AI/ML: easier, faster, and more powerful with cloud

AI/ML in cloud: new scale, new opportunities, new success

AI/ML has been around for decades, but cloud has made it possible for companies to leverage AI/ML in new ways, and on a scale never before possible. In this podcast, David Linthicum talks with Deloitte’s Brijesh Singh about why AI/ML is easier to implement with cloud. The pair also discuss new uses for AI/ML—especially vis-à-vis customer service applications—and what’s in store for the future of AI/ML. Finally, Brijesh gives advice to practitioners who want to acquire AI/ML skills.

Data scientists now can develop [ML] models much more quickly and employ those models much more quickly, generating insights, advising information to you that you can take corrective business actions on.

Brijesh Singh is a member of Deloitte's AI-based initiative. He specializes in strategy and analytics, and his focus is on AI-enabled business transformation, leveraging many tools on the AI spectrum to help organizations achieve their transformation goals.

AI/ML complemented by cloud makes automation faster and easier

The ability for AI to improve customer service continues to gain traction in the market. In fact, automating call-center interactions by replacing human-to-human interaction with human-to-machine interaction has the potential to establish better customer relations and increased trustworthiness.

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AI: What it is, isn’t, and how to succeed at it

AI has the promise to transform business, but only if it's implemented correctly and used effectively–and kept as bias free as possible. So, it's critical to keep humans in control and practice good governance.

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