Refining the Right Fuel: How Data Integration Drives the AI/ML Model Lifecycle

Sep 04, 2024 by Kevin Petrie in Decoding Data Software

ABSTRACT:

Data teams must filter, blend, and refine raw data inputs to create the high-octane fuel that drives innovation with artificial intelligence and machine learning (AI/ML).

Webinar: Self-Service - How to Become a Data-Driven Organization

Sep 02, 2024 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

In this webinar, Eckerson discusses how to design a data environment that empowers business users without creating chaos. The key is to design the right operating model, a disciplined data architecture, a robust data governance program, a multi-tiered training and support, and yes, of course,...

Slides: Self-Service - How to Become a Data-Driven Organization

Sep 02, 2024 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

In this webinar, Eckerson discusses how to design a data environment that empowers business users without creating chaos. The key is to design the right operating model, a disciplined data architecture, a robust data governance program, a multi-tiered training and support, and yes, of course,...

Unveiling the Future of Data Catalogs

Aug 26, 2024 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

With numerous data catalog options available, all claiming to be the best, how do you make an informed decision without exhaustive research?

Multi-Style Data Integration for AI/ML: Three Use Cases

Aug 26, 2024 by Kevin Petrie in Decoding Data Software

ABSTRACT:

This blog describes the need for data teams to establish a flexible yet well-governed data architecture to support dynamic AI/ML projects.