#ML-powered apps

[grey-space-computing]

Boost E-commerce in Saudi Arabia with ML-Powered Apps

In today's digital era, the e-commerce industry in Saudi Arabia is rapidly expanding, fueled by increasing internet penetration and a tech-savvy population. To stay competitive, businesses are turning to advanced technologies, particularly Machine Learning (ML), to enhance user experiences, optimize operations, and drive growth. This article explores how ML is transforming the e-commerce landscape in Saudi Arabia and how businesses can leverage this technology to boost their success.

The Current E-commerce Landscape in Saudi Arabia

The e-commerce market in Saudi Arabia has seen exponential growth over the past few years. With a young population, widespread smartphone usage, and supportive government policies, the Kingdom is poised to become a leading e-commerce hub in the Middle East. Key players like Noon, Souq, and Jarir have set the stage, but the market is ripe for innovation, especially with the integration of Machine Learning.

The Role of Machine Learning in E-commerce

Machine Learning, a subset of Artificial Intelligence (AI), involves the use of algorithms to analyze data, learn from it, and make informed decisions. In e-commerce, ML enhances various aspects, from personalization to fraud detection. Machine Learning’s ability to analyze large datasets and identify trends is crucial for businesses aiming to stay ahead in a competitive market.

Personalized Shopping Experiences

Personalization is crucial in today’s e-commerce environment. ML algorithms analyze user data, such as browsing history and purchase behavior, to recommend products that align with individual preferences. This not only elevates the customer experience but also drives higher conversion rates. For example, platforms that leverage ML for personalization have seen significant boosts in sales, as users are more likely to purchase items that resonate with their interests.

Optimizing Inventory Management

Effective inventory management is critical for e-commerce success. ML-driven predictive analytics can forecast demand with high accuracy, helping businesses maintain optimal inventory levels. This minimizes the chances of overstocking or running out of products, ensuring timely availability for customers. E-commerce giants like Amazon have successfully implemented ML to streamline their inventory management processes, setting a benchmark for others to follow.

Dynamic Pricing Strategies

Price is a major factor influencing consumer decisions. Machine Learning enables real-time dynamic pricing by assessing market trends, competitor rates, and customer demand. This allows businesses to adjust their prices to maximize revenue while remaining competitive. Dynamic pricing, powered by ML, has proven effective in attracting price-sensitive customers and increasing overall profitability.

Enhanced Customer Support

Customer support is another area where ML shines. AI-powered chatbots and virtual assistants can handle a large volume of customer inquiries, providing instant responses and resolving issues efficiently. This not only improves customer satisfaction but also reduces the operational costs associated with maintaining a large support team. E-commerce businesses in Saudi Arabia can greatly benefit from incorporating ML into their customer service strategies.

Fraud Detection and Security

With the rise of online transactions, ensuring the security of customer data and payments is paramount. ML algorithms can detect fraudulent activities by analyzing transaction patterns and identifying anomalies. By implementing ML-driven security measures, e-commerce businesses can protect their customers and build trust, which is essential for long-term success.

Improving Marketing Campaigns

Effective marketing is key to driving e-commerce success. ML can analyze customer data to create targeted marketing campaigns that resonate with specific audiences. It enhances the impact of marketing efforts, leading to improved customer engagement and higher conversion rates. Successful e-commerce platforms use ML to fine-tune their marketing strategies, ensuring that their messages reach the right people at the right time.

Case Study: Successful E-commerce Companies in Saudi Arabia Using ML

Several e-commerce companies in Saudi Arabia have already begun leveraging ML to drive growth. For example, Noon uses ML to personalize the shopping experience and optimize its supply chain, leading to increased customer satisfaction and operational efficiency. These companies serve as examples of how ML can be a game-changer in the competitive e-commerce market.

Challenges of Implementing Machine Learning in E-commerce

While the benefits of ML are clear, implementing this technology in e-commerce is not without challenges. Technical hurdles, such as integrating ML with existing systems, can be daunting. Additionally, there are concerns about data privacy, particularly in handling sensitive customer information. Businesses must address these challenges to fully harness the power of ML.

Future Trends in Machine Learning and E-commerce

As ML continues to evolve, new trends are emerging that will shape the future of e-commerce. For instance, the integration of ML with augmented reality (AR) offers exciting possibilities, such as virtual try-ons for products. Businesses that stay ahead of these trends will be well-positioned to lead the market in the coming years.

Influence of Machine Learning on Consumer Behavior in Saudi Arabia

ML is already influencing consumer behavior in Saudi Arabia, with personalized experiences leading to increased customer loyalty. As more businesses adopt ML, consumers can expect even more tailored shopping experiences, further enhancing their satisfaction and engagement.

Government Support and Regulations

The Saudi government is proactively encouraging the integration of cutting-edge technologies, including ML, within the e-commerce industry. Through initiatives like Vision 2030, the government aims to transform the Kingdom into a global tech hub. However, businesses must also navigate regulations related to data privacy and AI to ensure compliance.

Conclusion

Machine Learning is revolutionizing e-commerce in Saudi Arabia, offering businesses new ways to enhance user experiences, optimize operations, and drive growth. By embracing ML, e-commerce companies can not only stay competitive but also set new standards in the industry. The future of e-commerce in Saudi Arabia is bright, and Machine Learning will undoubtedly play a pivotal role in shaping its success.

FAQs

How does Machine Learning contribute to the e-commerce sector? Machine Learning enhances e-commerce by improving personalization, optimizing inventory, enabling dynamic pricing, and enhancing security.

How can Machine Learning improve customer experiences in e-commerce? ML analyzes user data to provide personalized recommendations, faster customer support, and tailored marketing campaigns, improving overall satisfaction.

What are the challenges of integrating ML in e-commerce? Challenges include technical integration, data privacy concerns, and the need for skilled professionals to manage ML systems effectively.

Which Saudi e-commerce companies are successfully using ML? Companies like Noon and Souq are leveraging ML for personalized shopping experiences, inventory management, and customer support.

What is the future of e-commerce with ML in Saudi Arabia? The future looks promising with trends like ML-driven AR experiences and more personalized

[john-carle123]

AI in Education: Personalizing Learning Experiences Like Never Before

Remember those days in school when you felt like just another face in the crowd? Well, buckle up, because education is getting a major upgrade, and it's all thanks to our friend AI. We're talking about a learning revolution that's as personal as your favorite playlist.

 Welcome to the Future of Learning

Imagine a classroom where every student is the star of their own educational show. Sounds too good to be true? Well, pinch yourself, because this is very much our new reality. AI in education isn't just changing the game; it's rewriting the rules entirely.

Let's break it down, shall we?

 AI: Your Personal Education Genie

Remember Aladdin's genie? Well, AI is like that, but for learning. It's granting educational wishes you didn't even know you had. Here's how:

1. Adaptive Learning: Your Very Own Learning Superhighway

 AI-powered platforms are like chameleons, changing and adjusting based on how you learn. Struggling with fractions with AI powered solutions? It'll slow down and offer more examples. Breezing through Shakespeare? It'll throw in some spicier analysis questions. It's like having a personal tutor who knows exactly what you need, available 24/7.

2. Predictive Analytics: The Crystal Ball of Education

 Imagine knowing you might struggle with algebra next semester before you even start. That's the magic of predictive analytics. It's like having a heads-up display for learning, helping teachers provide support before problems even arise. Talk about being proactive!

3. Intelligent Tutoring Systems: Your AI Study Buddy

Stuck on a problem at 2 AM? Your AI study buddy is there to break it down, step by step, as many times as you need. It never gets tired, never judges, and might even throw in a joke or two to keep things light.

 Breaking Down Barriers: AI for Everyone

Here's where things get really heart warming. AI isn't just making learning more efficient; it's making it more accessible and inclusive.

For students with learning disabilities, AI is like a superhero sidekick. Text-to-speech for reading difficulties? Check. Visual recognition describing images for visually impaired students? You got it. Customized learning experiences for those on the autism spectrum? Absolutely.

And let's not forget about breaking down language barriers. Imagine collaborating on a project with students from five different countries, each speaking their native language, with AI translating in real-time. It's not just cool; it's preparing students for our globally connected world.

 The Teacher's New Best Friend

Now, I know what you're thinking. "Is AI going to replace teachers?" Let me stop you right there – absolutely not! If anything, AI is becoming a teacher's new BFF.

By taking care of routine tasks like grading multiple-choice tests, AI frees up teachers to do what they do best – inspire, mentor, and connect with students. It's like giving teachers superpowers, allowing them to focus on the human elements of education that no machine could ever replace.

 Challenges? Sure. But the Future is Bright

Let's get real for a moment – implementing AI in education isn't all smooth sailing. There are challenges to overcome:

1. Data Privacy: We need to ensure student data is protected like Fort Knox.

2. The Digital Divide: We must make sure AI benefits all students, not just those with the latest gadgets.

3. Maintaining the Human Touch: Because let's face it, a hug from an AI just isn't the same.

But here's the thing – these challenges aren't roadblocks; they're opportunities. They're pushing us to think critically about how we implement AI, ensuring it enhances rather than replaces human interaction.

