok and that I would need a couple of days off. She responded immediately to let me know that would be fine.

Since that was off the “to do” list, I decided to pack Dieter’s bag. I pulled up the list that Gabby had sent to me. He was basically limited to three days’ worth of comfortable clothes and nothing else until they considered him to be fully stable. He couldn’t even have his glasses or contacts, something he was definitely not going to be happy about.

I sent a quick text to Gabby reminding her that Dieter would need a phone list since he couldn’t have his phone. I figured she might have a better idea of who needed to be listed on that and that she would probably have most of their numbers. Then, I made my way to his closet, ignoring the mess in the bedroom as best I could. I found that his closet was completely untouched and still somewhat organized. I noticed that half of it was now empty, which reminded me of the conversation we had about making space to keep some of my things there. He had clearly held up to his word on that and never bothered to change it back. I could feel the lump forming in my throat with that thought. I shook my head, dismissing the memory so I could focus on the task at hand.

I quickly grabbed a pair of his gray workout shorts and two pairs of striped pajama pants (that did not have drawstrings) and three plain t-shirts from the shelves. I found his bright green robe and removed the waist belt before adding it to my stack. I had to dig around to find slip on closed toe shoes that didn’t have any metal or laces on them. At the bottom of his shoe pile, I found a pair of black croc clogs that I had never seen him wear, but it’s what he was getting because it was the only pair I could find that met the requirements. After grabbing some of his boxers and socks, I started looking around for a bag. I eventually came across an extra-large tote bag that could barely hold everything. He wasn’t allowed to bring his own toiletries, so I didn’t have to worry about any of that. I quickly ran through the list again making sure I didn’t miss anything. I made a mental note to double check on the phone list with Gabby and get his medications back from the hospital. Other than that, he couldn’t have anything else.         

Before I left Dieter’s house, I collected all the food containers and took out the trash. That was something that needed immediate attention due to the smell alone. The rest would have to wait until I had more time. I wanted to make sure to get everything cleaned up before he came home, whenever that would be. The mess was the last thing he needed to deal with, and he most definitely did not need any reminders of what happened to him.

I collected the tote bag, my phone and Dieter’s, and my car keys before walking out to my car and heading back to my house. After I got home, I gathered a few things I would need for our quick trip, set my alarm, then immediately went to bed. Surprisingly, it didn’t take long for sleep to take me. I was physically and mentally exhausted and I could feel every bit of it.

The morning alarm came quickly. I felt like I had only just dozed off as I sat up in bed, stretching. My head was throbbing, and I could feel that my eyes were still swollen and stinging from all the crying I had done the past two days. I hoped a hot shower would help alleviate the tightness I could feel from the inflammation and ease my aching body. I drug myself up out of bed and took a very long shower. I mostly stood under the hot spray, unmoving, as I stared at the floor. I felt like I needed to mentally prepare myself for whatever the day would bring. I didn’t know what to expect, which left me anticipating all possible outcomes, including the worst-case scenarios. My only hope was that Dieter stayed calm throughout the trip and didn’t change his mind about accepting help before we got him there.  

I spent longer than I should have in the shower, causing me to rush around to get ready. Not that I had planned to put a lot of effort into it anyway because it was definitely a messy bun and sunglasses kind of day. I was glad that I had gotten things ready the night before or else I know that I would have ended up forgetting something. Before I knew it, Gabby was pulling into my driveway. When I got into the car, she handed Dieter’s phone list over to me so she would not forget about it. I added it to his bag before I handed over his cell phone to her.

I could tell she was just as anxious as I was from her tight grip on the steering wheel and tense posture. We hardly said a word to each other during the drive to the hospital. Both of us were clearly deep in thought. The way I felt was almost indescribable. I was anxious and my chest felt tight, but in a different way than before. My head was buzzing as the thoughts raced uncontrollably. I felt hopeful, sad, and angry all at the same time. I was having a hard time wrapping my head around how it had actually come to this. It almost didn’t seem real. I was starting to feel disconnected, like I was watching everything from the outside. I knew that probably wasn’t a good thing, but also felt like it might be the only way I could get through today. I would just have to deal with the consequences of it later.  

When we arrived at the hospital, we found that Alex was already pushing the discharge process along as best he could. He had spent the night with Dieter so he wouldn’t have to be alone. Alex had to be exhausted since he had been at the hospital the entire time. He had the least amount of sleep out of all of us in the past forty-eight hours, so I knew he was ready to crash. Lauren arrived soon after Gabby and me so that she could take Alex home. She had stopped to get us all coffee and breakfast too, which was very much appreciated by all.

Dr. Wilson briefly met with Gabby and I to give us Dieter’s bag full of medication and to go over paperwork. He gave us copies of everything that Sanctuary Hills would need but indicated they had sent electronic copies as well. He let us know that they gave Dieter a sedative thirty-minutes prior because he was still being uncooperative with staff and exhibiting high levels of anxiety. He noted that it should last about eight hours but included another dose with Dieter’s medication in case it was needed. That was not the news that Gabby and I wanted to hear, but we were appreciative that Dieter was given something to calm him down during the trip. We were hopeful that being with us would help him relax some too.

When we were finally able to make our way to Dieter’s room, we found him sitting on the bed picking at the food Lauren had brought for him. It didn’t look like he had eaten much of it. He seemed a little dazed as he sat in silence staring around the room at nothing. Lauren and Alex gave Gabby and I an apprehensive look as our eyes darted between them and Dieter. I wasn’t sure what I was expecting but I don’t think this was it. I assumed his behavior was like this because the sedative was kicking in, making him feel out of it while dulling the anxiety.

I walked over to stand next to the bed, reaching out to push Dieter’s hair back out of his eyes, which caused him to focus his attention on me for the first time. He knitted his brows together as he stared at me in silence for a moment. Then he reached up to lightly tug on my shirt, pulling me to sit down beside him. I wrapped my right arm around him as I moved to sit closer to him, then reached up to rub the curls at the nap of his neck. He immediately melted into my side and laid his head on my shoulder, his arms tightening around me. I took a stuttered breath as I fought back the tears that were threatening to fall. He was so fucking pitiful, and it was breaking my heart to see him like that.

After several minutes passed and when I eventually felt like I had my emotions under control, I asked Dieter if he wanted to change clothes and get ready to leave. He nodded slowly against my shoulder. Gabby handed him a set of clothes and the crocs I had gotten from his house as he got up to go toward the bathroom. While we waited for him, a nurse came in with the last bit of paperwork for Gabby to sign off on. By the time he came back out, we were ready to go. Gabby went out ahead of us to get the rental SUV and pull it up to the door. The rest of us made our way downstairs, accompanied by two patient care assistants. They kept a close eye on Dieter the whole way, which made me question what he had been doing to the staff that was so “uncooperative”. I felt like they were expecting him to run off or something.

Once Gabby pulled up, we gave Alex and Dieter some space to say their goodbyes. Alex had placed one of his hands around the back of Dieter’s neck, pulling their foreheads close together as he talked quietly to his older brother. Something about the sight caused Gabby, Lauren, and I to immediately tear up. The intense emotional look that passed between the two of them said so much. Dieter tightly nodded along to whatever his brother was saying before they pulled each other into a warm embrace. After a quick hug from Lauren, Dieter crawled into the back seat of the SUV. He stared at me wide-eyed and unblinking with his sad puppy dog eyes, seeming to be asking a question without words. I gave him what I hoped was a reassuring smile before climbing in to sit next to him as he scooted to the other side.

Dieter sat wringing his hands and staring down at the floor as we waited for Gabby to finish filling Alex in on our plans for the day. I reached over to grab his left hand and he visibly relaxed some. He glanced over at me with a tight smile before turning to stare out the window. He still looked paler than normal. Seeing him in his own clothes made it more apparent that he had lost some weight, which added to his frail appearance. I knew the current sight of him would haunt my dreams for weeks to come.

Soon after we got on the road, I noticed Dieter was having a hard time keeping his eyes open as he leaned his head against the window.

I gave his hand a small squeeze as I eyed him, “You ok?”

“Those fucking drugs they gave me are making it hard to stay awake,” he said flatly without looking my way.

I started rubbing small circles on his hand with my thumb, “Do you wanna lay down?”

