Podcasts about mit sloan management review

Josh Weiner, senior vice president of consumer engagement and analytics at CVS Health, is passionate about making health care more personalized, connected, preventative, and accessible. On today's episode, Josh joins Sam and Shervin to explain how the integrated health care company is structured and how it is using AI to achieve those goals. 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 executive producer is Allison Ryder. Guest bio At CVS Health, where Josh Weiner is the senior vice president of consumer engagement and analytics, his priority is personalizing consumer experiences and developing the health care company's app. Previously, he was a health care leader at Meta, where he supported product development, algorithm engineering, and acquisitions. He was also a senior analytics expert at McKinsey and Co. Weiner is a board member at nonprofits Enduring Hearts and Docs for Tots. He holds a bachelor's degree from Carnegie Mellon University and a master's from Northwestern University. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Many of us know Goodwill Industries International as a retailer that accepts and resells donated goods. What the average consumer may not know is that the nonprofit takes in over 5 billion pounds of goods each year — and not all of it can be resold. For those unwanted or unviable items, the organization can either look into recycling or upcycling, and with the help of AI, it's able to efficiently make that determination while also improving its process for sorting and allocating sellable goods for different retail channels. Additionally, Goodwill helps its workforce with career-development skills. Much of this training has been enhanced with AI. Tune in to this episode to hear directly from Goodwill CEO Steve Preston about how the organization is using technology to fulfill a mission that extends beyond the retail store. Read the episode transcript here. Guest bio: As president and CEO of Goodwill Industries International, Steven C. Preston leads a network of 153 local Goodwill organizations with a combined revenue of $8.2 billion. In addition to being a secondhand retail leader, Goodwill is a leading nonprofit provider of workforce training and development in North America. Positioning the organization at the forefront of workforce development has been a top focus for Preston since he joined Goodwill in 2019. He has also forged partnerships with organizations focused on sustainable practices in the secondhand retail marketplace and developed mission-focused marketing efforts to elevate the Goodwill brand. Previously, Preston served in numerous operational and financial leadership positions in both the public and private sectors. After heading the U.S. Department of Housing and Urban Development and the Small Business Administration, he led successful turnarounds as the CEO of Oakleaf Global Holdings and Livingston International. He also served as the CFO of Waste Management and ServiceMaster. 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 executive producer is Allison Ryder. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Suketu Gandhi and Joe Lynch discuss the strategic COO: navigating disruption and driving change. Suketu is a partner and global chair for the Strategic Operations Practice at Kearney, a leading management consulting firm. About Suketu Ghandi Suketu Gandhi is a partner and global chair for the Strategic Operations Practice at Kearney, a leading management consulting firm. Based in Chicago, his expertise covers a wide range of operations topics, with an emphasis on end-to-end supply chains and their redesign for four critical purposes, growth, cost, resilience, and sustainability. Noting that the key to maximizing their effectiveness lies in the combination of human intelligence, AI, and automation, he underpins this with a deep understanding of how global operations work. Suketu's passion for operations work goes back to the earliest days of his career with a major retailer. Now, he puts this knowledge to work for clients throughout the consumer and retail space. Suketu is frequently published on operations transformation topics in outlets such as HBR, MIT Sloan Management Review, and The Wall Street Journal. About Kearney Since 1926, Kearney has been a leading management consulting firm and trusted partner to three-quarters of the Fortune Global 500 and governments around the world. With a presence across more than 40 countries, our people make us who we are. We work impact first, tackling your toughest challenges with original thinking and a commitment to making change happen together. By your side, we deliver—value, results, impact. To learn more about Kearney, please visit www.kearney.com. Key Takeaways: The Strategic COO: Navigating Disruption and Driving Change Kearney's third annual COO survey, in collaboration with AWS, reveals that while COOs anticipate organizational growth in 2025, they foresee significant hurdles related to skills gaps and execution challenges. The research highlights key findings from the survey of over 120 senior operations leaders, indicating a shift in priorities from pure cost efficiency to a more balanced strategy emphasizing innovation, risk management, and the integration of technologies like GenAI in supply chains. The purpose of the survey is to identify the major concerns and strategic shifts among COOs, revealing an "execution gap" and a critical need to address skill shortages and proactively manage risks in an increasingly uncertain global environment. Global & Legacy Powerhouse: Founded in 1926 and headquartered in Chicago, Kearney is a top-tier management consulting firm with a presence in 40+ countries, serving Fortune Global 500 clients across industries. Strategic Expertise at the Core: Renowned for excellence in strategic operations, sourcing, procurement, and transformation — Kearney consistently ranks among global leaders in these areas. Forward-Thinking Insights: Through thought leadership like the FDI Confidence Index and Global Business Policy Council, Kearney shapes conversations on global economics, innovation, and disruption. People-First, Impact-Driven: With a culture rooted in collaboration, inclusion, and purpose, Kearney focuses on delivering measurable change while fostering a diverse and empowered workforce. Learn More About The Strategic COO: Navigating Disruption and Driving Change Suketu Gandhi | Linekdin Kearney | Linkedin Kearney Beyond survival: the new operational playbook separating leaders from laggards in 2025 Manage Capital Investments Like a Supply Chain What Fast-Moving Companies Do Differently Leveraging New Tech to Boost Supply Chain Resilience The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube  

BEST OF In the face of uncertainty and change, how do you ensure you don’t feel lost and defeated? More importantly, how do you ensure that doesn’t happen to the team you lead? Dr Gabriella Rosen Kellerman is the Chief Innovation Officer at BetterUp and she sees firsthand their cross discipline research into what can be done to help human flourishing. Professionally she advises Fortune 500 CEOs and CHROs and contributes regularly to Harvard Business Review, MIT Sloan Management Review and Scientific American Mind, Her book Tomorrowmind, co-authored by Professor Martin Seligman provides research on how to navigate the never-ending cycles of change and unprecedented uncertainty that we are all facing in the present working climate. In this episode Gabriella shares: Her tricks on how you can bring creativity into your workforce Why you need to help your team develop their own sense of meaning if you want them remain with you long term. How to build resilience and use it to survive uncertain times and challenging times Why prospection is a key skill for every leader who wants to grow their teams trust How to master the stories you tell yourself to turn setbacks into growth Key Quotes: “Prospection, our ability to see and plan for the future is an essential part of what builds peoples trust in leaders today." "Recognition is an antidote and it's almost a vaccine for a crisis of mattering." “Resilience doesn't mean that it doesn’t feel incredibly painful and challenging and you may cry and scream and be furious." Find Gabriella’s book via her website or connect with her on Linkedin. My latest book The Health Habit is out now. You can order a copy here: https://www.amantha.com/the-health-habit/ Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha-imber.ck.page/subscribe Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin ImberSee omnystudio.com/listener for privacy information.