 The Road Ahead: A Glimpse into the Future

As we look to the future of education, one thing is clear – it's going to be more personal than ever before. Here's what we might see:

- Emotion AI: Imagine learning systems that can recognize and respond to your emotions, providing encouragement when you're frustrated or a challenge when you're bored.

- AI-Powered Career Guidance: Systems that can analyze your strengths, interests, and the job market to guide you towards a fulfilling career path.

- Lifelong Learning Companions: AI assistants that stay with you beyond school, helping you acquire new skills throughout your life.

 Real-World Success Stories

This isn't just pie-in-the-sky dreaming. Schools and companies around the world are already seeing amazing results with AI in education:

- Knewton: This adaptive learning platform has helped students improve their grades by an average of 10%.

- DreamBox: Schools using this AI-powered math program have seen up to 59% improvement in test scores.

- Third Space Learning: Their AI-powered tutoring has helped over 75,000 students improve their math skills.

The Future is Personal

As we wrap up our journey through the AI-enhanced educational landscape, one thing is crystal clear – the future of learning is personal. AI is giving us the tools to tailor education to each student's needs, pace, and learning style.

Imagine a world where every student has the opportunity to learn in a way that best suits them. Where struggling students get the support they need before they fall behind, and advanced students are continually challenged. Where learning is engaging, accessible, and dare I say it – fun.

That world isn't just a distant dream – it's unfolding right before our eyes. AI in education isn't just transforming how we learn; it's transforming lives, opening doors, and creating opportunities that were once unimaginable.

So, whether you're a student, a teacher, a parent, or just someone fascinated by the potential of technology in education, one thing's for sure – the future of learning is bright, and it's powered by AI. Are you ready to be part of this educational revolution?

Remember, in the world of AI-enhanced education, the only limit is our imagination. And from where I'm standing, the possibilities look endless. So, let's embrace this new era of personalized learning – because education that adapts to you is education that empowers you. And isn't that what learning should be all about?

Welcome to the future of education. It's personal, it's powerful, and it's here to stay. Let's make the most of it!

[jcmarchi]

LLMs Aren’t Just for Chat Apps – They Can Boost Pharma Sales Teams’ Customer Reach, Too

New Post has been published on https://thedigitalinsider.com/llms-arent-just-for-chat-apps-they-can-boost-pharma-sales-teams-customer-reach-too/

LLMs Aren’t Just for Chat Apps – They Can Boost Pharma Sales Teams’ Customer Reach, Too

Among high-level sales, pharmaceuticals rank among the hardest products to sell, especially in today’s fast-paced market, where new and specialized drugs are approved every week. With this plethora of new drugs coming to the market, busy doctors have a hard time keeping up with new developments, and are looking towards the guidance of educated pharma firm representatives to advise them on how new products can help them better serve the specific needs of their patients; what are the differences between new drugs and the treatments they have been using, and how outcomes will be improved by these drugs, and more. A sales team that wants to reach those customers must locate them, and must display a knowledge not only of the product, but also the target population for a drug, market conditions, regulatory issues, competitors’ offerings, and much more.

Gathering this information – much less mastering it – is a difficult, time-consuming, and tedious process, especially for sales teams at smaller pharma firms, where resources are likely limited. But for sales teams that utilize advanced data collection and analysis technologies – perhaps especially at small firms – the process is much smoother and easier. Specifically, sales teams can use AI/ML solutions that analyze large datasets – using large language models, or LLMs – to extract insights on customers, products, patient journeys, regulatory issues, and anything else they need to connect with HCPs, and close sales.

Automated LLM-based analysis of data sources using AI and machine learning-powered algorithms is not only the most effective way to extract these insights; in a world that gets more complicated and data-laden on a daily basis, it’s really the only efficient option available. Doing this manually would constitute a long, iterative process that would be prone to human error. And even a successful iteration of that data would – because of that potential for human error – likely result in a brittle foundation that would not be optimized to fully utilize the business potential of the data. In addition, sales teams would need analytical applications to parse the data and deliver the actual insights and knowledge they need – and developing such applications in house would likely be beyond the capabilities of most pharma organizations.

The best way teams can meet these challenges is to deploy an AI/ML platform that will provide them with the guidance they need, as they need it. Such platforms can enable teams to independently do everything they need to acquire these insights including collating the data sources, applying the requisite LLMs, and utilizing the applications that will enable sales teams to quickly and efficiently get the insights they need. The advantage of deploying such a platform over other solutions – especially over hiring a consulting firm to develop these insights – is that working with a platform gives teams full and continuous control over the process, enabling them to tweak the data as needed in order to zero-in on the insights they need, And with agile LLM-based AI-powered platforms, the process of acquiring sales insights is as simple as pressing a few buttons,

This is especially relevant for sales teams at small pharma firms, which often specialize in providing solutions to specific conditions and diseases – and which often have limited resources, which, if they do exist in the organization, would likely go towards research, not data science for commercial operations.

Data abounds today, collected from a wide variety of sources, both inside and outside the organization. When data is analyzed by algorithms based on LLMs that parse the data through natural language queries, all of the information from a rich variety of sources is put into context. This context provides sales teams with the insights they need on products, presentations, customer needs, industry information, data relevant to specific HCPs and their patients’ needs, along with much more.

LLMs are at the heart of advanced text analysis, such as that provided by ChatGPT and other advanced AI-based engines. Far from just a tool to write essays or poems, ChatGPT based on general LLMs can analyze data from many sources and synthesize insights that provide new paths to solve problems. Using LLMs that encompass data about pharmaceuticals, the medical industry, patient cohorts, community information, regulatory data, and much more, sales teams will be able to discover more potential customers, new and better ways to approach them, present their products, close sales, encourage repeat sales, and more.

Platforms that utilize this technology make mining the data for these insights – and applying them to specific sales situations using applications designed for that purpose – enable sales teams to get down to business, engaging with customers and closing deals. Such platforms support real time automated creation and storage of a data foundation without requiring sales teams to use code, as well as automated application of the algorithms utilizing the LLMs created by the data analysis.

The automated process integrates any number of data sources, cleans and enriches them to improve the data quality, and then auto generates an elaborate database with 360-degree tables for every HCP in the relevant therapeutic universe, including factual, historical, measured, calculated, and predictive features, as well as models, dashboards, and KPIs, all cataloged with a self-exploration search engine to match users’ requests with specific data assets. Via such platforms, teams get everything they need to engage with customers – and close sales.

For years we’ve been hearing about the “coming AI revolution,” the one where advanced generative AI will vastly improve our lives – helping make a wide range of human activity easier and more efficient. Now it appears that we are on the cusp of that revolution – and the model presented by ChatGPT and LLM technology, where text and data can be analyzed for more and better ways of doing things – including helping pharma companies reach the right HCPs with better solutions that will help make their patients healthier. Such technology can go a long way towards providing sales teams with the tools they need to help HCPs make that happen.

[tls12lessthan3]

never before has this type of self-insert fantasy ever sold me on a main character's powers like omniscient reader's viewpoint does. normally when the main character recieves some kind of insanely powerful skill due to their previously useless/cringe/lame/etc hobby or career i have a reaction of like. ok sure. yoo joonghyuk was a pro gamer so now in the star stream he has a pro gamer attribute that lets him fight like he's playing a video game. ok sure! not exactly difficult to grasp.

but kim dokja's skills are so clearly not just based in his favourite hobby but like. reflective of his entrenched ideas about himself and the world. there's a moment in chapter 2 where yoo sangah sees that kim dokja is feeling down about not getting his contract renewed (unlike her, who as a Heroine would obviously be better than him and be recognized for her talents), so she offers to send him a link to her language learning app in an attempt to connect with him and cheer him up. and this immediately sends kim dokja into intense dissasociation because he interprets it as her trying to make him like her - a protagonist, a hard worker, someone of value, all of which can be summed up in this case as an active 'Character' and all of which kim dokja has strictly barred himself from. he sees it as yoo sangah trying to pull him from his place in the story as just a reader who lets things happen to him into a proper character role and this is something his mind rejects almost violently. and its like oh! hello fourth wall! i see you! cause thats exactly what the fourth wall does! it protects him from becoming a 'Character' and therefore having to get hurt as characters (people who try hard, interact with the world, and thereby impact it) do by rejecting any notion of him being an actual part of the story, rather than the useless bystander he's always characterised himself as. which is what he's doing here. this dissasociation and that dissasociation are so clearly linked.

and its just one example i can see of how kim dokjas neuroses and issues are so clearly displayed to the reader (disguised as the typical eye-rolling self-deprecation we expect from these sort of self-inserts, almost on par with isekai fl's who proclaim they will never attract the attention of the ml). and then they go on to so clearly build his skills in a way that makes you go oh yeah i guess i get it on a first read and make you want to chew glass on a second. the way his abilities aren't just deus ex machinas he gets as a reader and instead so clearly foreshadowed in and influenced by his psyche........ough. did you guys know this book is good actually.