His eyes locked with mine in an intense stare, like he was surprised at my words. I moved to grab a small blanket and pillow from behind the seat that Gabby had brought for him. I handed him the blanket and placed the pillow in my lap as he watched me intently. I don’t know why, but I suddenly felt like I was dealing with a scared feral animal from the look he was giving me. I didn’t want to spook him, but I also wanted to make sure I was there for him in the ways he needed. I reached toward him and motioned with my hand for him to lay down. He moved to get comfortable the best he could in the small space, folding his body to fit and putting his head in my lap. He sighed deeply, eyes closing as he tried to make himself comfortable. Once he was situated, I started running my fingers through his hair and lightly scratching at his scalp. It wasn’t long before his breathing changed to deep steady breaths as he fell asleep.

The drive was long and quiet. I could occasionally feel Gabby’s eyes on me in the rearview mirror as I watched Dieter sleep. My thoughts were still quickly cycling through every second of our time together, trying to figure out when things started to get so bad. I had a feeling Gabby could see everything I was feeling written on my face during that drive. She never questioned it though. There were times that I glanced her way and she seemed to be just as deep in thought as I was.

About four hours into the trip, Gabby asked if we should stop for food. Since Dieter was still sleeping, we decided to push through the drive without stopping. I got the feeling that she wanted to get this whole process over with as soon as possible, leaving little room for interruptions or complications. I couldn’t blame her since I was feeling the same way, along with the nagging feeling that the worst part was still to come.          

It turns out, I was right. By the time we reached Sanctuary Hills, the sedative was wearing off. Dieter had woken up about twenty minutes before we got to the facility, and I could tell his anxiety was ramping up. It started with his fingers twitching, and the restless moving of his legs, until he eventually sat up in his seat. His eyes began to drift across everything he could see in the car. Eventually the outside caught his attention as he started to fidget more and wring his hands together again. He refused to take the other pill that Dr. Wilson had sent with us because he was tired of sleeping and how the drug was making him feel.

As we pulled into the parking lot, Dieter’s eyes fixated on the building while he roughly scratched at his chin. I grabbed his hand to make him stop in hopes it would calm him down some. Gabby and I exchanged worried glances in the rearview mirror as she unbuckled her seatbelt. Gabby and I got out of the car and walked around to the passenger side. Gabby pulled Dieter’s door open. He sat staring at me, wide-eyed. He looked terrified. I gave him a tight smile as I reached out my hand for his. He finally relented and took it as he got out. He shuffled slowly behind me as we walked toward the entrance. Gabby grabbed his bag out of the back and quickly caught up to us.

Once we entered the facility, Dieter stood closely at my side with a tight grip on my left hand as he chewed on the thumbnail of his free hand. His head was down, but his eyes were scanning over everything in sight. I tried my best to sooth him and keep him calm while Gabby worked to complete the check in process, occasionally asking him questions for the paperwork she was filling out. He answered quietly, in a barely audible voice, never removing his thumb from his mouth to speak.  

One of the ladies helping with the check in process started to go through Dieter’s bag to check for “contraband” and ensure all of the items were in compliance with the regulations. As she was checking everything, she asked him if he had any jewelry or a cell phone that he needed to turn over to us before Gabby and I left. I felt Dieter tense beside me as his energy changed, from anxious to almost hostile. When I turned to look at him, I could see the panic and anger flashing in his eyes. The inevitable meltdown was finally happening. 

“My phone? You mean I don’t get to keep my fucking phone? No. I didn’t agree to that.”

He started shaking his head frantically from side to side as he backed away from me. I calmly walked over to him and placed both of my hands on his face, softly stroking his patchy beard, in an attempt to calm him as he continued to ramble on.

“How am I supposed to call you without my phone? What if I need you? This place is like a fucking prison. I don’t want to do this.”  

“Dieter, listen to me.”

He finally paused his movements as he stared directly into my eyes. What I saw there made me feel like someone was carving my heart out of my chest with a rusted spoon. I have no idea how I managed to hold it together, but I did.

“You can’t have your phone, but you can use theirs. You have a set phone time to call us. They want you to focus on getting better, so you can’t keep it with you.” 

“A set phone time? I only have your number memorized. Not the others.”

I was momentarily taken off guard by his admission, feeling more emotional than I already had been if that were possible. He obviously wasn’t thinking rationally right now. This wouldn’t be an issue for most people, but Dieter was used to always having his phone to stay connected with those he cared about. It was understandable the absence of that connection would upset him.

“Gabby made you a list of phone numbers so you can call us. It’s in your bag.”

This answer didn’t seem to dampen his anxiety in the slightest, “But I can only call during certain times? What if you don’t answer and I can’t call back?”

“I’ll answer. I promise… and if you need anything between calls, your case worker can call for you if it isn’t something that can wait.”

I could see the tears brimming in his eyes as he continued to stare at me, a pleading expression on his face - either about the phone, his stay, or something else entirely. I was not sure. I tried to keep my face neutral for his sake, but I knew I was failing. My brows drew down together without my permission as my vision blurred slightly from my own tears. He lowered his head and turned away from me, his shoulders shaking slightly from his shallow breathing. He started to clench and unclench his hands at his sides as he moved further away. I quickly wiped at my eyes and glanced over at Gabby and the ladies behind the front desk. They were all staring at the two of us with worry and concern in their eyes. I took a deep breath before walking over to Dieter, pulling him away from the onlookers and enveloping him into a tight hug. I could feel his fingers knotting in the back of my shirt as he spoke through his tears into my neck. “I’m so fucking terrified to do this and I don’t want you to leave me.” I could feel his grip tighten further as he quietly added, “We didn’t get any time to fix things.”

I gently ran my fingers through the back of his hair, “Don’t worry about that, I’ll be right here when you’re done. We can talk about it later. I want you to focus on yourself right now. When you’re better, you’re coming home to me, ok? I’m not going anywhere.”

He slowly pulled back to meet my eyes. He seemed determined now as he searched my face.

“I don’t want to spend another night away from you after this.”

I gave him a genuine smile before leaning my forehead against his and closing my eyes to savor the feeling of him, trying to memorize every little bit of him that I could. I felt a tentative hand cupping my cheek as I opened my eyes to look up at him again. I leaned into his gentle touch, for the first time in months. I had missed it so much more than I realized. I couldn’t help myself. I reached up and entwined my fingers with his hand on my cheek before pulling them to rest between us. I used my other hand to pull him toward me and gently placed a kiss on his lips.

The way his face lit up as a few more tears slid down his cheeks made my heart clench. He didn’t hesitate to reach up with both hands and pull me in for a second and third kiss before briefly resting his forehead against mine, the physical intimacy that we had to do without for months seeming to ground him a little. He took a deep steady breath as he backed away.  “Alright, let’s get this shit over with.”

Dieter’s mood shift was surprising and also a relief. He seemed to be having a moment of clarity, which I took full advantage of as I pulled him over toward Gabby so that he could help her finish with his paperwork. Things went much faster after that than I expected. Before we knew it, we were saying our goodbyes. He didn’t let go of my hand until he absolutely had to. He still looked sad, but seemed in better spirits than he was when he arrived. I was thankful for that since it made it more bearable for everyone involved.

Gabby and I had to hurry to catch our flight. We had just enough time to turn in the rental and grab a small snack as we rushed through the airport. We didn’t talk much on our way home. The topic of her brother seemed to be off limits for the both of us, as an unspoken agreement. We were both so drained from the events of the last few days that we needed a break from it. I could tell she was appreciative of having me there though. It was obvious in the small smiles and gentle hand squeeze she would randomly give me during our journey.

By the time I finally made it back to my house, I was running on empty. It was late and all I wanted to do was crawl into bed, but I somehow mustered up the energy to take a quick shower to wash the day of travel away. After that, it didn’t take long before I was out.

In the days that followed, I spent my time cleaning up the disaster that was Dieter’s house. I ended up having his bedroom furniture hauled off since several pieces were broken. It wasn’t worth the effort to try and fix them. Once that project was done, I didn’t have much else to do besides work and I did that from home. I did make an effort to spend time with Gabby and Lauren when I felt up to it. I felt it was important to work on my relationship with them since I had been so absent recently, and I didn’t want to risk isolating myself again as I was trying to cope with things. 