In today's episode, Chandra Kapireddy, head of generative AI, machine learning, and analytics at Truist, delves into the evolving landscape of AI with a particular focus on how GenAI tools reshape the way Truist and similar organizations must navigate model risk management and regulations. GenAI is more versatile than traditional AI, he notes, yet its flexibility introduces new challenges around ensuring model reliability, validating outputs, and making sure that AI-driven decisions don't lead to unfair or opaque outcomes. Chandra's responsible AI approach at Truist is focused on risk mitigation while emphasizing the importance of human oversight in high-stakes decision-making. He points out that while GenAI can vastly improve productivity by handling repetitive or analysis-heavy tasks, it's essential to properly train employees in order to use the tools effectively and not over-rely on their outputs, especially given their tendency to hallucinate or produce inaccurate results. Read the episode transcript here. Guest bio Chandra Kapireddy is head of generative AI, machine learning, and analytics, at Truist. He brings over 27 years of experience building and leading world-class data, analytics, and artificial intelligence teams to the financial services firm. Kapireddy has held key leadership positions at some of the industry's leading companies, including Capital One, Wells Fargo, Bank of America, Oracle, and Amazon Web Services. Most recently, he served as managing director and head of AI/ML products for JPMorgan Chase, where he served on the firm's AI Executive Council, which influences its strategy, products, controls, and governance. 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 executive producer is Allison Ryder. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Linda Yao, chief operating officer and head of strategy for Lenovo's Strategy, Solutions, and Services Group and vice president of hybrid cloud and AI solutions, joins us to explain the organization's transition from technology product company to managed services provider. It's now helping organizations with the change management required to implement AI in the enterprise. She shares both a framework around speed, ease, and expertise to facilitate this adoption, as well as the four pillars of AI readiness that Lenovo guides its clients to achieve. Tune in to this episode, also, for Linda's perspective on the role of human connection in what she calls the era of inference, a time when we should focus on the implementation of maturing AI tools. Read the episode transcript here. Guest Bio: Linda Yao serves as vice president of hybrid cloud and AI solutions at Lenovo. Yao recently also took on the role of chief operating officer and head of Lenovo's Strategy, Solutions, and Services Group and established the company's AI Center of Excellence. Previously, at Boeing, she incubated a data science practice in the U.S. and India, built an M&A team, and oversaw investments for one of the largest corporate retirement plans in the world. She earned her finance chops at IBM in New York and Shanghai. Yao earned her bachelor's and master's degrees from Harvard University and an engineering certificate from MIT. She is an active liaison for the U.S. Presidential Scholars Foundation and the YoungArts, a national foundation. 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 executive producer is Allison Ryder. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Harvard Business School professor Raffaella Sadun's research has historically focused on digital reskilling. Now, rapid technological changes — like AI — are reshaping the nature of work. Raffaella's research has explored how AI might empower those with intermediate expertise, such as store managers and blue-collar workers, to become more efficient and satisfied in their roles. She shares a bit about her research on today's episode of Me, Myself, and AI and highlights the potential for AI to improve teamwork and innovation by bridging the gaps between different functional teams. Her experiments show that AI can enhance productivity and output quality, sometimes even substituting for team collaboration, while also improving speed and efficiency in problem-solving tasks. Read the episode transcript here. Guest bio: Raffaella Sadun is the Charles E. Wilson Professor of Business Administration at Harvard Business School, where she cochairs the Project on Managing the Future of Work and is coprincipal investigator of the Digital Reskilling Lab. Her research focuses on managerial and organizational drivers of productivity and growth in corporations and the public sector. She cofounded several large-scale projects to measure management practices and managerial behavior in organizations, such as the World Management Survey, the Executive Time Use Study, and U.S. Census Bureau's Management and Organizational Practices Survey of hospitals. 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Today's episode is a bonus drop from our friends over at the MIT CSAIL Alliances podcast. We'll back in two weeks for Season 11 of Me, Myself, and AI. David Autor, the Daniel (1972) and Gail Rubinfeld Professor, Margaret MacVicar Faculty Fellow in MIT's Department of Economics, says that AI is “not like a calculator where you just punch in the numbers and get the right answer. It's much harder to figure out how to be effective with it.” Offering unique insights into the future of work in an AI-powered world, Autor explains his biggest worries, the greatest upside scenarios, and how he believes we should be approaching AI as a tool, and addresses how AI will impact jobs like nursing and skilled trades. Read the episode transcript here. Studies and papers referenced in this conversation:  AI and Product Innovation AI and the Gender Gap Robotics and Nursing Homes CSAIL Alliances connects business and industry to the people and research of MIT's Computer Science and Artificial Intelligence Laboratory. Each month, the CSAIL podcast features cutting-edge MIT and CSAIL experts discussing their current research, challenges, and successes, as well as the potential impact of emerging tech. Follow the podcast 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Barbara Wixom, principal research scientist at MIT's Center for Information Systems Research (CISR), draws on 30 years of research in this bonus episode of the Me, Myself, and AI podcast. She believes data monetization is the key to enterprise success with AI and breaks down why. With hosts Sam Ransbotham and Shervin Khodabandeh, Barb details case examples to highlight best practices for AI implementation and how to measure value, as well as how data governance and ethics play a critical role in successful AI projects. They also talk about what companies get wrong and the challenges and rewards of AI research. Read the episode transcript here. Guest bio: Barbara Wixom is a principal research scientist at the MIT Center for Information Systems Research (CISR). Her academic research explores how organizations generate business value from data assets. She is the author of the award-winning book, Data Is Everybody's Business: The Fundamentals of Data Monetization, which she wrote to inspire workers to engage in data monetization. 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

In today's business world, uncertainty is no longer the exception—it's the rule. The speed of technological advancements, shifting workforce dynamics, and ever-changing market conditions demand that organizations become more agile than ever before. But here's the challenge: Traditional workplace learning simply can't keep up. The way companies have trained employees for decades—through structured courses, one-size-fits-all programs, and annual training sessions—no longer matches the pace of real-world change. That's where AI-augmented learning comes in. In this episode, Dr. Bray dives deep into new research from MIT Sloan Management Review and Boston Consulting Group, which reveals that companies integrating AI into their learning processes—what the study calls Augmented Learners—are significantly better at navigating disruption. These organizations are 1.6 times more prepared to handle workforce, technological, and market shifts compared to companies that still rely on traditional learning models. But what does that mean in practice? It means companies that harness AI for learning can identify skill gaps before they become problems, provide employees with real-time knowledge on demand, and create adaptable teams that thrive in uncertainty. Imagine a workplace where learning happens in the moment—not after the fact. Instead of waiting for a scheduled training session, employees can access AI-driven coaching tailored to their roles, helping them solve challenges in real time. AI can analyze market trends and predict which skills will be needed in the future, giving companies a strategic advantage in workforce development. Even better, AI-powered tools ensure that when employees leave, their institutional knowledge doesn't walk out the door with them. In an era of high turnover and talent shortages, this capability is a game-changer for HR, leadership development, and long-term business strategy. This shift isn't just theoretical. Companies like Estée Lauder are already using AI to track real-time consumer trends, allowing them to pivot their strategies instantly and maintain a competitive edge. Leaders in change management and HR are leveraging AI to personalize learning pathways for employees, making professional development more effective and engaging. For executives and strategists, AI is breaking down knowledge silos and enabling better decision-making through smarter insights. The bottom line? AI-driven learning isn't just a nice-to-have—it's quickly becoming the deciding factor between companies that thrive and those that fall behind. If you're in HR, business strategy, innovation, or change management, this episode is a must-listen. AI is no longer just about automation—it's about enhancing human learning and decision-making at every level. Tune in now to discover how AI-powered learning is shaping the future of work—and what your organization needs to do to stay ahead. QUOTES BY DR. BRAY "The ability to learn faster and smarter, both as an individual and as an organization, is what separates businesses that thrive from those that struggle." "Speed equals survival.” "Adaptability and continuous learning are the new currency of success in a rapidly evolving world."  

