AI at Work

Rob May interviewed Ram Katamaraja, CEO and Founder at Colaberry and Pawan Nandakishore, Colaberry's Data Scientist. At Colaberry, they provide career-oriented training programs that re-skill and upscale people who are losing jobs, helping them move into the data space. Rob, Ram, and Pawan talked about the unique story behind Colaberry and how they are applying data science today. (0:00-3:40): Background on Colaberry and what they do (3:40-5:45): What kinds of data skills are you teaching? Is it pretty standard, or more specialized? (5:45-8:50): What kind of backgrounds does somebody need to be successful here? (8:50-11:40): Do you have any statistics on how successful your students have been? (11:40-17:15): What advice would you give to people that are new at working with data science or with a data science team? (17:15-19:30): Colaberry's "One Interview, One Job" philosophy (19:30-24:30): you guys have been doing this for a few years now. What has changed? What are the trends that you are seeing in data and data science? (24:30-25:38): 2019 AI predictions? (25:38): Where do you stand on the limits of deep learning?

In this episode of AI at Work, Rob May interviewed Jay Budzik CTO at ZestFinance. ZestFinance's software uses machine learning algorithms and big data technology to help financial services companies make more effective credit decisions, safely and transparently. Tune in for Jay's take on the importance of explainable AI. (0:00-2:21)Jay's background and whatZestFinance does (2:21-3:35)We've definitely seen an explainability crisis in AI for a lot of fields, but we've also seen a biased issue that's concerned a lot of people. Are you guys able to address that as well? (3:35-5:52)Tell us a little bit about where the snake oil is in explainability. (5:52-9:00) I saw that the method that you guys are using (as opposed to sort of like Lime, which is a popular one that people have tried to use for this) something called Shapley additive explanations, which has sort of a game theoretic application to it. Can you talk a bit more about that? (9:00-11:23)What are some of your lessons learned for sort of those people about how data science teams and engineering teams work together? (11:23-13:00)When you think about where ZestFinance is going and some of the different AI machine learning techniques and some of the things that are inputs to those techniques, when you look at the AI landscape, what's the problem that you guys aren't working on that you wish somebody would solve that would really help you and make your business better? (13:00-15:50) A lot of what's coming out of academia or some of these big R&D shops you could argue in some cases isn't real world or it's a very, very specific or niche world. Do you think that those companies are going to produce those kind of models? Or do we need that to come from people? (15:50-18:00)You guys did a partnership last year with Microsoft. Tell us a little bit about how did that come about. (18:00-22:12)Microsoft, they've got researchers there who are leaders are active in this sort of the fairness and accountability, transparency, like Kate Crawford and Hannah Wallach. I'm curious, like do you guys get to interact with them at all as part of this partnership? Do you get to leverage that? (22:12)Where do you stand on the limits of deep learning?

In this episode of AI at Work, Rob May interviewed Sameer Maskey, CEO and Founder at Fusemachines. Fusemachines is an Artificial Intelligence solutions and services provider that offers AI engineers to companies seeking to develop their capabilities in Big Data & Machine Learning. Tune in for Sameer's take on the importance of data, how AI is helping financial institutions, tips for hiring AI talent, and much more. (0:00-1:32) Intro. and background on Fusemachines (1:32-2:23)Does Fusemachines primarily work with companies in the sense that they rent a developer, they hire a developer for a period of time to work on day to day what they want, or do they primarily come to you for help with a project, and you assign the developers, you manage the developers. Or do you support both models? (2:23-3:18)Do you place some talent full time with companies? (3:18-5:23) Trying to hire AI talent is something that everybody's struggling with. We're struggling with it here at Talla. It's just, there's a global shortage (5:23-7:00) Rob's background and the importance of mathematics (7:00-9:56) Tell us a bit about your article in Forbes and some of the things that you highlighted for AI, particularly chatbots and personalized service, fraud detection, and things like that. (9:56- 14:40) What advice do you have to somebody, an executive at a large company doing their first AI product, things that might help increase the likelihood that they have success, or think things that they might not expect or understand going in that you would give as recommendations? (14:40-17:00) Looking around at the AI landscape, are there opportunities that you think are untouched? (17:00-18:00) In 2019, do you have any major predictions for AI in the coming year? (18:00) What's your stance on the Elon Musk and Mark Zuckerberg debate? Fusemachines: www.fusemachines.com info@fusemachines.com Show notes: Forbes Article: www.forbes.com/sites/forbestechc…ons/#6a4255e4460a