After a week had passed, nothing could take my mind off the fact that Dieter hadn’t called me. I was worried that he was starting to realize how badly I had handled this whole situation on my end. He was the one that ended things, but I had made zero effort to fight for us. I had let him go like it was nothing. I would expect him to be hurt by that. Gabby assured me that he hadn’t called because he was having a hard time coming off of his medication and wasn’t feeling up to much phone time. What little he had called to speak with her was to get things sorted out for work and those conversations only lasted a few minutes. She said it was obvious by the way he sounded that he wasn’t feeling well. The case worker told Gabby that he was having some withdrawal symptoms after the first few days of decreasing his medication dosages and he was having a hard time with it. I knew that was most likely the case, but that still didn’t keep the doubts from creeping in, imagining worst case scenarios.

It was nearly two weeks after we had dropped Dieter off at Sanctuary Hills when I got a surprise visit from Alex. He awkwardly greeted me as he walked through the doorway carrying a very large parcel wrapped in brown paper. I eyed it quizzically as he maneuvered it into the living room.

“What is this?”

“Dieter asked me to bring this to you that night I stayed with him at the hospital. I’m sorry, I’m just now getting around to it. He sent a not so polite reminder through Gabby about it yesterday.” 

“I take it you haven’t talked to him either then?”

Alex sighed as he shook his head, “No, not yet. Gab said he’s still kind of a mess right now because of the medication changes. She mostly talks to his case worker, I think.”

I nodded in understanding. Knowing that he hadn’t reached out to Alex either did offer some reassurances that it wasn’t just me. It hurt me beyond words to know that he was having such a hard time with the medication changes. I hoped, for his sake, that it did not last much longer. 

Alex moved to hand me the large parcel he was holding. I took it as I gave him a questioning look. I noticed his eyes lit up slightly before he gave me a smirk.

“It’s the painting from the art fundraiser.”

I knitted my brows together as I took it from him, ripping the front of the paper to reveal the painting that had turned me into an emotional mess that night. Once I had it completely unwrapped, I set it against the wall and stepped back to look at it. I realized there was something very familiar about the two figures.

More after the image

I turned to Alex, who still had the same smirk on his face, “I don’t understand. How did he know about the painting?”

His smirk slowly turned into a wide smile, “He painted it. He wanted to surprise you with it that night, but obviously that didn’t work out…”

I put my hand to my mouth, gasping audibly. Now I understood the reason I felt drawn to it that night. The two figures were us. I could feel the tears prickling at the corners of my eyes, threatening to make their escape.

“I don’t understand, when did he have time to do this? We were together constantly before he left for Canada.”

Alex moved to stand next to me, “He started it right after he got back from New York. He took a break when he went to film that movie in Mallorca but picked it up again when he got back…before he found you again.”

I chuckled in disbelief, “Well this certainly adds a whole other layer of feelings that I wasn’t expecting.”

“I know he did a lot of it at night, when he couldn’t sleep. He told me he couldn’t get you out of his head. I’m pretty sure he fell in love with you that first night you spilled your drink all over him. He wouldn’t stop talking about you, so I encouraged him to look you up. I don’t think I’ve ever in my life seen him so nervous to do something,” Alex let out a small laugh at the memory.

I didn’t even try to hold the tears back after that. How could I? It said so much about Dieter’s feelings. Alex glanced over at me, realizing my emotional state. He put his arm around my shoulder and pulled me in for a gentle side hug.

“This is the first painting he’s done in years…just so you know. You definitely woke up something inside of him. We could all see it. I really hope you two can make it work once he gets out of that place. I think you’re good for each other.”

I was taken aback by Alex’s candor regarding his brother. His words were so unexpected given how quiet and shy he always was around me. I appreciated the fact that he felt comfortable enough to open up to me some.

“I’m not sure how much I’m supposed to tell you, but fuck it, you should know. The nickname he gave you, and that phrase… la estrella del norte, la luz en la oscuridad…that’s something our mother used to say to our father. So, to me and Gabby, it’s a big deal that he used that. We’ve never heard him say it to anyone before.”

I couldn’t help the way my face scrunched up at his words. I was one hundred percent about to ugly cry. I put my hand over my eyes to hide it as Alex pulled me in for a tight hug.

“I’m sorry, I didn’t mean to upset you,” he said into the top of my hair.

“No, I’m not upset. This is a happy cry. It’s just…touching, I guess. I didn’t know that. This is a lot of information to take in and process. Thank you for telling me. I really needed this right now.”

Alex backed away and gave both of my shoulders a gentle squeeze and offered a small smile.

“Well, I won’t keep you any longer. Let Lauren know when you're free and feeling up to it and we can grab some dinner, yeah?”

I nodded and gave him a small smile as I walked him to the door.

After Alex left, I sat down on the floor in front of the painting, taking in every paint stroke. To the casual observer, it was probably just a nice painting of a couple in an embrace under the night sky. I, however, understood the subtle symbolism of the fog and darkness that surrounded the man, but not the woman and the bright star placed just above the woman in the background. The fact that something so simple could say so much was amazing to me. It had me feeling every emotion all at once.

I could not believe the origin of the nickname he had given me, or that he had started working on the painting well before he found me again. I always felt like there was more to the name, but I was not expecting that. He obviously had strong feelings toward me from the start. Looking back, I could no longer justify my reasoning for not being with him from the beginning. I hated that we had missed out on all of that time together.

I had a lot of thoughts swirling through my head that evening. I spent more time than I probably should have staring at that painting, but it was forcing me to process things that I had been avoiding. By the time I finally pulled myself up from the floor, I was mentally and physically exhausted. I went to bed after that and suffered through a night of restless sleep.

Sixty days after Dieter entered Sanctuary Hills, Gabby received a call from him, after mostly only communicating with his case worker over the past two months. He asked her to attend an in-person family counseling session there at the facility. She immediately agreed and got it scheduled. The day it happened; I was an anxious mess while I awaited news about the visit. He still hadn’t called me, or anyone else for that matter. We didn’t really understand why, but his case worker assured us that he was making progress and doing well. He was trying hard to focus on getting better and working through things a little at a time. He was very focused on his healing journey and doing everything that was asked of him. It was hard for me to understand it, being so far away and consumed by worries, but I was proud of him just the same. I was excited to know he was finally requesting to see his family and was hopeful that was a positive sign. 

As it got later into the evening, I was beginning to get concerned since I hadn’t heard from Gabby yet. She had promised to call when she left Sanctuary Hills. I sent her a few texts but did not get a response. I was about to try giving her a call when I heard a knock at the door. I was surprised to see that it was Gabby. The look on her face made my stomach drop. The fact that she hadn’t called and was now showing up with this look on her face couldn’t be a good sign. There was no greeting. She jumped right to the point, “Talia, I’m sorry to just show up, but can we talk? I don’t know who else to talk about this with and I need to talk about it.”

“Yeah, come in.”

We both walked over and sat on the couch. My hands were already fidgeting as the nerves and anticipation quickly built up. Every scenario running through my mind was scary and I wasn’t sure I could handle whatever it was she was about to say. Gabby immediately burst out into sobs. I pulled her into a hug as I tried to suppress my own panic.

“Gabby, I need for you to tell me what’s going on before I have a fucking stroke over here,” I said into her hair. She sighed heavily before pulling away to look at me.

“Dieter told me what happened that night, with mom. I wasn’t prepared for it. I can’t believe he kept that to himself all these years and it fucking kills me that I didn’t do more to support him in dealing with it. I didn’t know he was the one who found her. I always thought it was one of the workers.”

Her sobs continued as I digested her words. I felt instant relief that it wasn’t something worse, something I didn’t know of yet, but at the same time my heart broke for her. I know it had to be hard for her to hear. Hell, it was hard for me to hear.

“I’m sorry, no one else knows about it. I didn’t know who else I could talk to about it. He told me that you knew… I just needed a minute to fall apart and process it before I go home.”

“Hey, take all the time you need. I know it’s a lot to digest,” I said as I rubbed gentle circles on her back. 

“I just wished he would have opened up sooner and shared that burden with me. Maybe he wouldn’t have gotten so bad if he had. I should have tried harder to make him talk to me about it.”

“Gabby, I don’t think it would have mattered what you said to him. He wasn’t gonna talk until he was ready.”

“Yeah, you’re probably right. I just feel terrible that I didn’t know. I don’t think anyone did. I bet dad didn’t even know.”