The most highly anticipated development in AI this year is probably the expected arrival of AI agents, also referred to as “agentic AI”. We are told that AI agents have the potential to reshape how individuals and organizations interact with technology.Our guest to help us explore this is Tom Davenport, Distinguished Professor in Information Technology and Management at Babson College, and a globally recognized thought leader in the areas of analytics, data science, and artificial intelligence. Tom has written, co-authored, or edited about twenty books, including "Competing on Analytics" and "The AI Advantage." He has worked extensively with leading organizations and has a unique perspective on the transformative impact of AI across industries. He has recently co-authored an article in the MIT Sloan Management Review, “Five Trends in AI and Data Science for 2025”, which included a section on AI agents – which is why we invited him to talk about the subject.Selected follow-ups:Tom Davenport - personal siteFive Trends in AI and Data Science for 2025 - MIT Sloan Management ReviewMichael Martin Hammer - WikipediaAI winter - WikipediaAI is coming for the OnlyFans chat industry - FortuneHow Gen AI and Analytical AI Differ — and When to Use Each - Harvard Business ReviewTruth Terminal - The AI Bot That Became a Crypto Millionaire - a16zJim Simons - WikipediaWhy The "Godfather of AI" Now Fears His Own Creation - Curt Jaimungal interviews Geoffrey HintonAttention Is All You Need - Google researchers Apple suspends error-strewn AI generated news alerts - BBC NewsGen AI cuts costs by 30% - London Futurists Podcast episode featuring David Wakeling, partner at A&O ShearmanThe path to agentic automation is UiPath - UiPathMicrosoft CEO Predicts: "AI Agents Will Replace ALL Software" - AI Insights ExplorerNVIDIA CEO Jensen Huang Keynote at CES 2025 - NvidiaPioneering Safe, Efficient AI - ConsciumA New Survey Of Generative AI Shows Lots Of Work To Do - October 2023 article by Tom DavenportGen AI: Too much spend, too little benefit? - Goldman SachsMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

In this episode of "The Lunchtime Series with Kevin Britz," we explore the key leadership skills required to navigate the complexities of 2025, based on the recent MIT Sloan Management Review article by Melissa Swift.

In this episode of The Ethics Experts, Nick welcomes Todd Haugh. Todd Haugh is an Associate Professor of Business Law and Ethics and the Arthur M. Weimer Faculty Fellow in Business Law at Indiana University's Kelley School of Business, where he also serves as the Director of the Institute for Corporate Governance. His scholarship focuses on white collar and corporate crime, business and behavioral ethics, and federal sentencing policy. His work has appeared in top law and business journals, including the Northwestern University Law Review, Notre Dame Law Review, Vanderbilt Law Review, and the MIT-Sloan Management Review. LinkedIn: https://www.linkedin.com/in/todd-haugh-811a2137/ Todd's personal website: http://www.businessethicsbound.com/

In this episode, Tony Ulwick shares his career journey from IBM engineer to innovation expert, discussing his groundbreaking methodologies that focus on understanding customer needs to drive successful innovations. Tony shares practical examples and insights on how companies can avoid innovation pitfalls, leverage AI effectively, and achieve significant market success. The conversation emphasizes the importance of being outcome-driven and offers guidance for product leaders and innovators. Episode Highlights: 02:33 Tony's Journey: From IBM to Innovation Expert 04:47 Understanding Customer Needs and Innovation 07:38 The Importance of Job Maps in Innovation 34:33 The Role of AI in Innovation Tony is the pioneer of Jobs-to-be-Done Theory, the inventor of the Outcome-Driven Innovation® (ODI) process, and the founder of strategy and innovation consulting firm Strategyn. Tony has applied his ODI process at some of the world’s leading companies and across nearly all industries to inform breakthrough innovations—achieving a success rate that is 5 times better than the industry average. Philip Kotler calls Tony “the Deming of innovation” and credits him with bringing predictability to innovation. Published in Harvard Business Review and MIT Sloan Management Review, Tony is also the author of best sellers What Customers Want and JOBS TO BE DONE: Theory to Practice. Connect with Tony: Company Website: Strategyn.comLinkedIn: https://www.linkedin.com/in/tonyulwick/ For more insights: Book a call: https://bit.ly/4cToGDs Follow me on my YouTube Channel: https://bit.ly/47GgMdn Sign up for my Weekly Newsletter: https://bit.ly/3T09kVc See omnystudio.com/listener for privacy information.

Our guest on this week's episode is Ian Wilson, Senior Analyst with Intelligence Solutions at Everstream Analytics. At what seems like the 11th hour, dockworkers and ports on the East and Gulf Coasts agreed to a new contract. What will labor peace mean for shippers using those ports? Our guest has some insights. He also talks about whether there will be possible impacts for shippers on the West Coast due to the out-of-control wildfires raging around Los Angeles.In a report in the MIT Sloan Management Review, researchers Tom Davenport and Randy Bean wrote about five trends in AI and data science that all businesses should be paying attention to this year. AI has become a very hot topic in logistics circles in the past couple of years, so any research that sheds light on how this technology is affecting business and commerce is something we want to pay attention to. The five trends range from the promise of agentic AI to the struggle over which C-suite role should oversee data and AI responsibilities.We're in a part of the business cycle where it can be pretty difficult to find enough warehouse space to rent or lease, whether you're a manufacturer, retailer, or a 3PL. This information comes from a quarterly measurement from the commercial real estate firm Cushman & Wakefield. The report said the overall national industrial real estate vacancy rate edged higher in the fourth quarter. More vacancy means it's easier to find a place to rent—although vacancy still remains well below pre-pandemic levels. We discuss the report's outlook for available space in the new year. Supply Chain Xchange  also offers a podcast series called Supply Chain in the Fast Lane.  It is co-produced with the Council of Supply Chain Management Professionals. A series of ten episodes is now available on the "State of Logistics." The episodes provide in-depth looks into the current states of key transportation modes, such as trucking, rail, air, and ocean. It also looks at inventory management, 3PLs and more.  All ten episodes are available to stream now. Go to your favorite podcast platform to subscribe and to listen to past and future episodes. The podcast is also available at www.thescxchange.com.Articles and resources mentioned in this episode:Everstream AnalyticsFive trends in AI and data science for 2025Demand for warehouse space cooled off slightly in fourth quarterVisit Supply Chain XchangeListen to CSCMP and Supply Chain Xchange's Supply Chain in the Fast Lane podcastSend feedback about this podcast to podcast@agilebme.comPodcast is sponsored by: CSCMP EDGE 2025Other linksAbout DC VELOCITYSubscribe to DC VELOCITYSign up for our FREE newslettersAdvertise with DC VELOCITYTop 10 Supply

