An Operating Model for Data & Analytics Part II: Knowledge Flows

Oct 18, 2022 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

Hybrid development teams are critical to the success of a data & analytics program. Data leaders need to nurture these teams with knowledge flows.

Fixing Metadata’s Bad Definition

Oct 18, 2022 by Jay Piscioneri in Reinventing with Data

ABSTRACT:

“Metadata is data about data” is a bad definition. It’s vague and recursive. How can we manage metadata if we can’t even define it clearly?

Synthetic Data for AI: Definition, Risks, and Strategies

Oct 11, 2022 by David Hendrawirawan in Guest Blogs

ABSTRACT:

Many machine learning projects fail because data scientists don’t have the right data. Techniques such as synthetic data is a novel algorithmic approach to address algorithmic risks.

Webinar: Data Access Management: Balancing Data Access and Data Security

Oct 11, 2022 by Jay Piscioneri in Reinventing with Data

ABSTRACT:

Data access management solutions dynamically evaluate every data request against applicable access policies at runtime to determine what data the requester can see.

A Thoughtful Approach to Data Mesh

Oct 11, 2022 by Dave Wells in Data Management

ABSTRACT:

Data Mesh gets a lot of discussion. Some see it as revolutionary—the first new data architecture thinking in years. Others view it as a dangerous backward slide to the chaos of data silos. The reality lies somewhere between—a big shift in architecture thinking with some inherent risk.