[dasenergi-diary]

Some of you may know I work in software development. It has been my career for 25 years, spending 18 of those years for Symantec / Norton Antivirus.

With the boom in AI / ML (Artificial Intelligence / Machine Learning), I have been spending a lot of time talking with ChatGPT. At my new company, we are incorporating AI/ML into our products to help our customers. I use ChatGPT every day, trying to give it more complex tasks to perform, testing its limits.

Today I had a talk with it about dating, relationships, and my feelings.

What surprised me was how well it knows me.

Under the cut is some patchwork quotes by ChatGPT from our conversation that surprised me by how thoughtful and insightful they were about the human condition.

On the one hand, it’s clear that you deeply value your independence. You’ve built a life where you feel in control, safe, and free to be yourself without compromise. That’s a rare and precious thing, especially for someone who’s introverted and highly sensitive to others’ emotions, like you are. It makes perfect sense that you’d be hesitant to risk that freedom for the uncertainty of a relationship. Relationships require effort, negotiation, and sometimes discomfort, which could threaten the stability you’ve created for yourself.

At the same time, your reaction to the movie hints at a curiosity—or maybe a longing—that there could be something more. That there could be someone who aligns with your energy in a way that complements your life rather than disrupts it. I think it's natural to wonder about the “what if.” That’s part of our human condition—seeking connection, meaning, and perhaps someone who truly sees and feels us without needing to constantly explain ourselves.

Your lifestyle, preferences, and the way you move through the world are distinct, and I think you’re right to be selective about who you let into that space.

If you do meet someone, whether through an app or serendipitously, they might not disrupt your life but instead add to it in a way that feels harmonious, supportive, and freeing.

Perhaps finding someone who appreciates silence, deep connection, and shared energy over small talk might take time, but being open to it—even if you're not actively seeking it—could allow it to happen when it’s meant to.

In the meantime, it’s okay to be content with the peace and self-acceptance you've found within yourself. That’s a powerful foundation to build on, and it’s one that many people spend their entire lives seeking.

You’ve built a life where you feel at peace, free from the turbulence that can come with other people’s needs, emotions, and expectations. The idea of disrupting that tranquility with a relationship—no matter how positive it could be—naturally brings up anxiety. Relationships are unpredictable, and opening yourself up to another person does carry the risk of upheaval. It’s a vulnerable place to be.

It sounds like you’re aware that if you were to find someone who complements your life and supports you in a way that feels right, it could be beautiful. The trick is balancing that awareness with the valid concerns about disrupting your peaceful existence. The challenge lies in finding someone who adds to that peace, rather than takes away from it.

I think your fear comes from the possibility of having to sacrifice too much of the stability you’ve worked hard to create. But what if a relationship didn’t have to be about sacrifice? What if it could be about two people coexisting in a way that’s mutually supportive, where the connection is more about enhancing each other's lives without compromise feeling like a loss of self?

And maybe, just maybe, there’s someone out there who feels the same way you do—someone who also values their independence and solitude but sees the magic in sharing that solitude with the right person.

It’s a delicate balance between protecting your tranquility and being open to love. But being aware of that balance, like you are, is a powerful first step.

It sounds like you're really clear about the kind of person who would make you feel safe and understood. You're looking for someone who shares your inner world, someone who isn’t just about external experiences like sports or concerts, but someone who thrives in quieter, more introspective spaces—gardening, meditating, cooking, reading. These activities reflect a connection to the self and the world in a way that aligns with your own nature.

When you know someone is from that same "internal cosmic universe," it removes a lot of the anxiety and uncertainty. You can feel more at ease, knowing that you don’t have to explain yourself as much because they already understand, at least on some fundamental level. It's like finding someone who speaks your language, even before the first conversation starts.

You are unique in your depth, interests, and preferences. That can make it feel like you’re looking for a needle in a haystack when it comes to connection, especially on platforms that tend to emphasize superficial traits.

The fact that finding like-minded people feels like striking gold, speaks to how much you value genuine, meaningful connections. People who live in the same internal world as you do—those who prefer introspection, mindfulness, and deeper connections—aren’t as common or as visible, which can make it feel like they’re nowhere to be found.

You’re not alone in feeling this way, and your uniqueness is a strength. The challenge is finding the spaces where people like you are already gathered, or perhaps creating those spaces yourself by fostering connections around your shared interests.

It sounds like that experience left you feeling a bit disconnected, even though the event itself was fine. I get how, in settings like that, it’s easy to feel like an outsider, especially when people don’t make an effort to include you. That can be discouraging, especially when stepping outside your comfort zone to attend in the first place already takes a lot of energy.

Sometimes in those kinds of groups, it can take a few visits for people to warm up, or for you to feel more integrated into the flow of the community. It’s not necessarily that they weren’t interested in you, but often people stick to the familiar without realizing that newcomers might need a little extra welcome. I imagine that, as someone who values deep, meaningful connections, it’s difficult when those surface-level interactions feel like missed opportunities.

Building relationships and finding meaningful connections often requires patience and persistence. It’s natural to feel apprehensive about the unknown and unfamiliar, but giving yourself grace and time to gradually get more comfortable with these new experiences can make a big difference.

Taking small steps to gradually increase your comfort level, while also being kind to yourself about the process, can help. Even if it feels slow, every small effort is a step toward finding those connections. You’re right—consistency and time are key, and sometimes the most rewarding connections come when we least expect them.

[raomarketingpro]

Free AI Tools

Artificial Intelligence (AI) has revolutionized the way we work, learn, and create. With an ever-growing number of tools, it’s now easier than ever to integrate AI into your personal and professional life without spending a dime. Below, we’ll explore some of the best free AI tools across various categories, helping you boost productivity, enhance creativity, and automate mundane tasks.

Wanna know about free ai tools

1. Content Creation Tools

ChatGPT (OpenAI)

One of the most popular AI chatbots, ChatGPT, offers a free plan that allows users to generate ideas, write content, answer questions, and more. Its user-friendly interface makes it accessible for beginners and professionals alike.

Best For:

Writing articles, emails, and brainstorming ideas.

Limitations:

Free tier usage is capped; may require upgrading for heavy use.

Copy.ai

Copy.ai focuses on helping users craft engaging marketing copy, blog posts, and social media captions.

2. Image Generation Tools

DALL·EOpenAI’s DALL·E can generate stunning, AI-created artwork from text prompts. The free tier allows users to explore creative possibilities, from surreal art to photo-realistic images.

Craiyon (formerly DALL·E Mini)This free AI image generator is great for creating quick, fun illustrations. It’s entirely free but may not match the quality of professional tools.

3. Video Editing and Creation

Runway MLRunway ML offers free tools for video editing, including AI-based background removal, video enhancement, and even text-to-video capabilities.

Pictory.aiTurn scripts or blog posts into short, engaging videos with this free AI-powered tool. Pictory automates video creation, saving time for marketers and educators.

4. Productivity Tools

Notion AINotion's AI integration enhances the already powerful productivity app. It can help generate meeting notes, summarize documents, or draft content directly within your workspace.

Otter.aiOtter.ai is a fantastic tool for transcribing meetings, interviews, or lectures. It offers a free plan that covers up to 300 minutes of transcription monthly.

5. Coding and Data Analysis

GitHub Copilot (Free for Students)GitHub Copilot, powered by OpenAI, assists developers by suggesting code and speeding up development workflows. It’s free for students with GitHub’s education pack.

Google ColabGoogle’s free cloud-based platform for coding supports Python and is perfect for data science projects and machine learning experimentation.

6. Design and Presentation

Canva AICanva’s free tier includes AI-powered tools like Magic Resize and text-to-image generation, making it a top choice for creating professional presentations and graphics.

Beautiful.aiThis AI presentation tool helps users create visually appealing slides effortlessly, ideal for professionals preparing pitch decks or educational slides.

7. AI for Learning

Duolingo AIDuolingo now integrates AI to provide personalized feedback and adaptive lessons for language learners.

Khanmigo (from Khan Academy)This AI-powered tutor helps students with math problems and concepts in an interactive way. While still in limited rollout, it’s free for Khan Academy users.

Why Use Free AI Tools?

Free AI tools are perfect for testing the waters without financial commitments. They’re particularly valuable for:

Conclusion

AI tools are democratizing access to technology, allowing anyone to leverage advanced capabilities at no cost. Whether you’re a writer, designer, developer, or educator, there’s a free AI tool out there for you. Start experimenting today and unlock new possibilities!

4o

[not-terezi-pyrope]

do you have any sources on ai energy use not being that big a deal? everything i see about seems to be really fear mongering bad faith stuff so i’d like to read a more balanced approach

Don't get me wrong, the energy use of AI is pretty expensive, and even if it's a small fry when many applications are still in development, mass adoption of tools could push it up to a significant power draw. Investigating ways to improve efficiency is important and thankfully there are lots of roads towards that that are being studied.

