At last week’s Google Cloud Summit in London, two top database executives—Sailesh Krishnamurthy (engineering VP) and Yasmeen Ahmad (head of Agentic Data Cloud)—sat down with us to sketch out a very different future for how we’ll interact with data. Their big prediction? In three to five years, humans won’t be clicking around data platforms anymore. […]
Early enterprise AI projects were held back by limited model capabilities and tiny context windows. Today, those technical barriers are mostly gone. AI systems can process massive amounts of information, and access to powerful models is no longer the bottleneck. But here’s the catch: performance hasn’t improved at the same rate. Many companies still struggle […]
AI has moved from novelty to everyday use. The conversation has shifted from whether AI will be adopted to whether it will be used well. Success with AI depends less on how quickly tools are introduced and more on how people experience, understand, and apply them in their work. This has brought new attention to […]
AI-assisted engineering workflows have made one thing clear: model capability is only part of the solution. The real impact happens when AI operates within the systems where work actually gets done. While a large language model (LLM) can summarize requirements, suggest test coverage, or generate automation logic, it often can’t work effectively across the various […]
AI agents are easy to pilot. But when you try to move from experiment to production, progress stalls – because the hard part isn’t “more AI,” it’s the platform that must run AI reliably. 88% of organizations now use AI in at least one business function (compared to 55% in 2024). At the same time, […]