After a few minutes of silence, she seemed to pull herself together. She reached over to grab my free hand and gave it a gentle squeeze as she smiled up at me.

“He looks so good though…healthy and alert. I really think the treatment is helping. He’s expressing his feelings so well…I - I’m honestly not sure I’ve ever heard him talk that much about how he feels.”

I couldn’t help the smile that spread across my face as happy tears slid down my cheeks.

“He said he’s gonna call you soon. He’s nervous to talk to you for some reason and embarrassed about this whole thing. I told him he didn’t need to be, but you know how he is. He misses you though, I could tell. I lost track of how many times he asked about you.”

I reached up with both hands to wipe the tears from my face. It was comforting to know that he was thinking about me. I knew it was selfish of me to think that way because he should be focusing on himself, but I would be lying if I said it didn’t make me feel better about things.

Gabby didn’t share much more of what they had talked about. Some of it was things he wanted to talk to me about himself, so I didn’t want to push for more details. Once she finally felt composed, she left for home. She had had a long day of travel and was exhausted.

She and I had gotten so close in the last two months. We had been spending a lot of our free time together, along with Lauren and Alex. It truly felt like I was part of a family with them. I loved that she was now comfortable enough with me to share her feelings openly. It was something we had all been doing since Dieter had been away. Even Alex had opened up more. Even though what had happened to Dieter was devastating, there was a silver lining in it. It had brought us all closer together. We were stronger for it and ready to welcome him home to all the support he could possibly need.

The next morning, I had just finished making a quick breakfast when my cell phone started ringing. When I glanced over at the illuminated screen, I saw it was a Tucson, Arizona number. I had waited two months to see this number appear on the screen. My breath immediately caught in my throat as my eyes teared up. I briefly hesitated to answer as the nerves took hold. After a deep breath I hit the answer button and raised the phone to my ear.

“Hello?”

“Talia?”

A/N: Y'all still with me? How are you feeling after that one? Progress? Maybe? As I have said before, digital art is not one of my strengths, but hopefully what I attempted to do gives you an idea of what I see in my head for Dieter's painting. Again, this one looks better in my head too. LOL! Wasn't that a sweet moment between Talia and Alex though? Also, that moment between Dieter and Alex hit me in the feels too. Then of course, the whole of the Dieter and Talia interactions in this chapter. Poor Gabby... now she knows everything. So many feels in this one! Aaaahhh!😭 Next chapter our dear Dieter and Talia will be reunited in a controlled setting to work through their issues together. It will probably be another rough one. We will get Dieter's official diagnosis and with that you will get a Deconstructing Dieter Bravo post. We will get some details on Talia's past which will also include a Today's Musings post for supplemental reading. So, you will get all sorts of goodies with the next chapter. 😉 In case you missed it, I have included the mood board for this chapter below. Last but not least, a huge thank you to my wonderful beta, @for-a-longlongtime. Seriously, it wouldn't be as good without her feedback. As always, please share your thoughts and theories. You know I'm a sucker for them. 💜

Next Chapter

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[mariacallous]

This story is part of a joint investigation between Lighthouse Reports and WIRED. To read other stories from the series, click here.

Mitch Daniels is a numbers guy, a cost-cutter. In the early 2000s, he tried and failed to rein in congressional spending under then-US president George W. Bush. So when he took office as Indiana governor in 2005, Daniels was ready to argue once again for fiscal discipline. He wanted to straighten out Indiana’s state government, which he deemed rife with dysfunction. And he started with its welfare system. “That department had been rocked by a series of criminal indictments, with cheats and caseworkers colluding to steal money meant for poor people,” he later said.

Daniels’ solution took the form of a $1.3 billion, 10-year contract with IBM. He had lofty ambitions for the project, which started in 2006, claiming it would improve the benefits service for Indiana residents while cracking down on fraud, ultimately saving taxpayers billions of dollars.

But the contract was a disaster. It was canceled after three years, and IBM and Indiana spent a decade locked in a legal battle about who was to blame. Daniels described IBM’s sweeping redesign and automation of the system—responsible for deciding who was eligible for everything from food stamps to medical cover—as deficient. He was adamant, though, that outsourcing a technical project to a company with expertise was the right call. “It was over-designed,” he said. “Great on paper but too complicated to work in practice.” IBM declined a request for comment. 

In July 2012, Judge David Dryer of the Marion County Superior Court ruled that Indiana had failed to prove IBM had breached its contract. But he also delivered a damning verdict on the system itself, describing it as an untested experiment that replaced caseworkers with computers and phone calls. “Neither party deserves to win this case,” he said. “This story represents a ‘perfect storm’ of misguided government policy and overzealous corporate ambition.” 

That might have been an early death knell for the burgeoning business of welfare state automation. Instead, the industry exploded. Today, such fraud systems form a significant part of the nebulous “govtech” industry, which revolves around companies selling governments new technologies with the promise that new IT will make public administration easier-to-use and more efficient. In 2021, that market was estimated to be worth €116 billion ($120 billion) in Europe and $440 billion globally. And it’s not only companies that expect to profit from this wave of tech. Governments also believe modernizing IT systems can deliver big savings. Back in 2014, the consultancy firm McKinsey estimated that if government digitization reached its “full potential,” it could free up $1 trillion every year. 

Contractors around the world are selling governments on the promise that fraud-hunting algorithms can help them recoup public funds. But researchers who track the spread of these systems argue that these companies are often overpaid and under-supervised. The key issue, researchers say, is accountability. When complex machine learning models or simpler algorithms are developed by the private sector, the computer code that gets to define who is and isn’t accused of fraud is often classed as intellectual property. As a result, the way such systems make decisions is opaque and shielded from interrogation. And even when these algorithmic black holes are embroiled in high-stakes legal battles over alleged bias, the people demanding answers struggle to get them. 

In the UK, a community group called the Greater Manchester Coalition of Disabled People is trying to determine whether a pattern of disabled people being investigated for fraud is linked to government automation projects. In France, the digital rights group La Quadrature du Net has been trying for four months to find out whether a fraud system is discriminating against people born in other countries. And in Serbia, lawyers want to understand why the introduction of a new system has resulted in hundreds of Roma families losing their benefits. “The models are always secret,” says Victoria Adelmant, director of New York University’s digital welfare state project. “If you don’t have transparency, it’s very difficult to even challenge and assess these systems.” 

The rollout of automated bureaucracy has happened quickly and quietly, but it has left a trail of scandals in its wake. In Michigan, a computer system used between 2013 and 2015 falsely accused 34,000 people of welfare fraud. A similar thing happened in Australia between 2015 and 2019, but on a larger scale: The government accused 400,000 people of welfare fraud or error after its social security department started using a so-called robodebt algorithm to automatically issue fines.

Another scandal emerged in the Netherlands in 2019 when tens of thousands of families—many of them from the country’s Ghanaian community—were falsely accused of defrauding the child benefits system. These systems didn’t just contribute to agencies accusing innocent people of welfare fraud; benefits recipients were ordered to repay the money they had supposedly stolen. As a result, many of the accused were left with spiraling debt, destroyed credit ratings, and even bankruptcy. 

Not all government fraud systems linked to scandals were developed with consultancies or technology companies. But civil servants are increasingly turning to the private sector to plug knowledge and personnel gaps. Companies involved in fraud detection systems range from giant consultancies—Accenture, Cap Gemini, PWC—to small tech firms like Totta Data Lab in the Netherlands and Saga in Serbia.

Experts in automation and AI are expensive to hire and less likely to be wooed by public sector salaries. When the UK surveyed its civil servants last year, confidence in the government’s ability to use technology was low, with around half of respondents blaming an inability to hire top talent. More than a third said they had few or no skills in artificial intelligence, machine learning, or automation. But it’s not just industry experience that makes the private sector so alluring to government officials. For welfare departments squeezed by budget cuts, “efficiency” has become a familiar buzzword. “Quite often, a public sector entity will say it is more efficient for us to go and bring in a group of consultants,” says Dan Sheils, head of European public service at Accenture.

The public sector lacks the expertise to create these systems and also to oversee them, says Matthias Spielkamp, cofounder of German nonprofit Algorithm Watch, which has been tracking automated decision-making in social welfare programs across Europe since 2017. In an ideal world, civil servants would be able to develop these systems themselves and have an in-depth understanding of how they work, he says. “That would be a huge difference to working with private companies, because they will sell you black-box systems—black boxes to everyone, including the public sector.” 

