Tag: Data Science
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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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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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Generative AI: Powerful, But Not the Solution for Every Problem
I may be one of the few in the AI space who discusses Generative AI in a more limited and measured way. Why? While Generative AI is potentially powerful and grabbed everyone’s attention, it’s not something you should apply everywhere. In my articles, posts, interviews, and conversations, I often avoid focusing solely on it, preferring…
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Agentic AI: Enhancing Autonomous Decision-Making in Business
Decision-making in complex business environments requires more than efficiency. It requires systems that can adapt and act autonomously. While traditional AI is advancing, it often needs to catch up when real-time responsiveness and scalability where it is at stake, particularly in the finance and shared services sectors. Although not a new concept, Agentic AI has…
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AI Trends Shaping Business Strategies and Sustainability in 2024
In an interview with TimesTech, I discussed transformative AI trends for 2024, their impact on business strategies, and the role of AI in enhancing cybersecurity and promoting sustainability. You can read some portion of the interview. TimesTech: Can you elaborate on the AI trends you foresee shaping business strategies in 2024? How can organizations leverage these…
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Keynote Speaker at PMI Waves 2024
On August 10, 2024, I had the honor of being invited as a keynote speaker at the PMI Kerala Chapter’s 14th Annual Project Management Conference, WAVES 2024. During my address, I discussed the transformative impact of AI in empowering industries. I also highlighted the potential for increased fraud risks with AI advancements and how AI…
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How has the concept and adoption of AI changed over the years?
Recently, I Was invited to speak at the TechGig Webinar on “How has the concept and adoption of AI changed over the years?”. I touched on how Investors and Venture Capitalists, governments, the public, businesses, developers, and researchers have evolved and continue to adapt in this dynamic field. Also, had the opportunity to hear other…
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Fujitsu’s Amitkumar Shrivastava on Ethical AI Use and Customer-First Approach
Recently, I have been interviewed by cio.inc and discussed various AI topics including AI security. You can watch the full interview here. Enterprises exploring generative AI solutions to boost operational efficiency and productivity continue to face implementation challenges. To help enterprises achieve their AI objectives, Fujitsu has developed an AI platform – Kozuchi. Kozuchi integrates…
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Release of “Fugaku-LLM” — a large language model trained on the supercomputer “Fugaku”
Enhanced Japanese language ability, for use in research and business Today, Fujitsu announced the release of Fugaku-LLM, a state-of-the-art large language model engineered using Japan’s premier supercomputing technology, the RIKEN Supercomputer Fugaku. Developed through a pioneering collaboration among the Tokyo Institute of Technology, Tohoku University, Fujitsu Limited, RIKEN, Nagoya University, CyberAgent Inc., and Kotoba Technologies…
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AmitKumar Shrivastava among 25 AI Visionaries
I got an interesting Tag at my LinkedIn where I read this – “Leading the Charge: The 25 Visionaries at the Helm of Artificial Intelligence” originally published at indiastartuptimes https://indianstartuptimes.com/news/leading-the-charge-the-25-visionaries-at-the-helm-of-artificial-intelligence/. So, the startup times has recognized me one of the 25 AI Pioneers in India. I am happy that they picked me. They have mentioned…
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/. 