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:

The State of Natural Language Processing in the Sales Process

The State of Natural Language Processing in the Sales Process

Episode Summary: Sales is a big part of any sort of B2B firm. We speak this week with Micha Breakstone, co-founder of Chorus.ai. He holds a PhD in Cognitive Sciences from the Hebrew University in Jerusalem, and prior to starting his own company, he studied for a few years at MIT and was working on natural language processing at Intel.

AI for Contract Analysis in the Enterprise

AI for Contract Analysis in the Enterprise

Episode Summary: Close to a year ago, we had an interview here on the AI in Industry podcast with Jeremy Barnes of Element AI. We visited their headquarters in Montreal, and we'd interviewed Yoshua Bengio a couple years before that.

Computer Vision for Medical Diagnostics in the Chest Area

Computer Vision for Medical Diagnostics in the Chest Area

Episode Summary: Recently, we were called upon by the World Bank to do a good deal of research on the potential of applying artificial intelligence to health data in the developing world. Diagnostics was a very big focus of the information that we presented. It appears as though diagnostics is an area of great promise with regards to AI, and that's what we're focusing on in this episode the podcast.

How AI Will Become More Accessible to Retailers

How AI Will Become More Accessible to Retailers

Episode Summary: Artificial intelligence plays a role in the future of retail in terms of a deeper understanding of customers going beyond intuition. This week, we speak with Pedro Alves, CEO of a company called Ople, based in San Francisco. Alves was previously the Head of Data Science at a number of companies in addition to being Director of Data Science at Sentient Technologies, one of the best known AI firms in the Bay Area. Sentient has raised upwards of $200 million.

Machine Learning for Decision Support in Tax and Accounting

Machine Learning for Decision Support in Tax and Accounting

Episode Summary: Many machine learning applications in business can be boiled down to some form of decision support. There are big decisions like deciding whether or not to merge or acquire another company, and there might be smaller decisions like whether or not a tumor has enough traits that make it seem like it's worth a surgical procedure or if it's worth leaving alone.

Data Challenges in the Defense Sector

Data Challenges in the Defense Sector

Episode Summary: This week, we're going to be talking about the defense sector. We interview Ryan Welsh, CEO of Kyndi, a company working on explainable AI. We focus specifically on the unique data challenges of the defense industry, as well as the general use case of AI in defense writ large. Many of the challenges that the defense sector has to deal with transfer to other spaces and sectors. Business leaders that deal with extremely disjointed text information, what is sometimes called "dark data," and information in various languages or different dialects, will be able to resonate with some of the unique challenges talked about in this episode, and maybe even gain some insights for how to handle them.

What It Looks Like to Be Ready for AI Adoption in the Enterprise

What It Looks Like to Be Ready for AI Adoption in the Enterprise

Episode Summary: Whether we're talking about customer service, marketing, or building developer teams, what we try to do on our AI in Industry podcast is bring to bear lessons that are transferable. There are few more transferrable ideas than what makes a company ready to adopt AI. When it comes to the willingness and the ability to integrate AI into a company strategy and to fruitfully adopt the technology to really see an ROI, what do the companies that do so successfully have in common? What do the companies that are not ready or too fearful to do it have in common?

AI for Inventory Optimization in Retail

AI for Inventory Optimization in Retail

Episode Summary: This week we talk to Alejandro Giacometti, the data science lead at a company called EDITED, based in London. The company claims to help retailers with inventory optimization, and we speak with Giacometti about how artificial intelligence can be used to search the web for the product clusters and individual products of major retailers to help inform other retailers on which products might be popular.