In February 2020, a crisis broke out in the Dutch region of Walcheren as officials realized they were in the dark about how their own fraud detection system worked. At the time, a Dutch court had halted the use of another algorithm used to detect welfare fraud, known as SyRI, after finding it violated people’s right to privacy. Officials in Walcheren were not using SyRI, but in emails obtained by Lighthouse Reports and WIRED through freedom-of-information requests, government employees had raised concerns that their algorithm bore striking similarities to the one just condemned by the court.

Walcheren’s system was developed by Totta Data Lab. After signing a contract in March 2017, the Dutch startup developed an algorithm to sort through pseudonymous information, according to details obtained through a freedom-of-information request. The system analyzed details of local people claiming welfare benefits and then sent human investigators a list of those it classified as most likely to be fraudsters. 

The redacted emails show local officials agonizing over whether their algorithm would be dragged into the SyRI scandal. “I don’t think it is possible to explain why our algorithm should be allowed while everyone is reading about SyRI,” one official wrote the week after the court ruling. Another wrote back with similar concerns. “We also do not get insight from Totta Data Lab into what exactly the algorithm does, and we do not have the expertise to check this.” Neither Totta nor officials in Walcheren replied to requests for comment. 

When the Netherlands’ Organization for Applied Scientific Research, an independent research institute, later carried out an audit of a Totta algorithm used in South Holland, the auditors struggled to understand it. “The results of the algorithm do not appear to be reproducible,” their 2021 report reads, referring to attempts to re-create the algorithm’s risk scores. “The risks indicated by the AI algorithm are largely randomly determined,” the researchers found. 

With little transparency, it often takes years—and thousands of victims—to expose technical shortcomings. But a case in Serbia provides a notable exception. In March 2022, a new law came into force which gave the government the green light to use data processing to assess individuals’ financial status and automate parts of its social protection programs. The new socijalna karta, or social card system, would help the government detect fraud while making sure welfare payments were reaching society’s most marginalized, claimed Zoran Đorđević, Serbia’s minister of social affairs in 2020. 

But within months of the system’s introduction, lawyers in the capital Belgrade had started documenting how it was discriminating against the country’s Roma community, an already disenfranchised ethnic minority group. 

Mr. ​​Ahmetović, a welfare recipient who declined to share his first name out of concern that his statement could affect his ability to claim benefits in the future, says he hadn’t heard of the social card system until November 2022, when his wife and four children were turned away from a soup kitchen on the outskirts of the Serbian capital. It wasn’t unusual for the Roma family to be there, as their welfare payments entitled them to a daily meal provided by the government. But on that day, a social worker told them their welfare status had changed and that they would no longer be getting a daily meal.

The family was in shock, and Ahmetović rushed to the nearest welfare office to find out what had happened. He says he was told the new social card system had flagged him after detecting income amounting to 110,000 Serbian dinars ($1,000) in his bank account, which meant he was no longer eligible for a large chunk of the welfare he had been receiving. Ahmetović was confused. He didn’t know anything about this payment. He didn’t even have his own bank account—his wife received the family’s welfare payments into hers. 

With no warning, their welfare payments were slashed by 30 percent, from around 70,000 dinars ($630) per month to 40,000 dinars ($360). The family had been claiming a range of benefits since 2012, including financial social assistance, as their son’s epilepsy and unilateral paralysis means neither parent is able to work. The drop in support meant the Ahmetovićs had to cut back on groceries and couldn’t afford to pay all their bills. Their debt ballooned to over 1 million dinars ($9,000). 

The algorithm’s impact on Serbia’s Roma community has been dramatic. ​​Ahmetović says his sister has also had her welfare payments cut since the system was introduced, as have several of his neighbors. “Almost all people living in Roma settlements in some municipalities lost their benefits,” says Danilo Ćurčić, program coordinator of A11, a Serbian nonprofit that provides legal aid. A11 is trying to help the Ahmetovićs and more than 100 other Roma families reclaim their benefits.

But first, Ćurčić needs to know how the system works. So far, the government has denied his requests to share the source code on intellectual property grounds, claiming it would violate the contract they signed with the company who actually built the system, he says. According to Ćurčić and a government contract, a Serbian company called Saga, which specializes in automation, was involved in building the social card system. Neither Saga nor Serbia’s Ministry of Social Affairs responded to WIRED’s requests for comment.

As the govtech sector has grown, so has the number of companies selling systems to detect fraud. And not all of them are local startups like Saga. Accenture—Ireland’s biggest public company, which employs more than half a million people worldwide—has worked on fraud systems across Europe. In 2017, Accenture helped the Dutch city of Rotterdam develop a system that calculates risk scores for every welfare recipient. A company document describing the original project, obtained by Lighthouse Reports and WIRED, references an Accenture-built machine learning system that combed through data on thousands of people to judge how likely each of them was to commit welfare fraud. “The city could then sort welfare recipients in order of risk of illegitimacy, so that highest risk individuals can be investigated first,” the document says. 

Officials in Rotterdam have said Accenture’s system was used until 2018, when a team at Rotterdam’s Research and Business Intelligence Department took over the algorithm’s development. When Lighthouse Reports and WIRED analyzed a 2021 version of Rotterdam’s fraud algorithm, it became clear that the system discriminates on the basis of race and gender. And around 70 percent of the variables in the 2021 system—information categories such as gender, spoken language, and mental health history that the algorithm used to calculate how likely a person was to commit welfare fraud—appeared to be the same as those in Accenture’s version.

When asked about the similarities, Accenture spokesperson Chinedu Udezue said the company’s “start-up model” was transferred to the city in 2018 when the contract ended. Rotterdam stopped using the algorithm in 2021, after auditors found that the data it used risked creating biased results.

Consultancies generally implement predictive analytics models and then leave after six or eight months, says Sheils, Accenture’s European head of public service. He says his team helps governments avoid what he describes as the industry’s curse: “false positives,” Sheils��� term for life-ruining occurrences of an algorithm incorrectly flagging an innocent person for investigation. “That may seem like a very clinical way of looking at it, but technically speaking, that's all they are.” Sheils claims that Accenture mitigates this by encouraging clients to use AI or machine learning to improve, rather than replace, decision-making humans. “That means ensuring that citizens don’t experience significantly adverse consequences purely on the basis of an AI decision.” 

However, social workers who are asked to investigate people flagged by these systems before making a final decision aren’t necessarily exercising independent judgment, says Eva Blum-Dumontet, a tech policy consultant who researched algorithms in the UK welfare system for campaign group Privacy International. “This human is still going to be influenced by the decision of the AI,” she says. “Having a human in the loop doesn’t mean that the human has the time, the training, or the capacity to question the decision.” 

Despite the scandals and repeated allegations of bias, the industry building these systems shows no sign of slowing. And neither does government appetite for buying or building such systems. Last summer, Italy’s Ministry of Economy and Finance adopted a decree authorizing the launch of an algorithm that searches for discrepancies in tax filings, earnings, property records, and bank accounts to identify people at risk of not paying their taxes. 

But as more governments adopt these systems, the number of people erroneously flagged for fraud is growing. And once someone is caught up in the tangle of data, it can take years to break free. In the Netherlands’ child benefits scandal, people lost their cars and homes, and couples described how the stress drove them to divorce. “The financial misery is huge,” says Orlando Kadir, a lawyer representing more than 1,000 affected families. After a public inquiry, the Dutch government agreed in 2020 to pay the families around €30,000 ($32,000) in compensation. But debt balloons over time. And that amount is not enough, says Kadir, who claims some families are now €250,000 in debt. 

In Belgrade, ​​Ahmetović is still fighting to get his family’s full benefits reinstated. “I don’t understand what happened or why,” he says. “It’s hard to compete against the computer and prove this was a mistake.” But he says he’s also wondering whether he’ll ever be compensated for the financial damage the social card system has caused him. He’s yet another person caught up in an opaque system whose inner workings are guarded by the companies and governments who make and operate them. Ćurčić, though, is clear on what needs to change. “We don’t care who made the algorithm,” he says. “The algorithm just has to be made public.”

Additional reporting by Gabriel Geiger and Justin-Casimir Braun.

