It may be a stretch to call data science commonplace, but the question “what’s next” is often heard with regard to analytics. And then the conversation often turns straight to Artificial Intelligence ...

As system architecture moves to the cloud, understanding the impacts of new code releases and points of failure requires a whole new approach. The increase in agility, bandwidth, and security has been ...

Data science and machine learning are often associated with mathematics, statistics, algorithms and data wrangling. While these skills are core to the success of implementing machine learning in an ...

Having data scientists collaborate with devops and engineers leads to better business outcomes, but understanding their different requirements is key Data scientists have some practices and needs in ...

7 big data goals for 2021: AI, DevOps, hybrid cloud, and more Your email has been sent Image: iStockphoto/metamorworks Must-read big data coverage What Powers Your ...

iRobot has used its new design, software, and data science strategies to expand into new areas, using an approach to the smart home that is different from its big tech rivals. This download provides ...

IT is undergoing a period of rapid change, as traditional on-premises data centres move from hosting siloed client/server applications on often-underutilised physical hardware to running cloud-native ...

Watching iRobot's new vacuum tag-team with the company's latest robot mop to clean a room is to glimpse a Jetsons-like orchestration of the home of the future. Seeing the two working together shows ...