The era of AI inference has arrived. Imagine a healthcare system analyzing millions of data points in real time to accelerate life-saving medical research, or an intelligent assistant instantly resolving thousands of complex customer needs at once. These real-world breakthroughs rely on advanced infrastructure acting as the engine of continuous intelligence, powering real-time services while…
Enterprise AI is shifting fast from chatbots that answer questions to systems that actually do the work across an organization. But who will own the AI layer that powers all of it? Glean, which started as an enterprise search product, has evolved into what it calls an “AI work assistant,” aiming to sit underneath other AI […]
AI agents are a risky business. Even when stuck inside the chatbox window, LLMs will make mistakes and behave badly. Once they have tools that they can use to interact with the outside world, such as web browsers and email addresses, the consequences of those mistakes become far more serious. That might explain why the…
Corrupted training data is silently undermining AI investments, leading to inaccurate recommendations that waste resources and erode your competitive edge.
Commodity tokenization lets founders manage real-world asset risks — like energy, metals and fuel — by turning them into flexible, digitally tracked economic interests.