Artificial Intelligence in Industry with Dan Faggella

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.

For more insights from AI executives, visit:

TechEmergence.com

Direct download: AI_in_Industry-Rajkumar_Bondugula-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 2:43pm PDT

This week on AI in Industry, we explore IoT security with Bob Baxley (Chief Engineer at Bastille). This includes information on how different IoT security is compared to infosec, the unique challenges IoT security presents (for detecting and scanning wireless network traffic that runs on various protocols and for classifying types of cyberthreats), what the future of IoT security might look like, and how deep learning and machine learning tools can be used to better classify and detect threats and attacks in the cyberspace.

For more insight on the applications of AI in industry, visit:

TechEmergence.com

Direct download: AI_in_Industry-Bob_Baxley-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 5:06pm PDT

In this episode of AI in Industry, we explore how artificial intelligence can be use to manipulate human behavior - in gaming and in business. We explore how game designers use psychology and machine learning to drive their own desired outcomes, leaving users to "feel" in control.

Dr. Charles Isbell teaches machine learning at Georgia Tech. He explores the manipulative elements of game design, and how some of the same AI approaches are likely being used at tech giants like Amazon and Facebook. In this episode you learn how businesses leverage the "illusion of choice" with subtly influential AI techniques. Charles also helps us understand which businesses will be most able to use AI to guide user behavior in the years ahead.

For more interviews about the applications of AI in industry, visit:

www.TechEmergence.com

Direct download: AI_in_Industry-Dr._Charles_Isbell-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 2:24pm PDT

If you combine the hype-factor of both "blockchain" and "artificial intelligence" you often get a supernova of jargon. This week on the AI in Industry podcast, we aim to get beyond the hype to discuss how blockchain might make AI more accessible for small and mid-sized businesses in the years ahead. Dr. Ben Goertzel - CEO of SingularityNET - is our guest this week.

For more expert interviews about the business applications of AI, visit:

TechEmergence.com

Direct download: AI_in_Industry-Ben_Goertzel-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 3:26pm PDT

Expert systems and machine learning are two ends of a spectrum working to solve similar problems quite differently. One one hand you have if-then scenarios and a logical approach, and on the other you have vast neural networks and a big data approach. Some companies exist to try and bridge the gap between the if-then rule systems and the massive piles of data. They hope to find a middle ground of sorts, one that mitigates their individual disadvantages. One such company is Montreal’s fuzzy.ai.

In this episode, we interview its founder, Evan Prodromou about the state of the middle ground, so-called hybrid systems. The middle ground is an elusive, still mostly theoretical concept, but businesses can take steps to prepare for when it becomes accessible to them. What exactly would a hybrid system provide to businesses in terms of automation? How accessible are they now, and what can businesses do to best integrate them when they’re ready? Find out in this episode of the podcast.

For more interviews about the business applications of AI, visit:

www.TechEmergence.com

Direct download: AI_in_Industry-Evan_Prodromou-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 12:01pm PDT

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