[rjzimmerman]

Arkansas May Have Vast Lithium Reserves, Researchers Say. (New York Times)

Excerpt from this New York Times story:

Researchers at the United States Geological Survey and the Arkansas government announced on Monday that they had found a trove of lithium, a critical raw material for electric vehicle batteries, in an underground brine reservoir in Arkansas.

With the help of water testing and machine learning, the researchers determined that there might be five million to 19 million tons of lithium — more than enough to meet all of the world’s demand for the metal — in a geological area known as the Smackover Formation. Several companies, including Exxon Mobil, are developing projects in Arkansas to produce lithium, which is dissolved in underground brine.

Whether lithium harvesting takes hold in the region will depend on the ability of those companies to scale up new methods of extracting the valuable battery ingredient from salty water. The processing technique that Exxon and others are pursuing in Arkansas, known as direct lithium extraction, generally costs more than more conventional methods do, according to the consulting firm Wood Mackenzie.

Energy and mining companies have long produced oil, gas and other natural resources in the Smackover, which extends from Texas to Florida. And the federal and state researchers said lithium could be extracted from the waste stream of the brines from which companies extracted other forms of energy and elements.

“The potential for increased U.S. production to replace imports has implications for employment, manufacturing and supply chain resilience,” David Applegate, the director of the United States Geological Survey, said in a statement announcing the study. “This study illustrates the value of science in addressing economically important issues.”

Federal researchers also have identified other potential resources that could produce large quantities of lithium, including the Salton Sea in Southern California, where Berkshire Hathaway Energy and other companies are working to extract lithium from hot liquid pumped up from an aquifer more than 4,000 feet below the ground by geothermal power plants.

Exxon Mobil recently drilled exploratory wells in Arkansas and was evaluating whether it could extract lithium in a cost-competitive way, Dan Ammann, the president of the company’s Low Carbon Solutions business, said in an interview last month.

[aionlinemoney]

India’s Tech Sector to Create 1.2 Lakh AI Job Vacancies in Two Years

India’s technology sector is set to experience a hiring boom with job vacancies for artificial intelligence (AI) roles projected to reach 1.2 lakh over the next two years. As the demand for AI latest technology increases across industries, companies are rapidly adopting advanced tools to stay competitive. These new roles will span across tech services, Global Capability Centres (GCCs), pure-play AI and analytics firms, startups, and product companies.

Following a slowdown in tech hiring, the focus is shifting toward the development of AI. Market analysts estimate that Indian companies are moving beyond Proof of Concept (PoC) and deploying large-scale AI systems, generating high demand for roles such as AI researchers, product managers, and data application specialists. “We foresee about 120,000 to 150,000 AI-related job vacancies emerging as Indian IT services ramp up AI applications,” noted Gaurav Vasu, CEO of UnearthInsight.

India currently has 4 lakh AI professionals, but the gap between demand and supply is widening, with job requirements expected to reach 6 lakh soon. By 2026, experts predict the number of AI specialists required will hit 1 million, reflecting the deep integration of AI latest technology into industries like healthcare, e-commerce, and manufacturing.

The transition to AI-driven operations is also altering the nature of job vacancies. Unlike traditional software engineering roles, artificial intelligence positions focus on advanced algorithms, automation, and machine learning. Companies are recruiting experts in fields like deep learning, robotics, and natural language processing to meet the growing demand for innovative AI solutions. The development of AI has led to the rise of specialised roles such as Machine Learning Engineers, Data Scientists, and Prompt Engineers.

Krishna Vij, Vice President of TeamLease Digital, remarked that new AI roles are evolving across industries as AI latest technology becomes an essential tool for product development, operations, and consulting. “We expect close to 120,000 new job vacancies in AI across different sectors like finance, healthcare, and autonomous systems,” he said.

AI professionals also enjoy higher compensation compared to their traditional tech counterparts. Around 80% of AI-related job vacancies offer premium salaries, with packages 40%-80% higher due to the limited pool of trained talent. “The low availability of experienced AI professionals ensures that artificial intelligence roles will command attractive pay for the next 2-3 years,” noted Krishna Gautam, Business Head of Xpheno.

Candidates aiming for AI roles need to master key competencies. Proficiency in programming languages like Python, R, Java, or C++ is essential, along with knowledge of AI latest technology such as large language models (LLMs). Expertise in statistics, machine learning algorithms, and cloud computing platforms adds value to applicants. As companies adopt AI latest technology across domains, candidates with critical thinking and  AI adaptability will stay ahead so it is important to learn and stay updated with AI informative blogs & news.

Although companies are prioritising experienced professionals for mid-to-senior roles, entry-level job vacancies are also rising, driven by the increased use of AI in enterprises. Bootcamps, certifications, and academic programs are helping freshers gain the skills required for artificial intelligence roles. As AI development progresses, entry-level roles are expected to expand in the near future. AI is reshaping the industries providing automation & the techniques to save time , to increase work efficiency. 

India’s tech sector is entering a transformative phase, with a surge in job vacancies linked to AI latest technology adoption. The next two years will witness fierce competition for AI talent, reshaping hiring trends across industries and unlocking new growth opportunities in artificial intelligence. Both startups and established companies are racing to secure talent, fostering a dynamic landscape where artificial intelligence expertise will be help in innovation and growth. AI will help organizations and businesses to actively participate in new trends.

#aionlinemoney.com

[elsa16744]

The Role of Data Analytics Consulting in Business Growth 

Professional data analysts guide corporate clients in modifying operations, attracting customers, and solving business problems. Therefore, they can assist brands in increasing operational efficiency for better profit margins and crafting exceptional growth strategies. At the same time, integrating new tech advancements like large language models (LLMs) empowers analytics consultants to process qualitative data for comprehensive insights. This post will elaborate on the crucial role of data analytics consulting in business growth and competitive resilience.  

What is Data Analytics? 

Data analytics employs computer-aided statistical models to discover reliable industry trends, competitor tactics, and consumer insights. Its input datasets comprise consumer purchase history, supply chain details, and regional market entry challenges. 

A consulting analyst might utilize proprietary and open-source programs to develop statistical models and flexible reports to deliver insights based on clients’ instructions. Therefore, experts in data analytics consulting services will find the best approach to cost reduction without losing data integrity. They might also help share the digital governance liabilities amid the rise of privacy and investor confidentiality regulations.  

Understanding the Role of Data Analytics Consulting in Business Growth 

1| Creating a Data Strategy to Accomplish Business Goals 

Relevant data is essential for responsible decision-making, clever milestone determination, and strategy innovation. Data analytics allows organizations to check how a data point relates to its long-term vision and performance. 

For instance, prioritizing tangible results helps make reports more impactful. Eliminating data points that do not align with business goals can help reduce resource consumption for storage and visualization. After all, streamlined computing is a prerequisite for operational efficiency. 

2| Forecasting Scenarios for Risk Assessment and Mitigation  

Data analysts interpolate data points to estimate the missing values in a database. Likewise, they leverage machine learning (ML) models to offer predictive analytics consulting services for revenue, risk, and industry projections. 

Related forecasting report creation programs require powerful computing hardware. Otherwise, enterprises use cloud platforms for scalability and expert-assisted tech maintenance. Letting a data analyst team oversee these developments will also enable brands to benefit from outsider perspectives during risk or resilience management. 

3| Making Reports More User-Friendly with Precise Performance Insights 

Complex and over-tabulated reports make employees spend more time performing standard tasks like sharing a record or comparing identical series. Data analytics consultants can revise reporting methods and presentation styles to boost the ease of navigation. They will guide your team in efficiently using recognized and emerging analytical tools. 

Consultants must also demonstrate command over performance metrics monitoring through straightforward, real-time updates. When they quickly capture anomalies, promptly tracing and rectifying inefficiencies becomes possible.  

3| Gathering Relevant Intelligence 

Data quality managers consider relevance to business objectives essential for responsible decision-making and preventing wasteful resource usage. Therefore, experienced data analytics firms refrain from employing data mining methods without adequate programming for relevance-based filtering. 

When you store irrelevant business intelligence (BI), you increase the risk of slowing data sorting and query-led quick retrieval. After all, your IT resources must scan vast datasets before providing the best output or insight. The related role of analytics consulting in business growth encompasses devising methods to restrict irrelevant BI processing. 

4| Finding Unique Customer Experience Insights 

Several consultants offer customer analytics comprising engagement metrics and customer experience (CX) enhancement ideas. They can also evaluate whether a customer will help increase brand awareness through word-of-mouth promotions. 

