PODCAST

Me, Myself, and AI

MIT Sloan Management Review and Boston Consulting Group (BCG)

Why do only 10% of companies succeed with AI? In this series by MIT SMR and BCG, we talk to the leaders who've achieved big wins with AI in their companies and learn how they did it. Hear what gets experts from companies like Google Cloud, Mastercard, and others excited to do their jobs every day and what they consider the keys to their success.
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Me, Myself, and AI Season 3 Trailer
AI in the Supply Chain: Cold Chain Technologies’ Ranjeet Banerjee
When Ranjeet Banerjee talks about the work his organization, Cold Chain Technologies (CCT), does to transport vaccines and other biologics that must be temperature controlled, he stresses that the company doesn’t solely rely on technology. CCT approaches its work by first considering what problems it’s trying to solve, developing use cases, and then considering whether a technology solution might be the best way forward. In this episode, we learn how a combination of Ranjeet’s background in chemical engineering, his experience working in the health care space, and a holistic approach to leadership and problem-solving enable him to lead CCT to constantly innovate in the supply chain space. Ranjeet also discusses the benefits of a customer-first mindset and shares insights applicable to leaders in industries beyond health care. Read the episode transcript here. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders. Read more about our show and follow along with the series at https://sloanreview.mit.edu/ai. Guest bio: Ranjeet Banerjee is the CEO of Cold Chain Technologies (CCT), a leading global provider of comprehensive thermal assurance solutions for temperature-sensitive drugs, vaccines, and biologics. Under his leadership, CCT is playing a key role in the COVID-19 pandemic response, with both the Moderna and Johnson & Johnson vaccines exclusively using CCT’s thermal assurance packaging solutions across the U.S. CCT is also supporting the in-transit cold chain needs for vaccine distribution across the globe. Previously, Banerjee spent 25 years at global medical technology company Becton Dickinson, most recently serving as corporate executive vice president as well as president of the U.S. and Canada regions, with responsibility for more than $6 billion in revenue. Banerjee is a member of the Advisory Board for the CEO Leadership Alliance of Orange County. He earned a bachelor’s degree in chemical engineering from the Indian Institute of Technology.
Jan 11 2022
34 mins
Technology as a Force for Good: Salesforce’s Paula Goldman
Paula Goldman has been a passionate advocate for the responsible use of technology for her entire career. Since joining Salesforce as its first chief ethical and humane use officer, she’s helped the company design and build technology solutions for its customers, with a focus on ethics, fairness, and responsible use. In this episode, Paula joins hosts Sam and Shervin to discuss her specific role leading the ethical development of technology solutions, as well as the role technology companies play in society at large. Read the episode transcript here. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders. Read more about our show and follow along with the series at https://sloanreview.mit.edu/ai. Guest bio: Paula Goldman is Salesforce’s first chief ethical and humane use officer. In her role, she leads Salesforce in creating a framework to build and deploy ethical technology that optimizes social benefit. Previously, Goldman served as vice president, global lead, for the Tech and Society Solutions Lab at Omidyar Network, a social impact investment firm established by eBay founder Pierre Omidyar. Goldman also served as the global lead for impact investing, where she created and led Omidyar Network’s global efforts to build the impact investing movement through its investment portfolio, industry partnerships, and thought leadership. Goldman earned a Ph.D. from Harvard University, a master’s degree in public affairs from Princeton, and a bachelor’s degree with highest honors from the University of California, Berkeley.
Nov 30 2021
27 mins
Predicting Volatility and Risk: Nasdaq’s Doug Hamilton
Douglas Hamilton works across business units at Nasdaq to deploy artificial intelligence anywhere the technology can expedite or improve processes related to global trading. In this episode of Me, Myself, and AI, he joins hosts Sam Ransbotham and Shervin Khodabandeh to explain how the global financial services and technology company uses AI to predict high-volatility indexes specifically and to offer more general advice for those working with high-risk scenarios. Read the episode transcript here. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders. Read more about our show and follow along with the series at https://sloanreview.mit.edu/ai. Guest bio: A data scientist by trade, Douglas Hamilton is the head of AI research at Nasdaq’s Machine Intelligence Lab, which is dedicated to clarifying and improving financial markets with machine learning. He joined Nasdaq in 2017 as a data scientist and developed AI solutions focusing on rapid adaptation, reinforcement learning, and efficient market principles as solutions to predictive control problems. Before joining the financial technology industry and spearheading Nasdaq’s machine intelligence initiatives, Hamilton led an advanced manufacturing analytics group at Boeing Commercial Airplanes and built customer relationship management systems at Fast Enterprises. He is a veteran of the U.S. Air Force and a member of the advisory board of The Data Science Conference. Hamilton holds a master of science degree in systems engineering from MIT and a bachelor’s degree in mathematics from the University of Illinois Springfield.
