AI Today Podcast

The use of Artificial Intelligence (AI) is everywhere and in all industries. In this podcast, we interview long-time AI researcher and thought leader Dragos Margineantu, AI Chief Technologist at Boeing, who shares with us how Boeing is using AI and Machine Learning (ML) for its operations, manufacturing, supply chain, and Internet of Things (IoT) interactions and some thoughts on what the future of autonomous aircraft might be.Continue reading AI Today Podcast #38: Interview with Dragos Margineantu, Boeing at Cognilytica.

Ever wonder how fully autonomous vehicles at Level 5 on the Society of Automotive Engineers (SAE) classification will impact your life? How will the way you live, work, interact socially, and care for the needy, disabled and elderly change when vehicles that can drive themselves safely from point to point and be beckoned at any time become prevalent?Continue reading AI Today Podcast #37: Life with Level 5 Autonomous Vehicles at Cognilytica.

Companies of all sorts are increasing their investment in AI. Toyota has a wide range of applications of AI, so it’s no surprise that they are interested in helping to spur further growth in the industry by investing in early stage startups that are focused on AI and Machine Learning technology. In this podcast, we interview Jim Adler, Founding Managing Director, of Toyota AI Ventures.Continue reading AI Today Podcast #36: Interview with Jim Adler, Toyota AI Ventures at Cognilytica.

In this wide ranging podcast, hear from Professor Tom Davenport, Distinguished Professor at Babson College, fellow of MIT initiative on digital economy, and senior advisor to Deloitte’s Analytics & AI practice. Tom Davenport recently wrote a piece for the Harvard Business Review on “Artificial Intelligence for the Real World”, as well as the widely promoted “Data Scientist: The Sexiest Job of the 21st Century”.Continue reading AI Today Podcast #35: Interview with Tom Davenport, Babson College, MIT, and Deloitte — Augmented Intelligence, GDPR, Data Science, and More at Cognilytica.

Occupational fraud is not a small issue. On average, a company loses 5% of its revenues to employee financial fraud each year, with the annual median loss at $140,000 and over 20% of companies reporting losses of $1 million or more. The key to keeping a lid on this fraud is identifying the fraud before it takes too much of a bite out of the company’s bottom line, or even further, to put processes and controls in place that automatically audits, monitors, and accepts or rejects transactions that don’t fit an recognized pattern.Continue reading AI Today Podcast #34: Interview with Anant Kale, AppZen — Preventing Employee Expense Fraud with AI at Cognilytica.

For our podcast listeners and followers, we have a special treat for you on this podcast. Be our special virtual guest and listen to an expert panel from the Conference on Technology and Future Economy 2018 talk about AI and Blockchain. Moderated by Professor Jim Liew (Johns Hopkins University), panelists were Reem El Seed (Deloitte), Kathleen Walch(Cognilytica), Jose Arrieta(US Department of Health & Human Services [HHS] formerly with the General Services Administration [GSA]), David Martens (Dovel Technologies), and Michael Novak (DTP).Continue reading Bonus AI Today Podcast: AI & Blockchain Panel from TFE 2018 Event at Cognilytica.

How exactly do you define intelligence? Professor Alex Wissner-Gross, President and Chief Scientist at Gemedy and Fellow at Harvard Institute for Applied Computational Science has an answer. In this podcast, we interview Professor Wissner-Gross not only about his equation for defining intelligence, but also his thoughts that we need new challenges around data sets, as he believes data sets will get us to our goals of intelligence over algorithms.Continue reading AI Today Podcast #33: Interview with Prof. Alex Wissner-Gross — The Definition of Intelligence at Cognilytica.

Understanding Artificial Intelligence (AI) and all its various details including Machine Learning (ML) and Deep Learning is not easy. So it’s always a great delight when someone like Siraj Raval can explain these concepts and work through them in a practical way on his YouTube channel, and his new School of AI. In this podcast, we talk about the importance of data for AI, his thoughts on the future of AI, the connection between AI and blockchain, China’s adoption of AI, and the role of ML and other concepts within the larger strategy of AI.Continue reading AI Today Podcast #32: Interview with Siraj Raval – School of AI, YouTube Celeb at Cognilytica.

One of the other trends making the news and getting lots of attention is Blockchain. Proponents of blockchain claim that it will have fundamental, ground-breaking impact on all industries, changing the way that we transact with one another. Blockchain will enable greater degrees of transparency, trust, and decentralized control where governments and companies can’t own or manipulate the data at their will.Continue reading AI Today Podcast #31: AI and Blockchain — Double the Hype or Double the Value? at Cognilytica.

Every once in a while we have a podcast interview with someone that really makes us rethink some of the popular positions in Artificial Intelligence (AI) and Machine Learning (ML). This podcast’s interview with Luis Perez-Breva, faculty director of innovation teams at MIT’s School of Engineering and working with MIT Sloan School of Management, was one of those that really got us thinking about the relationship between data and Machine Learning and between Machine Learning and AI.Continue reading AI Today Podcast #30: Interview with MIT Professor Luis Perez-Breva — Contrary Perspectives on AI and MLInterview with MIT Professor Luis Perez-Breva — Contrary Perspectives on AI and MLAI Today Podcast #30: Interview with MIT Professor Luis Perez-Breva — Contrary Perspectives on AI and ML at Cognilytica.