Dive deep into AI with data-fitness

In the AI era, the perils of subpar data quality are becoming clear to businesses. The principle of garbage-in, garbage-out is increasingly critical. This e-book delves into securing AI-grade data fitness to prevent inaccurate AI predictions, biased results, and reduced performance.

Key topics include:

Five pillars of data fitness: strength, precision, agility, efficiency, and speed
Risks of AI deployment without solid data management: security issues, compliance threats, and squandered resources
Case studies of AI projects at leading firms hindered by poor data quality
And more

Read the full e-book now to discover how you can craft a robust data management strategy for AI.

Vendor:: Hitachi Pentaho
Posted:: Aug 8, 2024
Published:: Aug 15, 2024
Format:: PDF
Type:: eBook

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