Artificial Intelligence in Industry with Dan Faggella (general)

This week on AI in Industry, we speak to Paul Barba (Chief Scientist at Lexalytics) about what how companies are using natural language processing, and what it takes (in terms of expertise, time, and training) to get these systems working. From sentiment analysis to categorization, Paul walks us through interesting and fruitful use-cases and sheds light on the back-end "tweaking" required to keep NLP productive in a changing business environment.

For more interviews on the applications of AI in business, visit:

www.TechEmergence.com

Direct download: AI_in_Industry-Paul_Barba-Mixdown.mp3
Category:general -- posted at: 3:19pm PST

In this episode, we talk to Murali Aravamudan, Founder and CEO of AI-driven drug discovery startup Qrativ, a joint venture by the Mayo Clinic and biotech/data science firm nference. Murali and I discuss the surge of medical information and data in the medical industry, the role of artificial intelligence in developing drugs for treatments to various diseases, and the future of AI in drug discovery.

For more in-depth interviews on the business applications of artificial intelligence, find us online at:

www.TechEmergence.com

Direct download: AI_in_Industry-Murali_Aravamudan-Mixdown.mp3
Category:general -- posted at: 6:44pm PST

Natural language processing has gained more and more attention with the raise of (or rather, the "fad" of) chatbots. Despite the flurry of press releases from companies about their conversational agents (only a few of which seem to be delivering real business value), few business leaders understand the value of NLP for customer service, sales enablement, or eCommerce.

In this week's episode of AI in Industry we interview Narjes Boufaden, computational linguistics PhD and CEO of Keatext, an NLP company based in Montreal. Narjes explores the possible business applications of NLP - specifically for customer service and customer experience - and she also explains (in layman's terms) how NLP systems are trained and integrated into businesses today.

The ROI on this episode (in my opinion), is a firm understanding of what NLP can and cannot do, and what business applications it can realistically solve today. I was fortunate to meet Narjes in person during my Montreal trip, and I'm glad we were able to bring her on the program shortly thereafter.

For more expert interviews on the business applications of AI, visit:

www.TechEmergence.com

Direct download: AI_in_Industry-Narjes_Boufaden-Mixdown.mp3
Category:general -- posted at: 2:42pm PST

As a human, we can often understand the mood, intention, and future action of another person just by looking at them. We see their posture, their facial expression, where their eyes are focused, and we can get a decent understanding of what they might do next. The problem of computer vision for body language is a much harder problem to solve, but we are indeed making progress.

Our guest this week is Paul Kruszewski, an computer science PhD who's spent nearly the last 20 years focused on 3D modeling and artificial intelligence. Today, he's CEO of Wrnch, a Montreal-based AI company focused on reading and understanding human body language.

Paul explains how advances in 3D modeling and computer vision have allowed researchers to get machines to "understand" the posture, movements, and intentions of human being - and he also helps explore the future applications that this technology might have in security, retail, sports, and more.

For more interviews on the applications of AI in business, visit:

TechEmergence.com

Direct download: AI_in_Industry-Paul_Kruszewski-Mixdown.mp3
Category:general -- posted at: 2:37pm PST

In the future, the vast majority of photos and videos recorded won't be seen and used by humans - they'll be seen and used by machines. This week we interview Allan Benchetrit, CEO at Algolux - a Montreal-based AI company focusing on computational imaging.

If you take an image for a human being in a consumer application (maybe an iPhone app or a recreational DSLR camera), you probably want it to be visually appealing and clear to the human eye.

As it turns out, machines don't need pretty images, they need to do their jobs. If a computer vision system needs to detect road signs, or suspicious people in an airport, or the presence of weeds in a cornfield - it may create images that are ugly to the human eye, but perfectly calibrated for being interpreted by machines for their jobs. As it turns out, this is a complicated AI-related problem itself, and Allan walks us through it.

If your business uses cameras heavily - or may do so in the future - this interview will provide an around-the-corner look at what it takes to create effective computer vision applications.

