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By 2027, half of all business decisions will be augmented or automated by AI agents for decision intelligence. This seismic shift is changing how organisations operate, and AI leaders are under pressure to adapt, innovate, and guide their teams through complexity. Gartner Data & Analytics Summit 2026 is designed to help these leaders meet their biggest challenges head-on.
This year, Gartner is expanding its AI content to ensure attendees have the resources and insights they need to succeed. The summit’s agenda places AI at the forefront, with a track dedicated entirely to artificial intelligence. Sessions will cover everything from AI strategy and responsible AI to risk management, governance, generative AI, large language models, retrieval augmented generation, prompt engineering, and machine learning. Attendees will have the opportunity to learn from experts who understand the nuances of scaling AI, building resilient architectures, and navigating the ethical considerations that come with advanced technologies.
In addition to technical deep dives, the summit introduces a spotlight track focused on AI leadership. The programme is crafted for executives tasked with building world-class AI organisations. It explores real-world use cases, robust delivery models, and the importance of strong governance to ensure safe and scalable operations. The conference recognises that AI agents are not infallible, but with the right knowledge and collaboration, leaders can empower their organisations to make smarter, more confident decisions.
The Gartner Data & Analytics Summit 2026 will take place from March 9 to 11 in Orlando, Florida. Attendees will join a global community of data, analytics, and AI professionals, gaining exclusive access to Gartner’s trusted research, expert insights, and networking opportunities with peers and thought leaders. For AI leaders ready to shape the future, this event offers the clarity, confidence, and connections needed to accelerate innovation and drive impact.
Learn more about the Gartner Data & Analytics Summit and how you can advance your AI strategy here.
Google has rolled out Private AI Compute, a new cloud-based processing system designed to bring the privacy of on-device AI to the cloud. The platform aims to give users faster, more capable AI experiences without compromising data security. It combines Google’s most advanced Gemini models with strict privacy safeguards, reflecting the company’s ongoing effort to make AI both powerful and responsible.
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If you’ve ever thought companies talk more than act when it comes to their AI strategy, a new Cisco report backs you up. It turns out that just 13 percent globally are actually prepared for the AI revolution.
For all the progress in artificial intelligence, most video security systems still fail at recognising context in real-world conditions. The majority of cameras can capture real-time footage, but struggle to interpret it. This is a problem turning into a growing concern for smart city designers, manufacturers and schools, each of which may depend on AI to keep people and property safe.
Adopting AI at scale can be difficult. Enterprises around the world are discovering the pace of AI deployment is frustratingly slow as they face implementation, integration, and customisation challenges. Generative AI is undoubtedly powerful, but it can be complex, particularly for businesses starting from scratch.
The AI adoption in China has reached unprecedented levels, with the country’s generative artificial intelligence user base doubling to 515 million in just six months, according to a report released by the China Internet Network Information Centre (CNNIC).
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