Companies can leverage heatmaps and website engagement metrics to ascertain user interactions and intents. For instance, many consumers prefer surfing the web and reviewing businesses’ online presence for informational and commercial intent. You want to customize landing pages to match the intent and design programs based on frequent usage for CX improvements. Telemetry and usage analytics specialists will help your designers test and optimize the required elements. 

5| Helping Manage Workers and Data Culture 

Human resource insights describing how employees contribute to organizational initiatives allow managers to reward the top performers. Simultaneously, they can determine which employees need further guidance on efficient workflows and team coordination. 

Examining employee performance through ML-assisted analytics necessitates secure data pipelines because employees’ personally identifiable information (PII) also attracts cyber threats. Consider identity theft attackers stealing and forging virtual IDs to hijack enterprise IT systems for corporate espionage. 

Therefore, you are better off collaborating with established human resource analysts and data culture veterans. They can facilitate comprehensive insights without hurting your company’s governance standards. 

6| Accelerating Innovation and Monitoring Patents 

A company’s intellectual property (IP) rights demonstrate its domain expertise and unlock additional revenue through licensing or sublicensing regimes. However, as markets mature, multiple brands will inevitably promise identical or commoditized offerings. This situation makes it harder to differentiate these brands based on standard specifications. 

Innovation engineering, a discipline inspired by the systems approach for hybrid tech tools, is essential to making your branded offerings attract investments and demand. At the same time, data analytics consulting is indispensable for uncovering innovation opportunities to ensure clients’ business growth. It reduces the time spent tracking registered patents and predicting legal conflicts in securing IP rights. 

The Methods in Data Analytics for Steady Business Growth 

Time series analysis describes a business’s past performance and forecasts future growth potential. Furthermore, you can apply it to market intelligence, competitor insights, and investor relations. 

Regression analysis establishes or investigates the relationship between dependent and independent variables to create statistical models. These models can later help explore specific predictions. 

Cluster analysis often groups data points based on similar attributes to streamline conditional sorting, visualization, prioritization, and multi-model methods. 

Meanwhile, factor analysis emphasized data reduction to highlight latent variables. These variables explain the underlying data structure, informing data leaders’ strategies for efficient modeling. 

Predictive and prescriptive analyses deliver scenario simulations. You want to define constraints related to favorable and unfavorable decision outcomes. Next, exploring the risk-reward aspects will help discard potentially harmful decisions or strategies. Prescriptive methods give risk mitigation ideas concerning internal and external threats. 

Conclusion 

Data-centric business growth depends on responsible data source selection, safe data storage, fast validation, and short time-to-insight (TTI). Accordingly, professional data analysts recognize these requirements, sharpening their skills and augmenting their toolkits to deliver smart insights and meet client expectations. 

A supply chain analytics expert will help reduce the delays between material acquisition, production, inventory replenishment, remote delivery, and final distribution. At the same time, a human resource analyst categorizes employees and suppliers based on their key performance indicators (KPIs). A financial analyst can provide practical cost reduction recommendations, and a risk analyst will devise resilience-ensuring mitigation strategies.  

As a result, leaders must identify what type of data analytics consulting role will let them accomplish business growth objectives for the given quarter. Do they want to solve a problem involving in-house operations or plan to enter a new market? Similar considerations will impact how you select analytics partners and tools. This process might overwhelm you, indicating a need for experts’ oversight from the beginning till the project completion. 

[northdigitalacademy]

Best Course After Graduation With 100% Placement In Amritsar

Choosing the best skill course after graduation with 100% placement in Amritsar would depend on your interests, career goals, and the demand in the job market. Here are some popular skill courses that often have high placement rates and demand in various industries:

Digital Marketing: With the increasing digitization of businesses, digital marketing skills are in high demand. Courses covering SEO, social media marketing, content marketing, and analytics can equip you with valuable skills sought after by companies of all sizes. North Digital Academy will consider as best option if you are planning for digital marketing 

Data Science and Analytics: Data is driving decision-making across industries. Learning skills in data analysis, machine learning, and data visualization can lead to lucrative career opportunities in sectors like finance, healthcare, e-commerce, and more.

Web Development: Web developers are needed to build and maintain websites for businesses and organizations. Learning front-end and back-end development languages like HTML, CSS, JavaScript, and frameworks like React or Angular can open doors to employment opportunities.

Graphic Design: If you have a creative flair, pursuing a course in graphic design can lead to opportunities in advertising agencies, design studios, publishing houses, and more. Learning tools like Adobe Photoshop, Illustrator, and InDesign is essential for this field.

Hospitality Management: Amritsar is a tourist destination with a growing hospitality industry. Courses in hospitality management can lead to jobs in hotels, resorts, event management companies, and tourism agencies.

English Language Training: With the increasing importance of English language skills in various sectors, courses in English language training can lead to opportunities as English language trainers, content writers, or communication specialists.

Accounting and Finance: Courses in accounting software like Tally or courses in financial accounting can lead to job opportunities in accounting firms, corporate finance departments, or banks.

When choosing a course, consider factors such as the reputation of the institution offering the course, the curriculum, industry relevance, and placement records. Additionally, conducting thorough research and consulting with professionals in your desired field can help you make an informed decision.

[otbsolutions]

6 Cutting-Edge Web Development Trends in London for 2023

Innovative websites balance creativity, performance and future-proofing across digital experiences. The latest web development requires ongoing learning due to fast technology changes. What are the popular frameworks, techniques, and interactions are people discussing for the upcoming year? Top UX Design Company London and coders are sharing the latest web trends that influence their strategic consulting for 2023 engagements.

1. Progressive Web Apps (PWAs)

Web Design Services London says Progressive Web Apps are a game-changer. They bring together web and mobile apps' high performance and user engagement. Like traditional web pages, PWAs load quickly, offering functionality like offline accessibility and push notifications. Businesses in London that choose PWA technology will enjoy better user experiences, higher conversion rates, and lower development costs.

2. AI and Machine Learning Integration

More and more web design services London UK include artificial intelligence and machine learning in web development. They analyze users 'behavior and preferences and provide customized experiences for users. Whether through chatbots that provide immediate customer service, or through AI-assisted personalization of content and gifts, AI and machine learning are changing how companies do business online with their customers.

3. Voice Search Optimization

With voice-activated devices becoming ubiquitous, focusing on voice search is becoming essential. Digital Marketing Services in London believes that web content must be adapted to voice queries, which are more conversational and longer than typed searches. This trend is geared towards making your website's information easy to find through voice search, improving navigability and user experience.

4. Motion UI Design

Motion UI is a rising trend among the London UI design Company experts. Animations and dynamic graphics are used to liven up web pages and make them interactive. This year, you will see more sites using inconspicuous animations, hover effects, and background animations to direct user focus and to enhance storytelling on pages.

5. Cybersecurity Enhancements

Experts in IT Consultation service London are discussing the need for strong cybersecurity in web development due to the growing threats in the digital world. It means using modern security protocols, doing regular security audits, and following data protection rules. Companies must protect their data and build trust with customers.

6. Sustainable Web Design

Sustainability in web design is an emerging trend. Therefore, Web Design London firms have focused on developing environmentally friendly and energy-efficient websites. This means optimizing images and videos for quicker load times, using eco-friendly hosting services, and designing for less data transfer. It's about designing sites not only pretty and functional, but friendly to Mother Earth.

Conclusion

London Web Development Services stays ahead of tech shifts. They do this to serve clients better. They experiment, test solutions, and adopt new technologies early. They also choose the right time to implement these changes. OTB Solutions is the Best UX Company In London and a digital transformation expert. They combine strategic vision with tactical implementations. Their goal is to convert ambitious ideas into engaging online experiences. These experiences are future-ready and prepared for what comes next.

[gouravsapra]

A top machine learning development company shines with deep AI expertise, skilled data management, and advanced tools. Their certified team ensures innovative solutions and transparent processes, backed by cutting-edge research and creative problem-solving.

[insignia2023]

Mastering Machine Learning | Insignia Consultancy

Delve into the world of machine learning with our comprehensive guide, designed to demystify complex concepts and empower you to apply cutting-edge techniques.