For more expert interviews about the business applications of artificial intelligence, visit:

www.TechEmergence.com

Direct download: AI_in_Industry-Allan_Benchetrit-Mixdown.mp3
Category:general -- posted at: 7:55pm PST

Artificial intelligence is coming - should be worried about our jobs? Well, it depends. Our guest Dr. Kevin LaGrandeur spent the last two years researching the impacts of automation and artificial intelligence on society and the job market. In this interview on AI in Industry, we explore the near future of AI's impact on the world of work, and I ask Kevin some important questions, including:

  • What skills are least "automate-able" in the next decade?
  • What middle class professions have the greatest risk of automation, and what should those professionals be doing now to hedge against job loss?
  • What should business leaders be doing now to prepare for "phasing out" work while still taking care of their employees?

For more interviews with AI executives and researchers (and more insight on applying AI in your organization) - visit us online at:

www.TechEmergence.com

Direct download: AI_in_Industry-Kevin_Lagrandeur-Mixdown.mp3
Category:general -- posted at: 1:15am PST

The big tech giants, such as Amazon, Google and Netflix, tend to set the stage in a lot of different domains and set public expectations to raise the aggregate tide of consumer experience. Our online experience is somewhat different each time we use these and other sites. This is because many of these tech giants alter their experience user per user in a real time iterative fashion in order to create sticky experiences and to beat their competitors.

In this episode we talk to Adam Spector, the Co-Founder & Chief Business Officer at LiftIgniter, a company which provide a service which modulates website experience per users, for an array of different businesses. Adam and I discuss what the tech giants are doing to customize their business experiences, what data they’re using to continually alter user experience and what industries and sectors might be impacted by this aggregate trend as it moves forward.

See more interviews with AI industry innovators at:

www.TechEmergence.com

Direct download: AI_in_Industry-Adam_Spector-Mixdown.mp3
Category:general -- posted at: 12:13pm PST

Imagine you work in a large organization with tens of thousands of employees across multiple countries, a business that’s been around for over a hundred years, and all of a sudden you have people in one department who are interested in applying chatbots, colleagues in another department who wish to implement sentiment analysis and still another department that wants to begin using AI for fraud and risk analysis. How do you manage to put all these pieces together?

That is exactly the situation that Muriel Serrurier Schepper found herself in.  Muriel is the Business Consultant Advanced Data Analytics & Artificial Intelligence at Rabobank Digital Bank in Naarden, Netherlands. In this episode, Muriel and I discuss the Artificial Intelligence Center of Excellence at Rabobank, where she manages projects and has connected ad virtual and physical team across the company which is comprised of over 60,000 employees spread across the world.

For more interviews on the applications of AI in industry, visit:

www.TechEmergence.com

Direct download: AI_in_Industry-Muriel_Serrurier_Schepper-Mixdown_v2_1.mp3
Category:general -- posted at: 2:20pm PST

If you work in healthcare, or in an established business that is looking to implement AI for the first time - then this won't be an interview you'll want to miss.

AYASDI is one of those rare AI startups that has raised over $100MM since it's inception in 2008. This week on the "AI in Industry" podcast, Sangeeta Chakraborty of AYASDI breaks down some of AI's important recent applications in the healthcare field. She also explores how hospitals are "modernizing" their processes and systems to include data science and AI applications - and we pick apart those "modernizing" strategies in a way that makes them applicable to nearly any "stodgy" business or industry that is just beginning to implement AI.

For more interviews, research, and case studies on AI in industry, visit:

www.TechEmergence.com

 

Direct download: AI_in_Industry-Sangeeta_Chakraborty-Mixdown.mp3
Category:general -- posted at: 11:12am PST

As it turns out, survival of the fittest applies as much to algorithms as it does to amoebas, at least when we're talking about genetic algorithms. We recently interviewed Dr. Jay Perrret, CTO of Aria Networks, a company that uses genetic algorithm-based technology for solving some of industry's toughest problems, from optimization of business networks to pinpointing genetic patterns correlated with specific diseases. Dr. Perrett has been working for years in this domain, testing algorithms that use variations of parameters in order to gradually arrive at a best result, when there's no simple way to program a solution. In this episode, Dr. Perrett discusses how genetic algorithms (GA) work and ways that they can be tested and applied in a business context. He provides two very useful case studies, including a recent example with Facebook that involved planning out an optimal (and massive) data network.

 

Direct download: TEP-Jay_Perrett-Mixdown.mp3
Category:general -- posted at: 7:37pm PST