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AI is becoming more powerful and autonomous. What we once thought was a future trend is now reshaping how organizations are operating today. But the biggest risk of AI isn't replacement. More likely, it's reliance. Are you prepared for what's coming? In today's episode, Dr. Michael Chui, Senior Fellow at McKinsey and QuantumBlack AI, reveals how AI is rewriting the rules of competition, leadership, and even hiring structure. You'll learn why over-relying on AI can erode human judgment and creativity, how to build organizations that balance human decision-making with machine efficiency, and why managing AI agents will soon be as important as managing people. Dr. Chui shares how leaders can prevent “silent automation” from taking over their teams, what skills future managers must develop (including prompt engineering and oversight), and how companies can redesign roles, workflows, and organizational structures to thrive in the era of agentic AI. ________________ This episode is sponsored by Workhuman. Here's a good question for you: Who in your marketing department is a flight risk? How about: Where are your talent or skills gaps? Or: Which employees make up your next generation of leaders? If you couldn't answer any of these, then you need to check out Human Intelligence™, from Workhuman. By combining AI with the rich data of their #1 rated employee recognition platform, Human Intelligence unlocks insights and capabilities that redefine talent management, cultural transformation, and employee engagement. Want to learn more? Go to workhuman.com and learn how today's leading companies are turning AI into a force for good with Human Intelligence. ________________ Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: https://greatleadership.substack.com/
Kevin Werbach speaks with Medha Bankhwal and Michael Chui from QuantumBlack, the AI division of the global consulting firm McKinsey. They discuss how McKinsey's AI work has evolved from strategy consulting to hands-on implementation, with AI trust now embedded throughout their client engagements. Chui highlights what makes the current AI moment transformative, while Bankwhal shares insights from McKinsey's recent AI survey of over 760 organizations across 38 countries. As they explain, trust remains a major barrier to AI adoption, although there are geographic differences in AI governance maturity. Medha Bankhwal, a graduate of Wharton's MBA program, is an Associate Partner, as well as Co-founder of McKinsey's AI Trust / Responsible AI practice. Prior to McKinsey, Medha was at Google and subsequently co-founded a digital learning not-for-profit startup. She co-leads forums for AI safety discussions for policy + tech practitioners, titled “Trustworthy AI Futures” as well as a community of ex-Googlers dedicated to the topic of AI Safety. Michael Chui is a senior fellow at QuantumBlack, AI by McKinsey. He leads research on the impact of disruptive technologies and innovation on business, the economy, and society. Michael has led McKinsey research in such areas as artificial intelligence, robotics and automation, the future of work, data & analytics, collaboration technologies, the Internet of Things, and biological technologies. Episode Transcript The State of AI: How Organizations are Rewiring to Capture Value (March 12, 2025) Superagency in the workplace: Empowering people to unlock AI's full potential (January 28, 2025) Building AI Trust: The Key Role of Explainability (November 26, 2024) McKinsey Responsible AI Principles
José Antonio Bowen: Teaching With AI José Antonio Bowen has won teaching awards at Stanford and Georgetown and is past president of Goucher College. He has written over 100 scholarly articles and has appeared as a musician with Stan Getz, Bobby McFerrin, and others. He is the author of multiple books in higher education and is a senior fellow for the American Association of Colleges and Universities. He is the author with C. Edward Watson of Teaching With AI: A Practical Guide to a New Era of Human Learning*. AI will change how we work, but it's also going to change how we think. In this conversation, José and I explore where to begin working with AI and why those who can use it will serve a critical role in shaping what's next. Key Points Physical maps make you smarter than GPS, but GPS is more practical for daily use. AI isn't inherently good or bad, but like the internet, it will change how we work. AI will eliminate some jobs, but it will change every job. Those who can work with AI will replace those who can't. Rather than thinking about creativity through the lens of responses from AI, focus on bringing creativity into your prompts. Most of the AI progress for companies is coming from non-tech folks that are figuring our how specific tasks get more efficient. AI is very good at some things and not good at others. You'll discover how this relates to your work by experimenting with different prompts. Resources Mentioned Teaching With AI: A Practical Guide to a New Era of Human Learning* by José Antonio Bowen and C. Edward Watson Example AI Prompts by José Antonio Bowen The Human Side of Generative AI: Creating a Path to Productivity by Aaron De Smet, Sandra Durth, Bryan Hancock, Marino Mugayar-Baldocchi, and Angelika Reich Moderna and OpenAI partner to Accelerate the Development of Life-Saving Treatments The State of AI in Early 2024: Gen AI Adoption Spikes and Starts to Generate Value by Alex Singla, Alexander Sukharevsky, Lareina Yee, Michael Chui, and Bryce Hall Interview Notes Download my interview notes in PDF format (free membership required). Related Episodes Make Your Reading More Meaningful, with Sönke Ahrens (episode 564) Principles for Using AI at Work, with Ethan Mollick (episode 674) How to Enhance Your Credibility (Audio course) Discover More Activate your free membership for full access to the entire library of interviews since 2011, searchable by topic. To accelerate your learning, uncover more inside Coaching for Leaders Plus.