After trying his luck at the stock market, Ronald den Elzen, pursued a career in technology leadership instead. Today, as the chief technology and digital officer of The Heineken Company, he encourages his team to think about the legacy beverage company as a 160-year-old startup with global scale, operating with multiple brands in more than 80 markets. When members of his team can work with agility and less fear of making mistakes, he finds they are more successful at rolling out new technology initiatives. Heineken uses AI extensively in areas including revenue management, promotional optimization, and logistics, but Ronald believes much value still comes from traditional AI — such as predictive analytics and machine learning models — rather than chasing the latest trends like generative AI (GenAI). Heineken is focused on using these foundational tools to drive tangible. Read the episode transcript here. Guest bio: Ronald den Elzen, chief digital and technology officer at The Heineken Company, has been with the international brewer since 1996. He previously held roles in data and transformation and served as the CEO of Heineken USA. Den Elzen lives in the Netherlands. 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

It's not just the MAGA crowd who are concerned with government waste and inefficiency. In a convincing Wall Street Journal op-ed, best-selling tech author Larry Downes questions the need for a thousand Social Security offices around the country. Downes argues that the federal government's resistance to digital transformation has resulted in staggeringly low user satisfaction rates - just 12% for federal government services. Despite more than 85% of federal workers being based outside Washington, there have been few serious attempts to modernize these services through e-government initiatives. While the incoming Trump administration's "Doge" team has talked about reforming government, Downes remains skeptical about implementation, citing political obstacles rather than technical challenges. He notes that while Estonia and Denmark offer successful e-government models, American reform efforts face unique hurdles, including congressional resistance to closing local offices and bureaucratic procurement processes that often outlast technology cycles. Downes suggests that modernization could significantly improve service delivery while reducing costs, though it would impact federal employment. He emphasizes that this isn't about privatization but rather bringing government services into the digital age - something that could potentially serve as a safeguard against authoritarian overreach by systematizing government processes in transparent, digital systems.Larry Downes is the author of five books on the impact of technology on business, society, and the law. His first book, “Unleashing the Killer App” (Harvard Business School Press), was an international bestseller, with over 200,000 copies in print. The Wall Street Journal named it one of the five most important books ever published on business and technology. His most recent book is “Pivot to the Future” (Public Affairs), co-authored with Omar Abbosh and Paul Nunes of Accenture. It has been nominated for the 2019 Thinkers50 Strategy Award. Downes writes the “Innovations” column for The Washington Post and is a regular contributor to Harvard Business Review. He was previously a columnist for Forbes, CNET and The Industry Standard. He has written for a variety of other publications, including The New York Times, USA Today, Inc., The Economist, Wired, MIT Sloan Management Review, Entrepreneur, Fast Company, Recode, The Hill, Congressional Quarterly, Slate, The European Business Review, The Boao Review, and The San Francisco Chronicle. Downes has held faculty appointments at The University of Chicago, Northwestern University, and the University of California—Berkeley, where he was Associate Dean of the School of Information. From 2006-2010, he was a Fellow with the Stanford Law School Center for Internet and Society. From 2015-2019, he was Project Director at the Georgetown Center for Business and Public Policy at the McDonough School of Business. Downes testifies frequently before Congress on issues related to the regulation of technology, including those dealing with antitrust, privacy, communications policy, media law, and the role of the Federal Communications Commission and the Federal Trade Commission in the 21st century. He holds a B.A. from Northwestern University and a J.D. from the University of Chicago. From 1993-1994, he served as law clerk to the Hon. Richard A. Posner, Chief Judge, U.S. Court of Appeals for the Seventh Circuit. He lives in Berkeley, CA.Named as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting KEEN ON, he is the host of the long-running How To Fix Democracy show. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children.Keen On is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

This episode is brought to you by the⁠ Resilience Institute Certifications and hosted by ⁠Brad Hook⁠. Order your copy of Brad's new book, ⁠Start With Values⁠, now! Book a Resilience Speaker. Guest Overview: Susan Cantrell, Vice President of Products Workforce Strategies at Deloitte Consulting, is a renowned expert on the future of work and human capital. She is the co-author of Workforce of One and has been widely published in Harvard Business Review, Wall Street Journal, and MIT Sloan Management Review. Susan brings decades of expertise in exploring innovative workforce strategies that bridge human sustainability and business outcomes. LinkedIn: Susan Cantrell Deloitte Insights: Explore the Human Capital Trends Report and more at Deloitte Insights. In this episode, Susan Cantrell dives into the concept of human sustainability, explaining how organizations can create value for workers as human beings while driving better business outcomes. She shares insights from Deloitte's research, discusses the evolving role of AI and technology in the workplace, and highlights leadership competencies essential for guiding organizations through rapid change. Susan also emphasizes the importance of microcultures, personalized workforce strategies, and a balanced approach to change management. Key Takeaways 1. Human Sustainability: Supporting worker well-being, equity, and growth drives long-term business success. 2.AI as an Enabler: AI augments human capabilities, fostering better outcomes when used ethically and transparently. 3. Microcultures: Allowing diverse team dynamics strengthens innovation and aligns with organizational values. 4. Future-Ready Leadership: Leaders must co-create, communicate openly, and prioritize imagination to navigate change. 5. Personalized Strategies: Hyper-personalized approaches engage workers and align individual and business goals. 6. Experimentation and Play: Creating space for iterative learning builds resilience and drives innovation.

Over the past year, we've seen generative AI explode. In this episode, we review insights shared with us from five prior guests — from Microsoft, GitHub, Meta, Partnership on AI, and NASA — and consider what's changed, what's the same, and what new concerns organizations face. With GenAI tools becoming ubiquitous and democratized, organizations grapple with how to use them at the enterprise level and how to regulate their use for employees. They're also struggling with openness and transparency in the name of knowledge sharing while protecting competitive advantage. The balance between openness, competition, and responsible deployment of AI is crucial as AI tools continue to evolve. Read the episode transcript here. For more, listen to these prior episodes in full: Out of the Lab and Into a Product: Microsoft's Eric Boyd If 10% of the World Were Developers: GitHub's Mario Rodriguez Sharing AI Mistakes: Partnership on AI's Rebecca Finlay Building Connections Through Open Research: Meta's Joelle Pineau AI on Mars: NASA's Vandi Verma 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Tony Ulwick is the pioneer of the Jobs-to-be-Done Theory, the inventor of the Outcome-Driven Innovation® (ODI) process, and the founder of strategy and innovation consulting firm Strategyn. What is Outcome - Driven Innovation and why did Tony decide to make it open-source? What did your career as an engineer teach you about running a business? What causes failure and how can you diminish the risk of failure? What metrics reduce failure and how does WSJ know immediat ely that IBM's product was a failure? Why don't more companies adopt this process? HBR 2002 and HBR 2016 promote this process. How do you help companies implement the innovation and what are some of the causes of failure? Tony Ulwick Tony Ulwick is the pioneer of the Jobs-to-be-Done Theory, the inventor of the Outcome-Driven Innovation® (ODI) process, and the founder of strategy and innovation consulting firm Strategyn. Tony has applied his ODI process at some of the world's leading companies and across nearly all industries to inform breakthrough innovations — achieving a success rate that is 5 times better than the industry average. Philip Kotler calls Tony “the Deming of innovation” and credits him with bringing predictability to innovation. Publishe d in Harvard Business Review and MIT Sloan Management Review, Tony is also the author of best sellers What Customers Want and JOBS TO BE DONE: Theory to Practice. Excellent Executive Coaching Podcast If you have enjoyed this episode, subscribe to our podcast on iTunes. We would love for you to leave a review. The EEC podcasts are sponsored by MKB Excellent Executive Coaching that helps you get from where you are to where you want to be with customized leadership and coaching development programs. MKB Excellent Executive Coaching offers leadership development programs to generate action, learning, and change that is aligned with your authentic self and values. Transform your dreams into reality and invest in yourself by scheduling a discovery session with Dr. Katrina Burrus, MCC to reach your goals. Your host is Dr. Katrina Burrus, MCC, founder and general manager of Excellent Executive Coaching a company specialized in leadership development.