Nov 16 2021
25 mins
Developing an Appetite for AI: ExxonMobil’s Sarah Karthigan
ExxonMobil is an energy company that’s existed since 1870, well before artificial intelligence. So, what does an AI manager at ExxonMobil do? In the latest episode of the Me, Myself, and AI podcast, hosts Sam Ransbotham and Shervin Khodabandeh interview Sarah Karthigan, AI operations manager for IT, to find out. Sarah leads a data science team tasked with making use of large volumes of data, with the goal of offering reliable and affordable energy to a variety of populations. A major focus of Sarah’s efforts has been around self-healing, a method for internal process improvement. Listen in to learn how her group secures buy-in for various technology initiatives and works to continually improve human-machine collaboration for the organization. Read the episode transcript here. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders. Read more about our show and follow along with the series at https://sloanreview.mit.edu/ai. Guest bio: Sarah Karthigan is a reputed leader with a demonstrated history of leading digital transformation initiatives in the energy industry. She was named one of 2021’s 25 Influential Women in Energy in recognition of her outstanding work to accelerate the adoption of data science to enable data-driven decision-making across the integrated oil and gas value chain. Karthigan started her career at ExxonMobil over a decade ago and has since held various roles of increasing responsibility in the areas of strategic planning, project management, scientific computing, and data science. She currently leads the AI operations practice, which is focused on realizing self-healing strategies, and is also responsible for managing external relationships with multiple technical business partners.
Nov 2 2021
29 mins
Democratizing Data in Hollywood: Jumpcut’s Kartik Hosanagar
Kartik Hosanagar wasn’t your typical Hollywood hopeful. He didn’t pack his life into a sedan, drive to Los Angeles, and work a series of part-time jobs while trying to make it big in the film industry. Kartik is a professor of business and marketing at the University of Pennsylvania’s Wharton School who penned a screenplay while on sabbatical. When he started pitching it to potential producers, he quickly discovered that the film industry can be hesitant to take risks on new writers and directors — which often means that diverse talent is overlooked. So, to help unknown talent to break into the entertainment industry, he got to work founding Jumpcut, a venture-funded startup that aims to uncover new voices. In the first episode of Season 3 of Me, Myself, and AI, our hosts talk with Kartik about how Jumpcut uses AI to identify creative individuals and help them develop their ideas into studio-ready productions. Read the episode transcript here. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders. Read more about our show and follow along with the series at https://sloanreview.mit.edu/aipodcast.  Guest bio: Kartik Hosanagar is the John C. Hower Professor of Technology and Digital Business and a professor of marketing at The Wharton School of the University of Pennsylvania. His research focuses on the digital economy and the impact of analytics and algorithms on consumers and society. Hosanagar is a 10-time recipient of MBA or undergraduate teaching excellence awards at The Wharton School. He is a serial entrepreneur who most recently founded Jumpcut Media, a startup that is using data to democratize opportunities in film and TV. Hosanagar has served as a department editor at the journal Management Science and has previously served as a senior editor at the journals Information Systems Research and MIS Quarterly.