What is a geek? What geek norms are associated with success? Andrew McAfee will answer these questions and more. He's a principal research scientist at the MIT Sloan School of Management and author of the new book, The Geek Way: The Radical Mindset that Drives Extraordinary Results. This is a guest episode from McKinsey's Forward Thinking podcast, with co-host and McKinsey partner Michael Chui.See www.mckinsey.com/privacy-policy for privacy information
Co-host Michael Chui talks with Nan Ransohoff. Ransohoff is the head of climate at Stripe and leads Frontier, an advanced market commitment for carbon removal. She answers questions including: Is carbon removal a get out of jail free card for emitters? What are the most promising carbon removal technologies? Is it possible to scale up effective technologies quick enough? How much do costs need to come down before scaling is possible? What is an advanced market commitment? See www.mckinsey.com/privacy-policy for privacy information
Artificial intelligence (AI) is advancing at breakneck speed. Michael Chui, a partner at the McKinsey Global Institute (MGI), leads research on how this technology is reshaping business, the economy, and society more broadly. According to MGI, the next wave of AI-generated productivity improvements will send shockwaves through the labor market as it reaches–and surpasses–human-level ability across a wide range of skills but ultimately make the entire world wealthier and healthier. We hope you enjoy this conversation.Mentioned in this EpisodeMcKinsey Global Institute (MGI)MGI report: The Economic Potential of Generative AIAccenture report: Strategy at the Pace of TechnologyStudy on AI's capacity for theory of mindJohn Maynard Keynes
Co-host Michael Chui talks with Andy McAfee. McAfee is a principal research scientist at the MIT Sloan School of Management, co-founder and co-director of MIT's initiative on the digital economy, and the inaugural visiting fellow at the Technology in Society organization at Google. See www.mckinsey.com/privacy-policy for privacy information
Good things will come to those companies that don't wait. McKinsey AI experts Michael Chui and Alex Singla discuss McKinsey's new reportabout the generative AI opportunity with global editorial director Lucia Rahilly. Hear how companies should immediately seize the gen AI opportunity to gain competitive advantage.But first, McKinsey senior partner Kelsey Robinson points out a consumer spending dichotomy in her first of a series of a quick US consumer behavior check-ins.See www.mckinsey.com/privacy-policy for privacy information
Co-host Michael Chui talks with business professor Ethan Mollick. He is an associate professor at the Wharton School at the University of Pennsylvania. Mollick covers topics including the following: What is generative AI? How substantial are the performance improvements workers can gain from using generative AI How to use human management skills to get better results from generative AI What generative AI means for the future of work and trust What he learned when he made the use of generative AI mandatory in his classes See www.mckinsey.com/privacy-policy for privacy information
Co-host Michael Chui talks with economist Hans-Helmut Kotz who is a visiting professor of economics at Harvard University, a senior policy fellow at the Leibniz Institute for financial research at Goethe University, Frankfurt, and on the economics faculty of Freiburg University. Kotz covers topics including the following: Parallels between the 2007–09 global financial crisis and today's financial turbulence. The balance that banking regulators need to strike to protect the economy but encourage innovation. Being prepared by taking eclectic perspectives. See www.mckinsey.com/privacy-policy for privacy information
Co-host Michael Chui talks with Nouriel Roubini. Roubini is professor emeritus of economics at the Stern School of Business at New York University, and CEO of Roubini Macro Associates, a global macroeconomics consultancy. He covers topics including the following: The “mother of all” debt crises and what to do about it Likely future trends in the global balance sheet—the world's economic health and wealth The trajectory of globalization Which “megathreat” worries him most See www.mckinsey.com/privacy-policy for privacy information
Marketing, Vendas, Operações, Tecnologia da Informação... São inúmeros os setores com potencial para o uso de ChatGPT, a tecnologia que já registra o crescimento mais vertiginoso da história da internet para um aplicativo de grande público. Esse modelo de Inteligência Artificial, capaz de responder perguntas complexas de forma criativa, foi lançado no final de novembro de 2022 e, em apenas dois meses, superou 100 milhões de usuários e 13 milhões de visitantes diários. Mas como aproveitar as oportunidades e contornar os riscos éticos, legais e práticos que essa revolução apresenta? No próximo episódio do McKinsey Talks, você vai saber como as empresas estão usando a Inteligência Artificial Generativa, conhecer casos concretos com potencial para uso dessa tecnologia e até onde essa novidade pode nos levar. O bate-papo será com Pepe Cafferata, Sócio da McKinsey em São Paulo e líder da QuantumBlack na América Latina, e Michael Chui, Sócio em São Francisco e Líder do McKinsey Global Institute.
Co-host Michael Chui talks with Justin Adams. Adams is the head of partnerships at Just Climate, a climate-led investment business. he answers questions, including: How does nature or the ecosystem provide services to the economy? How much needs to be invested in nature? What role can capitalism play in addressing issues around sustainability? What kind of innovations have real potential to mitigate carbon emissions? See www.mckinsey.com/privacy-policy for privacy information
In this episode, co-host Michael Chui talks with Nicholas Bloom. Bloom is the William Eberle Professor of Economics at Stanford University and a senior fellow at the Stanford Institute for Economic Policy Research. He covers topics including the following: The history of remote work How remote work can enhance productivity What practices make hybrid work most effective How the views of employers and employees compare on working remotely See www.mckinsey.com/privacy-policy for privacy information
McKinsey analyzed 14 new trends in its latest report on business technology. Here are the three that leaders need to know about most. In this episode of The McKinsey Podcast, partners Michael Chui and Roger Roberts speak with McKinsey editorial director Roberta Fusaro about McKinsey's latest report on technology trends, with a particular focus on the benefits and challenges of applied AI, cloud and edge computing, and bioengineering. After, we'll hear from McKinsey partner Brian Rolfes, who came to McKinsey firmly “in thecloset.” But a chance meeting with a client showed him the value of being authentic—with himself and others. Theme music composed, performed, and produced by Joy Ngiaw.See www.mckinsey.com/privacy-policy for privacy information
In this episode of the McKinsey Global Institute's Forward Thinking podcast, co-host Michael Chui talks with Jayshree Seth, a corporate scientist and the chief science advocate at the 3M company. She covers topics including: How the human context can be brought into the practice of science and engineering Expanding talent pipelines into STEM fields The role of leadership in technical fieldsSee www.mckinsey.com/privacy-policy for privacy information
In this episode of the McKinsey Global Institute's Forward Thinking podcast, Michael Chui talks to Tyler Cowen, Holbert L. Harris Chair of Economics at George Mason University, who serves as chairman and general director of the Mercatus Center at George Mason University. With colleague Alex Tabarrok, Cowen is coauthor of the popular economics blog Marginal Revolution and cofounder of the online educational platform Marginal Revolution University. This conversation was recorded in September 2022. To read a transcript of this episode, visit: https://mck.co/TylerCowen Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more. Read more > Listen to the podcast (duration: 47:57) >
