From digital twins and contextual AI to graph databases and analytics democratization, many analytics changes are ahead. Todd Blaschka, chief operating officer at TigerGraph, sorts

How the next wave of intelligence will be achieved. Machine learning has come a long way from the 1950s when statistical methods for simple machine

Any organization that aims toward complete digital transformation must move toward Enterprise Data Literacy. “The ability to read, write and communicate data in context, including

As a CDO, you can enable effective monetization of your enterprise data and develop a data-driven culture by paying attention to these four critical areas.

Data is now the most important commodity all businesses possess. Managing what can be vast databases of information needs a new role. The Chief Data

As we start a new decade, the top trends for business analytics platforms are cloud, artificial intelligence, automation, on-device (edge) analytics, and augmentation. Cloud ecosystems

Machine learning can significantly automate generating insights from big data. Here’s how to get started. Implementation of machine learning (ML) is often misunderstood, but knowledge

Every day, humans & machines are successfully investing in contributing 2.5 quintillion bytes of data, it is so much that 90% of the data accretion

For data lakes, as with any valuable enterprise data set, architecture is a requirement. But it is also a moving target, due to ongoing evolution.

When building your data and analytics program, you must decide whether you need a data warehouse, a data lake, or both. Understanding the difference is