Oct 19 2021
28 mins
Me, Myself, and AI Season 3 TrailerAI and the COVID-19 Vaccine: Moderna’s Dave Johnson
"We tend not to be a company of half measures,” notes Dave Johnson, chief data and artificial intelligence officer at Moderna, “so when we decide we’re going to do something, we’re going to do it.” This characterization certainly seems to fit the Cambridge, Massachusetts-based biotech company that made a name for itself in 2020 upon releasing one of the first COVID-19 vaccines approved by the U.S. Food and Drug Administration for emergency use to combat the coronavirus. In this bonus episode, Sam and Shervin learn how Moderna used artificial intelligence to speed up development of the vaccine and how the technology has helped to automate other key systems and processes to build efficiencies across the organization. Dave also describes Moderna’s digital-first culture and offers insights around collaboration that can be applied across industries. Read the episode transcript here. Continue the conversation with us on LinkedIn at https://mitsmr.com/AIforLeaders. We’ve created a group called AI for Leaders specifically for audience members like you. You can catch up on back episodes of the show, meet show creators and hosts, tell us what you want to hear about in Season 3, and discuss key issues about AI implementation with other like-minded people. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Guest bio: Dave Johnson is chief data and artificial intelligence officer at Moderna, where he is responsible for all enterprise data capabilities, including data engineering, data integration, data science, and software engineering. Johnson earned a doctorate in information physics and has more than 15 years of experience in software engineering and data science. He has spent more than a decade working exclusively in enterprise pharma and biotech companies.
Jul 13 2021
23 mins
Starting Now On Technology Ethics: Elizabeth Renieris
Technology presents many opportunities, but it also comes with risks. Elizabeth Renieris is uniquely positioned to advise the public and private sectors on ethical AI practices, so we invited her to join us for the final episode of Season 2 of the Me, Myself, and AI podcast. Elizabeth has worked for the Department of Homeland Security and private organizations in Silicon Valley, and she founded the legal advisory firm Hackylawyer. She now serves as founding director of the Notre Dame-IBM Technology Ethics Lab, which is focused on convening leading academic thinkers and technology executives to help develop policies for the stronger governance of AI and machine learning initiatives. In this episode, Elizabeth shares her views on what public and private organizations can do to better regulate their technology initiatives. Read the episode transcript here. Thank you for joining us for Season 2 of Me, Myself, and AI. We'll be back this fall with new episodes, and may have a bonus for you this summer. In the meantime, stay in touch by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders. Read more about our show and follow along with the series at https://sloanreview.mit.edu/aipodcast. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Guest bio: Elizabeth Renieris is the founding director of the Notre Dame-IBM Technology Ethics Lab, the applied research and development arm of the University of Notre Dame’s Technology Ethics Center, where she helps develop and oversee projects to promote human values in technology. She is also a technology and human rights fellow at the Carr Center for Human Rights Policy at Harvard’s Kennedy School of Government, a practitioner fellow at Stanford’s Digital Civil Society Lab, and an affiliate at the Berkman Klein Center for Internet and Society. Renieris’s work is focused on cross-border data governance as well as the ethical challenges and human rights implications of digital identity, blockchain, and other new and advanced technologies. As the founder and CEO of Hackylawyer, a consultancy focused on law and policy engineering, Renieris has advised the World Bank, the U.K. Parliament, the European Commission, and a variety of international and nongovernmental organizations on these subjects. She is also working on a forthcoming book about the future of data governance through MIT Press. Renieris holds a master of laws degree from the London School of Economics, a Juris Doctor from Vanderbilt University, and a bachelor of arts degree from Harvard College.
Jun 22 2021
29 mins
No Need for AI Unicorns: PepsiCo's Colin Lenaghan
Colin Lenaghan says he wakes up every Monday morning looking forward to the week ahead and what he’ll learn as he continues to lead digital transformation and artificial intelligence projects at work. With nearly a quarter-century under his belt working in revenue management at PepsiCo, these technology implementation projects keep him and his team on their toes while positioning the consumer packaged goods company for continued success long into the future. In this episode, we speak with Colin about some of the AI projects his team is working on and get his take on the skills and competencies organizations should foster to set up technology implementations for success. Read the episode transcript here. Read more about our show and follow along with the series at https://sloanreview.mit.edu/aipodcast. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Your reviews are essential to the success of Me, Myself, and AI. For a limited time, we’re offering a free download of MIT SMR’s best articles on artificial intelligence to listeners who review the show. Send a screenshot of your review to smrfeedback@mit.edu to receive the download. Guest bio: Colin Lenaghan is global senior vice president for net revenue management at PepsiCo. In his 24-year career at PepsiCo, Lenaghan has held positions across the company’s strategy, finance, insights, and commercial groups and gained deep experience across all categories in the PepsiCo portfolio. He spearheads digital transformation to leverage artificial intelligence and machine learning capabilities to drive improved performance across the value chain, including a project to set up a technology venture unit in Israel.