In this episode of the McKinsey Global Institute's Forward Thinking podcast, Michael Chui talks to Tyler Cowen, Holbert L. Harris Chair of Economics at George Mason University, who serves as chairman and general director of the Mercatus Center at George Mason University. With colleague Alex Tabarrok, Cowen is coauthor of the popular economics blog Marginal Revolution and cofounder of the online educational platform Marginal Revolution University. This conversation was recorded in September 2022. To read a transcript of this episode, visit: https://mck.co/TylerCowen Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more.See www.mckinsey.com/privacy-policy for privacy information
Michael Chui, Kweilin Ellingrud, and Jackie Wong of McKinsey & Co, join Jerry to talk about the recently released report Asian American workers: Diverse outcomes and hidden challenges. Michael, Kweilin, and Jackie each share why this particular report means so much to them individually. Listen in as they discuss a wide range of topics with Jerry, including their routes to the corporate world and McKinsey, the importance of disaggregated data, the challenges that lie ahead, and what actions we can take to continue raising awareness and fighting for change for the Asian American diaspora in the workplace and beyond.Meet MichaelPartner at the McKinsey Global Institute (MGI), McKinsey's business and economics research arm. Lead research on the impact of disruptive technologies and innovation on business, the economy, and society. Also led McKinsey research in such areas as Big Data, social and collaboration technologies, and the Internet of Things.Frequent speaker at major global conferences, and research has been cited in leading publications around the world. PhD dissertation, entitled "I Still Haven't Found What I'm Looking For: Web Searching as Query Refinement," examined Web user search behaviors and the usability of Web search engines.Connect with Michael on LinkedInMeet KweilinAs a Senior Partner at McKinsey, I am a Director of McKinsey Global Institute where I lead our research on global productivity, the Future of Work and impact of automation, impact from COVID-19, and gender equality and racial equity. I am also a leader in our Operations and Insurance practices, implementing global performance transformations. I am the instigator and co-author of The Power of Parity, McKinsey Global Institute research on unlocking the potential of women to drive greater economic growth. I write and speak on the untapped potential of women globally, and strategies to achieve gender parity. My writing has appeared in TIME and Harvard Business Review and I have spoken at the UN Women's Empowerment Principles Event, the Council on Foreign Relations, the Wilson Center, the U.S. Treasury, and the U.S. EEOC. Connect with Kweilin on LinkedInMeet JackieJackie Wong is an engagement manager in McKinsey's Philadelphia office and leads the firm's Race in the Workplace research study. In addition to the Asian American workers research, he has also co-authored other workplace equity research for Black workers, frontline workers, and LGBTQ+ workers. With his research expertise, he advises clients on talent strategy, with a focus on diversity, equity, and inclusion. He also leads McKinsey's LGBTQ+ talent recruiting in North America.Connect with Jackie on LinkedInRead the report: Asian American workers: Diverse outcomes and hidden challenges// Support Dear Asian Americans:Merch: https://www.bonfire.com/store/dearasianamericans/Buy Me a Coffee: https://www.buymeacoffee.com/jerrywonSubscribe to the Newsletter: https://subscribepage.io/daanewsletterLearn more about DAA Creator and Host Jerry Won:LinkedIn: https://www.linkedin.com/in/jerrywon/Instagram: https://www.instagram.com/jerryjwon/// Listen to Dear Asian Americans on all major platforms:Transistor.fm: http://www.dearasianamericans.comApple: https://apple.dearasianamericans.comSpotify: https://spotify.dearasianamericans.comStitcher: https://stitcher.dearasianamericans.comGoogle: https://google.dearasianamericans.com Follow us on Instagram: http://www.instagram.com/dearasianamericans Like us on Facebook: http://www.facebook.com/dearasianamericans Subscribe to our YouTube: http://www.youtube.com/dearasianamericans // Join the Asian Podcast Network:Web: https://asianpodcastnetwork.com/Facebook Group: https://www.facebook.com/groups/asianpodcastnetwork/Instagram: https://www.instagram.com/asianpodcastnetwork/Dear Asian Americans is produced by Just Like Media:Web: http://www.justlikemedia.comInstagram: http://www.instagram.com/justlikemedia
In this episode of the McKinsey Global Institute's Forward Thinking podcast, co-host Michael Chui talks with Alec Stapp, co-CEO of the Institute for Progress, a Washington, DC, think tank he co-founded in January 2022. Progress is a policy choice, its founders say, and they have chosen to focus initially on three topics—meta-science, high-skill immigration, and biosecurity. Why those three? Their view is that each one is important, neglected by other researchers, and potentially tractable politically. This conversation was recorded in July 2022. To read a transcript of this episode, visit: https://mck.co/AlecStapp Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more.See www.mckinsey.com/privacy-policy for privacy information
In this episode of the McKinsey Global Institute's Forward Thinking podcast, co-host Michael Chui talks with Alec Stapp, co-CEO of the Institute for Progress, a Washington, DC, think tank he co-founded in January 2022. Progress is a policy choice, its founders say, and they have chosen to focus initially on three topics—meta-science, high-skill immigration, and biosecurity. Why those three? Their view is that each one is important, neglected by other researchers, and potentially tractable politically. This conversation was recorded in July 2022. To read a transcript of this episode, visit: https://mck.co/AlecStapp Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more. Read more > Listen to the podcast (duration: 42:31) >
In this episode of the McKinsey Global Institute's Forward Thinking podcast, co-host Michael Chui talks with Avinash Collis, professor of digital economy at The University of Texas at Austin, and Digital Fellow at Stanford and MIT. He covers topics including: — One of the greatest inventions of the 20th century — How to run economics experiments to figure out how much digital services are worth — How much value digital services provide that GDP doesn't capture This conversation was recorded in April 2022. To read a transcript of this episode, visit: https://mck.co/AviCollis Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more.See www.mckinsey.com/privacy-policy for privacy information
In this episode of the McKinsey Global Institute's Forward Thinking podcast, co-host Michael Chui talks with Avinash Collis, professor of digital economy at The University of Texas at Austin, and Digital Fellow at Stanford and MIT. He covers topics including: — One of the greatest inventions of the 20th century — How to run economics experiments to figure out how much digital services are worth — How much value digital services provide that GDP doesn't capture This conversation was recorded in April 2022. To read a transcript of this episode, visit: https://mck.co/AviCollis Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more. Read more > Listen to the podcast (duration: 41:08) >
In this episode of the McKinsey Global Institute's Forward Thinking podcast, Michael Chui talks with Benedict Evans, an independent technology analyst. Evans covers topics including the following: ● The generational shifts in technology that occur every 15 years or so ● What characterizes a “universal product” ● Why Web3 generates the most polarizing views among senior tech people ● Whether tech is becoming a regulated industry This conversation was recorded in February 2022. To read a transcript of this episode, visit: https://mck.co/BenedictEvans Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more.See www.mckinsey.com/privacy-policy for privacy information
