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AI_in_Industry

Wolverine's Data Science

Eye On AI

Movies, for some of us, are a form of modern church. The Argentinian composer and musician Gustavo Santaolalla creates cinematic landscapes — movie soundtracks that become soundtracks for life. He's won back-to-back Academy Awards for his original scores for Brokeback Mountain and Babel. We experience his humanity and creative philosophy behind a kind of music that moves us like no other.

See more at www.onbeing.org/program/gustavo-santaolalla-how-movie-music-moves-us/7591

Gustavo Santaolalla — How Movie Music Moves Us

Closing Gaps in Natural Language Processing May Help Solve World’s Tough Problems – w/ Dr. Dan Roth

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.

NLP Systems Have a Lot to Learn from Humans

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 Samuir 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. Samuir 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.

How Natural Language Processing Helps Mattermark Find Business Opps

This week's interview was recorded live at Nuance's Silicon Valley office with guest&nbsp;Charlie Ortiz, director of the AI and Natural Language (NL) Processing Lab for Nuance Communications in Silicon Valley. In this episode,&nbsp;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).

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

If you're a fan of podcasts, my next guest likely needs no introduction. His name is Tim Ferriss, and he's the author of several New York Times bestselling books and the host of the popular podcast, "The Tim Ferriss Show." Tim’s out with a new book called "Tools of Titans," which distills the hours of interviews he's conducted with high-performing guests on his podcast to give readers the best tactics and strategies on how to live a successful, flourishing life.

Today on the show, Tim and I discuss self-improvement advice and the survivorship bias, the common habits of high-performers, and how to ask better questions so you can learn things more quickly. Tim also discusses his struggle with depression and what’s worked for him in keeping the black dog at bay. This podcast is crammed with actionable advice, so you’ll want to take notes.

#259: Tools of Titans

Silence is an endangered species, says Gordon Hempton. He defines real quiet as presence — not an absence of sound, but an absence of noise. The Earth, as he knows it, is a "solar-powered jukebox." Quiet is a "think tank of the soul." We take in the world through his ears.

On Being with Krista Tippett

Gordon Hempton — Silence and the Presence of Everything

With his book Thinking, Fast and Slow, Daniel Kahneman emerged as one of the most intriguing voices on the complexity of human thought and behavior. He is a psychologist who won the Nobel Prize in economics for helping to create the field of behavioral economics. He is a self-described “constant worrier.” And it’s fun, helpful, and more than a little unnerving to apply his insights into why we think and act the way we do in this moment of social and political tumult.

On Being with Krista Tippett 

Daniel Kahneman — Why We Contradict Ourselves and Confound Each Other

In order to shed more light on the growing applications of natural language processing, we speak with Vlad Sejnoha (CTO of Nuance Communications) about the current and near-term applications of NLP for voice and text across industries. In this podcast interview, Vlad breaks down real-world NLP use-cases in industries like banking, healthcare, automotive, and customer service. For the full article of this episode, visit:  TechEmergence.com/natural-language-processing-current-applications-and-future-possibilities

Natural Language Processing - Current Applications and Future Possibilities

When we talk about natural language processing (NLP), applications like handling customer service or chatbots which can aid with questions, come to mind. Yet, in recent years, NLP platforms have been increasingly used in content marketing and content production applications. In this episode of AI in industry, we talk to Tomás Ratia García-Oliveros, the co-founder and CEO founder of Frase.io, a Boston based startup which focuses on NLP problems around content marketing and content creation. Tomas explores how NLP platforms are now able to summarise resources on the web, perform contextual search and language understanding applications related to this domain. See the full interview article with&nbsp;Tomás Ratia García-Oliveros live at:  www.techemergence.com/artificial-intelligence-content-marketing-content-creation

Artificial Intelligence for Content Marketing and Content Creation

Episode summary: Most NLP applications we hear about involve marketing, customer service, and other customer-facing functions - but that there are NLP-related opportunities in other back-end functions as well.&nbsp;&nbsp; In this episode of AI in industry, we speak with Talla's Chief Data Scientist, Byron Galbraith, about how businesses can leverage chatbots or other NLP applications for improving document search for internal company communication. Byron explores what is currently possible using AI to improve search operations using contextual awareness. Byron also paints a vision of what AI-enabled "knowledge sharing" and "knowledge discovery" might look like in the future. For the full article of this episode, visit:&nbsp;TechEmergence.com/artificial-intelligence-team-communication/