Jun 8 2021
28 mins
DIY With AI: The Home Depot's Huiming Qu
Huiming Qu didn’t plan to work in data science, a nascent field at the time she was pursuing a Ph.D. in computer science, but one course in data mining changed all of that. She started her career in the research department at IBM, transitioned to a 50-person startup, spent some time in the financial services industry, and today leads data science and machine learning in the marketing and online functions at The Home Depot. In this episode, Huiming explains the similarities and differences between her previous experiences and her current role, in which she is tasked with helping customers more easily find the products and services they need as they embark on home improvement projects. (And who hasn’t started at least one of those since the COVID-19 pandemic shifted many of us to working from home?) She also outlines some of the challenges of managing a data set of over 2 million product SKUs and getting pilot programs to market quickly, and she explains why she champions the need for cross-functional teams to execute complex technology projects. Read the episode transcript here.   Read more about our show and follow along with the series at https://sloanreview.mit.edu/aipodcast.   Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Your reviews are essential to the success of Me, Myself, and AI. For a limited time, we’re offering a free download of MIT SMR’s best articles on artificial intelligence to listeners who review the show. Send a screenshot of your review to smrfeedback@mit.edu to receive the download. Guest bio: Huiming Qu leads the online data science and platform team enabling search, product recommendations, real-time personalization, visual shopping, and various other innovations for The Home Depot’s digital channels. She is a technical leader with deep expertise in artificial intelligence, data science, engineering, and product leadership, with a proven record of driving billion-dollar contributions with scalable machine learning solutions and strategic innovation. Qu has more than 10 years of experience managing large AI and data science programs at IBM’s Watson research lab, Distillery, and American Express. She earned a Ph.D. in computer science from the University of Pittsburgh; holds six patents and has others pending approval; and has published more than a dozen academic papers around data management, machine learning, and optimization.
May 25 2021
26 mins
Prototypes, Pilots, and Polymers: Cooper Standard’s Chris Couch
Chris Couch has a unique role, serving as senior vice president and CTO of automotive supplier Cooper Standard as well as CEO of Liveline Technologies, a startup born from the CS Open Innovation initiative. Both organizations use AI to manufacture products the average consumer likely never thinks twice about, such as brake fluid and polymer seals for car doors. In this episode, we talk with Chris about open innovation, automating rote processes without displacing human workers, and attracting talent by fostering a startup culture. Read the episode transcript here. For more on how humans and machines can collaborate successfully, read the 2020 Artificial Intelligence and Business Strategy report, “Expanding AI’s Impact With Organizational Learning." Read more about our show and follow along with the series at https://sloanreview.mit.edu/aipodcast. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Your reviews are essential to the success of Me, Myself, and AI. For a limited time, we’re offering a free download of MIT SMR’s best articles on artificial intelligence to listeners who review the show. Send a screenshot of your review to smrfeedback@mit.edu to receive the download. Guest bio: With more than 21 years of global automotive manufacturing experience, Christopher Couch serves as senior vice president and CTO for Cooper Standard, where he leads R&D, product development and engineering, product strategy, and program management. He also has P&L responsibility for Applied Materials Science, a venture business unit focused on the commercialization of unique materials developed by the company. Couch also leads the CS Open Innovation initiative, which aims to position Cooper Standard as the partner of choice for open innovation with startups, universities, and other suppliers. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger.