In this episode of the McKinsey Global Institute's Forward Thinking podcast, Michael Chui talks with Benedict Evans, an independent technology analyst. Evans covers topics including the following: ● The generational shifts in technology that occur every 15 years or so ● What characterizes a “universal product” ● Why Web3 generates the most polarizing views among senior tech people ● Whether tech is becoming a regulated industry This conversation was recorded in February 2022. To read a transcript of this episode, visit: https://mck.co/BenedictEvans Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more. Read more > Listen to the podcast (duration: 39:33) >
McKinsey's most recent research found that too often organizations are not using IoT to its best advantage, in large part driven by the perception that the Internet of Things is a siloed, technical process, opposed to one that's holistic. Hear from partners Mark Collins and Michael Chui in conversation with executive editor Roberta Fusaro to discuss how companies can get it right. After, a piece of space junk is supposed to hit our moon soon. That piece of debris is not the only one hurtling through orbit. Hear from associate partner, Chris Daehnick, about the implications of space trash. Theme music composed and performed by Joy NgiawSee www.mckinsey.com/privacy-policy for privacy information
McKinsey's most recent research found that too often organizations are not using IoT to its best advantage, in large part driven by the perception that the Internet of Things is a siloed, technical process, opposed to one that's holistic. Hear from partners Mark Collins and Michael Chui in conversation with executive editor Roberta Fusaro to discuss how companies can get it right. After, a piece of space junk is supposed to hit our moon soon. That piece of debris is not the only one hurtling through orbit. Hear from associate partner, Chris Daehnick, about the implications of space trash. Theme music composed and performed by Joy Ngiaw Read more > Listen to the podcast (duration: 27:47) >
In this episode of the McKinsey Global Institute's Forward Thinking podcast, Michael Chui talks with David Autor, Ford Professor of Economics at the Massachusetts Institute of Technology. Autor talks about the paradoxes created for labor markets by the pandemic, the effect of trade globalization, the rise of China as a world economic power, and the economic impact of automation. He answers questions including: ● How have labor markets changed as the result of the pandemic, and how might they evolve? ● How has the globalization of trade affected the US labor market? ● What could have been done, and should be done now, to mitigate localized negative effects of trade shocks? ● Does ‘cowboy capitalism' give us higher growth? ● What's the most surprising thing you've learned during the pandemic? This conversation was recorded in February 2022. To read a transcript of this episode, visit: https://mck.co/DavidAutor Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more.See www.mckinsey.com/privacy-policy for privacy information
In this episode of the McKinsey Global Institute's Forward Thinking podcast, Michael Chui talks with David Autor, Ford Professor of Economics at the Massachusetts Institute of Technology. Autor talks about the paradoxes created for labor markets by the pandemic, the effect of trade globalization, the rise of China as a world economic power, and the economic impact of automation. He answers questions including: ● How have labor markets changed as the result of the pandemic, and how might they evolve? ● How has the globalization of trade affected the US labor market? ● What could have been done, and should be done now, to mitigate localized negative effects of trade shocks? ● Does ‘cowboy capitalism' give us higher growth? ● What's the most surprising thing you've learned during the pandemic? This conversation was recorded in February 2022. To read a transcript of this episode, visit: https://mck.co/DavidAutor Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more. Read more > Listen to the podcast (duration: 38:06) >
Inaugurando a série sobre Inteligência Artificial nos Negócios, Pepe Cafferata, sócio da McKinsey em São Paulo, e Michael Chui, sócio da McKinsey em São Francisco, discutem (em inglês) o panorama da adoção dessa nova tecnologia nos mais diversos setores a partir de um estudo internacional realizado.
In this episode of the McKinsey Global Institute's Forward Thinking podcast, co-host Michael Chui talks with Matthew J. Slaughter, Paul Danos Dean and Earl C. Daum 1924 Professor of International Business at the Tuck School of Business at Dartmouth College. Slaughter takes the temperature of globalization, discussing ways of tackling distributional challenges and ensuring it works for ordinary families. He also reflects on the evolving demands on leaders of corporations in the 21st century, positing that those who recognize their wider purpose in society tend to outperform on productivity growth and profits. He answers questions including the following: ● At a time of great challenge in terms of globalization, what has worked, what hasn't worked, and what have we learned? ● What can be done to achieve the benefits of globalization while making sure distributional challenges are addressed? ● How have the demands placed on leaders in the 21st century changed? ● In late 2021, there is a lot of discussion about supply chain issues. What is going on here and what is going to happen? This conversation was recorded in November 2021. To read a transcript of this episode, visit: https://mck.co/MattSlaughter Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more.See www.mckinsey.com/privacy-policy for privacy information
In this episode of the McKinsey Global Institute's Forward Thinking podcast, co-host Michael Chui talks with Matthew J. Slaughter, Paul Danos Dean and Earl C. Daum 1924 Professor of International Business at the Tuck School of Business at Dartmouth College. Slaughter takes the temperature of globalization, discussing ways of tackling distributional challenges and ensuring it works for ordinary families. He also reflects on the evolving demands on leaders of corporations in the 21st century, positing that those who recognize their wider purpose in society tend to outperform on productivity growth and profits. He answers questions including the following: ● At a time of great challenge in terms of globalization, what has worked, what hasn't worked, and what have we learned? ● What can be done to achieve the benefits of globalization while making sure distributional challenges are addressed? ● How have the demands placed on leaders in the 21st century changed? ● In late 2021, there is a lot of discussion about supply chain issues. What is going on here and what is going to happen? This conversation was recorded in November 2021. To read a transcript of this episode, visit: https://mck.co/MattSlaughter Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more. Read more > Listen to the podcast (duration: 34:59) >
In this episode of the McKinsey Global Institute's Forward Thinking podcast, Michael Chui talks to Byron Auguste and Beth Cobert whose professional life is dedicated to fostering a more skills-based labor market. Their focus is on the United States, but their diagnostic can just as easily apply to other countries and regions. Both worked at McKinsey & Company for many years on labor-market issues before going on to work in the Obama administration. Today, Beth is the chief operating officer of the Markle Foundation and CEO of Skillful, a Markle Foundation initiative. Byron Auguste is the co-founder and CEO of Opportunity@Work. They answer questions including the following: — Who is actually working in the US labor market? — How does the language we use—“low skill”, “high skill”—cause problems? — What could a potential future of more of a skills-based workforce look like? — If employers and people want a skills-based workforce, why aren't we there already? — Do we all have to wait until there's some global skills taxonomy we all use? How does this thing evolve so that it actually becomes practical? This conversation was recorded in October 2021. To read a transcript of this episode, visit: https://mck.co/BethCobertByronAuguste Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more.See www.mckinsey.com/privacy-policy for privacy information
