#ML tool

[bhaskarlive]

IIT Delhi researchers develop ML tool to map extent of landslides

Researchers from the IIT Delhi on Monday announced the development of a ground-breaking cloud computing and machine learning-based tool that can help map a landslide’s extent using satellite data.

This easy-to-use and publicly-available tool ML-CASCADE requires an approximate date and location of a landslide event.

Source: bhaskarlive.in

[rosekasa]

the major arcana

mum taught me how to read tarot cards when i was younger... ive always loved this card and it reminds me so much of ladynoir ;-;

hd and process

[katydoodles]

Thank you Ladynoir-Fan for the Kofi!

[gxlds-doodles]

the most happily married-but-not-married evil couple you've ever seen and their weird little dogboy son

[etanow]

Something don't feel right

[piratesandpizza]

Here’s my extremely belated secret Santa for @watsons-falling-snow !

A very romantic Adrienette kiss in front of the Arc de Triomphe (which I am quite proud of in this illustration lol)

I hope you enjoy this gift! and that your 2024 is amazing!

@mlsecretsanta

[hufflepotato-18]

i call this the “fast and furious” effect

[insightfultrends]

Top 10 Free AI Video Maker Tools to Create Stunning Videos in 2025

Top 10 Free AI Video Maker Tools to Create Stunning Videos in 2025 As we step into 2025, video content continues to dominate the digital landscape. From social media platforms to corporate presentations, videos are the most engaging way to communicate ideas, tell stories, and promote products. However, creating high-quality videos traditionally required expensive software, professional skills,…

[wooawi]

Take Two Chapter 14

preview under the cut

Plagg had woken up, the noise too much for him to ignore like usual, and Tikki cursed the fragility of humans. Surely they didn’t have to scream every time.

“Acting like what, Plagg?” She said and lowered her paw. Alya’s body released and the girl dropped to the floor, dry heaving and still sobbing.

Plagg yawned and floated closer to her, his drooping eyes taking in the scene around him. “Like this, sugarcube. If I had known you would get this petty, I would’ve stopped you when Nooroo approached me all those millenia ago.”

She wasn’t surprised that the other kwami had been talking about her behind her back. They couldn’t rationalise why she did the things she did. The burden of keeping the universe balanced was something they could never understand, especially when you have to carry your own weight and the weight of your partner because he would rather spend his lifetime eating cheese and being lazy and–

“Your thinking is so loud,” Plagg complained and rolled over in the air. His ears perked up when Alya hiccuped through her tears, and he groaned and made his way to her. One touch was all it took, and the effects of Tikki’s rage was erased completely. The girl sat up straight, shocked and confused, and tensed herself up for more pain. “All you have to do is fix your mistakes and we can all be done with this and go back.”

Sometimes, she truly hated Plagg. She alone had been carrying the reputation of the kwami on her back for all this time with nothing but contempt and disgust from the others, and now that the cat kwami was finally awake and coherent enough to look around, he decided to fight against her?

“Uh oh, I know that look,” he said and floated back to his Chosen. “You’re doing the whole ‘Tikki vs The World’ thing again, aren’t you.”

“Are you capable of taking anything seriously, you stupid excuse for a god?”

Plagg just grinned.

[rosekasa]

kofi comm for @blackholesoffandom !!! as per usual katie always just pays for me to be happy shdfjkdsfds <3 <3 <3 thank you so much as usual! i love u dearly!!

kofi sketch comms open!

[katydoodles]

Planning Session

Chloe and Zoe trying to figure out how to take the credit card again.

[gxlds-doodles]

LOVING Félix's bangs in season 6 from the little we've seen of him so far. have a s6 Félix for your troubles trust he will properly show up soon

[datapeakbyfactr]

How Agentic AI is Enhancing the Automation of Business Process 

Artificial Intelligence (AI) is revolutionizing industries across the globe, with business process automation (BPA) being one of its most significant beneficiaries. Traditional automation has focused on rule-based systems that execute predefined tasks. However, the advent of Agentic AI—AI that is autonomous, adaptive, and capable of decision-making—has ushered in a new era of intelligent automation. 

What is Agentic AI?

Agentic AI refers to AI systems that exhibit agency, meaning they can perform tasks with minimal human intervention, adapt to new situations, and make decisions based on complex data inputs. Unlike traditional automation, which follows a rigid, rules-based approach, Agentic AI can: 

Learn from experience: Continually refine its processes based on new data. 

Make autonomous decisions: Reduce reliance on human oversight. 

Adapt dynamically: Respond to changing business conditions in real-time. 

Communicate and collaborate: Work alongside human employees and other AI agents. 