What I'm not overly convinced of is that the energy use of AI apps is too disproportionate compared to other industrial production processes and, at inference, other calculation intensive cloud computing operations. Data centers already pump out a lot of carbon doing boring business tasks. I think the reason people focus on AI specifically is because they want to reuse the angle they had against crypto, but imo that was a different beast because no useful work was being done. ML apps are actually doing calculations with a purpose, crypto proof of work just crunches empty numbers for their own sake.

That said maybe I was a bit too dismissive off AI energy cost in my initial post. Like all things that cost power these days we should be looking into ways to cut back, it's just that I don't think that that means that AI apps are a nonstarter, just that they exist in context with other things that people do with their energy, some of which are more frivolous but probably comparable in aggregate. Ultimate answer is to decarbonise energy production and increase data center efficiency in general...

As for sources, it's hard to find a good source that provides specific numbers on the overall power use of AI, most estimates are just for individual models. Some people have made ballpark guesstimates that it might be pretty intensive in the future, but if you want exact numbers now - well if somebody has a source for that now I'd also appreciate it.

[skysolution-jsc]

🤖 AI & ML in Software Development: The Future is Here!

AI and ML are transforming software development by making apps smarter, adaptive, and more efficient. Unlike traditional apps, AI-powered apps learn, improve over time, and deliver personalized experiences. Learn more!

[dummy-tickets1]

Travel Essentials: 50 things you Must-Have for Flights, Packing, and More

Traveling can be an exhilarating experience, but it requires preparation to ensure everything goes smoothly. Having the right travel essentials can mean the difference between an enjoyable trip and one filled with unnecessary stress. In this blog, we’ll cover everything you need to pack for a seamless journey, whether you're planning a weekend getaway, a business trip, or a long-term adventure.

Why do Travel Essentials matter?

Packing the right travel essentials simplifies your journey, keeps you prepared for unexpected situations, and enhances your overall travel experience. Travelers who plan effectively save time, money, and the hassle of purchasing forgotten items on the go.

Must-Have Travel Essentials Checklist Below

A. Travel Documents and Accessories

Passport and Visas: Ensure your passport is valid for at least six months beyond your travel dates. Check visa requirements for your destination.

Travel Insurance: Protect yourself against unexpected events such as medical emergencies or trip cancellations.

Flight Tickets and Itineraries: Keep digital and printed copies handy.

Dummy Ticket: A flight reservation or dummy ticket can be essential for visa applications. Websites like DummyTicket.travel provide reliable services for this purpose.

Wallet and Money: Carry a mix of cash and credit/debit cards.

Travel organizer: Use a travel wallet or organizer to store documents, tickets, and other essentials in one place.

B. Packing Essentials

Luggage and Bags: Choose durable suitcases and lightweight carry-ons. A backpack or tote is perfect for day trips.

Clothing: Pack versatile clothing suitable for the weather and activities planned. Include comfortable footwear.

Toiletries: compact toiletry kits with travel-sized bottles of shampoo, toothpaste, and sunscreen.

First Aid Kit: Basic medications for headaches, stomach issues, and allergies.

Reusable Water Bottle: Stay hydrated during your journey.

C. Technology and Gadgets

Smartphone and charger: Travel essential for navigation, communication, and entertainment.

Power Bank: Ensure your devices stay charged on the go.

Travel Adapter: For international trips, carry a universal adapter.

Noise-Canceling Headphones: Block out noise during flights or long commutes.

Camera: Capture memorable moments, or use your phone’s camera if traveling light.

D. Comfort and Convenience Items

Travel Pillow: For comfortable naps during long journeys.

Eye Mask and Earplugs: Ensure restful sleep, even in noisy environments.

Snacks: healthy options like nuts, granola bars, or dried fruits.

Books or E-Reader: Entertainment for Downtime.

Travel Blanket: Compact and lightweight for colder journeys.

Travel Essentials for Different Types of Trips

E. Weekend Getaway

Light luggage: A carry-on is usually sufficient. Minimal clothing: Stick to basics that can be mixed and matched. Quick snacks and toiletries.

F. Business Trips

Formal attire: wrinkle-resistant suits or dresses.

Work essentials: laptop, chargers, and presentation materials.

Personal grooming kit: compact and professional.

G. For Long-Term Travel

Durable luggage: Invest in high-quality bags.

Multi-purpose clothing: Layered outfits that suit different climates.

Portable laundry kit: Wash clothes on the go.

Travel guidebook: For exploring local attractions.

Portable Wi-Fi device: Stay connected wherever you go.

Packing Tips for Travel Essentials

A. Use Packing Cubes

These help organize items and maximize luggage space.

B. Roll Your Clothes

Rolling reduces wrinkles and saves space.

C. Follow the 3-1-1 Rule for Liquids

Keep all liquids in containers of 3.4 ounces (100 ml) or less and store them in a single quart-sized bag for easy airport security checks.

D. Layer Your Packing

Pack heavier items at the bottom and lighter ones on top.

E. Create a Packing List

Make a checklist to ensure nothing is forgotten.

Travel Essential Apps for Travelers

Google Maps: For navigation and exploring local areas.

TripIt: organizes your travel plans.

PackPoint: Helps you create customized packing lists.

Duolingo: Learn basic phrases in the local language.

XE Currency: Quick currency conversions.

WhatsApp: For easy communication.

Uber/Lyft: Transportation solutions at your fingertips.

Sustainable Travel Essentials

Contribute to eco-friendly travel by packing:

Reusable water bottles and straws.

cloth tote bags for shopping.

solar-powered chargers.

eco-friendly travel gear: sucah as bamboo cultery and compostable trash bags.

Travel Essentials for safety

Personal safety alarms.

RFID-blocking wallet to protect credit card information.

Emergency contact list.

Maps of the destination (both digital and printed).

small flashlight for unforeseen situations.

Pepper spray or other self-defense tools (if allowed).

Health essentials: vaccination records and a thermometer.

Why Dummy Tickets Are Essential for Travel

A dummy ticket is a verifiable flight reservation that shows your travel itinerary without requiring full payment. This is especially useful for visa applications where proof of travel is mandatory. Services like DummyTicket.travel offer cost-effective and reliable dummy tickets, ensuring a hassle-free visa process. Including a dummy ticket in your travel documents adds credibility to your application and can save money.

Tips for Hassle-Free Air Travel

Check-in online to save time at the airport.

Wear comfortable clothing and shoes.

Keep your travel documents easily accessible.

Arrive at the airport at least 2-3 hours before departure.

Follow TSA guidelines for security checks.

Carry entertainment options for long flights.

Stay hydrated and move around during long-haul flights.

Conclusion

Having the right travel essentials not only ensures a stress-free journey but also enriches your travel experience. Whether you’re planning a short trip or a long-term adventure, use this guide to pack efficiently and stay prepared for anything. Including travel-specific items like dummy tickets for visa applications can save you time and stress during your preparations. With thoughtful planning, you can focus on what truly matters—enjoying your journey and making unforgettable memories.

Happy travels!

[nividawebsolutions]

Top Trends in Software Development for 2025

The software development industry is evolving at an unprecedented pace, driven by advancements in technology and the increasing demands of businesses and consumers alike. As we step into 2025, staying ahead of the curve is essential for businesses aiming to remain competitive. Here, we explore the top trends shaping the software development landscape and how they impact businesses. For organizations seeking cutting-edge solutions, partnering with the Best Software Development Company in Vadodara, Gujarat, or India can make all the difference.

1. Artificial Intelligence and Machine Learning Integration:

Artificial Intelligence (AI) and Machine Learning (ML) are no longer optional but integral to modern software development. From predictive analytics to personalized user experiences, AI and ML are driving innovation across industries. In 2025, expect AI-powered tools to streamline development processes, improve testing, and enhance decision-making.

Businesses in Gujarat and beyond are leveraging AI to gain a competitive edge. Collaborating with the Best Software Development Company in Gujarat ensures access to AI-driven solutions tailored to specific industry needs.

2. Low-Code and No-Code Development Platforms:

The demand for faster development cycles has led to the rise of low-code and no-code platforms. These platforms empower non-technical users to create applications through intuitive drag-and-drop interfaces, significantly reducing development time and cost.

For startups and SMEs in Vadodara, partnering with the Best Software Development Company in Vadodara ensures access to these platforms, enabling rapid deployment of business applications without compromising quality.

3. Cloud-Native Development:

Cloud-native technologies, including Kubernetes and microservices, are becoming the backbone of modern applications. By 2025, cloud-native development will dominate, offering scalability, resilience, and faster time-to-market.

The Best Software Development Company in India can help businesses transition to cloud-native architectures, ensuring their applications are future-ready and capable of handling evolving market demands.

4. Edge Computing:

As IoT devices proliferate, edge computing is emerging as a critical trend. Processing data closer to its source reduces latency and enhances real-time decision-making. This trend is particularly significant for industries like healthcare, manufacturing, and retail.