In this episode of the McKinsey Global Institute's Forward Thinking podcast, Michael Chui talks to Byron Auguste and Beth Cobert whose professional life is dedicated to fostering a more skills-based labor market. Their focus is on the United States, but their diagnostic can just as easily apply to other countries and regions. Both worked at McKinsey & Company for many years on labor-market issues before going on to work in the Obama administration. Today, Beth is the chief operating officer of the Markle Foundation and CEO of Skillful, a Markle Foundation initiative. Byron Auguste is the co-founder and CEO of Opportunity@Work. They answer questions including the following: — Who is actually working in the US labor market? — How does the language we use—“low skill”, “high skill”—cause problems? — What could a potential future of more of a skills-based workforce look like? — If employers and people want a skills-based workforce, why aren't we there already? — Do we all have to wait until there's some global skills taxonomy we all use? How does this thing evolve so that it actually becomes practical? This conversation was recorded in October 2021. To read a transcript of this episode, visit: https://mck.co/BethCobertByronAuguste Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more. Read more > Listen to the podcast (duration: 44:27) >
In this episode of the McKinsey Global Institute's Forward Thinking podcast, co-host Michael Chui speaks with Mary “Missy” Cummings, one of the first female fighter pilots in the US Navy and now a professor in the Duke University Pratt School of Engineering and the Duke Institute for Brain Sciences, as well as the director of Duke's Humans and Autonomy Laboratory. Cummings talks about her life as a fighter pilot and her journey into automation and robotics. She also answers questions like: • What are your reflections on diversity across different fields? • What are some interesting developments you're seeing in the automation of vehicles? • Are there things that car designers should be learning from the aerospace industry, or vice versa, as they're starting to implement more levels of automated technology and driver assistance? • What is the perfect use case for automation? • What excites you most about advances in technology? This conversation was recorded in August 2021. To read a transcript of this episode, visit: https://mck.co/missycummings Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more.See www.mckinsey.com/privacy-policy for privacy information
In this episode of the McKinsey Global Institute's Forward Thinking podcast, co-host Michael Chui speaks with Mary “Missy” Cummings, one of the first female fighter pilots in the US Navy and now a professor in the Duke University Pratt School of Engineering and the Duke Institute for Brain Sciences, as well as the director of Duke's Humans and Autonomy Laboratory. Cummings talks about her life as a fighter pilot and her journey into automation and robotics. She also answers questions like: • What are your reflections on diversity across different fields? • What are some interesting developments you're seeing in the automation of vehicles? • Are there things that car designers should be learning from the aerospace industry, or vice versa, as they're starting to implement more levels of automated technology and driver assistance? • What is the perfect use case for automation? • What excites you most about advances in technology? This conversation was recorded in August 2021. To read a transcript of this episode, visit: https://mck.co/missycummings Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more. Read more > Listen to the podcast (duration: 30:17) >
In this episode of the McKinsey Global Institute's Forward Thinking podcast, host Michael Chui speaks with Laura Tyson, Distinguished Professor of the Graduate School at the Haas School of Business, University of California, Berkeley. Tyson shares her journey in economics, from discovering Econ 1 in college to chairing the President's Council of Economic Advisers. She also answers questions like: • Are we in a “golden age” for women in economics? • What impact has the pandemic had on gender equality? • What can other countries learn from Germany's apprenticeship and skills programs in preparing for the future of work? • Why doesn't she expect a slow recovery after the pandemic, as we experienced after the global financial crisis? • Why aren't predictions about the economy more accurate, like predicting the weather? This conversation was recorded in June 2021. To read a transcript of this episode, visit: https://mck.co/lauratyson Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more.See www.mckinsey.com/privacy-policy for privacy information
In this episode of the McKinsey Global Institute's Forward Thinking podcast, host Michael Chui speaks with Laura Tyson, Distinguished Professor of the Graduate School at the Haas School of Business, University of California, Berkeley. Tyson shares her journey in economics, from discovering Econ 1 in college to chairing the President's Council of Economic Advisers. She also answers questions like: • Are we in a “golden age” for women in economics? • What impact has the pandemic had on gender equality? • What can other countries learn from Germany's apprenticeship and skills programs in preparing for the future of work? • Why doesn't she expect a slow recovery after the pandemic, as we experienced after the global financial crisis? • Why aren't predictions about the economy more accurate, like predicting the weather? This conversation was recorded in June 2021. To read a transcript of this episode, visit: https://mck.co/lauratyson Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more. Read more > Listen to the podcast (duration: 33:27) >
In this episode of the McKinsey Global Institute's Forward Thinking podcast, hosts Michael Chui and Anna Bernasek speak with Daron Acemoglu. Daron is a professor of economics at the Massachusetts Institute of Technology (MIT), a coauthor (with James A. Robinson) of Why Nations Fail: The Origins of Power, Prosperity and Poverty, and the author of many influential academic papers. His research covers a range of topics, including political economy, economic development, economic growth, technological change, inequality, labor economics, and economics of networks. The conversation focuses in on how we make growth happen in a world of technological change that is largely disrupting labor markets. As Daron puts it, “I believe that the political economy of growth ... and technology, automation, AI—those [things] are intimately connected.” The influential economist connects the dots between artificial intelligence, productivity, wages, and inequality, and how to counterbalance the impacts of automation. This conversation was recorded in April 2021. To read a transcript of this episode, visit: https://mck.co/daron Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more.See www.mckinsey.com/privacy-policy for privacy information
In this episode of the McKinsey Global Institute's Forward Thinking podcast, hosts Michael Chui and Anna Bernasek speak with Daron Acemoglu. Daron is a professor of economics at the Massachusetts Institute of Technology (MIT), a coauthor (with James A. Robinson) of Why Nations Fail: The Origins of Power, Prosperity and Poverty, and the author of many influential academic papers. His research covers a range of topics, including political economy, economic development, economic growth, technological change, inequality, labor economics, and economics of networks. The conversation focuses in on how we make growth happen in a world of technological change that is largely disrupting labor markets. As Daron puts it, “I believe that the political economy of growth ... and technology, automation, AI—those [things] are intimately connected.” The influential economist connects the dots between artificial intelligence, productivity, wages, and inequality, and how to counterbalance the impacts of automation. This conversation was recorded in April 2021. To read a transcript of this episode, visit: https://mck.co/daron Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more. Read more > Listen to the podcast (duration: 34:15) >
