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Investment in machine learning and AI technologies has increased rapidly and is predicted to grow even more moving forward. In fact, McKinsey suggests that by 2030, 70% of businesses will have adopted at least one form of AI.

But despite the rising popularity of these technologies, 65% of executives worldwide report that they are not yet seeing value from their AI investments. So, what is causing the gap between promise and delivery?

The problem is rooted in inefficient data processes that restrict organizations’ ability to fully leverage their data and technology. Read on to understand why organizations need to build more flexible data processes that can provide a solid foundation for advanced analytics.

Vendor:

Teradata

Posted:

Jun 19, 2023

Published:

Jun 20, 2023

Format:

HTML

Type:

White Paper