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:

Network Intrusion Detection Using Machine Learning 2

Could Swarm Intelligence Be Used to Teach AI?

Episode Summary: It isn’t by chance that birds fly in flocks and fish swim in schools -  they’re actually smarter when they act in a group. Could it be possible to extend that collective intelligence to human beings, and even AI? Louis Rosenberg is a PhD from Stanford, previously founder of Immersion and who now runs Unanimous AI, a company focusing on harnessing swarm intelligence with human beings. In this episode, Rosenberg speaks about how this collective-intelligence approach has been applied to human beings in terms of garnering improvements in a range of predictions, and he also touches on what this type of swarm intelligence might mean when we talk about multiple AI’s in the future.

Network Intrusion Detection Using Machine Learning 1

How Companies Can Get Started Using Machine Learning for Business

Episode Summary: Predictive analytics and machine learning are all the rage in Silicon Valley, but how do companies actually derive value by leveraging these technologies? We asked this question to Dr. Ronen Meiri, CTO and Founder of DMWay, a predictive analytics and machine learning platform company based in Israel. In this episode, Ronen speaks about what his company does and how smart executives are starting to make decisions on how to choose and decide on a smart, user-friendly platform that fits their business' needs.

Network Intrusion Detection Using Machine Learning

The Business Value of Unstructured Data with Loop AI Labs’ Patrick Ehlen

Episode Summary:  Our guest in this episode has spent a large part of his life on figuring out how to make machines more intelligent. Loop AI Labs' Chief Scientist Patrick Ehlen has worked on a number of important projects, from DARPA projects to big-company AI solutions at places like AT&T. Loop AI works on getting AI to make sense and meaning of information the way that humans do, like making meaning of unstructured text. Ehlen talks about the potential business applications for this technology and where it's making way its way into industry. Ehlen also touches on the implications for developers in the nascent AI field - like Loop AI - that are vying to implement its technology as an industry standard, and how such organizations will have to market themselves and deliver services to develop a thriving AI ecosystem.

Why Big Data in Business Still Needs Human Intuition 2

Why Big Data in Business Still Needs Human Intuition

Episode Summary: For some companies, big data remains an abstraction; for others, it's an integral part of the lifeblood of a business. Mat Harris is vice president at Sojern, a travel marketing platform that has leveraged big data to grow $3 billion in bookings and 1/3 of a billion traveler profiles across its platform. In this episode, Harris speaks about how Sojern and other businesses are using a combination of their data and other sources of data (what he calls third and "second" data sources) in order to make informed marketing decisions and better market their services to buyers. Harris sheds light on the direct ROI for big data in different businesses, and it's an interesting episode from the perspective of an executive who is using big data to make decisions on business directions.

Investing in Artificial Intelligence - With Motus Ventures' Robert Seidl 2

Investing in Artificial Intelligence – With Motus Ventures’ Robert Seidl

Episode Summary: Companies looking to raise money are often asking what investors think of their company, their industry, and how they're making investment decisions in related companies. In this episode, I ask these questions of Robert Seidl, who is managing partner of Motus Ventures, an investment firm focusing funding early-stage software companies for autonomous Vehicles and the IoT. Seidl talks about various data sources and the people and networks from which investors draw information when they don’t have what they need on-hand, but need to make important investment decisions. He also shares his perspective on the high-energy and competitive investment world of AI, including his thoughts on the most exciting (and confusing) areas in the industry today.

The Future of Chatbots and Personal Assistants at Nuance's AI Lab 3

The Future of Chatbots and Personal Assistants at Nuance’s AI Lab

Episode Summary: This week's interview was recorded live at Nuance's Silicon Valley office with guest Charles Ortiz, director of the AI and Natural Language (NL) Processing Lab for Nuance Communications in Silicon Valley. In this episode, Ortiz speaks about what he sees as the most important developments in natural language processing (NLP) over the last few years, what advancements brought us to where we are today, and where progress might take NLP in the coming years ahead (both at Nuance and beyond).

Comet Labs' Saman Farid - An Investor's Take on the AI Landscape 2

Comet Labs’ Saman Farid – An Investor’s Take on the AI Landscape

Episode Summary: Fifteen years ago, investing in AI may have seemed a bit far-fetched, but today it's not at all a rare occurrence; however, it's more rare to find entire firms dedicated to investing entirely in AI. In today's episode, we're joined by Saman Farid, co-founder of Comet Labs, an investment firm focused on investment in AI companies across industries. He speaks about his investment hypothesis in the future of AI, why he’s decided to hone his funds in this domain, and the different domains where he believes AI is ripe to disrupt on a global level in the coming few years.

DeepMind's Nando de Freitas - "Why Deep Learning is Like Building with Legos" 2

DeepMind’s Nando de Freitas – “Why Deep Learning is Like Building with Legos”

Episode Summary: One of the most memorable moments from this interview is when our guest mentioned that Larry Page hired him to solve intelligence; very few people can say this, and this says something about today’s guest, Dr. Nando de Freitas - a senior researcher at Google and professor at Oxford - as well as the gravity of his present work. Today, I speak with Nando about a topic well known through his research at Google, deep learning. de Freitas gives his perspective on the basics of deep learning, the applications in conversational interfaces and recognizing images and videos, and what the future of this technology might look like in the nearer future.