In this episode of Forward Thinking, host Michael Chui speaks with Jeffrey Ding, researcher and founder of the ChinAI newsletter, about information asymmetry in artificial intelligence between China and the West. They cover why data may not be like oil, the Chinese industry adage on products, platforms, and standards, “unsexy AI” and more. There's a lot of talk right now about artificial intelligence, or AI, and what it means for global competition. Today's conversation features somebody you probably don't know yet but probably should. He's famous in certain corners of the internet but his work, it turns out, is relevant everywhere. MGI research suggests that while there's AI happening all around the world, there are two places where the most AI development is taking place, and it's the US and China. What's interesting about that is that while a lot of the Chinese AI developers are reading and even coauthoring English-language papers, very few Western AI practitioners are able to keep up with the flow of information in the Chinese language, even when a lot of it is published openly. It's almost like a one-way mirror—and this asymmetry might seem strange in a field where a lot of the work is openly available on the internet. But our guest, Jeffrey Ding, has been helping to make sure more AI information flows back from China to the West. This episode's guest, Jeffrey Ding, is a PhD Candidate in international relations at the University of Oxford and a pre-doctoral fellow at Stanford's Center for International Security and Cooperation, sponsored by Stanford's Institute for Human-Centered Artificial Intelligence. He is also a research affiliate with the Centre for the Governance of AI at the University of Oxford. This conversation was recorded in March 2021. To read a transcript of this episode, visit: https://mck.co/forwardthinking Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more.See www.mckinsey.com/privacy-policy for privacy information
In this episode of Forward Thinking, host Michael Chui speaks with Jeffrey Ding, researcher and founder of the ChinAI newsletter, about information asymmetry in artificial intelligence between China and the West. They cover why data may not be like oil, the Chinese industry adage on products, platforms, and standards, “unsexy AI” and more. There's a lot of talk right now about artificial intelligence, or AI, and what it means for global competition. Today's conversation features somebody you probably don't know yet but probably should. He's famous in certain corners of the internet but his work, it turns out, is relevant everywhere. MGI research suggests that while there's AI happening all around the world, there are two places where the most AI development is taking place, and it's the US and China. What's interesting about that is that while a lot of the Chinese AI developers are reading and even coauthoring English-language papers, very few Western AI practitioners are able to keep up with the flow of information in the Chinese language, even when a lot of it is published openly. It's almost like a one-way mirror—and this asymmetry might seem strange in a field where a lot of the work is openly available on the internet. But our guest, Jeffrey Ding, has been helping to make sure more AI information flows back from China to the West. This episode's guest, Jeffrey Ding, is a PhD Candidate in international relations at the University of Oxford and a pre-doctoral fellow at Stanford's Center for International Security and Cooperation, sponsored by Stanford's Institute for Human-Centered Artificial Intelligence. He is also a research affiliate with the Centre for the Governance of AI at the University of Oxford. This conversation was recorded in March 2021. To read a transcript of this episode, visit: https://mck.co/forwardthinking Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more. Read more > Listen to the podcast (duration: 32:17) >
Ahead of Juneteenth, now a federal holiday, we examine how America's economy remains marred by the legacies of slavery and racial discrimination. Dan is joined by McKinsey & Co.'s Shelley Stewart III and Michael Chui to discuss a new report from the McKinsey Global Institute and McKinsey's Institute for Black Economy Mobility, digging into the economic inequities between Black and white Americans, including massive wage and wealth gaps, and what can be done to address them. Learn more about your ad choices. Visit megaphone.fm/adchoices
The Bio Revolution has the potential to transform our lives, and genome editing—the ability to change the DNA sequence in a targeted way using CRISPR-Cas9, is one of the key innovations that has sparked imaginations while also raising its fair share of controversy. What is the origin of this technique? How do we weigh the enormous benefits against the potential risks? And what is its role in solving the global coronavirus pandemic? As part of the McKinsey Global Institute's research on the Bio Revolution, partner Michael Chui spoke with Jennifer Doudna, PhD, one of the scientists who discovered the genome-editing technique CRISPR-Cas9 and leading proponent of its responsible use. Jennifer is a professor of molecular and cell biology and chemistry at the University of California, Berkeley. The Doudna lab pursues a mechanistic understanding of fundamental biological processes involving RNA molecules. To read a transcript of this episode, visit: mck.co/3dEJWhJ To read more about the Bio Revolution, visit: mck.co/biorevSee www.mckinsey.com/privacy-policy for privacy information
The Bio Revolution has the potential to transform our lives, and genome editing—the ability to change the DNA sequence in a targeted way using CRISPR-Cas9, is one of the key innovations that has sparked imaginations while also raising its fair share of controversy. What is the origin of this technique? How do we weigh the enormous benefits against the potential risks? And what is its role in solving the global coronavirus pandemic? As part of the McKinsey Global Institute's research on the Bio Revolution, partner Michael Chui spoke with Jennifer Doudna, PhD, one of the scientists who discovered the genome-editing technique CRISPR-Cas9 and leading proponent of its responsible use. Jennifer is a professor of molecular and cell biology and chemistry at the University of California, Berkeley. The Doudna lab pursues a mechanistic understanding of fundamental biological processes involving RNA molecules. To read a transcript of this episode, visit: mck.co/3dEJWhJ To read more about the Bio Revolution, visit: mck.co/biorev Read more > Listen to the podcast (duration: 35:19) >
Read more > Listen to the podcast (duration: 00:90) > Forward Thinking is a new podcast series hosted by Michael Chui and Anna Bernasek. We want to inform and provoke your thinking by interviewing names you may know—like Nobel prizewinners Jennifer Doudna and Sir Christopher Pissarides—and by introducing up-and-comers you should know. We ask experts to tell us about the key changes they see that will shape our lives, our businesses, and our societies…Including what comes next after COVID-19, global health, climate change, the future of work, diversity, inclusion, inequality, and cutting-edge technology like the bio revolution and artificial intelligence. Interviews are underpinned by deep McKinsey Global Institute research that provides fundamental insights needed by leaders like you.See www.mckinsey.com/privacy-policy for privacy information
Forward Thinking is a new podcast series hosted by Michael Chui and Anna Bernasek. We want to inform and provoke your thinking by interviewing names you may know—like Nobel prizewinners Jennifer Doudna and Sir Christopher Pissarides—and by introducing up-and-comers you should know. We ask experts to tell us about the key changes they see that will shape our lives, our businesses, and our societies…Including what comes next after COVID-19, global health, climate change, the future of work, diversity, inclusion, inequality, and cutting-edge technology like the bio revolution and artificial intelligence. Interviews are underpinned by deep McKinsey Global Institute research that provides fundamental insights needed by leaders like you. Read more > Listen to the podcast (duration: 00:90) >