May 11 2021
31 mins
Designing a Better Future: Mastercard’s JoAnn Stonier
JoAnn Stonier can’t deny that her role as chief data officer at Mastercard isn’t easy. Advising the company on the mitigation of current and future risk while guiding her team to think critically about the problems they’re using AI to solve is challenging — but, she says, it’s also fun. In this episode, JoAnn talks with Sam Ransbotham and Shervin Khodabandeh about the elements of her job that are both demanding and rewarding. She also touches on the skill sets she finds most valuable in her colleagues and shares how her work in interior design helps her reframe technology challenges at work. Read the episode transcript here. Read the article Strategy For and With AI. Read more about our show and follow along with the series at https://sloanreview.mit.edu/aipodcast. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Your reviews are essential to the success of Me, Myself, and AI. For a limited time, we’re offering a free download of MIT SMR’s best articles on artificial intelligence to listeners who review the show. Send a screenshot of your review to smrfeedback@mit.edu to receive the download. Guest bio: JoAnn Stonier serves as chief data officer for Mastercard, leading the organization’s data innovation efforts while navigating current and future data risks. Stonier and her team design and operationalize Mastercard’s global data strategy, ensure governance and data quality, and guide enterprise deployment of cutting-edge data solutions, including advanced analytics and AI and the development of enterprise data platforms.
Apr 27 2021
29 mins
Learning, Engagement, and Empowerment:1-800-Flowers’ Amit Shah
1-800-Flowers faces the same cold-start problem any consumer-facing business might face: It doesn’t know exactly what its customers need when they first come to its website. What’s more unique to the platform which operates through a network of local florists and affiliates worldwide, though, is that each time a customer comes to its site, they may have a different end goal in mind. Consumers shop for gifts and floral arrangements for different occasions — as varied as funerals, birthdays, and holidays — which can make it difficult for technology to recommend the best product during a specific online shopping session. In Season 2, Episode 3, of the Me, Myself, and AI podcast, 1-800-Flowers president Amit Shah explains the company’s unique challenge as a platform business and engagement brand facing this perennial cold-start problem. He also shares his insights into why marketers may have a leg up in working with AI and machine learning, how to foster a team of curious learners, and why it’s important to tolerate failures. Read the episode transcript here. Read more about our show and follow along with the series at https://sloanreview.mit.edu/audio-series/me-myself-and-ai. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Your reviews are essential to the success of Me, Myself, and AI. For a limited time, we’re offering a free download of MIT SMR’s best articles on artificial intelligence to listeners who review the show. Send a screenshot of your review to smrfeedback@mit.edu to receive the download. Guest bio: Amit Shah has a proven track record for leading e-commerce marketing strategies while rapidly scaling user acquisition and revenue streams. As president of 1-800-Flowers.com (since August 2020), he is responsible for leading the operations and management of the 1-800-Flowers.com brand. Since joining the company in September 2011, Shah has held several roles of increasing responsibility, most recently serving as chief marketing officer from March 2017 to August 2020.
Apr 13 2021
36 mins
Games, Teams, and Moonshots: Google Cloud’s Will Grannis
Will Grannis discovered his love for technology playing Tron and Oregon Trail as a child. After attending West Point and The Wharton School at the University of Pennsylvania, he translated his passion for game theory into an aptitude for solving problems for companies, a central component of his role as founder and leader of the Office of the CTO at Google Cloud. Will leads a team of customer-facing technology leaders who, while tasked with bringing machine learning solutions to market, approach their projects with a user-first mindset, ensuring that they first identify the problem to be solved. Will makes it clear that great ideas don’t only come from the obvious subject-area experts in the room; diverse perspectives, coupled with a codified approach to innovation, lead to the best ideas. The collaboration principles and processes Google Cloud relies on can be applied at other organizations across industries. Read the episode transcript here. Read more about our show and follow along with the series at https://sloanreview.mit.edu/audio-series/me-myself-and-ai. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Your reviews are essential to the success of Me, Myself, and AI. For a limited time, we’re offering a free download of MIT SMR’s best articles on artificial intelligence to listeners who review the show. Send a screenshot of your review to smrfeedback@mit.edu to receive the download. Guest bio: Will Grannis is the founder and leader of Google Cloud’s CTO Office, a team of senior engineers whose mission is to foster collaborative innovation between Google and its largest customers. Prior to joining Google in 2015, Grannis spent the last two decades as an entrepreneur, enterprise technology executive, and investor, building and scaling technical platforms that today power commerce, transportation, and the public sector. He’s been a developer, product manager, CTO, SVP of Engineering, and CEO, building a wide variety of platforms and teams along the way.
