Blog Posts: Data

In Part 3 of “Machine Learning Lifecycle,” the author explores the nuts and bolts of data collection, from defining data sets to data splits.

This Breakthrough Conversation with Liz Marsh explores the critical nature of data quality, the common obstacles organizations face in preserving it, and the future of data management.

In the third installment on our series exploring the biggest obstacles data and analytics organizations face today and ways to overcome them, we discuss data and technology challenges.

The fundamental problem with most analytics initiatives is that they are often undertaken in an under-characterized context. Get to know your firm’s information economy to make progress in AI.

We now know technology alone isn’t the solution and are led to think that culture is the biggest obstacle to analytics adoption. But that’s a sloppy excuse. Read why.