Good data. Great AI. A Tech Leader’s Guide to Solid Data Foundations for AI

The age-old adage “garbage in, garbage out” is particularly apt when applied to AI. AI models, whether for machine learning, natural language processing, or deep learning, rely on vast amounts of data to learn patterns, make decisions, and generate predictions. The better the quality of the data, the better the AI’s performance.

It’s not surprising then that over 75% of organizations state that AI-ready data remains their top investment area over the next two to three years.

But what constitutes “good data,” and why is it so important? Download this guide to learn why successful AI strategies begin with good data and how to optimize your data practices.

Discover:

• The pitfalls of poor data
• Good data governance: The key to AI success
• The role of data engineers in AI success
• Embracing data-driven cultures for AI excellence