Mar 30 2021
30 mins
Less Algorithm, More Application: Lyft’s Craig Martell
Craig Martell says he won the career lottery. After studying logic, philosophy, political science, and political theory, he completed a Ph.D. in computer science and found his way to machine learning, a field he thoroughly enjoys. After spending time at Dropbox and LinkedIn, Craig headed to Lyft, where he runs the LyftML engineering team. He’s also an adjunct professor at Northeastern University in Seattle. We kick off Season 2 of Me, Myself, and AI discussing a particular trend Craig has seen in the AI and machine learning space: As organizations depend more on technology-driven solutions to solve business problems, algorithms themselves are less important than how they fit into an overall engineering product pipeline and product development road map. Craig shares his thoughts about what this shift means for academic education and cross-functional collaboration in organizations, and the hosts pick his brain about how to combat unconscious bias. Read the episode transcript here. Read more about our show and follow along with the series at https://sloanreview.mit.edu/aipodcast. To find out more about the movie Coded Bias, which Craig mentions during the interview, visit https://www.codedbias.com. To learn more about the work of MIT Media Lab researcher Joy Buolamwini, visit her page on the lab's website: https://www.media.mit.edu/people/joyab/overview/ Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Your reviews are essential to the success of Me, Myself, and AI. For a limited time, we’re offering a free download of MIT SMR’s best articles on artificial intelligence to listeners who review the show. Send a screenshot of your review to smrfeedback@mit.edu to receive the download. Guest bio: Craig Martell is head of machine learning at Lyft and an adjunct professor of machine learning for Northeastern University’s Align program in Seattle. Before joining Lyft, he was head of machine intelligence at Dropbox, led a number of AI teams and initiatives at LinkedIn, and was a tenured professor at the Naval Postgraduate School in Monterey, California. Martell has a Ph.D. in computer science from the University of Pennsylvania and is coauthor of Great Principles of Computing (MIT Press, 2015).
Mar 16 2021
24 mins
Tech and Ethics: The World Economic Forum’s Kay Firth-Butterfield on Doing the Right Thing in AI
Kay Firth-Butterfield was teaching AI, ethics, law, and international relations when a chance meeting on an airplane landed her a job as chief AI ethics officer. In 2017, Kay became head of AI and machine learning at the World Economic Forum, where her team develops tools and on-the-ground programs to improve AI understanding and governance across the globe. In the final episode of the first season of the Me, Myself, and AI podcast, Kay joins cohosts Sam Ransbotham and Shervin Khodabandeh to discuss the democratization of AI, the values of good governance and ethics in technology, and the importance of having people understand the technology across their organizations — and society. She also weighs in on other themes our hosts have discussed this season, including education, collaboration, and innovation. Read the episode transcript here. Me, Myself, and AI is a collaborative podcast between MIT Sloan Management Review and Boston Consulting Group, hosted by Sam Ransbotham and Shervin Khodabandeh. Its engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Guest bio: Kay Firth-Butterfield is head of AI and machine learning and a member of the executive committee of the World Economic Forum. In the United Kingdom, she is a barrister with Doughty Street Chambers and has worked as a mediator, arbitrator, part-time judge, business owner, and professor. She is vice chair of the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems and serves on the Polaris Council of the U.S. Government Accountability Office advising on AI.