What do academics have to offer that practitioners do not already have? They have the data academics want. They can analyse it by themselves, sometimes better than academics. They are also not reading our articles. So why would academics bother engaging with them? Why should we even bridge that perceived or existing gap between theory and practice? Because academics need to dip their toes into practice, and they need to mingle with industry to stay relevant. So says Jonny Holmström, director and co-founder of the Swedish Center for Digital Innovation. He has been at the forefront of doing academic research that blends theory and practice, rigor and relevance, and he knows a thing or two about how to do so successfully. His secret? Maximize the gap between academics and practitioners, don't close it. References Holmström, J., Magnusson, J., & Mähring, M. (2021). Orchestrating Digital Innovation: The Case of the Swedish Center for Digital Innovation. Communications of the Association for Information Systems, 48(31), 248-264. Churchman, C. W. (1972). The Design of Inquiring Systems: Basic Concepts of Systems and Organization. Basic Books. Latour, B. (2005). Reassembling the Social: An Introduction to Actor-Network Theory. Oxford University Press. Holmström, J. (2022). From AI to Digital Transformation: The AI Readiness Framework. Business Horizons, 65(3), 329-339. Recker, J., Bockelmann, T., & Barthel, F. (2024). Growing Online-to-Offline Platform Businesses: How Vytal Became the World-Leading Provider of Smart Reusable Food Packaging. Information Systems Journal, 34(1), 179-200. Abbasi, A., Somanchi, S., & Kelley, K. (2025). The Critical Challenge of using Large-scale Digital Experiment Platforms for Scientific Discovery. MIS Quarterly, 49, . Sandberg, J., Holmström, J., & Lyytinen, K. (2020). Digitization and Phase Transitions in Platform Organizing Logics: Evidence from the Process Automation Industry. MIS Quarterly, 44(1), 129-153. Werder, K., Seidel, S., Recker, J., Berente, N., Kundert-Gibbs, J., Abboud, N., & Benzeghadi, Y. (2020). Data-Driven, Data-Informed, Data-Augmented: How Ubisoft's Ghost Recon Wildlands Live Unit Uses Data for Continuous Product Innovation. California Management Review, 62(3), 86-102. Sting, F. J., Tarakci, M., & Recker, J. (2024). Performance Implications of Digital Disruption in Strategic Competition. MIS Quarterly, 48(3), 1263-1278. Tarakci, M., Sting, F. J., Recker, J., & Kane, G. C. (2024). Three Questions to Ask About Your Digital Strategy. MIT Sloan Management Review, July, . Davenport, T. H. (1993). Process Innovation: Reengineering Work Through Information Technology. Harvard Business School Press. Davenport, T. H. (1998). Putting the Enterprise into the Enterprise System. Harvard Business Review, 76(4), 121-131. Schecter, A., Wowak, K. D., Berente, N., Ye, H., & Mukherjee, U. (2021). A Behavioral Perspective on Service Center Routing: The Role of Inertia. Journal of Operations Management, 67(8), 964-988. Sundberg, L., & Holmström, J. (2024). Innovating by Prompting: How to Facilitate Innovation in the Age of Generative AI. Business Horizons, 67(5), 561-570. Kronblad, C., Essén, A., & Mähring, M. (2024). When Justice is Blind to Algorithms: Multilayered Blackboxing of Algorithmic Decision Making in the Public Sector. MIS Quarterly, 48(4), 1637-1662.

Mary Davis, CEO of Special Olympics, wants the people she represents to “have a seat at the table” as AI evolves. In this episode of the Me, Myself, and AI podcast, Davis talks about her organization's mission along with the growing role of AI and how it's crucial to ensure that people with intellectual disabilities — a group often overlooked in tech discussions — are included in AI development. Special Olympics helps people with intellectual disabilities through sports, education, and leadership programs. Its Unified Champion Schools program is an inclusive education initiative that benefits all students, both those with and without intellectual disabilities, reduces bullying, and improves academic performance. Mary also shares the results of a study conducted by the Special Olympics and Harvard University citing strong support from parents, teachers, and the athletes themselves to use AI to support people with intellectual disabilities, especially in educational contexts. She sees AI as a powerful tool for “leveling the playing field” and describes specific applications that the Special Olympics is using for employees and athletes. Read the episode transcript here. Guest bio: Mary Davis has been the CEO of Special Olympics since 2016. She joined the nonprofit organization soon after college as a volunteer and coach in her native Ireland. She progressed through various leadership roles before becoming its global CEO: She was CEO of the Special Olympics World Summer Games Dublin 2003, the first such event held outside the United States; CEO of Special Olympics Ireland; and president and managing director of Special Olympics Europe/Eurasia. Davis was awarded a Person of the Year Award for her work on the 2003 World Summer Games and her years of service with Special Olympics Ireland. 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

On Sept. 4, 2024, Me, Myself, and AI host Sam Ransbotham moderated a panel discussion at a Georgetown University/World Bank event, Jobs in the Age of AI. Afterward, he interviewed keynote speaker Carl Benedikt Frey, Dieter Schwarz Associate Professor of AI and Work at the Oxford Internet Institute, and panelist Karin Kimbrough, LinkedIn's chief economist. In this bonus episode recorded during this discussion, hear from Frey and Kimbrough about how artificial intelligence is impacting workers, labor trends, and the economy. Read the episode transcript here. For further information: Watch sessions from the AI in Action event on demand. Access on-demand recordings from all prior AI in Action events. Read event organizers Timothy DeStefano and Jonathan Timmis's paper, “Do Capital Incentives Distort Technology Diffusion? Evidence on Cloud, Big Data, 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Rebecca Finlay, CEO of Partnership on AI (PAI), believes that artificial intelligence poses risks — and that organizations should learn from one another and help others avoid the same hazards by disclosing the mistakes they've made in implementing the technology. In this episode, Rebecca discusses the nonprofit's work supporting the responsible use of AI, including how it's incorporating global perspectives into its AI governance efforts. She also addresses the complexities of integrating AI into the workforce and the misleading narrative around the inevitability of AI taking over humans' jobs. She advocates for a proactive approach to adopting the technology instead, where organizations, policy makers, and workers collaborate to that ensure AI enhances jobs rather than eliminating them. 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

In this episode, Dr Nigel Paine and Martin Couzins take a look at MIT Sloan Management Review research that shows only 51% of the top team can list their organisation's top three priorities, dropping to 13% of frontline supervisors. 

