B S Dubey

How to implement AI governance for agentic AI solutions As artificial intelligence continues to evolve, agentic AI solutions—systems capable of autonomous decision-making—are becoming increasingly prevalent in industries such as healthcare, finance, and manufacturing. However, the enhanced autonomy of these systems raises significant governance challenges. Proper AI governance ensures that these solutions act responsibly, ethically, and … Read more

Nvidia’s stock has recently experienced a significant surge, driven by its strategic partnerships in the rapidly expanding field of artificial intelligence (AI) chips. As AI technology demands more powerful and specialized hardware, Nvidia has secured key collaborations with South Korean and United Arab Emirates (UAE) governments and corporations, positioning itself as a dominant player in … Read more

Autonomous AI: risks, rewards, and responsible governance Autonomous artificial intelligence (AI) represents a revolutionary leap in technology, enabling machines to perform tasks independently without human intervention. From self-driving cars to automated decision-making systems, these AI applications promise to transform industries, enhance efficiency, and create unprecedented opportunities. However, with autonomy comes a host of risks, including … Read more

The rapidly evolving landscape of artificial intelligence (AI) is reshaping industries and economies worldwide, and Europe is no exception. At the heart of this transformation is a key strategic partnership between Nokia, a historic telecommunications giant, and Nvidia, a global leader in AI computing technology. This collaboration is not only accelerating AI innovation but also … Read more

Key principles of AI governance for agentic systems are crucial in today’s rapidly evolving technological landscape. Agentic systems, characterized by their autonomous decision-making capabilities, pose unique challenges that traditional governance frameworks may not adequately address. As these systems become more embedded in industries ranging from healthcare to finance and autonomous transport, establishing clear rules and … Read more

The collaboration between Nokia and Nvidia marks a pivotal moment in Europe’s telecommunications industry, ushering in a new era driven by artificial intelligence (AI). This partnership leverages Nokia’s vast expertise in networking infrastructure and Nvidia’s cutting-edge AI hardware and software capabilities, positioning Europe as a key player in the global AI revolution. As telecommunications networks … Read more

Agentic AI and Its impact on innovation and industry Agentic AI refers to artificial intelligence systems designed to act autonomously with goal-directed behavior, making decisions and adapting to complex environments without constant human oversight. Unlike traditional AI that follows predefined rules or operates within narrow parameters, agentic AI mimics human-like agency, enabling machines to plan, … Read more

Understanding tokens in AI is essential to grasp how modern language models and other artificial intelligence systems process information. Tokens are the fundamental building blocks used by AI to interpret, generate, and manipulate text data. Whether it’s a word, part of a word, or even a character, these units enable machines to make sense of … Read more

Embedding in AI is a fundamental concept that underpins many advances in artificial intelligence, particularly in natural language processing, computer vision, and recommendation systems. At its core, embedding refers to the process of converting complex data—like text, images, or sounds—into continuous vector representations that machines can interpret and analyze. This approach allows AI models to … Read more

Retrieval-Augmented Generation (RAG) in AI is a groundbreaking approach that blends the power of information retrieval with advanced text generation. As AI systems face growing demands to produce accurate and contextually rich responses, traditional models sometimes fall short due to limited pretraining knowledge or outdated information. RAG addresses this challenge by dynamically fetching relevant data … Read more