Nov 17 2020
31 mins
Fashion Forecasting: Arti Zeighami on Implementing AI at H&M GroupBetter Together: Mattias Ulbrich on Combining Coffee, Business, and Technology at Porsche
Mattias Ulbrich has always been interested in new technology. As CIO of Porsche and CEO of Porsche Digital, he runs a subsidiary focused on the “new stuff” — new ideas, new models, and new opportunities. That means implementing innovations in AI, cloud technology, and blockchain in local markets around the world, and instilling a culture of continuous learning within his own cross-functional workforce. In this episode, Mattias shares examples of how AI is accelerating innovation at Porsche — by enhancing product design and the driving experience, improving production and sustainability efforts, and better managing the global supply chain. He has also connected some unlikely dots from other spaces — for example, by using the sound of an espresso machine to inform car component design. Read the episode transcript here. Read more about our show and follow along with the series at https://sloanreview.mit.edu/aipodcast. Me, Myself, and AI is a collaborative podcast between MIT Sloan Management Review and Boston Consulting Group, hosted by Sam Ransbotham and Shervin Khodabandeh. Its engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Guest bio: Mattias Ulbrich has been CIO at Dr. Ing. h.c. F. Porsche AG since October 2018 and CEO of Porsche Digital GmbH since April 2019. After studying electrical engineering at the Technical University of Braunschweig, Mattias began his career in the sales division of American IT company Hewlett-Packard in 1993. He joined Audi AG in 1998, working at the Neckarsulm, Germany, site until 2003. Mattias was subsequently appointed CIO at SEAT in Barcelona, Spain, and then joined Volkswagen in 2006. From 2012-2018, Mattias was CIO at Audi AG.
Nov 3 2020
27 mins
‘The First Day Is the Worst Day’: DHL’s Gina Chung on How AI Improves Over Time
As vice president of innovation at logistics company DHL, Gina Chung oversees a 28,000-square-foot innovation facility in Chicago. Fascinated with supply chains since college (“I think it’s something to do with the fact that I’m from New Zealand and grew up in a pretty isolated part of the world,” she explains), she spearheads AI and robotics projects focused on front-line operations — like automated pallet inspection and stacking, delivery route optimization, and aircraft utilization. Gina notes that “the first day for AI is the worst day”: The technology improves with human input over time, achieving accuracy to a level where people trust and embrace it. She describes how success requires closely collaborating with key stakeholders, integrating change management, bringing teams along when introducing new technology, and designing solutions with the end user in mind. Read the episode transcript here. Read more about our show and follow along with the series at https://sloanreview.mit.edu/aipodcast. Me, Myself, and AI is a collaborative podcast between MIT Sloan Management Review and Boston Consulting Group, hosted by Sam Ransbotham and Shervin Khodabandeh. Its engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Guest bio: Gina Chung is vice president, Innovation Americas, at DHL, where she is responsible for DHL’s Americas Innovation Center, a purpose-built platform to engage customers, startups, and industries on the future of logistics. She manages a portfolio of projects focused on the rapid testing and adoption of technologies such as collaborative robotics and artificial intelligence across logistics operations.
Oct 27 2020
23 mins
Advancing Health Care with AI: Humana’s Slawek Kierner Talks Synthetic Data and Real Lives
Slawek Kierner, senior vice president of enterprise data and analytics at Humana, has been immersed in data for as long as he can remember. His fascination with process simulations began on his first PC running MATLAB and Sumulink, and later led him to innovative roles at Procter & Gamble and Nokia. His desire to use data for a noble purpose drove Slawek to Humana, where he leverages AI to solve problems around medication adherence and predict population health outcomes. Tune in to hear Slawek share stories on recreating synthetic individual profiles indistinguishable from real humans (helping physicians better predict patient admissions and behaviors), and how his team created an internal machine learning platform that gives data scientists access to open source capabilities. All the in pursuit of helping human beings live longer, healthier lives. Read the episode transcript here. Read more about our show and follow along at sloanreview.mit.edu/aipodcast. Me, Myself, and AI is Me, Myself, and AI is a collaborative podcast between MIT Sloan Management Review and Boston Consulting Group, hosted by Sam Ransbotham and Shervin Khodabandeh. Its engineer is David Lishansky, and coordinating producers are Allison Ryder and Sophie Rüdinger. Guest bio: Slawek Kierner is Humana’s senior vice president, digital health and analytics. He is responsible for enabling data governance, analytics platforms, data science, and artificial intelligence integration across the enterprise to foster innovative solutions that help Humana’s communities, members, care teams, and employees more easily take actions for better health outcomes. Slawek has previously served as the chief data and analytics officer for the Microsoft Business Applications Group and has led digital marketing operations and information systems for Procter & Gamble’s European business. He also served as a board member and CIO for P&G’s Central Europe division.
Oct 20 2020
24 mins

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