This ability to act independently makes Agentic AI a game-changer in business process automation. 

The Role of Agentic AI in Business Process Automation 

1. Enhanced Decision-Making 

Agentic AI allows businesses to move beyond simple task automation to intelligent decision-making. By analyzing vast amounts of data, AI-driven automation can identify patterns, predict outcomes, and optimize processes without requiring constant human input. This is particularly valuable in sectors like finance, healthcare, and supply chain management. 

For example, in the financial sector, AI algorithms analyze market trends, detect fraud, and automate loan approvals based on customer credit history, reducing the need for manual assessments. 

2. Hyper-Automation 

Hyper-automation, a key trend in BPA, involves integrating AI with robotic process automation (RPA) to create fully automated workflows. Agentic AI enhances this by: 

Enabling bots to handle complex scenarios rather than just repetitive tasks. 

Making real-time adjustments based on external factors. 

Reducing the need for manual intervention in high-stakes decision-making. 

Businesses implementing hyper-automation can achieve unparalleled efficiency and scalability, minimizing human effort while improving accuracy. 

3. Personalized Customer Experiences 

Businesses are increasingly using AI-driven automation to provide tailored customer experiences. Agentic AI can: 

Analyze customer interactions to predict needs and preferences. 

Provide personalized product recommendations. 

Automate customer service through AI-driven chatbots and virtual assistants. 

For instance, AI-powered recommendation engines used by companies like Amazon and Netflix analyze user behaviour to offer personalized content, leading to increased engagement and customer satisfaction. 

4. Operational Efficiency & Cost Reduction 

With Agentic AI handling repetitive and decision-intensive tasks, businesses can: 

Reduce operational costs by minimizing human labour in routine processes. 

Improve accuracy and efficiency by eliminating human errors. 

Scale operations without a proportional increase in workforce expenses. 

This translates into increased profitability and allows human employees to focus on more strategic and creative tasks. 

5. Supply Chain & Logistics Optimization 

Agentic AI is revolutionizing logistics by dynamically adjusting supply chain operations based on real-time data. Benefits include: 

Predictive inventory management, reducing stock shortages and overstocking. 

Optimized route planning for deliveries, cutting down transportation costs. 

Automated procurement processes that respond to demand fluctuations. 

For example, AI-driven logistics platforms like Amazon’s fulfillment centers use AI to streamline inventory management and warehouse operations, significantly reducing delays and costs. 

Real-World Applications of Agentic AI in BPA 

Banking & Finance 

AI-driven risk assessment and fraud detection systems improve security. 

Automated financial advisory services assist clients with investments. 

Loan processing is accelerated using AI-powered credit risk assessment models. 

Healthcare 

AI assists in diagnosing diseases with greater accuracy. 

Automated administrative processes, such as patient scheduling, streamline hospital operations. 

Personalized treatment plans are generated using predictive analytics. 

Retail & E-commerce 

AI optimizes pricing strategies based on demand trends. 

Automated supply chain management ensures product availability. 

Personalized marketing campaigns increase conversion rates. 

Manufacturing 

Predictive maintenance minimizes equipment downtime. 

AI optimizes production schedules to reduce waste and improve efficiency. 

Automated quality control detects defects faster than human inspectors. 

Human Resources 

AI-driven recruitment tools analyze resumes and match candidates with job roles. 

Automated onboarding enhances employee engagement. 

AI monitors workforce productivity and suggests improvements. 

“Moving beyond static workflows, Agentic AI revolutionizes business process automation by embedding adaptive decision-making at every step. This breakthrough not only automates tasks but continuously refines how businesses operate.”

— Michael Roberts, Senior VP of Digital Operations at Innovare Systems

How to Implement Agentic AI in Your Business 

Implementing Agentic AI in business process automation requires careful planning and execution. Below are the key steps to successfully integrate AI-driven automation: 

1. Identify Business Needs and Goals 

Assess areas where automation can add the most value, such as improving customer service, streamlining operations, or reducing costs. 

Define clear objectives for AI implementation, such as increasing efficiency, accuracy, or scalability. 

2. Select the Right AI Tools and Technologies 

Evaluate AI platforms and solutions that align with your business needs. 

Consider cloud-based AI services for scalability and ease of integration. 

Identify the necessary machine learning models and automation tools to support AI-driven decision-making. 

3. Ensure Data Readiness 

AI thrives on high-quality data; therefore, businesses must ensure data is clean, structured, and accessible. 

Establish data governance policies to maintain data integrity and security. 

4. Integrate AI with Existing Systems 

Ensure AI solutions can seamlessly integrate with enterprise resource planning (ERP) systems, customer relationship management (CRM) platforms, and other business software. 

