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:

Eliot Knudson Tamr Interview

Tamr’s Eliot Knudsen on the Automation of Procurement

Procurement isn't usually seen as a "sexy" aspect of a business's operations. Procurement personnel are responsible for sourcing suppliers or vendors, determining criterion of success, negotiating deal terms, and tracking results and deliverables - all of which could be considered "under appreciated" work. This week, Tamr's Eliot Knudsen walks us through the ways that AI is making it's way into the procurement process, and what it means for the future of this job function.

AI Use-Cases in the CRM - with Bastiaan Janmaat of DataFox 1

AI Use-Cases in the CRM – with Bastiaan Janmaat of DataFox

This week we speak with Bastiaan Janmaat (CEO and co-Founder of DataFox) about the current and future applications of artificial intelligence in the CRM.

Surviving the Machine Age - Technological Job Loss with Kevin LaGrandeur

Surviving the Machine Age – Technological Job Loss with Kevin LaGrandeur

Artificial intelligence is coming - should be worried about our jobs? Well, it depends. Our guest Dr. Kevin LaGrandeur spent the last two years researching the impacts of automation and artificial intelligence on society and the job market. In this interview on AI in Industry, we explore the near future of AI's impact on the world of work, and I ask Kevin some important questions, including:

Might AI Need Standards to Scale? - with Konstantinos Karachalios of the IEEE

Might AI Need Standards to Scale? – with Konstantinos Karachalios of the IEEE

Though we don't think about it on a daily basis - the technologies around us often "work" because of an underlying standard that they depend on. These technologies include: Wifi, ethernet, fax, and much of the internet itself. Do certain AI applications need their own set of standards in order to scale?

Predii - Predictive Maintenance for Equipment and Machinery - with Tilak Kasturi

Predictive Maintenance for Equipment and Machinery – with Predii’s Tilak Kasturi

It would be great if instead of having our car break down - could have them fixed as soon as the underlying problem began. It would be great if instead of having to diagnose a malfunctioning piece of mechanical equipment - would could have the right "fix" presented to us immediately. As it turns out, artificial intelligence may be working its way to accomplish both of those goals in the not-so-distant future.

Lior Tasman - Artificial Intelligence and the Future of Programmatic Advertising

Artificial Intelligence and the Future of Programmatic Advertising

Episode summary: In this episode we talk to Lior Tasman who is the CEO of PredictiveBid, an Israeli-based predictive advertising optimization start-up. The team focuses on applying AI to some of the bigger issues in programmatic advertising to help draw out more ROI from ads. We discuss some of the challenges of programmatic advertising and what the future of programmatic advertising may look like from an advertiser’s perspective.

AI for Real-Time Personalization - with LiftIgniter's Adam Spector

AI for Real-Time Personalization – with LiftIgniter’s Adam Spector

Episode summary: In this episode we talk to Adam Spector, the Co-Founder & Chief Business Officer at LiftIgniter, a company which provide a service which modulates website experience per users, for an array of different businesses. Adam and I discuss what the tech giants are doing to customize their business experiences, what data they’re using to continually alter user experience and what industries and sectors might be impacted by this aggregate trend as it moves forward.

Bringing AI into an Old, Large, Existing Business - with Muriel Serrurier Schepper of Rabobank

Bringing AI into an Old, Large, Existing Business – with Muriel Serrurier Schepper of Rabobank

Episode summary:  Imagine you work in a large organization with tens of thousands of employees across multiple countries, a business that’s been around for over a hundred years, and all of a sudden you have people in one department who are interested in applying chatbots, colleagues in another department who wish to implement sentiment analysis and still another department that wants to begin using AI for fraud and risk analysis. How do you manage to put all these pieces together?