In AI, yesterday’s breakthrough is today’s baseline, so AI agents that simply retrieve information are no longer enough. The real game-changer lies in creating AI agents that truly understand your ...

The demand for data continues to grow from inside and outside every organization and from machines now, too. However, having a surfeit of data is not enough. Organizations must solve the complex ...

Cindi Howson at ThoughtSpot proposes an antidote to AI hallucinations Many organisations want Generative AI (GenAI) for its ability to transform industries and automate repetitive enterprise tasks.

Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those ...

I’ve been working with Microsoft BI tools for 28 years now and for all that time Microsoft has been consistent in its belief ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Most organizations are now well into re-platforming their enterprise data ...

Sajal Rastogi from Kyvos Insights explains why he thinks the use of GenAI and semantic layers is a gamechanger for democratising data. Business intelligence (BI) has long held out the promise of a ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Just as we think of autonomous vehicles (AVs) as a machine, so too is enterprise AI. With ...

Early signs point to a paradigm shift in how businesses use static dashboard reporting as their primary source of business intelligence (BI) and whether or not these types of systems will continue to ...

Supply chain disruptions surged 38% in 2024, yet most manufacturers take two weeks to respond when they have just 72 hours to avoid major impact. Semantic intelligence can compress this reaction time ...