Why do only 10% of companies succeed with AI? For four years, BCG and MIT SMR have studied corporate adoption of artificial intelligence. The most recent research has found that 90% of organizations do not realize significant financial benefit from the technology. So, what are the other 10% doing right? Each episode of Me, Myself, and AI features a discussion with a leading practitioner helping his or her organization gain measurable value from AI.
Douglas Hamilton works across business units at Nasdaq to deploy artificial intelligence wherever the technology can be used to 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 indexes, including those with high volatility. He also offers more general advice for people working with high-risk scenarios.
More on Me, Myself, and AI: Whether they work at a born-digital organization or (more often) a legacy company, our guests all have actionable insights to share. The series covers strategy, deployment, human-and-machine collaboration, and scaling. We also explore what first interested these leaders in AI, how they got to where they are today, and what keeps them excited about their field.
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As an associate vice president and the head of AI research at Nasdaq, Douglas Hamilton works across business units to deploy AI wherever the technology can be used to expedite or improve processes related to global trading. In this episode of the Me, Myself, and AI podcast, he describes how his team predicts market performance and mitigates risk by using AI.
Sarah Karthigan, an AI operations manager with ExxonMobil, leads a data science team working to offer reliable and affordable energy to a variety of populations. In this episode of the podcast Me, Myself, and AI, Karthigan explains how her team communicates the value of artificial intelligence to executives throughout the company in order to obtain buy-in for a variety of technology initiatives.
When Kartik Hosanagar learned firsthand that the film industry is reluctant to take risks on new writers and directors, he founded Jumpcut, a venture-funded startup that aims to uncover new voices in TV and film. In this episode of the Me, Myself, and AI podcast, Hosanagar, a professor at the University of Pennsylvania’s Wharton School, discusses how his company uses artificial intelligence to discover diverse talent that might otherwise be overlooked.
In this episode of the Me, Myself, and AI podcast, Moderna’s chief data and artificial intelligence officer Dave Johnson explains how AI helped the pharma company develop a COVID-19 vaccine in record time.
In this episode of the Me, Myself, and AI podcast, Elizabeth Renieris, founding director of the Notre Dame-IBM Technology Ethics Lab, discusses the risks of bias in AI and the importance of developing the right incentives and regulations for companies to responsibly manage their use of the technology.
Colin Lenaghan’s nearly 25-year career at PepsiCo has led him to a role overseeing strategic artificial intelligence initiatives in the company’s revenue management group. In this episode of the Me, Myself, and AI podcast, Lenaghan shares his thoughts on dealing with cultural change, the types of AI skills and competencies organizations should cultivate, and the digital transformation projects that keep him learning every day.
In this episode of the Me, Myself, and AI podcast, Huiming Qu, senior director of data science at The Home Depot, discusses the reward mechanisms that motivate development teams, the importance of iteration to quickly solve large problems, and how machine learning and artificial intelligence help customers execute their home improvement projects.
Automotive supplier Cooper Standard is using AI to improve technologies consumers take for granted in their everyday lives. In this episode of Me, Myself, and AI, Chris Couch, senior vice president and CTO at Cooper Standard, describes the company’s open innovation initiatives and commitment to employee engagement as it deploys and scales its AI solutions.
In this episode of the Me, Myself, and AI podcast, JoAnn Stonier, chief data officer at Mastercard, explains how acknowledging that data sets may contain biased information can be the first step in mitigating biased outcomes. Stonier also discusses how design thinking can help leaders think of challenges related to artificial intelligence not just as problems but as constraints that can help them design better business solutions.
Amit Shah, president of 1-800-Flowers, describes the platform business’ approach to problem-solving with technologies like artificial intelligence and machine learning, highlights the importance of continuous learning to continually address new business problems, and explains why failure is an essential aspect of progress.
Will Grannis has the unique challenge of leading a collective of chief technology officers at Google Cloud. Listen to this episode of the Me, Myself, and AI podcast, where he describes how he brings cross-functional teams together with customers to drive innovation in artificial intelligence and machine learning.
Craig Martell, head of machine learning at Lyft, kicks off season two of the Me, Myself, and AI podcast with a discussion about bias, education, and the importance of cross-functional awareness throughout technology initiatives.
“Companies want to go in doing the right thing”: Kay Firth-Butterfield, head of AI and machine learning at the World Economic Forum, discusses the balance of power and ethics in technology.
"It’s a combination of human and machine, the gut feeling and the data”: In this week’s episode of Me, Myself, and AI, Arti Zeighami, Chief Data and Analytics Officer of H&M Group, talks about implementing AI at a global retailer.
“Collaboration between the machine and the person is very important”: In this week’s episode of MIT SMR and BCG’s Me, Myself, and AI podcast, Mattias Ulbrich, CIO of Porsche and CEO of Porsche Digital, talks about how AI can drive change in business, engineering, and society.
“With AI, the first day is the worst day”: Gina Chung, vice president of innovation at DHL, explains how AI enhances front-line operations, and the importance of human collaboration and buy-in on AI implementations.
“If you take a physician looking at health history of a synthetic individual, they cannot tell it’s unreal”: Slawek Kierner, senior vice president digital health and analytics at Humana, talks about using data simulations to predict real outcomes in this episode of MIT SMR and BCG’s Me, Myself, and AI podcast.
“It’s a roller-coaster ride,” says Prakhar Mehrotra, vice president of machine learning at Walmart. In this week’s episode of MIT SMR’s Me, Myself, and AI podcast, Mehrotra shares the ups and downs of leading AI teams and workstreams for the $500 billion retailer that tops the list of Fortune 500 companies.
Are You Making the Most of Your Relationship with AI?
A recent BCG-MIT Sloan Management Review study suggests that in order to achieve significant financial benefits from their machines, companies will have to look beyond automation—and focus instead on learning and organizational transformation.
