18 episodes

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.

Me, Myself, and AI MIT Sloan Management Review and Boston Consulting Group (BCG)

    • Technology
    • 5.0 • 64 Ratings

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.

    Democratizing Data in Hollywood: Jumpcut’s Kartik Hosanagar

    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. 

    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.

    • 27 min
    Me, Myself, and AI Season 3 Trailer

    Me, Myself, and AI Season 3 Trailer

    Me, Myself, and AI is a podcast on artificial intelligence in business. Join us as we kick off Season 3 on October 19, 2021.
    Hear from three of our Season 3 guests in this short trailer:

    Douglas Hamilton, associate vice president and head of AI research for global exchange operator Nasdaq

    Sarah Karthigan, AI for IT operations manager at energy company ExxonMobil

    Kartik Hosanagar, professor at the University of Pennsylvania's The Wharton School and founder and CEO of Jumpcut, a data-driven film studio


    Read more about our series and follow along at https://sloanreview.mit.edu/ai.
    Join our growing community of AI leaders and enthusiasts on LinkedIn at mitsmr.com/AIforLeaders.

    • 1 min
    AI and the COVID-19 Vaccine: Moderna’s Dave Johnson

    AI 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.
    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.

    • 23 min
    Starting Now On Technology Ethics: Elizabeth Renieris

    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.

    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.

    • 28 min
    No Need for AI Unicorns: PepsiCo's Colin Lenaghan

    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 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.

    • 27 min
    DIY With AI: The Home Depot's Huiming Qu

    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 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.
     

    • 25 min

Customer Reviews

5.0 out of 5
64 Ratings

64 Ratings

Freeeeeze amf ,

Great content!!

Fantastic learning and amazing guests. Whether you are in the industry or just want to learn more you can find something here you will enjoy. There is truly something here for everyone to learn from. Anxiously awaiting season 3!!!!

md.jonathan ,

Me, myself and AI

This podcast is great for a thoughtful approach to AI. The guests are remarkable and the hosts incredibly knowledgeable.

The podcast has been helpful to me, a novice interested in ai applications in medicine even though most episodes have been on other topics. There is a lot to be learned from the use of ai in business and other applications.

I look forward to the fall season.

incredulousdoctor ,

Great look at AI use cases - fun guests & hosts

Love the hosts and guests on this show - very fun mix of companies and focuses. As someone on the AI creation side, I particularly appreciate hearing about companies’ experiences deploying AI for employees with non-AI backgrounds to use.

Top Podcasts In Technology

You Might Also Like