Category: Deep Learning
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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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India’s AI Agriculture Outlook for 2026
Recently I got published in The Hindu BusinessLine where I discussed about the India AI outlook for Agriculture in 2026. Below is India’s use of artificial intelligence in agriculture is entering an important phase of maturity. In 2026, the focus is expected to move beyond pilots and isolated experimentation toward questions of integration, reliability, and…
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At 48th Fujitsu Convention
At the 48th annual Fujitsu Convention in Japan, I served as a speaker in the plenary session, presenting on strengthening Fujitsu’s presence in India and why India is increasingly central to global AI capability, digital engineering scale, and innovation ecosystems. I spoken Why India and why it’s unique my version – Democracy, Demography, Diversity, Digital…
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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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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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From shelves to checkouts: computer vision’s role in retail
I have written a piece for PeopleFirst HR Magazine based on their request. You can read the magazine format here . Alternatively, I have put the content here. The retail industry is changing with technological advancements in artificial intelligence (AI). Computer vision, a subset of AI that enables machines to interpret and make decisions based…
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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…
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/. 