In the face of uncertainty and change, how do you ensure you don't feel lost and defeated? More importantly, how do you ensure that doesn't happen to the team you lead? Dr Gabriella Rosen Kellerman is the Chief Innovation Officer at BetterUp and she sees firsthand their cross discipline research into what can be done to help human flourishing. Professionally she advises Fortune 500 CEOs and CHROs and contributes regularly to Harvard Business Review, MIT Sloan Management Review and Scientific American Mind, Her book Tomorrowmind, co-authored by Professor Martin Seligman provides research on how to navigate the never-ending cycles of change and unprecedented uncertainty that we are all facing in the present working climate.   In this episode Gabriella shares: -        ✨ Her tricks on how you can bring creativity into your workforce -       

Jeremy Kahn's investigation into the risks and effects of artificial intelligence are reflected in a new book, Mastering AI: A Survival Guide to Our Superpowered Future. But he has also written extensively about the technology in his role as Fortune magazine's AI editor. On today's episode, he joins Sam and Shervin to share the insights on AI that he has gained through his work. heir conversation explores a range of subjects, including people's growing reliance on AI technology — specifically, generative AI, whose outputs are difficult, if not impossible, to trace back to a reliable source. They also discuss AI's effect on critical thinking, how best to educate people about the technology's risks and limitations, the value of cultivating employees' adaptability, and how GenAI's ability to simulate human interactions could be affecting people's real-life interpersonal skills. Read the episode transcript here.  Guest bio: Jeremy Kahn is an award-winning journalist for Fortune magazine, where he covers artificial intelligence and other emerging technologies. In addition to writing cover stories and features, he pens Fortune's weekly “Eye on AI” newsletter and cochairs its Brainstorm AI technology conferences in his role as AI editor. Previously, he wrote about technology, including AI, for Bloomberg. His writing on a range of subjects has also appeared in The New York Times, Newsweek, The Atlantic, Smithsonian magazine, The Boston Globe, The New Republic, and Slate. He has reported from India and much of South Asia, the Ivory Coast, Iraq, Venezuela, and most countries in Western Europe. He is the author of Mastering AI: A Survival Guide to Our Superpowered Future (Simon & Schuster, 2024). 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Alessandra Sala, senior director of data science and AI at Shutterstock, brings an impressive background in responsible AI to her role. Also the global president of Women in AI and cochair of the Women4Ethical AI platform at UNESCO, Alessandra joins this episode to describe how Shutterstock, widely known as a stock photo company, has become a go-to destination for creative assets — and AI training data. Alessandra outlines Shutterstock's content acquisition and royalty models, which reward contributors whose assets are used to train third parties' AI models and have set the standard for other stock media companies. She argues that these ethical approaches aren't just a moral choice — they offer strategic advantage, given that these assets are integral to shaping the future of AI-generated content. Learn how Alessandra's team is leading the charge in ethical AI and redefining the creative landscape. Read the episode transcript here. For more on model collapse — when AI models are trained on AI-generated content — see this recent New York Times article, “When AI's Output Is a Threat to AI Itself.” Guest Bio Alessandra Sala is the senior director of AI and data science at Shutterstock. She has acquired more than 10 years of experience in research and innovation through her work in both academic and commercial environments. Sala is passionate about advanced analytics, machine learning, and computational models, with a focus on transitioning innovation from research to products. 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Saket Srivastava, CIO at work management platform Asana, has had technology roles at organizations such as General Electric, IBM, and Fujitsu, moving from back-end IT services positions to more strategic business leadership roles. Asana has already been working with artificial intelligence for several years, Saket notes, and has seen the technology's role evolve: Rather than simply optimizing tasks, it now often acts as more of a teammate as it's integrated into core workflows to enhance productivity by taking on cognitive tasks like writing project status updates. Saket joins this episode to share his observations about the evolution of CIOs from back-end IT managers to front-line business leaders driving innovation and strategy, especially in the context of AI. He also discusses the benefits of being part of a CIO community in which people freely share their knowledge and experience and support one another as they navigate a rapidly evolving tech environment. Read the episode transcript here. Guest bio: Saket Srivastava is the CIO for work management platform Asana. He oversees the company's educational and information technology organization, which involves optimizing technology systems and processes, connecting technology strategy to overarching business strategy, and ensuring that technology infrastructure supports organizational goals. Previously, Srivastava held executive positions at Square, Guidewire Software, and other leading technology companies. He holds a master's degree from the Institute of Management Technology, Ghaziabad and an MBA from the University of California, Berkeley's Haas School of Business. 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Experiential and cognitive diversity help a team thrive. Specifically, an organizational culture that welcomes neurodivergent people limits groupthink risks and helps to foster innovation, translating into a competitive edge. To reap these benefits, companies are realizing they need to do more to both support their existing neurodivergent employees and recruit more.In this episode, author, cognitive scientist and neurodivergent business leader Maureen Dunne joins Wesley and Kim to discuss the benefits neurodiverse employees bring to the workplace and how leaders can build a culture that allows them to succeed. DR. MAUREEN DUNNE is a bestselling author, cognitive scientist, global keynote speaker, faculty member, board director, and neurodivergent business leader driving systems change in business, technology, education, and public policy.As CEO of Autism Community Ventures, a neurodiversity consultancy firm, Dr. Dunne has been retained by some of the world's top brands, Fortune 500 companies, leading start-ups, and global non-profit organizations as a neurodiversity expert and organizational change leader with over two decades of experience.Her work has been featured widely in major media, including Forbes, Bloomberg, MIT Sloan Management Review, Fast Company, Big Think, Armchair Expert with Dax Shepard, SHRM, TechCrunch, People Management Magazine, Chicago Tribune, DiversityQ, UNLEASH, Guy Kawasaki's Remarkable People, and Inside Higher Ed. Dr. Dunne has been a Keynote Speaker at the United Nations, Stanford University, London Tech Week, the National Science Foundation, and other prominent venues. She has also served as a featured speaker at The Atlantic Festival, the Global Education Summit, TechCrunch Disrupt, The Next Web Conference, Cornell University, Young Presidents' Organization (YPO), and LEGO Foundation.Maureen is also the author of the 2024 bestselling book, The Neurodiversity Edge. The Neurodiversity Edge made the USA Today National Bestseller List (Top 150 books across all genres), Barnes & Noble Top 100 Books, Porchlight Book Company's Business Book Bestseller List, as well as #1 New Bestseller in several categories on Amazon, including Human Resources and Personell Management, Business Diversity & Inclusion and Autism Spectrum Disorders. SHRM (Society for Human Resource Management) selected Dr. Dunne's book as one of twelve to feature on its recommended 2024 summer reading list. It was also selected as an Editor Pick at Audible to be featured during Neurodiversity Acceptance Month.She is the first community college graduate to be awarded the prestigious Rhodes Scholarship for study at New College, Oxford and is a former National Science Foundation Fellow. She currently serves as a faculty affiliate at the Discovery Partners Institute, a billion-dollar public/private partnership to drive economic development through business innovation and entrepreneurship and as an advisory board member at Cornell University. She is the former President of the Illinois Community College Trustees Association where she drove the legislative and policy agenda for the state of Illinois, the third largest community college system in the United States with 48 member colleges, serving over 700,000 students. At the national level, she represents the interests of more than 12 million students in the USA and beyond. In these leadership roles, she has driven real-world change in workforce development, education, and policy, paving new economic opportunity pathways for neurodivergent people around the world.She received joint BA/MA degrees from the University of Chicago, her MSc from the London School of Economics, and her doctorate from the University of Oxford, where she attended as a Rhodes Scholar.About Maureen Dunne

