An app that helps people and teams in the working world simplify their to-do lists — ideally by organizing and doing some of ...

How does the journey to a knowledge graph start with unstructured data—such as text, images, and other media? The evolution of web search engines offers an instructive example, showing how ...

LinkedIn, for example, uses a knowledge graph to structure and interconnect data about its members, jobs, titles, and other entities. It uses its knowledge graph to enhance its recommendation ...

Blue Yonder’s latest product updates are a culmination of work that’s been happening behind the scenes. The foundations are ...

To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems. Yet standard enterprise data stores aren't a good fit to train large ...

If it’s asked about a recent news event, for example, it will search the Knowledge Graph for the most recent updates, extract the most relevant data, and cite the sources of that information to ...

With AI creating a need for knowledge engineering, information science (as we used to call it) has come full circle. It comes ...

Data, of course, plays a key role in fueling AI, which performs most effectively and delivers the greatest value when fed ...

The future of code search lies in multi-hop reasoning, a sophisticated approach that mirrors how expert developers actually ...