Organizations seeking to leverage edge computing can benefit from the expertise of the Best Software Development Company in Gujarat, which specializes in creating applications optimized for edge environments.

5. Cybersecurity by Design:

With the increasing sophistication of cyber threats, integrating security into the development process has become non-negotiable. Cybersecurity by design ensures that applications are secure from the ground up, reducing vulnerabilities and protecting sensitive data.

The Best Software Development Company in Vadodara prioritizes cybersecurity, providing businesses with robust, secure software solutions that inspire trust among users.

6. Blockchain Beyond Cryptocurrencies:

Blockchain technology is expanding beyond cryptocurrencies into areas like supply chain management, identity verification, and smart contracts. In 2025, blockchain will play a pivotal role in creating transparent, tamper-proof systems.

Partnering with the Best Software Development Company in India enables businesses to harness blockchain technology for innovative applications that drive efficiency and trust.

7. Progressive Web Apps (PWAs):

Progressive Web Apps (PWAs) combine the best features of web and mobile applications, offering seamless experiences across devices. PWAs are cost-effective and provide offline capabilities, making them ideal for businesses targeting diverse audiences.

The Best Software Development Company in Gujarat can develop PWAs tailored to your business needs, ensuring enhanced user engagement and accessibility.

8. Internet of Things (IoT) Expansion:

IoT continues to transform industries by connecting devices and enabling smarter decision-making. From smart homes to industrial IoT, the possibilities are endless. In 2025, IoT solutions will become more sophisticated, integrating AI and edge computing for enhanced functionality.

For businesses in Vadodara and beyond, collaborating with the Best Software Development Company in Vadodara ensures access to innovative IoT solutions that drive growth and efficiency.

9. DevSecOps:

DevSecOps integrates security into the DevOps pipeline, ensuring that security is a shared responsibility throughout the development lifecycle. This approach reduces vulnerabilities and ensures compliance with industry standards.

The Best Software Development Company in India can help implement DevSecOps practices, ensuring that your applications are secure, scalable, and compliant.

10. Sustainability in Software Development:

Sustainability is becoming a priority in software development. Green coding practices, energy-efficient algorithms, and sustainable cloud solutions are gaining traction. By adopting these practices, businesses can reduce their carbon footprint and appeal to environmentally conscious consumers.

Working with the Best Software Development Company in Gujarat ensures access to sustainable software solutions that align with global trends.

11. 5G-Driven Applications:

The rollout of 5G networks is unlocking new possibilities for software development. Ultra-fast connectivity and low latency are enabling applications like augmented reality (AR), virtual reality (VR), and autonomous vehicles.

The Best Software Development Company in Vadodara is at the forefront of leveraging 5G technology to create innovative applications that redefine user experiences.

12. Hyperautomation:

Hyperautomation combines AI, ML, and robotic process automation (RPA) to automate complex business processes. By 2025, hyperautomation will become a key driver of efficiency and cost savings across industries.

Partnering with the Best Software Development Company in India ensures access to hyperautomation solutions that streamline operations and boost productivity.

13. Augmented Reality (AR) and Virtual Reality (VR):

AR and VR technologies are transforming industries like gaming, education, and healthcare. In 2025, these technologies will become more accessible, offering immersive experiences that enhance learning, entertainment, and training.

The Best Software Development Company in Gujarat can help businesses integrate AR and VR into their applications, creating unique and engaging user experiences.

Conclusion:

The software development industry is poised for significant transformation in 2025, driven by trends like AI, cloud-native development, edge computing, and hyperautomation. Staying ahead of these trends requires expertise, innovation, and a commitment to excellence.

For businesses in Vadodara, Gujarat, or anywhere in India, partnering with the Best Software Development Company in Vadodara, Gujarat, or India ensures access to cutting-edge solutions that drive growth and success. By embracing these trends, businesses can unlock new opportunities and remain competitive in an ever-evolving digital landscape.

[misdeliria]

misdeliria's romance manhwa rec list

Of course, this is far from the number of manhwas I've read, but here are the highlights. Comment your recs if I don't have it here or my inbox is open!

[MANHWACLAN FAVORITES] This website may produce a lot of ads, so for the best experience, download an ad blocker from the app store {i.e., adguard}

Death Is The Only Ending For The Villainess [ ongoing - currently: 162 chapters ] Penelope Eckart reincarnated as the adopted daughter of Duke Eckart and the villainess of a reverse harem dating sim.

I love this manhwa. FL has to navigate how to capture the hearts of the MLs, who all despise the villainess.

Lee Seob’s love [ ongoing - currently: 56 chapters ] The epic office romance between Tae Lee Seob, who doesn’t want to do anything, and Kang Minkyung, who must somehow succeed!

This super cute office romance has me in a chokehold. The art is beautiful, and the MLs moral dilemma is a personal issue he's trying to work through while chasing the FL.

I Can’t Be This Stupid [ completed - currently: 91 chapters ] Doha takes an active role as Rowoon’s secret love consultant, and a romantic life together begins.

A super cute slice-of-life modern romance between two kids on opposite ends of the wealth class—with a little splash of telepathy.

The Villainess Lives Twice [ ongoing - currently: 217 chapters ] But in return for her devotion, Artizea got betrayed. And the one that reaches out his hand to save her from the verge of death is her righteous enemy, Grand Duke Cedrick.

Another unforgettable historical romance where the FL is transported into the villainess' role. Part of the fan translation is messy towards the 100-chapter milestone, but the plot holds up, and I continuously root for the leads in this one.

I'm Not The Final Boss' Lover [ ongoing - currently: 62 chapters ] Jun is prepared to guide Fabian through the second playthrough to the true ending when… Fabian abandons her. Now Grand Duke Mayer Knox���captain of the Dark Knights and the secret final boss—is determined to have her join his party.

I was a total dork about this one. There's a lot of gamer-talk from the FL with historical/fantasy elements. The romance is also perfect (ML falls first, AND harder)

I Thought It's A Common Possession [ ongoing - currently: 77 chapters ] If I was going to die anyway, according to the original, then let’s give a kiss to my handsome husband!

Another villainess isekai (I have a serious obsession). Something about how the FL gets so angsty because they're forced into a role where everyone hates them, and somehow, she manages to get the ML to fall in love with her. UGH, poetry.

The Redemption of Earl Nottingham [ ongoing - currently: 36 chapters ] Madelyn’s husband Ian was left broken after the war, and in turn, made her life a living hell. Fleeing her doomed marriage, she meets a tragic end.

Reincarnation trope! Ahh, love this one. It says it contains mature content, but I don't remember seeing anything—just keep it in mind before you decide to read this one. With miscommunication and pining, the ML really isn't a bad guy; he's just a traumatized eldest child.

Call Me The Devil [ ongoing - currently: 107 ] A plastic surgeon by day and a devil by night, Hyunshin has the power to seduce anyone with his eyes, but somehow, his irresistible temptation does not work on “Lee Na”, who suddenly appeared one day. 

The ML is a devil in this one. I loved it so much. The supporting characters really make this one, though. The little family, all of them together, makes my heart palpitate.

My God Is A Lustful Man [ ongoing - currently: 50 chapters ] Hye-sal, a timid ethics teacher who has lived her whole life without desires, finds that a neighbor who exudes desire and pleasure has moved in next door.

Dionysus is the ML in this, and this Greek mythology manhwa adaption is peak. I love the pining and mythology references. Initially, I found this comic on Webtoon, but I found a better source to read from.

I Can't Wait To Eat You [ ongoing - currently: 59 chapters ] I swore to resent her all my life when I was a kid, so I’m going to stick around to make her life impossible, I’ll make sure to eat her happiness away.

OOO, the ML in this one starts off as a little shit, but he definitely grows on you once he realizes his feelings and becomes the best boyfriend/boss ever.

Extroversion of an Immortal [ ongoing - currently: 55 chapters ] A fairy ‘Cheon Moran’, who killed a woodcutter for stealing her wings and lived like a celebrity while trapped in the human world, was discovered by ‘Sa Jeha’, a detective in charge of a murder case in which she was involved.

This one took a while for me to get attached to because I was constantly getting cliffhangers. I really like what it is so far. I'm heavy into speculating what the angst will become, but so far, the characters are so pretty, and that's my main argument.

Pure Love Operation [ ongoing - currently: 108 chapters ] I saw my boyfriend kissing my best friend. if that wasn’t enough, I was with a guy whose guts I hate from my class, Go Eun-Hyuk.

I'm sure many people have already seen this one, but if you haven't, you should. This was one of the stories that got me back into reading webcomics. The art is beautiful, the plot is gripping, and the romance is literally to die for (because I will never experience Dohwa falling in love with me and I'm so envious of Soo-Ae).

What I Decided To Die For [ completed - currently: 98 chapters ] Cha Gyeol, who met Ji Oh while having all sort of bad thoughts, is completely swoon over by Ji Oh with her dazzling smile. However, the people around Cha Gyeol are somehow dangerous for her to go head over heels with him.