Professor of Finance at the MIT Sloan School of Management and CSAIL Andrew Lo believes AI can help everyday consumers make important financial decisions by democratizing access to quality finance advice. His research aims to address the challenges of deploying AI in finance by, for example, answering questions around responsibility and engaging with financial advisors to make sure such tools are useful in the field. Professor Lo is the faculty director for the FintechAI@CSAIL research initiative. Find out more about CSAIL Alliances, as well as a full transcript of this podcast, at https://cap.csail.mit.edu/podcasts/how-ai-can-help-financial-decision-making-andrew-lo If you would like to learn more about CSAIL's Professional Development Courses, including the upcoming Driving Innovation with Generative AI, visit here: cap.csail.mit.edu/events-professional-programs. Podcast listeners save 10% on courses with code MITXPOD10. Looking for another great podcast? MIT Sloan Management Review's "Me, Myself, and AI," expert hosts and researchers talk with AI leaders from organizations like NASA, Upwork, Github, and Meta to explore how organizations achieve success with generative AI — and what challenges and ethical considerations they face along the way. Listen to Me, Myself, and AI wherever you stream podcasts. https://link.chtbl.com/pxsEZ4pf?sid=CSAIL

Dr. Megan Reitz is Associate Fellow at Saïd Business School, Oxford University and Adjunct Professor of Leadership and Dialogue at Hult International Business School. She focuses on how we create the conditions for transformative dialogue at work and her research is at the intersection of leadership, change, dialogue and mindfulness. She is on the Thinkers50 ranking of global business thinkers and is ranked in HR Magazine's Most Influential Thinkers listing. Megan has written Dialogue in Organizations and Mind Time and she has just published Speak Out, Listen Upwhich is the second edition of her bestselling book Speak Up, with Financial Times Publishing. Speak Up was shortlisted for the CMI Management Book of the Year 2020. Megan is a contributor to Harvard Business Review and MIT Sloan Management Review. She has presented her research on the BBC, CNBC and Deutsche Welle and she writes for numerous academic and practice-based journals. Her research on employee activism was nominated for the Thinkers50 Breakthrough Idea Award 2021 and her TED talk on the topic has been viewed more than one and a half million times.Her latest research focuses on ‘spaciousness'; how, whilst attending to the task, we can also create, hold and value the space to innovate, reflect, learn and develop relationships, in workplaces that are increasingly experienced as instrumental and addicted to busyness. She is mother to two wonderful teenage daughters who test her regularly on her powers of mindfulness and dialogue.A Quote From This Episode"Many leaders and managers I work with are lovely...but they've got these titles and labels that mean that they're intimidating."Resources Mentioned in This EpisodeMegan's Website (Books, Articles, Podcasts and more!)Book - How to Do Nothing by OdellBook - Saving Time by OdellGuided Meditations by Tara BrachGuided Meditations by Michael Chaskalson About The International Leadership Association (ILA)The ILA was created in 1999 to bring together professionals interested in studying, practicing, and teaching leadership. Register for ILA's 26th Global Conference in Chicago, IL - November 7-10, 2024.Adult Development Pre-Conference SessionAbout  Scott J. AllenWebsiteWeekly Newsletter: The Leader's EdgeBlogMy Approach to HostingThe views of my guests do not constitute "truth." Nor do they reflect my personal views in some instances. However, they are views to consider, and I hope they help you clarify your perspective. Nothing can replace your reflection, research, and exploration of the topic.

Boston Consulting Group (BCG) is changing the conversation around generative AI... literally. The $12 billion global consulting firm produces a podcast called Imagine This, where the host converses with a top-notch chatbot called GENE. The bot's data set contains BCG's cream-of-the-crop thought leadership, making it the ideal guinea pig to discuss the place of generative AI in thought leadership. Spurring BCG's AI initiative and its impactful thought leadership strategy is Paul Michelman, our next guest on Everything Thought Leadership. The BCG editor in chief has made a 30-year career in thought leadership that has taken him to the top of Harvard Business Review, strategy+business, and MIT Sloan Management Review—in that order. Paul has joined Bob Buday to discuss his career, the impact of generative AI in thought leadership, writers versus generative AI, and BCG's AI initiatives (including GENE and an upcoming tool called “Scribe”). “Blueprint” by Jahzzar is licensed under CC BY-SA 4.0. Music set to dialogue. https://freemusicarchive.org/music/Jahzzar/Ashes_1206/blueprint/ https://freemusicarchive.org/music/Jahzzar/ https://creativecommons.org/licenses/by-sa/4.0/

Deb Mashek reveals the critical factors that make workplace collaborations less painful and more productive. — YOU'LL LEARN — 1) The key ingredients of great collaboration 2) Why hiring good collaborators isn't enough 3) The key questions to kickstart great collaborations Subscribe or visit AwesomeAtYourJob.com/ep982 for clickable versions of the links below. — ABOUT DEB — Dr. Deb Mashek, PhD is an experienced business advisor, professor, higher education administrator, and national nonprofit executive. She is the author of the book Collabor(h)ate: How to build incredible collaborative relationships at work (even if you'd rather work alone). Named one of the Top 35 Women in Higher Education by Diverse: Issues in Higher Education, she has been featured in media outlets including MIT Sloan Management Review, The New York Times, The Atlantic, Inc., Forbes, Fortune, The Hechinger Report, Inside Higher Ed, Reason, Business Week, University Business Insider, and The Hill. She writes regularly for Reworked and Psychology Today.Deb is the founder of Myco Consulting LLC, where she helps networked organizations (e.g., consortia, collaboratives, associations, federations, etc.) avoid the predictable pitfalls of complex, multi-stakeholder initiatives so that they can drive impact and achieve big visions. A member of the Association for Collaborative Leadership, Deb has been an invited speaker on collaboration and viewpoint diversity at leading organizations including the United Nations, Siemens, and the American Psychological Association.• Book: Collabor(h)ate: How to build incredible collaborative relationships at work (even if you'd rather work alone) • Book Website: Collaborhate.com • Website: DebMashek.com — RESOURCES MENTIONED IN THE SHOW — • Article: "36 Questions to Fall In Love" • Book: The Good Fight: Use Productive Conflict to Get Your Team and Organization Back on Track by Liane Davey • Research: "The Experimental Generation of Interpersonal Closeness: A Procedure and Some Preliminary Findings" by Arthur Aaron, Edward Melinat, Elaine Aaron, Robert Vallone, Renee Bator — THANK YOU SPONSORS! — • Jenni Kayne. Use the code AWESOME15 to get 15% off your order!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

