AI Podcast Interviews Articles and Reports

Our podcast interviews feature the best and brightest executives and researchers in artificial intelligence today, and each episode highlights current and near-term AI use-cases of value for business leaders. Explore our full list of AI podcast episodes below:

A Framework for Long-Term and Near-Term AI ROI

A Framework for Long-Term and Near-Term AI ROI

We spoke with David Carmona, the GM of Artificial Intelligence at Microsoft about his approach to AI ROI with the enterprise clients he works with at Microsoft. The biggest takeaway from this episode comes right at the beginning. David talks about how to think about artificial intelligence ROI in the long-term and the near-term.

Electrical Considerations for Artificial Intelligence Solutions

What Does it Take to Power Artificial Intelligence Systems and GPUs?

It's clear that there's a revolution in how artificial intelligence is done with neural networks as opposed to the old school systems of the '80s and the '90s. It's clear that hardware is beginning to evolve, and it's also quite clear that the way that we power these hardware systems is going to have to change.

Software Defined Compute - Possibilities and Advantages in Machine Learning

Software Defined Compute – Possibilities and Advantages in Machine Learning

We spoke with Jonathan Ross, CEO and founder of Groq, an AI hardware company, about software defined compute. This interview is part of a series we did in collaboration with Kisaco Research for the AI Hardware Summit happening in Mountain View, California on September 17 and 18. 

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Processing AI at the Edge – Use-Cases and AI Hardware Considerations

We spoke to Moe Tanabian, General Manager of Intelligent Devices at Microsoft, who is speaking at the AI Edge Summit in Mountain View, California on September 17 and 18. Tanabian discusses how to think about and reframe business problems to make them more accessible for AI, as well as AI at the edge, which involves doing AI processing on individual devices rather than in the cloud. The edge could open up new potential for business problems to be solved with AI. Tanabian also provides representative use cases of intelligent devices.

AI for Customer Experience in Banking – Critical Trends and Challenges

AI for the Customer Experience in Banking – Critical Trends and Challenges

Since the advent of online banking services, customers have had several different ways of communicating with their banks. Banks need to monitor all of these incoming customer requests and respond to them in the most efficient way possible. Further, each of the various channels of communication represents a valuable way to segment customers to not only improve how they perceive a bank’s brand but also to market banking products to them better.

How to Get Started with AI – Best Practices from 4 Industry Experts

How to Get Started with AI – Best Practices From 4 Industry Experts

Although there are established use-cases for AI applications in the business world, the claims that AI vendors make about returns from their software are often exaggerated. What is also not apparent amongst the AI hype is that adopting AI and machine learning is far more challenging than it might seem.

Critical Questions to Ask Before Adopting Artificial Intelligence – with David Carmona of Microsoft

Critical Questions to Ask Before Adopting Artificial Intelligence – with David Carmona of Microsoft

This week we speak with David Carmona, General Manager of AI at Microsoft. Carmona discusses how redefining a business process is a very different kind of AI adoption project than working on something that is horizontal.

AI and Financial Risk Management - Critical Insights for Banking Leaders

AI and Financial Risk Management – Critical Insights for Banking Leaders

Our research indicates that AI applications for risk-related banking functions are more numerous than applications for other business areas. Fraud and Cybersecurity, Compliance, Loans and Lending, and Risk Management collectively made up 56% of the AI vendor products in the banking industry, as shown in the graph below: