Artificial Intelligence in Industry with Dan Faggella (natural language processing)

There’s not that many serial tech entrepreneurs in the legal space, but Gary Sangha is one of them. Sangha is CEO and founder of Lit IQ, which is applying machine learning and computational linguistics to legal documents to help lawyers avoid making drafting mistakes. In this episode, Sangha talks about where this type of software is most useful and legitimate, what the legal landscape in relationship to machine learning may look like in the next few years, and how this technology may apply across industries.

Direct download: TEP-Gary_Sangha-Mixdown.mp3
Category:natural language processing -- posted at: 5:00pm PST

When Will Chatbots Reach Human Level Sophistication?

What does the world look like when we can replicate human expertise in an assistant? Are we close to developing human-level chatbots that we can ask about law or medical conditions? We dive into this topic with Founder and CEO of exClone Dr. Riza Berkan, whose personal assistant and chat-bot company is leveraging day-to-day human conversational templates in machine learning technology in order to better approach the tough task of replicating human expertise through a machine. Berkan talks about the edge layer of his company's “secret sauce”, and touches on the future applications of what might manifest in this field in 5 to 10 years in medical and other consumer applications.

Direct download: TEP-Riza_Berkan-Mixdown.mp3
Category:natural language processing -- posted at: 5:00pm PST

Scaling Virtual Assistant Services for Enterprise

As Senior Director and World Wide Head of the Cognitive Innovation Group at Nuance Communications, Mark Hanson works on bringing Nuance lab innovations to business applications, with the guiding goals of  improving customer experience and business efficiency. In this episode, Hanson speaks about natural language processing (NLP), where he believes this technology is headed in the future and where it's driving value now, and how companies are applying NLP in Silicon Valley and elsewhere.

Direct download: TEP-Mark_Hanson-Mixdown.mp3
Category:natural language processing -- posted at: 1:33pm PST

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

This week's interview was recorded live at Nuance's Silicon Valley office with guest Charlie 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).

Direct download: Charlie_Ortiz_Mixed.mp3
Category:natural language processing -- posted at: 5:00pm PST

How Natural Language Processing Helps Mattermark Find Business Opps

Natural language processing (NLP) sounds cool in theory. We’re familiar with Siri and Echo of course, but where does it play a role in other companies? In today’s episode, we speak with Samiur Rahman from Mattermark, whose entire business model is predicated on organizing and making findable information about companies, and generating a platform to search by unique criterion. Doing so involves some conceptual work with NLP to make things findable. Samiur talks about what Mattermark is doing with this technology now and where he thinks the future may take the field, and interesting topic for investors and founders alike.

Direct download: Samuir_Rahman.mp3
Category:natural language processing -- posted at: 9:39pm PST

NLP Systems Have a Lot to Learn from Humans

Ten years ago, it would have been difficult to talk into your phone and have anything meaningful happen. AI and natural language processing (NLP) have made large leaps in the last decade, and in this episode Dr. Catherine Havasi articulates why and how. Havasi talks about how NLP used to work, and how a focus on deep learning has helped transform the prevalence and capabilities of NLP in the industry. For the last 17 years, Havasi has been working on a project through the MIT Media Lab called ConceptNet, a common sense lexicon for machines. She is also Founder of Luminoso, which helps businesses make sense of text data and improve their business processes.

Direct download: Catherine_Havasi.mp3
Category:natural language processing -- posted at: 9:21pm PST

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