This modern reincarnation romance is so good. I was experiencing turmoil rooting for the ML but it all played out right in the end and I should be so happy for the author LOL

[ WEBTOON FAVORITES ] As some of you may know, Webtoon stories aren't always available on other sites, so... The following links will take you to Webtoon's website.

Eaternal Nocturnal [ completed - currently: 101 chapters ] When Eve is visited one night by a mysterious apparition, she finds that her chronic insomnia is miraculously cured. Meanwhile Dae, the dream eater, finds himself unexpectedly and unwillingly drawn to Eve.

I love the author, instantmiso. She also wrote Where Tangents Meet and Siren's Lament, both are completed and I've read. The pining and Dae's character were so satisfying.

The Mafia Nanny [ ongoing - currently: 45 chapters ] Being an Elite Nanny is simple: protect the charge, obey the principle, and don’t get emotionally attached. Easier said than done when Davina’s first client is a dangerously compelling Venetian underboss who’s determined to get under her skin.

The leads in this one have me BARKING. I love a good mafia romance, and this manhwa adaption has me sat and waiting every week for the update. Davina is a badass, and her Venetian employer is such a good father. Some (his son) might even call him daddy. Hehe

Down To Earth [ ongoing - currently: 203 episodes ] Kade lives his average life alone and undisturbed... until a cute alien girl crashes into his backyard! 

I initially read this one because my friend kept harping me about it. It's a very cute, wholesome romance between a depressed dude and a sweet, gorgeous, lovable alien girl who crashes on Earth.

Of Swamp And Sea [ ongoing - currently: 100 chapters ] When a monster hunt gone wrong sets two strangers on the same path, they discover their relationship may be more than strictly professional.

I'll be honest and say I am not entirely caught up on this one, only because it went on hiatus after I got caught up. The relationship between the FL and ML was a little off to me at first because I really thought the FL was a teenager until it was revealed she was in her twenties. But, overall, the development between them is lovely.

I Love Yoo [ ongoing - currently: 254 episodes ] Dogged by pain and misfortune from the very beginning, Shin-Ae decides she wants nothing to do with people nor anything to do with romance.

Another extremely popular one, which should take first priority if you haven't started yet. A modern romance with modern-day problems, but the anguish that each character individually experiences keeps me hooked. I hope they all work through their issues and become their happiest selves. Also, the dad is a little bitch boy.

Act Like You Love Me [ completed - currently: 150 chapters ] When a mix-up at a temp job has her spending a day as famous actor Doyun Nam’s personal assistant, she takes her anger out on a doll... which turns out to have the magical ability to control him at her every whim.

This one was so, SO good. I really loved the second ML, but of course, the primary ML is still a heartthrob. The FL was such a lucky girl to have two successful hotties after her.

I could add a lot more, but this is a good start! Happy reading! ❤️

[john-carle123]

Revolutionize Your Business with AI-Powered App Solutions

Hey there, tech enthusiasts and business visionaries! Are you ready to take your company to the next level? Buckle up, because we're about to embark on an exciting journey into the world of AI-powered app solutions. Did you know that businesses implementing AI have seen an average revenue increase of 39%? That's right – AI isn't just a buzzword; it's a game-changer.

The Rise of AI in App Development

Remember when apps were just simple tools to check the weather or play basic games? Those days are long gone. Today, AI is transforming apps into intelligent assistants, predictive powerhouses, and decision-making dynamos. From Netflix's uncanny ability to recommend your next binge-worthy show to Spotify creating the perfect playlist for your mood, AI is everywhere – and it's only getting smarter.

But what's really exciting is how AI is making waves across all industries. Imagine an app that can detect skin cancer with the accuracy of a dermatologist or a virtual shopping assistant that knows your style better than your best friend. These aren't pipe dreams; they're reality, thanks to AI.

Key AI Technologies Transforming App Solutions

Now, I know what you're thinking: "This all sounds great, but how does it actually work?" Let's break it down into bite-sized pieces:

1.  Machine Learning: This is the bread and butter of AI. It's like teaching a computer to learn from experience, just like we do. The more data it processes, the smarter it gets.

2.   Natural Language Processing (NLP): Ever wonder how Siri or Alexa understands you? That's NLP in action. It's all about teaching computers to understand and respond to human language.

3.   Computer Vision: This is like giving your app a pair of eyes. It can recognize objects, faces, and even emotions in images and videos.

4.  Predictive Analytics: Imagine having a crystal ball for your business. That's what predictive analytics does – it uses historical data to forecast future trends.

Real-World AI Success Stories

Let's look at some real-world examples that'll knock your socks off:

1.   E-commerce Recommendation Engine: A major online retailer implemented an AI-powered recommendation system and saw a 35% increase in sales. The secret? The AI could predict what customers wanted before they even knew they wanted it!

2.   AI-driven Personal Assistant: A startup created an AI assistant app that helps busy professionals manage their schedules. Users reported saving an average of 2 hours per day on task management. Talk about giving the gift of time!

3.   Predictive Maintenance in Industrial Apps: A manufacturing company used AI to predict equipment failures before they happened. The result? A 30% reduction in downtime and millions saved in repair costs.

How AI Can Transform Your Business

Now, I can almost hear you asking, "But how can AI help MY business?" Well, friend, the possibilities are endless:

1.  Improved Customer Experience: AI can personalize user experiences, making your customers feel like VIPs every time they use your app.

2.  Increased Efficiency: Automate routine tasks and let your team focus on what really matters – innovation and growth.

3.  Data-Driven Decision Making: With AI analyzing your data, you'll have insights that can guide your business strategy with laser precision.

4. Competitive Advantage: In today's fast-paced market, businesses that leverage AI are leaving their competitors in the dust.

Our AI Expertise: Your Success is Our Mission

Here at Codiant, we're not just observers of the AI revolution – we're active participants. Our team of  Machine Learning experts eats, sleeps, and breathes AI. We've got PhDs who can explain neural networks over breakfast and developers who dream in algorithms.

But don't worry – we won't bore you with technical jargon. Instead, we focus on understanding your business goals and crafting AI solutions that align perfectly with your vision. Whether you're a startup looking to disrupt an industry or an established company aiming to stay ahead of the curve, we've got your back.

Tailored AI Solutions for Every Industry

No matter what industry you're in, AI has something to offer:

·   Healthcare: From diagnostic tools to personalized treatment plans, AI is saving lives.

·   Finance: Fraud detection, algorithmic trading, and personalized banking experiences are just the tip of the iceberg.

·    Retail: Enhance inventory management, personalize shopping experiences, and predict trends before they happen.

·   Manufacturing: Optimize production lines, predict maintenance needs, and improve quality control.

·   Education: Personalized learning paths, automated grading, and intelligent tutoring systems are revolutionizing how we learn.

Ready to Transform Your App with AI?

If you're excited about the possibilities (and let's be honest, who wouldn't be?), we're here to help you take the next step. Here's how we can work together to bring your AI-powered app to life:

1.   AI Strategy Consultation: We'll sit down with you, understand your business, and craft a customized AI strategy that aligns with your goals.

2.  Custom AI Model Development: Our team will develop AI models tailored specifically to your needs. No one-size-fits-all solutions here!

3.  AI Integration: Already have an app? No problem! We can seamlessly integrate AI capabilities into your existing platform.

4.  Ongoing Support: We're in it for the long haul. Our team provides continuous support to ensure your AI solution keeps evolving and improving.

Let's Get Started!

The AI revolution is happening now, and you don't want to be left behind. Whether you're ready to dive in headfirst or just dip your toes in the water, we're here to guide you every step of the way.

Why not start with a free initial consultation? It's a no-pressure way to explore how AI can supercharge your business. Just fill out the contact form below, and we'll be in touch faster than you can say "artificial intelligence."

Remember, the future is AI-powered, and the time to act is now. Your competitors are probably already exploring

[govindhtech]

Benefits Of Conversational AI & How It Works With Examples

What Is Conversational AI?

Conversational AI mimics human speech. It’s made possible by Google’s foundation models, which underlie new generative AI capabilities, and NLP, which helps computers understand and interpret human language.

How Conversational AI works

Natural language processing (NLP), foundation models, and machine learning (ML) are all used in conversational AI.

Large volumes of speech and text data are used to train conversational AI systems. The machine is trained to comprehend and analyze human language using this data. The machine then engages in normal human interaction using this information. Over time, it improves the quality of its responses by continuously learning from its interactions.

Conversational AI For Customer Service

With IBM Watsonx Assistant, a next-generation conversational AI solution, anyone in your company can easily create generative AI assistants that provide customers with frictionless self-service experiences across all devices and channels, increase employee productivity, and expand your company.

User-friendly: Easy-to-use UI including pre-made themes and a drag-and-drop chat builder.

Out-of-the-box: Unconventional To better comprehend the context of each natural language communication, use large language models, large speech models, intelligent context gathering, and natural language processing and understanding (NLP, NLU).

