Ad Industry Vet Jeremy Fain Hits Airwaves, Launches Podcast with New York Times Best Seller Martin Ford

Hidden Layers Features Foremost Experts in AI, Neural Networks, Deep Learning & Machine Learning

 

New York, NY – October 9, 2018 – Hidden Layers, the new podcast hosted by ad industry veteran Jeremy Fain, launches today with an interview with Martin Ford, a futurist and New York Times bestselling author of Rise of the Robots. Fain, co-founder and CEO of Cognitiv, the first performance marketing company to provide customized neural networks for marketers, discusses with the Ford the tangible impacts that AI, job automation, how it will shape the future of the economy.

Hidden Layers explores the different facets of deep learning, AI, and data-backed insights to understand the implications of each, how they’re evolving, and how they intersect with the art and science of our everyday lives.

“Innovation is no longer solely the domain of humans,” said Fain. “Inventions spurred by AI are already widespread and are no longer dependent on human innovation and population growth. AI is hyper-accelerating the rate of innovation – and with Hidden Layers, we’re going to share insights from those on the bleeding edge of disruptive and revolutionary projects showcasing the computer-processing power and algorithmic capabilities of today.”

Each episode gives listeners access to short, informative breakthrough stories and updates on the latest industry developments from the world’s best and brightest experts in or around the disciplines in their respective fields. The podcast audience consists of professionals that touch every facet of the disciplines covered in each episode including media and marketing executives, data scientists, and engineers.

Featured Hidden Layers interviews include:

Martin Ford : The Future Economy

Jeremy Fain and Martin Ford discuss job automation and the future economy.

Marc Parrish: Marketing Automation

Jeremy Fain and Marc Parrish, investor & advisor at Parrish Advisors and Appfluence Inc,

discuss how Deep Learning is being applied to Marketing Automation.

John Havens: Ethics of AI

Jeremy Fain and John Havens, executive director of The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems, discuss the ethics of AI.

Chris Cunningham: Location Data

Jeremy Fain and Chris Cunningham, active tech startup investor and founder of C2 Ventures discuss how AI and machine learning is being applied to the location based marketing industry.

About Jeremy Fain

Jeremy Fain is a visionary in the field of neural networks and deep learning. With over 20 years of interactive experience, Jeremy has worked across the agency and publisher landscape in roles ranging from marketing, to industry standards, to revenue leadership.

 

In 2015, Jeremy founded Cognitiv with two childhood friends who shared an interest in making deep learning accessible to business. Cognitiv, the technology behind IBM Watson Advertising, is the first neural network technology that unearths patterns of consumer behavior so marketers can accurately pinpoint consumers who want to buy or further engage with their products. As CEO and co-founder of Cognitiv, Jeremy is applying his passion by supercharging deep learning for marketing.

 

Before founding Cognitiv, Jeremy led North American Accounts for Rubicon Project. Jeremy is a regular contributor to Forbes, and has been featured in major media publications, including Adexchanger, Adweek, INC, and The Drum and at various global events including, Advertising Week,  MediaPost Marketing AI, Adexchanger Programmatic I/O, among others.

 

Jeremy holds a bachelors of science in electrical engineering from Yale University and a masters in business administration from Columbia Business School.

Cognitiv Wins Digiday Technology Award for Best Mobile Marketing Platform!

CIO Applications names Cognitiv Top 25 AI Solution Providers

From the article in CIO Applications:

The online advertising market has moved toward programmatic advertising, which is the ability
to make real-time decisions on the purchase and sale of advertising space, to target more
efficient spend. With terabytes of data generated each day, advertisers still do not have an
effective way to take advantage of that data and look for more optimization in their investment
methods.