Debabrata Pruseth

Understanding Agentic AI and Its Impact

AI, GenAI / November 16, 2024

Nvidia, Microsoft, and OpenAI: Everyone is suddenly talking about Agentic AI. So what’s driving this new evolution?

Two main forces are fueling the rise of Agentic AI. First, the pressure to monetize large language models (LLMs) like ChatGPT and Gemini. Second, the ‘Law of Scaling’ that limits how far incremental improvements can take traditional LLMs, even when adding new features.

But what exactly is this new buzzword ‘Agentic AI’? How does it differ from Generative AI? And how do they complement each other? Most importantly, how will Agentic AI shake and transform the world of Robotic Process Automation (RPA)?

Over the weekend, I took a deep dive into these intriguing questions, and it was truly an eye-opener. The practical use cases for Agentic AI are incredibly promising, ranging from revolutionizing fraud management in banks to accelerating the discovery of new medicines in healthcare.

As businesses look to the future, understanding the distinction between Generative AI and Agentic AI becomes crucial. Generative AI is about creating content—text, images, music—while Agentic AI is about taking autonomous actions to achieve specific goals. Imagine pairing the content creation power of Generative AI with the autonomy of Agentic AI—the possibilities for automation and innovation are limitless.

Agentic AI isn’t just an upgrade; it’s a paradigm shift. It’s poised to elevate RPA from simple rule-based automation to a new level of intelligent, adaptive automation. The impact will ripple across industries, transforming how processes are optimized, decisions are made, and value is delivered.

The future of automation is here, and it’s Agentic. Are you ready to harness it?

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I spent the weekend with ChatGPT Search: Insights, Surprises, and the Real Verdict

AI, GenAI / November 9, 2024

Is ChatGPT Search the new Google Search challenger, or just a passing trend? After a weekend of hands-on testing, I dove deep into what each tool brings to the table. From real-time updates and content accuracy to ease of use and handling complex queries, this ultimate showdown uncovers where each shines—and where they fall short. Whether you’re looking for quick answers, conversational exploration, or specialized knowledge, find out which search tool truly delivers the experience you need. Read on for insights, surprises, and the final verdict on ChatGPT Search vs. Google Search!

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AI Maturity Model: Boost Your Organization’s AI Readiness

AI, GenAI / October 27, 2024

An AI maturity model is essential for organizations looking to elevate their AI strategy. This guide breaks down the key stages of AI maturity, from initial adoption to advanced integration. Learn how each stage impacts business outcomes, the benefits of a structured AI approach, and the strategies needed to progress effectively. Whether you’re starting your AI journey or refining an existing strategy, understanding AI maturity models can help you achieve sustainable growth and competitive advantage. Dive into best practices and actionable insights to drive success with a robust, scalable AI strategy tailored to your organization’s unique needs.

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GenAI Risk Management: A layman’s guide

AI, GenAI / October 20, 2024

Generative AI is transforming industries, but it also brings new risks that organizations must manage effectively. In this article, you’ll discover actionable strategies from the NIST AI 600-1 framework to help you govern, map, measure, and manage AI risks within your team or organization. From identifying potential biases and privacy issues to monitoring AI performance post-deployment, these insights will empower you to implement a robust AI risk management plan. Whether you’re in tech or leadership, this guide offers practical steps to ensure your AI systems operate safely, align with regulations, and maintain trust with your users.