Tag: artificial-intelligence
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When Scale Is No Longer Enough
Over the past few years, I have found myself thinking less about how large our AI models have become and more about how they behave once they are deployed in the real world. Scale has delivered substantial progress. Larger models, more data, and more compute have unlocked capabilities that were previously out of reach. But…
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Can Intelligence Be Centralized? Rethinking RAG in the Era of Federated AI
Over the past year, RAG has quietly become the backbone of modern AI systems. It gives language models access to real-world knowledge, helping them stay relevant, factual, and grounded. But as enterprises start scaling RAG across teams, countries, and regulations, one question keeps surfacing i.e., Can intelligence truly be centralized? In theory, it’s yes! It…
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Course Launched – Software Engineering with Knowledge Graphs and RAG
In an era where software complexity continues to surge, traditional development and maintenance practices are struggling to keep pace. Fragmented documentation, disjointed systems, and siloed knowledge often hinder progress, leading to inefficiencies and risks across the software lifecycle. To address these, I have developed one short 1 hour course where you can understand merging the…
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AI in 2025 | From Experimentation to Execution and Impact
In 2025, Artificial Intelligence (AI) is expected to transition from being a transformative technology to a fundamental enabler of progress. The year promises advancements in generative AI, domain-specific applications, collaborative ecosystems, and strategic national initiatives, collectively shaping a more practical and impactful AI-driven future Emerging areas like Agentic AI and Quantum AI will also continue…
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Graph DB vs Vector DB for AI
The discussion regarding graph and vector databases is increasing due to organizations putting their weight behind AI. In fact, each has unique strengths, and choosing the right one depends on various factors, like how application processes data, handles queries, scales, and what specific objectives you aim to achieve. Graph databases (e.g., Neo4j, Amazon Neptune, ArangoDB,…
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Multi Agentic AI Systems
A few weeks ago, I wrote about the growing relevance of Agentic AI. Let me add, the next big potential lies in the rise of multi-agentic AI systems. These systems are built on three fundamental elements: Agents, Tasks, and Crews. Together, these building blocks form the foundation of how multi-agentic AI automates processes and drives…
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World’s first enterprise-wide generative AI framework technology
Fujitsu Limited proudly announces the development of the world’s first generative AI framework designed specifically for enterprises. Starting in July 2024, this innovative framework will be available globally as part of the Fujitsu Kozuchi lineup. Key Features:1. Knowledge Graph Extended RAG: Enhances data input accuracy by expanding data references for large language models to over…
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Fujitsu chosen for GENIAC project, starts development of large language models for logical reasoning
Enhancing reliability of generative AI, accelerating application of generative AI in business operations Fujitsu has been chosen for the GENIAC project, backed by Japan’s METI and NEDO, to develop advanced generative AI technology. The focus is on using knowledge graphs to enhance large language models (LLMs) with logical reasoning capabilities. This initiative addresses the challenge of…
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How AI Is Shaping an Inclusive and Diverse Future
AI’s Transformative Impact and Challenges in Developing Regions Originally Published at BankInfoSecurity & databreachtoday EU — https://www.bankinfosecurity.com/blogs/how-ai-shaping-inclusive-diverse-future-p-3568 https://www.databreachtoday.eu/blogs/how-ai-shaping-inclusive-diverse-future-p-3568 Artificial intelligence is steadily emerging as a driver in bridging the digital divide and fostering inclusivity, particularly in developing regions where disparities in health, education and economic opportunities are most acute. The widespread digitization across these regions…
Welcome! I’m amitkumar Shrivastava, Head of AI, Global Fujitsu Distinguished Engineer, and Fujitsu Fellow. This blog is dedicated to exploring the latest in technology, with a focus on artificial intelligence. Here, I share insights from my work, tech travels, and ongoing projects in the AI space. Join me as we dive into cutting-edge innovations and industry updates. Reach me at LinkedIn - https://www.linkedin.com/in/amitkumar-shrivastava/. 