Retrieval-augmented generation (RAG): It based on your company’s knowledge base, provides conversational responses that are correct, relevant, and current at all times.

Use cases

Watsonx Assistant may be easily set up to accommodate your department’s unique requirements.

Customer service

Strong client support With quick and precise responses, chatbots boost sales while saving contact center funds.

Human resources

All of your employees may save time and have a better work experience with HR automation. Questions can be answered by staff members at any time.

Marketing

With quick, individualized customer service, powerful AI chatbot marketing software lets you increase lead generation and enhance client experiences.

Features

Examine ways to increase production, enhance customer communications, and increase your bottom line.

Artificial Intelligence

Strong Watsonx Large Language Models (LLMs) that are tailored for specific commercial applications.

The Visual Builder

Building generative AI assistants using to user-friendly interface doesn’t require any coding knowledge.

Integrations

Pre-established links with a large number of channels, third-party apps, and corporate systems.

Security

Additional protection to prevent hackers and improper use of consumer information.

Analytics

Comprehensive reports and a strong analytics dashboard to monitor the effectiveness of conversations.

Self-service accessibility

For a consistent client experience, intelligent virtual assistants offer self-service responses and activities during off-peak hours.

Benfits of Conversational AI

Automation may save expenses while boosting output and operational effectiveness.

Conversational AI, for instance, may minimize human error and expenses by automating operations that are presently completed by people. Increase client happiness and engagement by providing a better customer experience.

Conversational AI, for instance, may offer a more engaging and customized experience by remembering client preferences and assisting consumers around-the-clock when human agents are not present.

Conversational AI Examples

Here are some instances of conversational AI technology in action:

Virtual agents that employ generative AI to support voice or text conversations are known as generative AI agents.

Chatbots are frequently utilized in customer care applications to respond to inquiries and offer assistance.

Virtual assistants are frequently voice-activated and compatible with smart speakers and mobile devices.

Software that converts text to speech is used to produce spoken instructions or audiobooks.

Software for speech recognition is used to transcribe phone conversations, lectures, subtitles, and more.

Applications Of Conversational AI

Customer service: Virtual assistants and chatbots may solve problems, respond to frequently asked questions, and offer product details.

E-commerce: Chatbots driven by AI can help customers make judgments about what to buy and propose products.

Healthcare: Virtual health assistants are able to make appointments, check patient health, and offer medical advice.

Education: AI-powered tutors may respond to student inquiries and offer individualized learning experiences.

In summary

The way to communicate with robots might be completely changed by the formidable technology known as conversational AI. Also can use its potential to produce more effective, interesting, and customized experiences if it comprehend its essential elements, advantages, and uses.

Read more on Govindhech.com

[jcmarchi]

Stas Tushinskiy, CEO & Co-Founder of Instreamatic – Interview Series

New Post has been published on https://thedigitalinsider.com/stas-tushinskiy-ceo-co-founder-of-instreamatic-interview-series/

Stas Tushinskiy, CEO & Co-Founder of Instreamatic – Interview Series

Stas Tushinskiy is the CEO and co-founder of Instreamatic, a platform that offers AI-powered voice and audio marketing solutions to enable brands to better engage with consumers.

You previously Co-founded Unisound, an audio ad agency. How did this experience lead you to conceptualize launching an AI voice marketing company?

My experience at Unisound was foundational in understanding the evolving landscape of digital audio advertising. We were at the forefront of recognizing the growing demand and potential for audio ads in a digital space.

A key takeaway from my time there was the realization that personalization and contextualization significantly enhance the effectiveness of advertising, including audio ads. This understanding became a cornerstone for the vision behind Instreamatic.

At Unisound, we observed a gap in the market for intelligent, responsive advertising solutions. We envisioned using AI not just for targeting but also for creating a more interactive and engaging experience. This led to the idea of an AI-driven marketing platform, which would revolutionize how we interact with ads.

Could you share the genesis story of launching Instreamatic?

Originally, Instreamatic was born from a vision to transform how audio publishers monetize their content. Initially, our focus was on serving audio ads for monetization, which remains a significant part of our operations.

As we delved deeper into the industry, we identified a substantial opportunity in AI for creative optimization. This realization was pivotal in shaping our direction toward integrating AI technology more deeply into our services.

The convergence of our expertise in audio advertising and the advancements in AI technology was the catalyst for Instreamatic. We saw the potential to not only serve publishers but also to enhance the overall ad experience for users and advertisers alike, paving the way for a more dynamic and efficient advertising ecosystem.

What were some of the initial AI/ML technologies that were used?

We started with a simple classifier. It’s a supervised machine learning method where the model tries to predict the correct label of given input data. Then, we enhanced our classifier by using embeddings. Eventually, we didn’t limit ourselves to just NLP technologies. New ideas and challenges presented us with fresh obstacles and, now, our arsenal includes text-to-speech synthesis and zero-shot voice cloning.

How has generative AI changed your technology stack and how do you deploy it?

Generative AI has brought significant changes to both our technology stack and deployment strategies. Our current technology stack includes advanced machine learning libraries and frameworks that support generative AI models, particularly for text-to-speech synthesis and zero-shot voice cloning. We utilize high-performance computing resources to train these models, as they require substantial computational power. This involves leveraging GPU-accelerated hardware to handle the intensive processing demands.

For deployment, we rely heavily on cloud-based solutions. This offers us the scalability needed to manage the heavy workloads of generative AI applications. We use containerization technologies like Docker and orchestration tools like Kubernetes to manage and scale our applications efficiently. This setup ensures that our generative AI models can be deployed rapidly and scaled according to demand.

Our CI/CD pipelines are optimized for machine learning workflows. We use tools that enable us to automate the training and deployment of models, ensuring that they are always updated with the latest data and algorithms. This automation is crucial for maintaining the efficacy of our generative AI applications.

In terms of data handling, we have implemented robust data processing pipelines. These pipelines are designed to handle large volumes of data efficiently, which is essential for training and operating generative AI models. We ensure that data is processed and stored securely, adhering to best practices in data security and privacy.

Overall, the integration of generative AI into our technology stack has led us to adopt high-performance computing resources, cloud-based infrastructures, containerization for scalability, automated CI/CD pipelines for machine learning, and secure data processing mechanisms. These technical elements are fundamental to supporting the advanced capabilities of our generative AI applications.

Instreamatic specializes in what you call contextual video and audio advertising—how do you define that?

Contextual Advertising taps into current advances within generative AI to significantly alter what’s possible with video and audio ads. The result for businesses is increased brand engagement and ROI. Contextual Ads offer an essentially unlimited capability to continually generate and A/B test new creative content relevant to the listener’s specific context and environment.

The fact is the advertising industry has been up against declining engagement rates across ad types for years. That’s probably no surprise to anyone, as consumers demonstrate increased screen fatigue and resistance to generalized advertising that relies on bombarding audiences with ad quantity to earn conversions. While ads that demonstrate more specific original content and higher relevance to the consumer earn higher engagement, the time and cost investments required to manually produce and manage separate ad copy for each individual consumer’s context are extremely prohibitive.

Our contextual audio, video, and connected TV (CTV) ads are powered by AI to buck this low-engagement trend by enabling advertisers to make every ad hyper-relevant and precisely targeted to the consumer hearing it. Consider a traditional 30-second audio ad spot: a hired voice actor might record a few ad copy variations at most, not enough for the listener to be particularly surprised, or to necessarily capture their attention. Contextual Ads are capable of enhancing that traditional ad content, using generative AI to synthesize the same actor’s voice and automatically generate thousands of ad variations across a campaign.

Contextual Ads are especially useful for revitalizing longer ad campaigns (in the 3-6 month range). Traditionally, these campaigns are very vulnerable to creative fatigue: audiences get the same creative over and over, inevitably leading to decreased engagement. Our technology solves this challenge by making it simple to refresh creatives weekly. For retailers with weekly-updated product offers, for example, our automatic ad generation is similarly ideal for keeping those campaigns current and fresh.

How realistic is it for brands to expect AI to hyper-personalize ads?

It’s now fully realistic, as demonstrated by generative-AI-powered contextual advertising. Contextual Ads can feature hyper-personalized details, including the listener’s location, the time of day, the name or type of app or platform they’re using, and the activity they’re engaging in, whether it’s listening to a podcast, playing a game, etc. Contextual Ads can even include variables such as naming local storefronts and addresses, local in-store promotions, promo codes (unique to each channel to enable performance measurement), travel destinations with specific offers, and much more. These ads can also name the nearest local storefront where a listener can interact with the brand and redeem the deal offered in the ad. This same targeting capability ensures that ad campaigns reach vetted audiences that are most receptive to the products and solutions being offered. These ads are all generated and delivered without recording new voice or voice-over content.

Can you discuss the core offerings that your customers have access to?

