AI is being woven into military systems intended to help human commanders make decisions in times of crisis, but there is no real-world data for training machines about nuclear war.

Your AI isn't broken, your data context is; you need solid data engineering to bridge the gap between a smart model and a ...

Most executives assume AI projects fail because the models fall short. In practice, the model is rarely the root cause. It’s a massive red flag for executives spending billions on AI initiatives. If ...

Krishnan said that his firm “consistently” sees underperformance “across all assets”. Image: Solar Media Underperformance at solar projects is a “massive issue” which asset owners are only beginning ...

Sanger sequencing is the unsung workhorse of molecular biology, one whose value has long been undermined by the tedious nature of processing its data. Converting files of raw sequencing data into a ...

Over the past year, robotics and embodied AI have entered the public imagination. Humanoid robots walk more confidently. Manipulation demos look smoother. Perception, navigation and grasping ...

​In practice, climate risk is increasingly a data coordination problem. Signals exist. Forecasts are generated. Early ...

It often starts with a routine request. A regional finance team is preparing consolidated numbers for quarterly reporting. Singapore’s figures arrive first. Australia submits shortly after. But when ...

‘There’s a lot of hype around AI. But let’s face it, most companies haven’t really realized much of a return on their AI investments to date,’ said Qlik CEO Mike Capone. One thing’s for sure about AI: ...

Data can be a precious commodity for an RIA. But like so many raw materials, this highly sought-after resource can become a significant liability if they aren’t used, managed and stored properly. Not ...