Four Traps to Avoid When Developing Data Products

Jul 03, 2023 by Jay Piscioneri in Reinventing with Data

ABSTRACT:

Developing data products can be challenging. Learn about four traps that can disrupt data product development and how to avoid falling into them.

Should AI Bots Build Your Data Pipelines? Part IV: Guiding Principles for Success with Language Models and Data Engineering

Jul 03, 2023 by Kevin Petrie in Decoding Data Software

ABSTRACT:

This blog recommends guiding principles for successful implementation of language models to assist data engineering.

The Opportunity and Risk of Generative AI Part I: A Nuclear Explosion

Jul 03, 2023 by Dan O'Brien in Guest Blogs

ABSTRACT:

Generative AI has the potential for a positive impact but also poses risks to society and business. Data analytics leaders must understand the risks of generative AI, both societal and business-related, to use it positively and avoid the destructive consequences seen with nuclear energy development.

Modern Data Pipelines: Trends and Tools - Market Landscape Report

Jun 30, 2023 by Kevin Petrie in Decoding Data Software

ABSTRACT:

Learn everything you need to know about modern data pipelines with our innovative multimedia digital publication.

Analyst Series: Governing Costs with FinOps for Cloud Analytics

Jun 28, 2023 by Dan O'Brien in Secrets of Data & Analytics Leaders

ABSTRACT:

Dan O'Brien and Kevin Petrie discuss FinOps, which is a cost governance discipline for cloud-based analytics and operational projects.