Thank you for listening to the Leaders, Innovators and Big Ideas podcast, supported by Rainforest Alberta.The podcast that highlights those people who are contributing to and/or supporting the innovation ecosystem in Alberta.Michael Chui Michael Chui enjoys learning about different perspectives and challenges assumptions through questions. He had a diverse career in finance and operations, technology (software), product management (product owner) and regulatory economics including times training as a locomotive engineer. His diverse experience allows him to look at complex ideas through multiple lenses and pinpoint its simplest core values. He is currently unlearning && re-learning how to build intuitive (web) applications and effective architecture solutions as a full stack developer. He is also volunteering with Chartered Professional Accountants (CPA) Alberta to help accountants better adapt to the latest in software and technology.Dr. Byron Chu Byron has a Ph.D. in Biochemistry from the University of Calgary. His studies focused on intrinsic properties of proteins, and today he applies the same scientific principles to data science projects. As a data scientist, Byron is interested in the intersection of data analysis and storytelling, and how numbers can inform and impact on every level of society: from education and the environment to the health issues we may potentially face.Please be sure to share this episode with everyone you know. If you are interested in being either a host, a guest, or a sponsor of the show, please reach out.We are published in Google Podcasts and the iTunes store for Apple Podcasts We would be grateful if you could give us a rating as it helps spread the word about the show.Show SummaryIn an online article, the business publication Forbes recently discussed the importance of teaching K-12 students “computational thinking”. Computational thinking is a way to solve complex problems by breaking them down into steps and finding trends and patterns. In this episode, Rainforest Alberta host Michael Chui chats with Dr. Byron Chu, project manager and data scientist for the Callysto program. Byron talks about why it’s important to teach students computational thinking and what Callysto is doing to bring computational thinking into Grades 5-12 classrooms across Canada. About Callysto, Callysto is a free, online learning tool that helps Grades 5-12 students and teachers across Canada learn and apply in-demand data science skills, including data analysis, visualization, coding, and computational thinking. The online tool’s interactive learning modules are available in a variety of subjects – from math to history – and are aligned with existing curriculums. The Callysto is federally-funded and is led by the non-profit organizations Cybera and the Pacific Institute for the Mathematical Sciences. Callysto: https://callysto.ca/ Callysto Youtube channel: https://www.youtube.com/channel/UCPdq1SYKA42EZBvUlNQUAng Cybera: https://www.cybera.ca/ Jupyter notebook: https://jupyter.org/ Forbes article: "Stop Calculating And Start Teaching Computational Thinking" by Tom Vander Ark. https://www.forbes.com/sites/tomvanderark/2020/06/29/stop-calculating-and-start-teaching-computational-thinking/#3f1856d83786Show Quote:"Computational thinking in combination with data science and open data is a very powerful phenomenon...where industries can share a lot of the knowledge to come up with solutions to apply to teach and educate. ""In the student's first hackathons, we had challenges on Pokemon, Spotify, and Alice in Wonderland. Books can be turned into data. Words can be turned into data. We had a whole exploration of what you can do with natural language processing, even though (the students) don't recognize they are doing natural language processing."Credits...This Episode Sponsored By: Community Now! MagazineEpisode Music: Tony Del DeganCreator & Producer: Al Del DeganSystem Engineering Sponsor: Kris Chase - PODMaster 2020
Guests: Erik Wasson, Bloomberg Congressional reporter, Max Abelson, Bloomberg Businessweek reporter, David Tafuri, Former Obama Campaign Foreign Policy Adviser, and Dr. Michael Chui, partner at the McKinsey Global Institute.
Guests: Erik Wasson, Bloomberg Congressional reporter, Max Abelson, Bloomberg Businessweek reporter, David Tafuri, Former Obama Campaign Foreign Policy Adviser, and Dr. Michael Chui, partner at the McKinsey Global Institute.
How will Artificial Intelligence shape the next decade? Will thisrevolution be a positive force, spurring global growth and improving lives around the world? Or will the benefits flow heavily to those who already have the knowledge and wealth to use these revolutionary technologies? Edie Lush and Claudia Romo Edelman pursue those questionsaround the world. They speak to an author of a major United Nation’s report who says that AI will spur global growth more than earlier innovations like steam power. But who benefits from that growth will be shaped by how well Africa, Latin America and the rest of the Global South absorb and adapt these powerful tools and manage the inevitable disruptions to work. “In some ways, the Luddites weren’t wrong,” says the co author of the report, Michael Chui of McKinsey. In other words, AI can either help achieve the Sustainable Development Goals or move them out of reach. To understand what is already being done in Africa, Edie and Claudia speak with two African experts, Nathalie Munyampendaof the Next Einstein Foundation and Abdigani Diriye from IBM Research in Nairobi. They stress the importance of Africans developing African solutions to solve Africa’s challenges. “The conversation really needs to be around how we can effectively use artificial intelligence to improve the human condition and how we can prepare ourselves and the next generation,” says Diriye. Two special guests cite one basic challenge: inclusion. Christopher Fabian, innovation expert from UNICEF, and Rosemary Leith of the World Wide Web Foundation, note that half the world is not yet on the internet. Those who are not connected do not and will not have access to the powers of AI. This episode also features a conversation about the gig economy with Jennifer Rademaker, Executive Vice President of Global Customer Delivery at Mastercard, the sponsor of Season Two of the Global GoalsCast.
Dr. Michael Chui, partner at the McKinsey Global Institute, McKinsey's business and economics research arm shares what businesses should focus on in terms of AI to move their business forward.
Michael Chui, Senior Partner at McKinsey Global Institute (MGI), and an expert in artificial intelligence, believes that many jobs are going to disappear – including those done by MBAs and doctors – just not as quickly as people think. As he says to Bill Kerr, there is a lag between the rate at which technology advances and the rate at which it is adopted. Just think Star Trek.
Bill Gates portends doomsday is coming. The late Stephen Hawking said we should prepare for our robot overlords to take their thrones. But is the future as glaring as HAL’s red eye? Or is it more complicated than that? What does a future powered by algorithms and big intelligence mean for our lives? What are the game-changing developments made possible by AI? How will AI transform industry and disrupt business? A panel of tech and business experts, including Tim O’Reilly, Gary Marcus, and Michael Chui, discuss how AI will impact our lives, and what business sectors might be most affected. Their conversation is led by Bloomberg Television’s Erik Schatzker. Show Notes Listen to the Aspen Ideas to Go episode, WTF (What's the Future), featuring Tim O'Reilly. Follow our show on Twitter @aspenideas and Facebook at facebook.com/aspenideas. Email your comments to aspenideastogo@gmail.com.
Artificial intelligence research: Dr. Michael Chui, partner at the McKinsey Global Institute, speaks with CXOTalk about his latest report on AI, automation and the impact of technology in the workplace.Chui leads McKinsey’s business and economics research arm in analysis of Big Data, Web 2.0 and collaboration technology, and the Internet of Things.
