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AI Expo 2026 Day 1: Governance and data readiness enable the agentic enterprise

adoption, ai, AI (Artificial Intelligence), AI Business Strategy, ai expo, AI Market Trends, Artificial Intelligence, data, enterprise, Features, governance, Governance, Regulation & Policy, How It Works, infrastructure, Infrastructure & Hardware, Inside AI, TechEx Events

While the prospect of AI acting as a digital co-worker dominated the day one agenda at the co-located AI & Big Data Expo and Intelligent Automation Conference, the technical sessions focused on the infrastructure to make it work. A primary topic on the exhibition floor was the progression from passive automation to “agentic” systems. These […]

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Databricks: Enterprise AI adoption shifts to agentic systems

adoption, agentic ai, agents, ai, AI (Artificial Intelligence), AI and Us, AI Business Strategy, AI Market Trends, Artificial Intelligence, automation, databricks, enterprise, Features, governance, Governance, Regulation & Policy, infrastructure, Inside AI, Special Reports & Series, strategy, World of Work

According to Databricks, enterprise AI adoption is shifting to agentic systems as organisations embrace intelligent workflows. Generative AI’s first wave promised business transformation but often delivered little more than isolated chatbots and stalled pilot programmes. Technology leaders found themselves managing high expectations with limited operational utility. However, new telemetry from Databricks suggests the market has

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The quiet work behind Citi’s 4,000-person internal AI rollout

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, banking, data analysis, Features, Finance AI, infrastructure, Research, Workforce & HR AI, World of Work

For many large companies, artificial intelligence still lives in side projects. Small teams test tools, run pilots, and present results that struggle to spread beyond a few departments. Citi has taken a different path, where instead of keeping AI limited to specialists, the bank has spent the past two years pushing the technology into daily

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JPMorgan Chase treats AI spending as core infrastructure

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, banking, Features, Finance, Finance AI, governance, Governance, Regulation & Policy, infrastructure, Infrastructure & Hardware, Inside AI, World of Work

Inside large banks, artificial intelligence has moved into a category once reserved for payment systems, data centres, and core risk controls. At JPMorgan Chase, AI is framed as infrastructure the bank believes it cannot afford to neglect. That position came through clearly in recent comments from CEO Jamie Dimon, who defended the bank’s rising technology

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Signals for 2026

ai, AI (Artificial Intelligence), AI & ML, Artificial Intelligence, data, deep dive, infrastructure, operations, Security, Software Architecture, software development

We’re three years into a post-ChatGPT world, and AI remains the focal point of the tech industry. In 2025, several ongoing trends intensified: AI investment accelerated; enterprises integrated agents and workflow automation at a faster pace; and the toolscape for professionals seeking a career edge is now overwhelmingly expansive. But the jury’s still out on

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Bosch’s €2.9 billion AI investment and shifting manufacturing priorities

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, AI Market Trends, Artificial Intelligence, Deep Dives, Featured, Features, infrastructure, Infrastructure & Hardware, Inside AI, manufacturing, Manufacturing & Engineering AI, supply chain

Manufacturing factories are producing more data than they can easily process, and companies like Bosch are turning to AI to close that gap. Cameras watch production lines, sensors track machines, and software records each step of the process. However, much of that information still does not lead to faster decisions or fewer breakdowns. For large

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Agentic AI scaling requires new memory architecture

agentic ai, agents, ai, AI (Artificial Intelligence), AI Hardware & Chips, Artificial Intelligence, Deep Dives, Features, How It Works, infrastructure, Infrastructure & Hardware, Inside AI, Memory, nvidia

Agentic AI represents a distinct evolution from stateless chatbots toward complex workflows, and scaling it requires new memory architecture. As foundation models scale toward trillions of parameters and context windows reach millions of tokens, the computational cost of remembering history is rising faster than the ability to process it. Organisations deploying these systems now face

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George Osborne joins OpenAI: ex-chancellor adds tech post to his CV

Artificial Intelligence, Artificial intelligence (AI), Business, ChatGPT, Computing, George Osborne, infrastructure, OpenAI, Politics, Technology, Technology sector, UK news

Former Tory chancellor tasked with helping ChatGPT owner develop ties with governmentsThe former UK chancellor George Osborne is joining OpenAI to lead the ChatGPT developer’s relationships with governments around the world.He will head a division known internally as OpenAI for Countries, through which the San Francisco artificial intelligence startup works with governments on national-level AI

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AWS re:Invent 2025: Frontier AI agents replace chatbots

agentic ai, agents, ai, AI Business Strategy, AI Hardware & Chips, amazon web services, Artificial Intelligence, aws, chatbots, cloud, compute, enterprise, frontier ai, governance, Governance, Regulation & Policy, hardware, How It Works, infrastructure, Inside AI, re:invent, sovereignty, World of Work

According to AWS at this week’s re:Invent 2025, the chatbot hype cycle is effectively dead, with frontier AI agents taking their place. That is the blunt message radiating from Las Vegas this week. The industry’s obsession with chat interfaces has been replaced by a far more demanding mandate: “frontier agents” that don’t just talk, but

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Helping power-system planners prepare for an unknown future

Artificial Intelligence, Climate change, Computer modeling, Electric grid, Emissions, Energy, Energy efficiency, infrastructure, Invention, MIT Energy Initiative, MIT Sloan School of Management, Open Source, Policy, Research, Technology and policy

A new computer modeling tool developed by an MIT Energy Initiative (MITEI) research team will help infrastructure planners working in the electricity and other energy-intensive sectors better predict and prepare for future needs and conditions as they develop plans for power generation capacity, transmission lines, and other necessary infrastructure. The tool could reduce the amount

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