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:

Using NLP for Customer Feedback in Automotive, Banking, and More
Customer service
Finance
Security
Transportation

Using NLP for Customer Feedback in Automotive, Banking, and More

Episode Summary: Natural language processing (NLP) has become popular in the past two years as more businesses processes implement this technology in different niches. In inviting our guest today, we want to know specifically which industries, businesses or processes NLP could be leveraged to learn from activity logs.
Emotional AI
Automation and robotics
Consumer goods
Marketing and advertising
Transportation

Can Businesses Use “Emotional” Artificial Intelligence?

Episode summary: This week on AI in Industry, we speak to Rana el Kaliouby, Co-founder and CEO of Affectiva about how machine vision can be applied to detecting human emotion - and the business value of emotionally aware machines.

Better Than Elasticsearch? How Machine Learning is Improving Online Search 1
E-commerce
Consumer goods
Marketing and advertising
Media

Better Than Elasticsearch? How Machine Learning is Improving Online Search

Episode summary: In this episode of AI in Industry, we speak with Khalifeh Al Jadda, Lead Data Scientist at CareerBuilder, about the applications of machine learning in improving a user’s search experience.
AI Use-Cases for the Future of Real Estate
Customer service
Finance

AI Use-Cases for the Future of Real Estate

Episode summary: In this episode of AI in Industry, we speak with Andy Terrel, the Chief Data Scientist at REX - Real Estate Exchange Inc., about how AI is being used in the real estate sector today.

High Performance Computing in Artificial Intelligence Applications with Paul Martino from Bullpen Capital
AI Podcast Interviews

High Performance Computing in Artificial Intelligence Applications with Paul Martino from Bullpen Capital

Episode summary: Here on the AI in Industry podcast, we’ve heard AI experts explain how high-performance computing (HPC) has enabled everything from machine vision to fraud detection. In this week’s episode, we speak with Paul Martino, Managing Partner at Bullpen Capital, about which industries and AI applications will require high-performance computing most.
Machine Learning for Credit Risk - What's Changing, and What Does it Mean?
Business intelligence and analytics
Finance
Security

Machine Learning for Credit Risk – What’s Changing, and What Does it Mean?

Episode summary: In this episode of AI in Industry, we speak with Dr. Sanmay Das from the Washington University in St. Louis about risk prediction and management in industries like banking, insurance and finance.
Achieving Intelligent Automation - Leveraging IoT Data from Automated Systems
Automation and robotics
Business intelligence and analytics
Data management

Achieving Intelligent Automation – Leveraging IoT Data from Automated Systems

In this episode of AI in Industry, we speak with Brendan Kohler, the CTO of Co-founder of Boston-based startup Sentenai. Brendan speaks about how businesses today can effectively leverage the data being collected by their existing IoT and automation systems. Though example applications and use-cases, Brendan elaborates on what kinds businesses might use this technology today and what they can expect in the near future.

Applications of Machine Vision in Heavy Industry
Business intelligence and analytics
Heavy industry
Process automation

Applications of Machine Vision in Heavy Industry – Telecom, Transportation, and More

Episode summary: In the last two or three years we at Emerj have witnessed a definite uptick in AI applications like predictive maintenance and heavy industry. Many exciting business intelligence and sensor data applications are making their way into “stodgy” industries like transportation, oil and gas, and telecom - where machine vision has countless applications.