[sanjeevmansotra]

Sanjeev Mansotra on Digital Revolution in Africa: Unveiling the Potential for Growth and Innovation

Africa, sometimes called the "dark continent," is currently experiencing a digital revolution that is altering how people live, work, and interact. The African continent is embracing the digital era and unlocking its potential for prosperity and creativity because of technological advancements and improved internet connectivity. According to Sanjeev Mansotra digital technology, including computers, applications, and machine learning, presents new possibilities for individuals, companies, and occupations. This shows that having access to the Internet in African nations boosts employment and lowers poverty. 

The broad adoption of mobile technology has been one of the main forces behind this digital revolution. In Sub-Saharan Africa, smartphone use will rise to 87% by 2030 from 51% in 2022, predicts the Global System Operators and Manufacturers Association (GSMA) report "The Mobile Economy 2023," which was published on February 27, 2023. “By incorporating AI into banking, education, health care, and many other industries, Africa has a significant opportunity to make its mark on the digital revolution and advance the digital culture there”, asserts Sanjeev Gandhavraj Mansotra.

One such invention that is altering the financial environment in Africa is mobile money. Mobile money platforms have developed as a substitute for traditional banking services, making it possible for people to send and receive money, pay bills, and access financial services via their mobile phones. Traditional banking services are inaccessible to many Africans. Millions of formerly unbanked people now have access to financial services, boosting the economy and lowering poverty. 

In Africa, the digital revolution is changing entrepreneurship and education. The education gap is closed, and African youth are given more power thanks to e-learning platforms and online courses. In industries including fintech, e-commerce, health tech, and agritech, African tech startups are on the rise, utilizing technology to address regional issues and raise living standards. As per Sanjeev Mansotra’s core education analysis African government must adopt the growing digital culture, whether it is about AI in education, banking healthcare, or fintech, the continent must educate itself with digital literacy as today’s era is completely transforming into digital aspects.  

The digital revolution is also making it easier to access necessities like healthcare. To receive medical advice and consultations without having to travel, telemedicine platforms connect patients with doctors virtually. Bridging the gap between isolated people and healthcare experts is especially important in rural areas with few healthcare facilities. 

Africa's digital revolution is not without its difficulties. Obstacles including the digital gap, a lack of infrastructure, and cybersecurity issues must be addressed. However, there is a tremendous opportunity for growth and innovation if firms and governments invest in digital infrastructure and regulations. 

In Africa, the digital revolution is leveling the playing field, empowering people, and opening new avenues for social and economic advancement. As Africa uses technology to its advantage, it will soon dominate the digital economy and serve as a powerhouse for creativity and innovation. Africa's digital revolution is paving the way for a better future by creating a connected, thriving continent that is equipped to meet the challenges of the twenty-first century.

[360digitmg-datascience]

Building Future-Ready Skills: Data Science Courses in Noida

Building future-ready skills in data science is essential in today's data-driven world. Noida, as a growing technology hub, offers a range of data science courses and programs to help individuals develop the skills needed to excel in this field. Here's a look at some data science courses and programs available in Noida:

Bachelor's Degree Programs:

Many universities and colleges in Noida offer undergraduate programs in computer science, data science, or related fields. These programs provide a solid foundation in programming, statistics, and data analysis.

Example: B.Sc. in Data Science, B.Tech in Computer Science with Data Science specialization.

Master's Degree Programs:

Postgraduate programs in data science, business analytics, and artificial intelligence are popular choices for those looking to specialize in this field.

Example: M.Sc. in Data Science, M.Tech in Artificial Intelligence, MBA in Business Analytics.

Postgraduate Diploma in Data Science:

Many institutes and universities offer one-year postgraduate diploma programs specifically designed to equip students with practical data science skills.

Example: Postgraduate Diploma in Data Science and Machine Learning.

Certification Courses:

Short-term certification courses provide focused training in data science tools, techniques, and programming languages.

Example: Certificate in Data Science, Python for Data Science Certification.

Online Courses:

Online learning platforms like Coursera, edX, and Udemy offer a wide range of data science courses that can be taken from anywhere in Noida.

Example: "Data Science Specialization" on Coursera, "Data Science MicroMasters" on edX.

Corporate Training Programs:

Some IT companies and consulting firms in Noida offer in-house data science training programs for their employees, which can be highly specialized and job-oriented.

Data Analytics Bootcamps:

Bootcamps are intensive, short-term programs that focus on practical skills and often include real-world projects.

Example: Data Science Bootcamp, Machine Learning Bootcamp.

Specialized Workshops and Seminars:

Noida hosts various workshops, seminars, and meetups related to data science, machine learning, and artificial intelligence. These events provide an opportunity to learn from experts and network with professionals in the field. let's delve deeper into the various aspects of data science courses in Noida:

1. Curriculum and Topics Covered:

Data science courses typically cover a wide range of topics, including data analysis, machine learning, statistical modeling, data visualization, and programming languages such as Python and R. Ensure that the course you choose aligns with your career goals and interests.

2. Practical Experience:

Practical experience is crucial in data science. Look for programs that offer hands-on projects, case studies, and access to real datasets. Practical exposure helps you apply your knowledge to real-world problems.

3. Faculty Expertise:

The quality of instructors can greatly impact your learning experience. Research the faculty's qualifications, industry experience, and their contributions to the field of data science.

4. Industry Connections and Internship Opportunities:

Institutes with strong ties to the industry often provide opportunities for internships and collaborations with companies. These experiences can help you gain practical experience and potentially lead to job offers.

5. Placement Assistance:

Check whether the institute offers placement support and has a track record of placing students in reputable companies. Good placement assistance can significantly boost your career prospects.

6. Flexibility and Duration:

Consider your schedule and preferences. Some courses are full-time, while others offer part-time or online options, making it easier for working professionals to upskill.

7. Certification and Accreditation:

Look for courses that provide industry-recognized certifications upon completion. These certifications can enhance your credibility in the job market.

8. Alumni Network:

Institutes with active alumni networks can be valuable for networking, mentorship, and job referrals. Connect with alumni to gain insights into their experiences and career paths.

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9. Cost and Financial Aid:

Compare the costs of different programs and check if there are any scholarships, financial aid, or installment options available to ease the financial burden.

10. Continuing Education and Resources:

Data science is an ever-evolving field. Choose an institute that supports lifelong learning through resources, workshops, and alumni access to updated content.

11. Infrastructure and Technology:

Ensure that the institute has the necessary infrastructure, including computer labs with the latest software and tools for data analysis.

12. Course Reviews and Testimonials:

Read reviews and testimonials from previous students to gauge their satisfaction with the course and its impact on their careers.

13. Location and Networking:

Noida's proximity to Delhi and its thriving tech industry provides ample networking opportunities, as well as access to tech conferences, seminars, and job fairs.

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14. Specializations:

Depending on your interests and career goals, consider whether the program offers specializations in areas like deep learning, natural language processing, or big data analytics.

Remember that building a successful career in data science requires dedication, continuous learning, and practical application of skills. Therefore, choose a course that not only imparts knowledge but also equips you with the ability to adapt to the ever-changing landscape of data science. Additionally, consider seeking advice from professionals already working in the field to gain insights into the most relevant skills and courses for your specific career aspirations.

When choosing a data science course in Noida, consider your background, career goals, and preferred learning format. It's also important to research the institute or platform offering the course, review the curriculum, and seek feedback from past students if possible. Additionally, look for programs that provide hands-on experience and opportunities for practical application of data science skills, as real-world projects can significantly enhance your learning and future employability.

Source link: Data Analytics Case Studies

Top 12 IT Companies in Noida

[azspot]

So, I would like to propose another metaphor for the risks of artificial intelligence. I suggest that we think about A.I. as a management-consulting firm, along the lines of McKinsey & Company. Firms like McKinsey are hired for a wide variety of reasons, and A.I. systems are used for many reasons, too. But the similarities between McKinsey—a consulting firm that works with ninety per cent of the Fortune 100—and A.I. are also clear. Social-media companies use machine learning to keep users glued to their feeds. In a similar way, Purdue Pharma used McKinsey to figure out how to “turbocharge” sales of OxyContin during the opioid epidemic. Just as A.I. promises to offer managers a cheap replacement for human workers, so McKinsey and similar firms helped normalize the practice of mass layoffs as a way of increasing stock prices and executive compensation, contributing to the destruction of the middle class in America.

Will A.I. Become the New McKinsey?