Effective AI implementation: strategies for enterprise success [Video]

Artificial intelligence is changing the world, but for effective AI implementation, businesses must transition from proof-of-concept to full-scale production.

Organizations are eagerly exploring this potential, but many need help with the path to realizing meaningful returns on investment. The complexity of transitioning AI initiatives from POC to full-scale production is a significant factor contributing to these struggles, according to Martin Willcox (pictured), senior vice president of worldwide industry and analytics at Teradata Corp.

“There are a lot of organizations that are struggling to know where to start and a lot of organizations struggling to know really how to deliver return on investment from their investments in AI and machine learning,” Willcox said. “So, really, the thrust of [this morning’s ‘Load the Dice’] presentation was [that] right now, failure rates are pretty high. We can debate exactly how high, depending on which study you trust, but they’re pretty high.”

Willcox spoke with theCUBE Research’s Rob Strechay and co-host Savannah Peterson…