Artificial Intelligence for Team Communication

Episode summary: This week’s episode explores the current possibilities in applying natural language processing for legal contract review. We speak with Andrew Antos and Nischal Nadhamuni from Klaritylaw, a Boston-based startup focused on using natural language processing (NLP) based information extraction, from non-disclosure agreements (NDAs), in a live setting. We delve into the current and future roles of AI and lawyers with respect to legal contracts. AI is currently being applied in applications like retroactive analysis and information identification in legal documents. According to Andrew and Nishchal, in the future we will see on-the-fly legal content creation from AI tools and NLP being applied to most commercial contracting. Although, one restraint that AI companies presently face in the legal domain is the lack of access to huge amounts of publicly available data. You can listen to the full interview with Andrew and Nischal here:    https://www.techemergence.com/applying-ai-legal-contracts-whats-possible-now/&nbsp;‎

Applying AI to Legal Contracts - What's Possible Now

Episode Summary: Machine learning (ML) can be used to identify objects and pictures or help steer vehicles, but is not best suited for text-based AI applications says Robbie Allen, founder of Automated Insights. In this episode of AI in Industry, we speak with Robbie about what is possible in generating text with AI and why rules based processes are a big part of natural language generation (NLG). We also explore which industries are likely to adopt such NLG techniques and in what ways can NLG help in business intelligence applications in the near future. You can listen to the full interview with Robbie here:    https://www.techemergence.com/robbie-allen-from-automated-insights-the-use-cases-of-natural-language-generation   &nbsp;

Robbie Allen from Automated Insights - The Use-Cases of Natural Language Generation

Episode summary: In this week's interview on the AI in Industry podcast, we speak with Amir Konigsberg, the CEO of Twiggle, about the future of product search - and how eCommerce and retail brands can use natural language processing (NLP) to improve their user experience. Amir explains some of the factors that make eCommerce product search challenging, and the artificial intelligence approaches that can improve it today and within the next five years. Interested readers can learn more about present and future use-cases for artificial intelligence applications in retail in our full article on that topic. You can listen to the full interview with Amir Konigsberg from Twiggle here:  https://www.techemergence.com/nlp-for-ecommerce-search-current-challenges-and-future-potential

NLP for eCommerce Search - Current Challenges and Future Potential

If you've done image recognition or computer vision tasks with a neural network, you've probably used a convolutional neural net. This episode is all about the architecture and implementation details of convolutional networks, and the tricks that make them so good at image tasks.

Convolutional Neural Nets

NAACL 2018 paper, by Matt Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Chris Clark, Kenton Lee, and Luke Zettlemoyer.

In this episode, AI2's own Matt Peters comes on the show to talk about his recent work on ELMo embeddings, what some have called "the next word2vec".  Matt has shown very convincingly that using a pre-trained bidirectional language model to get contextualized word representations performs substantially better than using static word vectors.  He comes on the show to give us some more intuition about how and why this works, and to talk about some of the other things he tried and what's coming next.

https://www.semanticscholar.org/paper/Deep-contextualized-word-representations-Peters-Neumann/4b17597b856c087f109381ce77d60d9017cb6f9a

NLP Highlights

56 - Deep contextualized word representations, with Matthew Peters

A huge part of the ascent of deep learning in the last few years is related to advances in computer hardware that makes it possible to do the computational heavy lifting required to build models with thousands or even millions of tunable parameters. This week we'll pretend to be electrical engineers and talk about how modern machine learning is enabled by hardware.

CPUs, GPUs, TPUs: Hardware for Deep Learning

Episode Summary: In this episode of the podcast, we interview AIG’s Chief Data Science Officer, Dr. Nishant Chandra, about natural language processing (NLP) for internal and team communication. Dr. Chandra talks about how NLP can help with sharing documents with specific team members whose roles warrant viewing those documents. Instead of a broad memo that would go out across the company, a document could be transformed to a tailored message depending on the individual receiving it. For instance, a document could be presented in a digestible way to the executive team, but be distilled to contain fewer details for the technology team to make it relevant to them. How might NLP serve this summarization role for internal communications in the next 5 years? See the full interview article here: www.techemergence.com/nlp-text-summarization-team-communication

NLP for Text Summarization and Team Communication

Emerj.com is where business leaders turn to understand how AI is impacting their business and industry - and what to do about it.

Our objective, jargon-free research and industry overviews are designed to give executives and decision-makers exactly what they need for competitive insight, informed AI technology procurement and strategic planning around AI.

AI disruption will open up new vistas for opportunity, creating new business paradigms and making others extinct. 

Emerj market research helps leaders survive and thrive in an era of AI disruption.

www.emerj.com

Natural Language Processing - Current Applications and Future Possibilities

The AI in Business Podcast