In this episode of AI at Work, Rob May interviewed Adam Martel, CEO and Co-Founder at Gravyty. Gravyty is a Boston-based artificial intelligence company developing self-writing emails and other amazing artificial intelligence products to revolutionize frontline fundraising at nonprofit organizations. Tune in to learn how he started Gravyty, their breakthroughs on behavioral change, his best advice for implementing AI at your organization, and much more. Show Notes: Gravyty: https://www.gravyty.com/

So, what now? Looking ahead into 2019, Rob May sat down with some of Talla's Data Scientists to get their take on questions like: - Were there any key breakthroughs in natural language processing for 2018? - Did we make any progress in explainable AI in 2018? - What are your predictions for 2019? - And, many more

Rob May sits down with Gabi Zijderveld, CMO at Affectiva. Tune in for a fresh perspective on marketing new technologies and Gabi's lessons learned on communicating your business's answer to the question, "So what?".

In this episode of AI at Work, Matt Scott, Co-Founder and CTO of Malong Technologies calls in from China to talk with Rob May and guest co-host Byron Galbraith. Tune in learn all about Malong Technologies, a computer vision AI company founded in 2014 and hear Matt's advice to business leaders.

This week on AI at Work, Rob May interviewed Jeanne Meister, Founding Partner at The Future Workplace. Tune in to hear her take on the future of work, and why it is going to be so important for HR teams to embrace AI. Show Notes: https://usingai4hr.com Sign up for Using AI 4 HR To Enhance The Employee Experience with promo code TALLA for $100 off your registration!

This week on AI at Work, Rob May discussed the concept of basic income with Dr. Tavneet Suri from MIT Sloan School of Management. At its most base case, basic income means that the government is paying a flat fee every year to every citizen. Tune in to learn more about what this means and about Dr. Tavneet Suri’s research in sub-Saharan Africa.

Rob May interviews Jana Eggers, CEO at Nara Logics. Tune in to hear her answer to the common question, “Where do I start?” and learn 4 tips to stop reading about AI and start actually doing it. Show Notes: The Fifth Discipline: https://www.amazon.com/Fifth-Discipline-Practice-Learning-Organization/dp/0385517254

Talking Machines' Katherine Gorman talks AI trends, hype, "least favorite stories", why AI is absolutely not magic, and much more. Check out this episode for her take: Show Notes: Talking Machines: https://www.thetalkingmachines.com/home?context_entity_type=node&context_entity_id=14033

Rob May has a conversation with Murray Cantor, Co-Founder and CTO at Aptage. Tune in for his take on the future of AI and commentary on how to think about trusting these systems. He shares interesting insights on how neural nets can be problematic, why it's an exciting time to be a mathematician, and whether AI is augmenting or replacing workers. Show Notes: The Book of Why: The New Science of Cause and Effect by Judea Pearl and Dana Mackenzie: https://www.amazon.com/Book-Why-Science-Cause-Effect/dp/046509760X/ref=sr_1_1?ie=UTF8&qid=1541109089&sr=8-1&keywords=the+book+of+why

Tune in for a round-up of some of the best advice and insights we've heard so far on AI at Work. Drew Magliozzi, CEO and Co-Founder, Admithub - 1:00 Steve Peltzman Chief Business Technology Officer, Forrester Research - 3:00 Rudina Sesseri, Founder, Glasswing Ventures - 5:00 Tom Davenport, Distinguished Professor, Babson College - 6:00 Brendan Kohler, CTO and Co-Founder, Sentanai and Co-Founder, Hyperplane Venture Capital - 12:00 Jim O'Neill, Former Chief People Officer, HubSpot - 16:00

Rob May and Brooke Torres sit down with Erin Winick, Associate Editor for Future of Work at MIT Technology Review. Tune in to hear what Erin learned from automating someone’s job, predictions on the Future of Work, and how to prepare yourself and your business. Show Notes: Clocking In: https://www.technologyreview.com/newsletters/clocking-in/ Basic Income: https://www.barnesandnoble.com/w/basic-income-phillipe-van-parijs/1124680471?ean=9780674052284

Rob May and Brooke Torres interview Brendan Kohler, the Co-founder and CTO at Sentenai and Co-founder at Hyperplane Venture Capital, an AI-focused venture capital fund. Tune in for his perspective on hiring for A.I. talent, lessons learned investing in A.I. companies, and how to separate real from hype when applying A.I. at your business.