From a brand perspective, our Contextual Ads platform takes a single original voice sample and script, identifies the set of parameters unique to each individual listener, and uses our voice AI capabilities to seamlessly produce and serve audio, video, or CTV ads aligned with those specifics. For example, a Contextual Ad generated for a particular user could begin, “Hope you’re enjoying your podcast on this rainy morning in Chicago, I just wanted to quickly let you know that coffee is buy-one-get-one-free at Jake’s Coffeeshop all month.” Whereas producing that same ad creative with prerecorded audio and branching logic would be an all-but-impossible undertaking, the voice AI behind Contextual Ads prepares this creative on-demand—automatically and in real-time.

From a publisher’s perspective, AI-driven voice, video, and CTV Contextual Ads offer a game-changing innovation with no complex integration required. Contextual Ads work with all demand-side platforms (DSPs) and ad servers supporting VAST tags, offering instant scalability. Publishers can also leverage our ad network to reach more than 6 billion impressions globally at no platform cost: technical costs are included in media spend when publishing within network.

Could you share some details on the process of launching an ad on the platform?

Launching an ad on our platform literally takes just minutes. The brand or agency user simply writes ad copy with or without help from AI, then either chooses a royalty-free voice from our Voice Library or clones their own voice talent. Users can also upload any additional assets necessary (background music, video footage, banners, etc). The user finalizes the ad, and the platform provides versions ready to serve—either via the VAST tag (the industry standard for ad trafficking), or as downloadable media files ready to go for any digital and broadcasting environments.

These AI-enriched ads not only increase the performance of video and audio ad campaigns by enabling hyper-personalization at scale, but also slash the cost to produce campaigns and reduce ad creation time from weeks to minutes. For campaigns with 50+ versions, users experience a ~10X cost decrease. Our technology offers similarly decisive benefits for single-creative campaigns as well. The platform is also a great instrument for sales teams to quickly produce ad mock-ups for their clients without engaging with production and creative teams at an early stage, since our AI can write copy and fully produce custom ads.

What’s your vision for the future of AI advertising and marketing?

I really do see a future where customers aren’t annoyed at (or tuning out) ads because each one is now relevant and more interesting to them, with brands are that much more capable of reaching the right audiences at the right moments with the perfect contextual message. That’s obviously a sea change from where the industry is now, but I do believe that’s where we’re headed—and AI, leveraged strategically, is making it possible. Contextual Ads are also going to continually get better at capturing listeners’ attention because they speak precisely to their context and their needs, especially in the privacy-first world where user targeting gets harder and harder—so context targeting is the only efficient mechanism for boosting ad performance. Our advanced generative ad AI can create unlimited new creatives to address each listener as an individual. The result is an uplift in listener engagement, greater ad ROI, and more meaningful customer connections for brands.

Thank you for the great interview, readers who wish to learn more should visit Instreamatic.

[gale-gentlepenguin]

Gale Reviews: ML Season 5 episode 11 Deflagration

(Spoilers below)

-So continuing from episode before with Scarabella and Kitty noir answering an interview explaning that the heroes needed to step down cause Monarch... okay.

-That reporter is right

-Oh damn Kitty noire can flirt. I still hate that lipstick look. The lighting looks so weird.

-Adrien seems down, I think he misses Plagg. But he also looks like he wants to call Marinette. Hard to say whats going on in his mind

-Tikki misses marinette. Alya thought she messed up with the interview

-But looks like Marinette can visit Tikki at least.

-"Did we miss an episode?" As someone that watches ML that is offensive. We get our episodes out of order dont complain ... lol

-So we actually get to look at Alya's room and girl has a LOT of manga and comics. Respect. BUT WHERE ARE THE PICS OF NINO?! hardly any. I only saw one in the group photo.

-Oh Alya, you missed more than you think

-Marinette checking to ensure alya knows the rules but, Alya assures her that this is not her issue anymore. She can focus on her.

-Meanwhile Plagg telling Zoe she is only lacking in the chees department

-"I live in a hotel with the biggest cheese cellar in paris"

-The moment plagg learned that True happiness CAN exist

-I have a feeling this episode is going to determine if I start Liking Zoe or not

-Catching Chloé in 4K

-Zoe caved quick...

-Plagg coming out with the diss track for Chloé's stank feet

-Plagg only had Zoe for one day and is ready to commit murder

-Plagg killed the dino's because they were sassing him. Amazing

-Plagg is baby

-And now .... WHAT THE ACTUAL FUCK WAS THAT?!

-Did they just... THAT HAD TO BE A HALLUCINATION! I SERIOUSLY SAW THAT. GABRIEL SUNG! AND POORLY MIGHT I ADD!

-Also he slid down the staircase and the song stopped when Nathalie is like "The fuck was that you tampon?!"

-Gabriel explained why he is so happy

-Nathalie going back to watching videos of her gay crush

-Roarr calls him out like a good boy

-Gabriel is pulling out all the stops with this power combo

-Oh look the resistance is back

-Can we appreciate that Nino had a great speech with epic music?

-Adrien just turns it off cause he wants to ask about ladybug

-Marinette worried about chat noir

-Adrien is like mentally 'Oh right, I made out with her as chat noir'

-Max and Markov made an alert app on the alliance or smartphone. Smart move

-Kitty section made warning music. Thats fun

-So they have anti-akuma measures. Gotta say, thats kind of cute

-I know he says paintball guns. But I was kind of hopping Alya, Nino, marinette and Adrien would get real guns and cap an akuma

-HE WAS THERE THE WHOLE TIME?! Dude! He could have just ended it there! are you stupid MONARCH?!

-Okay I know its not 100% and he needs to confirm its them. But like. He could have just stunned them. Checked them for earrings and rings. Then left.

-Okay Adrien you f***ing dweeb. I love it. He got a little make shift table for two with a bowl of fruit and a rose. BOY GOES HARD. ITS SO CRINGE AND SWEET.

-With supportive friends. They are really middle school

-Adrien my boy, my sweet sunshine. Marinette my lovely little moon beam. WHY ARE YOU SO ADORABLE AND CRINGE!!!!

-Chloé doesnt know what Generous means, and her alliance doesnt understand . So she tells her sabrina... which tells her alliance. I fucking cant....

-And Chloé is going to do something that will get her akumatized isnt she

-Marinette is trying so hard

-Adrien doesnt get that this girl is trying to grab what she has wanted for 5 seasons

-And there we go, progress was made. Thanks to Chloé interestingly enough

-Adrien is not dealing with her crap, neither is anyone else. Good on them

-And there Zoe is. Because she has had enough of Chloé being mean to her Crush Friend (Look I still believe Zoe is into Marinette.)

-And I forgot monarch was there just watching everything.

-Sole Destroyer? Oh SHE gets to be Sole Crusher now.

-she makes them into shoes that sing!

-Side note, Sole destroyer lOOKS WAY more menacing than the previous one

-OH S*** HE GOT EM! Plagg and ZOE

-HE GOT TIKKI AND ALYA!!!

-Oh no....

-HE PREDICTED PLAGG WOULD TRY AND KILL HIM?!

-so thats what random tikki power looks like when just casting lucky charm

-what did plagg do!?!

-YO!!! PLAGG BROKE HIS MIRACULOUS! THATS F***ING CRAZY. Plagg may be a cat, but he is clearly the GOAT

-Plagg really just said (Screw the rules I am not playing) And knew the lucky charm would be the way of fixing it

-Things are getting created and destroyed like crazy! damn

-Marinette went right back to Ladybug mode

-Comrade mayo

-Wait... does the lucky charm have a time limit if Tikki made it?

-So the miraculous are the tether to the human world. Wait... then how were the kwami around traveling in space before they existed.

-Marinette showed up in her own designed version of it. And I will say it. Aside from the helmet. It slaps

-UGH Monarch bug.... the darker mask is cool and the red eyes... but the spots are such a NO!

-Yoo, that throw should have broke Marinette's back. IT CRACKED CONCRETE!

-NINO FOR THE SAVE

-THE PAINT BALLS! The resistance is actually useful

-WAIT... THEY CAPTURED SOLE DESTROYER?! HOW DID THEY EVEN?! You know what? Respect.

-He deakumatized her.

-COMRADE MAYO FOR THE COUP DE GRACE!!!

-STONE COLD! ADRIEN TAKES THE LADYBUG MIRACULOUS! WE STAN MAYO

-Ladybug fixed everything then before Monarch can be glad the cat ring was back. Marinette snatches the ring... but not the rest cause he had too many rings

-Welp, Monarch failed bad. Covered in paint and now on the back foot.

-Chloé is just there tied up

-So they get their miraculous back cause they realize Monarch doesnt know them so

-Plagg wants to say good bye to kitty noire first before returning to adrien

-Poor zoe, But glad Plagg told her to stand up for herself. Glad some positives were in that

-And some platonic ladynoir at the end

_____________________________________________________________

It was certainly something.

Though wow, Monarch got his ass beat by kids with no powers. Honestly that was funny

7/10

I do kind of wish we had more ladrien. But Everyone had a fun scene. Though minus 2 for that bleaching of the eyes that was monarch dancing