Artificial Intelligence in Industry with Dan Faggella (big data)

In this episode, we speak with Senior Editor for the Economist in digital and data products and Co-author of "Big Data: A Revolution that Will Transform How We Work, Live and Think", Kenneth Cukier, who speaks on the technologies that underlie big data and make it what it is today. Cukier addresses common misconceptions about machine learning and dives into how companies can catch up with this technology by thinking through, assessing ROI, and making sense of the dynamics of big data. Listen for Cukier's apt analogy in comparing machine learning technology to the dynamics of computing from decades ago.

Direct download: TEP-Kenn_Cukier-Mixdown.mp3
Category:Big Data -- posted at: 5:00pm PST

Why Big Data in Business Still Needs Human Intuition

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.

Direct download: Mat_Harris_Mixed.mp3
Category:Big Data -- posted at: 11:50am PST

How Business Event Data and Predictive Analytics Help Deliver Better ROI

A lot of companies in the San Francisco Bay make the claim that they can do something great with data; many fewer are at a degree of scale to make this vision possible. Today we speak with Nicholas Clark, CEO of DoubleDutch, a company now powering thousands of events nationally and implementing machine learning into their operations, including predicting business results from actual attendees. DoubleDutch is at the beginning of its journey with predictive analytics, having to make hard choices around what sort of information and thought processes they need in order to use machine learning and remain profitable. Nicholas gives his perspective on these decisions, as well as how he thinks DoubleDutch’s efforts will impact the conference/event industry at scale.

Direct download: Nicholas_Clark.mp3
Category:Big Data -- posted at: 6:30pm PST

Predictive Analytics Offers Customized Solutions to Complex Problems

The artificial intelligence field is normally seen as burgeoning and new, populated with lots of small, scrappy companies aiming to become the next de-facto solution, with maybe one exception - “Big Blue”. IBM has been involved since the ‘beginning’ and is perhaps best known for Watson, which has from Jeopardy to a range of applications in small and big businesses, as well as the public sector. Swami Chandrasekaran is chief technologist of industry apps and solutions for IBM, and he speaks in this episode about what he sees as some of the low-hanging fruit for applying predictive models to business data. Swami has seen this technology applied in a variety of contexts, from automotive and shipping to telcos and more, providing an informed perspective for industry executives, data scientists, and anyone else interested in the intersection of predictive analytics and business.

Direct download: Swami_Chandrasekaran.mp3
Category:Big Data -- posted at: 8:09pm PST

Why Big Data is Not Necessarily the Best Data for Business

You’re a business, and you’ve collected data - now how do you now make sense of it? Bring in a technology called ‘sentiment analysis’, a form of machine learning that determines whether text is positive or negative. Slater Victoroff’s company Indico provides a sentiment analysis API product that specializes in this task. In this episode, we talk about about the common misconceptions that businesses have about where ‘big data’ may be applicable, and the lessons he’s learned by gaining more tangible insights from smaller sets of data for companies. He explains why big data is not necessarily better, and discusses the steps that companies should take early on to make sure they’re prepared when it’s time to apply machine learning to their processes.

Direct download: Slater_new.mp3
Category:Big Data -- posted at: 12:00am PST

Neural Nets Just One Strand in a Braided Approach to Building Strong AI

TechEmergence has had a number of past guests who have talked about neural networks and machine learning, but Dr. Pieter Mosterman speaks in-depth about the pendulum swing in this approach to AI from the 1960s to today. What we call neural networks as a general approach to developing AI has come in and out of favor two or three times in the last 50+ years. In this episode, Dr. Pieter Mosterman speaks about the shift in this approach and why neural networks have gone in and out of favor, as well as where the pendulum may take us in the not-too-distant future.

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Direct download: PieterMosterman.mp3
Category:Big Data -- posted at: 3:00am PST

Artificial Intelligence Gives Power of Foresight in the Next Decade

We talk a lot about the future of technology on TechEmergence - the long-road potentials and ethical considerations that intersect the various paths of artificial intelligence. But keeping the conversation real and present necessitates looking through binoculars rather than a telescope from time to time.

In this episode, Eyal Amir, associate professor of Computer Science at University of Illinois and co-founder of Parknav and AI Incube, Inc., gives his zoomed-in perspective of the types of technological progress that he believes will be relevant in the next 5 to 10 years.

Direct download: EyalAmir__Use.mp3
Category:Big Data -- posted at: 7:00am PST

Dayakar went from entrepreneurship to the VC world, and hasn't lost a bit of his enthusiasm for finding opportunities for an agile, ambitious team. In this interview, he talks to us at TechEmergence about his ideas of how startups can make a big opportunity with the current state of big data (and some successful case studies to boot).

For More Information, Visit the HUB of Startups / Business in Emerging Technology. From Robotic Limbs to Getting Angel Investment, from Biotech to Intellectual Property:

http://www.TechEmergence.com

Interested in the Future of Humanity and the Ramifications of Emerging Tech? Sentient Potential Covers the Ethical Considerations and Future Projections at the Crossroads of Technology and Consciousness:

 

http://www.SentientPotential.com

Direct download: Dayakar.mp3
Category:Big Data -- posted at: 8:00am PST

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