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:

Overcoming Challenges in Spoken Voice based Natural Language Processing (NLP) for business use 1

Overcoming Challenges in Voice-Based Natural Language Processing (NLP) in Business

Episode Summary: In this episode of AI in industry, we speak with Michael Johnson, the director of research and innovation for Interactions llc, in Boston MA. Michael explores the inbound (human to machine) and outbound (machine to human) applications of voice based natural language processing (NLP) and also talks about attaching a time-frame to how soon small and medium enterprises (SMEs) would have access to this technology in a financially sensible manner.

John-Paul B Clarke and Daniel Faggella

AI for Sales Forecasting – How it Works and Where it Matters

Episode summary: Sales forecasting is big business. If you can better predict how much of a certain product or service you will sell in a given day, you can better stock inventory, better staff your facilities, and ultimately keep more margin in your business's accounts.

Avoiding Common Mistakes in Applying AI to Business Problems - with Jeremy Barnes of Element AI 1

Avoiding Common Mistakes in Applying AI to Business Problems – with Jeremy Barnes of Element AI

Episode summary: This week, AI in Industry features Jeremy Barnes, Chief Architect at Element AI. Jeremy talks about the common mistakes some businesses might make while adopting AI to solve broad business problems. He also sheds light on the problem areas that could raise the market value of businesses through AI adoption, hiring the right talent with the right combination of subject matter expertise and business experience, and the business and technical aspects executives should consider before contemplating the adoption of AI.

AI Recommendation Engines for Big Purchases - Will You Buy Your Home or Car Using AI? 2

AI Recommendation Engines for Big Purchases – Will You Buy Your Home or Car Using AI?

Episode summary: This week, AI in Industry features Dr. David Franke, Chief Scientist at Vast. David talks about how AI can work with scarce transaction data to derive meaningful analytics for big purchases, such as cars and houses. He elaborates on how the AI can glean information from user interaction and marketplace data to provide customers with the relevant product fit, deals and recommendations on big purchases. He also discusses the future trends and business benefits for early adopters of AI for purchase recommendations of high-cost items. 

The Future of Medical Machine Vision - Possibilities for Diagnostics and More

The Future of Medical Machine Vision – Possibilities for Diagnostics and More

Episode Summary: This week’s episode covers the medical applications of machine vision for the diagnosis and treatment of cancer. Medical science has integrated AI since the late 90s, and it’s been useful in the fight against cancer. This week’s guest is Dr. Alexandre Le Bouthillier, founder of Imagia. Imagia is a medical imaging company which specializes in using AI and machine learning to detect cancer in its early stages so that oncologists can make quicker, more accurate diagnoses for patients.

Building and Retaining a Data Science Team

Building and Retaining a Data Science Team

Episode summary: This week on AI in Industry, we speak with Equifax's Dr. Rajkumar Bondugula about how the dynamics, composition and requirements of the data science team have evolved over the years. Raj also shares valuable insights on how to build a robust data science and machine learning team, use its collective intelligence to solve problems, and retain the team by engaging them with the right problems they expect to solve.