Leverage APIs and automation frameworks for smooth implementation. 

5. Test and Optimize AI Performance 

Conduct pilot tests before full-scale deployment to assess AI effectiveness and identify potential issues. 

Use feedback loops to continually refine AI models and improve performance. 

6. Train Employees and Foster AI Adoption 

Educate employees on AI capabilities and how it enhances their roles rather than replacing them. 

Develop training programs to upskill staff in AI-related competencies. 

7. Monitor, Measure, and Scale AI Implementation 

Track key performance indicators (KPIs) to measure AI's impact on business processes. 

Continuously refine AI strategies to maximize benefits and expand AI-driven automation across departments. 

Things to Consider 

While Agentic AI presents numerous advantages, businesses must address several challenges: 

Ethical and Regulatory Concerns 

Ensuring AI decision-making aligns with ethical standards and regulatory guidelines is critical. Transparent AI governance is necessary to avoid biases and ensure fair decision-making. 

Data Security and Privacy 

AI-driven automation relies on vast amounts of data, making cybersecurity a top priority. Businesses must implement robust security measures to protect sensitive information from breaches. 

Workforce Adaptation 

Employees need to be upskilled to work alongside AI systems effectively. While AI automates repetitive tasks, human employees must shift towards roles requiring creativity, critical thinking, and strategic planning. 

Implementation Costs 

Deploying Agentic AI requires substantial investment in technology, infrastructure, and employee training. However, businesses that successfully implement AI-driven automation often see a high return on investment in the long run. 

Comparison: Traditional Automation vs. Agentic AI 

What’s Next for Agentic AI in Business Process Automation?

The future of BPA with Agentic AI looks promising, with advancements in AI models, natural language processing (NLP), and machine learning (ML) driving even more sophisticated automation capabilities. Businesses that adopt this technology early will benefit from increased efficiency, scalability, and a competitive edge in their respective industries. 

Emerging trends include: 

Autonomous AI agents that can collaborate with human teams more seamlessly. 

AI-powered decision-making systems that continuously improve with minimal supervision. 

Greater integration with the Internet of Things (IoT) for real-time process optimization. 

As AI keeps advancing, bringing Agentic AI into the heart of business operations will go from being a nice-to-have to an absolute must for thriving in a fast-moving, tech-focused world. 

As businesses navigate challenges and opportunities, Agentic AI offers a powerful way forward. By blending intelligent decision-making with automation, it has the potential to redefine efficiency, creativity, and scalability. Yet, the true value of Agentic AI lies not just in its transformative capabilities, but in its ability to empower businesses to focus on what truly matters—innovation, customer satisfaction, and long-term growth.  

The future of business is not just automated—it’s Agentic. 

Learn more about DataPeak:

[smoothtallk]

Looking to boost your lead conversion rates and sales efficiency? Discover how Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing modern lead management tools!

In this video, we break down:

✅ What AI and ML really mean in the context of sales ✅ How AI-powered lead management works ✅ Key features like lead scoring, segmentation, automation, and forecasting ✅ Real-world benefits for businesses of all sizes ✅ Best practices for using AI in your lead workflow ✅ Future trends you need to watch out for!

[jamesmitchia]

Goodbye Manual ML — Hello, Generative AI

Machine learning used to be a long and technical process. You’d spend hours cleaning data, writing code, and testing models. But now, Generative AI is making that whole process much easier and faster.

Instead of doing everything manually, you can now ask AI tools to help with different parts of your ML workflow. For example, they can clean data, suggest features, write code, and even explain model results in simple language.

Here’s what’s changing:

Data preparation is quicker—AI can suggest how to fix messy data or even create new, realistic examples to train on.

Model building is simpler—you can describe what you want, and the AI can generate working code.

And now, more people can use machine learning, even if they aren’t experts or programmers.

In short, Generative AI is becoming a powerful assistant for anyone working with machine learning. It helps save time, reduce complexity, and make ML more accessible to everyone.

And this is just the beginning—imagine what the next few years will bring.

About US: AI Technology Insights (AITin) is the fastest-growing global community of thought leaders, influencers, and researchers specializing in AI, Big Data, Analytics, Robotics, Cloud Computing, and related technologies. Through its platform, AITin offers valuable insights from industry executives and pioneers who share their journeys, expertise, success stories, and strategies for building profitable, forward-thinking businesses.

Contact Us :

Call Us

+1 (520) 350-7212

Email Address​

sales@intentamplify.com

Local Address

1846 E Innovation Park DR Site 100 ORO Valley AZ 85755

[rosekasa]

🐞: are we... superheroes?

🐈‍⬛: well, you sure are!