Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

The uses for machine learning are growing at an unprecedented rate. Yet, as machine learning and its applications advance, the bottlenecks inhibiting its large-scale adoption are becoming clear. A ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Data models attempt to express the business rules of an organization. A good data model reflects the semantics used within an organization to such an extent that business people within that ...

Founder and Managing Principal of DBP Institute. I consult companies on how to transform technology and data into a valuable business asset. Today, every company is looking at data and analytics to ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...