Artificial intelligence research: Dr. Michael Chui, partner at the McKinsey Global Institute, speaks with CXOTalk about his latest report on AI, automation and the impact of technology in the workplace.Chui leads McKinsey’s business and economics research arm in analysis of Big Data, Web 2.0 and collaboration technology, and the Internet of Things.
Martin Feldstein, Harvard University George F. Baker Professor of Economics, says now is the time for tax reform because the politics are right. Henry Olsen, EPPC Senior Fellow, says President Trump needs to recover his populist mojo. Matt Hornbach, Morgan Stanley Global Head of Interest Rates Strategy, says it's time for the next bond market phase. Michael Chui, McKinsey & Co. Senior Fellow, says there is enough work for people to do, even with the increased use of robots. Learn more about your ad-choices at https://www.iheartpodcastnetwork.com
Martin Feldstein, Harvard University George F. Baker Professor of Economics, says now is the time for tax reform because the politics are right. Henry Olsen, EPPC Senior Fellow, says President Trump needs to recover his populist mojo. Matt Hornbach, Morgan Stanley Global Head of Interest Rates Strategy, says it's time for the next bond market phase. Michael Chui, McKinsey & Co. Senior Fellow, says there is enough work for people to do, even with the increased use of robots.
In a speech to the International Center for Journalists, Fox News Sunday host Chris Wallace put forth the idea that the news media is hastening its own fall from grace in the Trump era. Wallace implored journalists to abandon partisan rhetoric and commentary on President Trump and return to giving context and reporting the facts. Wallace joined Steele & Ungar to elaborate on his argument and weigh in on the firing of Today Show co-host Matt Lauer due to allegations of sexual misconduct. Michael Chui of the McKinsey Global Institute talked about the group's shocking report that automation could wipe out 30 percent of America's workforce over the next two decades.
Dr. Michael Chui of the McKinsey Global Institute. Dr. Michael Chui is a technologist by training, a computer and cognitive scientist, author, and frequent speaker at major global conferences. Stephen W. Maye is your host for Projectified with PMI. In this episode, Stephen talks with Michael Chui who has conducted lots of fascinating research around automation, artificial intelligence, machine learning, robotics, and digitization. Michael shares research on the impact that artificial intelligence will have on the workforce, why A.I. presents new opportunities in the project world, how it affects work and the future potential of work, and how project professionals can prepare themselves to thrive in an emergent, exciting and uncertain landscape. For an easy way to stay up-to-date on Projectified with PMI, follow the podcast at: Itunes, Stitcher, Google Play or pmi.org/podcast. Key Takeaways: [:28] Steven introduces Dr. Michael Chui and he gives us some background into his work [1:40] What Dr. Michael Chui’s research has been about, the motivation behind it and the biggest surprises to come out of it [8:40] Where Michael sees the significant differences in the project world with the adoption of technological automation [12:17] The good news: Emphasis on leadership roles and developing connections with people [14:20] Where Michael anticipates the most significant impacts from automation and digitization [16:25] Where we are from a social acceptance perspective about machines and robotics [19:20] Awareness of robotics and automation adoption across the country and on socioeconomic levels [22:17] How people in professional roles will prepare for a world of increasingly smart technology [24:48] The good news for project management and project leadership: Immense value placed on leadership and motivation skills Links: Michael Chui’s McKinsey & Company Profile
Data and automation have the power to transform business and society. The impact of data on our lives will be profound as industry and the government make greater use of techniques such as artificial intelligence and machine learning. Explore this important topic with two world experts.
Data and automation have the power to transform business and society. The impact of data on our lives will be profound as industry and the government make greater use of techniques such as artificial intelligence and machine learning. Explore this important topic with two world experts.
CSIS Senior Fellow and Deputy Director of the Strategic Technologies Program Denise Zheng, speaks with Michael Chui and Sokwoo Rhee about opportunities for economic growth and the role of government in enabling the Internet of Things. Michael Chui is a partner at the McKinsey Global Institute and Sokwoo Rhee is Associate Director of Cyber-Physical Systems the National Institute of Standards and Technology (NIST).
Next-generation genomics can be described as the combination of sequencing technologies and big data analytics. The potential impact of this disruptive technology in health care will be primarily realized through extending and enhancing lives through faster disease detection, more precise diagnoses, new drugs, and more tailored disease treatments. The technical challenges inherent in genetic engineering technology are great but may be less formidable than the social, ethical, and regulatory concerns it may generate. Please join us for a discussion of the possibilities and the challenges of next-generation genomics and implications for health care worldwide.The panel of speakers include Timothy Behrens, Senior Director, Human Genetics, Genentech, Francis deSouza, President, Illumina Corporation, Robert L. Nussbaum, Chief, Department of Medicine & UCSF Institute for Human Genetics, UCSF.The discussion is moderated by Michael Chui, Partner, McKinsey Global Institute.For more information about this event please visit: http://www.worldaffairs.org/event-calendar/event/1298
Michael Chui est “Senior Fellow” pour le McKinsey Global Institue. Il vit à San Francisco, Californie, où il dirige les recherches sur les impacts que peuvent avoir les technologies de l’information sur l’économie et le business ; technologies telles que les Big Datas, le Web 2.0 et l’internet des objets. Il est le co-auteur de “Big data: The next frontier for innovation, competition and productivity.” Il a travaillé pour des clients dans le secteur High Tech, des medias et de l’industrie des télécoms sur la stratégie; l’innovation et le développement produit, dans l’IT, pour les ventes et le marketing. Ses recherches ont été citées à plusieurs reprises dans des publications du Wall Street Journal, du New-York Times, du Financial Times, de la Fast Company, de Forbes, The Economist, The times of London et des Echos.
Michael Chui est “Senior Fellow” pour le McKinsey Global Institue. Il vit à San Francisco, Californie, où il dirige les recherches sur les impacts que peuvent avoir les technologies de l’information sur l’économie et le business ; technologies telles que les Big Datas, le Web 2.0 et l’internet des objets. Il est le co-auteur de “Big data: The next frontier for innovation, competition and productivity.” Il a travaillé pour des clients dans le secteur High Tech, des medias et de l’industrie des télécoms sur la stratégie; l’innovation et le développement produit, dans l’IT, pour les ventes et le marketing. Ses recherches ont été citées à plusieurs reprises dans des publications du Wall Street Journal, du New-York Times, du Financial Times, de la Fast Company, de Forbes, The Economist, The times of London et des Echos.