We're thrilled to welcome someone impactful to our journey, an acclaimed author, keynote speaker and inclusion specialist, Denise Hamilton! Get an exclusive peek into the heart and mind behind 'Indivisible,' and hear Denise share her journey and inspiration for writing this compelling book and how she unlocks the power of teams. Learn More About Our Guest… Considered the Secret Weapon of CEOs! Denise Hamilton is an author, speaker and consultant who focuses on the people side of change. Whether it's remote work, AI or a diversifying workforce, today's leaders need new skills to navigate our rapidly changing world. Denise leverages her 25 years of executive experience with Fortune 500 organizations like AOL and CBRE to provide solutions that support employees and the bottom line. Denise is an irrationally optimistic believer in our ability to solve problems rather than just name them. Her superpower is the ability to discuss challenging topics and come out of the other side with positive direction and solutions. She uses this gift to lead workshops, design education programs, and coach senior leaders. She equips leaders to build and retain future-ready teams that thrive in dynamic environments. Denise's goal is to empower individuals and teams to mine and close the gender gap, understand differences, resolve conflict, and become better allies. Her clients include household names, like Meta, ExxonMobil, Hines, Amazon, Shell, the United Nations, and the WNBA. Denise was featured by the New York Times as a nationally recognized expert in social audio and has been featured on the Apple Store, Harvard Business Review, MSNBC's Morning Joe, MIT Sloan Management Review, FOX, CBS, NBC, Newsweek and on many other outlets. Denise's book, Indivisible: How to Forge Our Differences Into a Stronger Future, is available now. Follow @officialdham

Joelle Pineau's curiosity led her to pursue a doctorate in engineering with a focus on robotics, which she describes as her “gateway into AI.” As vice president of AI research at Meta, Joelle leads a team committed to openness in the service of high-quality research, responsible AI development, and community contribution. In this episode, Joelle, who is also a professor at McGill University, weighs the advantages industry and academia each have for conducting artificial intelligence research. She also describes specific AI research projects Meta is working on, including scientific discovery initiatives focused on addressing societal problems like carbon capture. Read the episode transcript here. Guest bio: Joelle Pineau is vice president of AI research at Meta and a professor at McGill University. Her research focuses primarily on developing new models and algorithms for planning and learning in complex, partially observable domains. She also applies these algorithms to robotics, health care, games, and conversational agents. Pineau serves on the board of the Journal of Artificial Intelligence Research and the Journal of Machine Learning Research. She has a bachelor's degree in engineering from the University of Waterloo and master's degree and doctorate in robotics from Carnegie Mellon University.  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 Andy Goffin. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

If you've played with Photoshop's Generative Fill feature or worked in Nvidia's Omniverse platform, you've touched tools that Patrick Hebron's work has made possible. A dual major in philosophy and film production, Patrick approaches creative pursuits with a deep curiosity and the belief that if a “tool gets used in exactly the way that we anticipated, then we have really failed catastrophically.” He believes that emerging digital design tools will elevate human creativity, and he aims to develop technology solutions that will empower creative end users to continue to push boundaries. On this episode, Patrick describes some of the technical challenges in building generative AI solutions for creative pursuits, as well as their vast potential. Read the episode transcript here. Guest bio: Patrick Hebron is a designer, software developer, teacher, and author. His work explores the intersection of machine learning, design tools, programming languages, and operating systems. In particular, he has focused on the development of AI-driven digital design tools. He founded the Machine Intelligence Design groups at Nvidia and Adobe and was vice president of R&D at Stability AI. He is the author of Machine Learning for Designers, published by O'Reilly Media, as well as numerous articles, including Rethinking Design Tools in the Age of Machine Learning and A Unified Tool for the Education of Humans and Machines. He has also worked as an adjunct graduate professor and scientist in residence at New York University. 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 Andy Goffin. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

On yesterday's show, Keith Teare mourned the scarcity of utopian thinking in Silicon Valley. But maybe Keith was looking on the wrong coast. Robert Wolcott, who teaches at the University of Chicago and is the chair of the World Innovation Network, recognizes the value of utopian idealism in his co-authored new book, Proximity: How Coming Breakthroughs in Just-in-Time Transform Business, Society and Life. As he told me, the just-in-time tech revolution of generative AI, 3D printing, lab-grown meats, renewable energy, and virtual reality is going to change everything. But what Wolcott can't predict, he confesses, is whether all this radically disruptive new tech will lead us to utopia or to dystopia. Robert C. Wolcott is Adjunct Professor of Innovation at the Booth School of Business, University of Chicago, and Adjunct Professor of Executive Education at the Kellogg School of Management, Northwestern University. From 2010 – 2019, he served as Clinical Professor of Innovation and Entrepreneurship at Kellogg. Wolcott won Teacher of the Year from Kellogg's EMBA program in 2013, 2014, 2015 and 2017. He's co-founder and chair of The World Innovation Network (TWIN), a global community of nearly 4,000 innovation and growth leaders from over 30 countries and across sectors (business, government, the arts, academia, defense). TWIN gathers 400 delegates for TWIN Global each year in Chicago to explore the future, in addition to smaller gatherings and online sessions. The objective is to build trusted relationships across sectors. Wolcott is an angel investor in over 20 companies including crowd funding leader Indiegogo, tech-enabled coaching and culture development platform Abroad.io, student loan innovator Lumni, digital education leader Kiddom, transaction security technology firm Magic Cube, digital mental health platform Silver Cloud Health and ClearCare Online (acquired by Battery Ventures), international art show, EXPO Chicago and MommyDaddyMe.com, a Hong Kong-based online capability development platform for children and their families across Asia. Wolcott holds a BA, European and Chinese History; and an MS and Ph.D., Industrial Engineering & Management Science, Northwestern University. Wolcott is a board member of Clareo, a foresight and growth strategy consultancy serving global corporations, and Abroad.io, a tech-enabled human transformation platform. Wolcott serves on advisory boards for H-Farm, the leading technology ecosystem in Italy, and the Open Innovation Lab of Norway. He serves on the board of Cure Blindness (Himalayan Cataract Project), a global non-profit that has restored sight to nearly one million people in Asia, Africa and Latin America. He is a regular contributor for Forbes on the impact of technology on business, society and humanity. His book, Grow From Within: Mastering Corporate Entrepreneurship and Innovation (McGraw-Hill, 2010) has been published in Chinese and Japanese. Wolcott's work appears in MIT Sloan Management Review, strategy+business, The Harvard Business Review (online), The Wall Street Journal, Advertising Age, Business Week, The Financial Times (European Edition), The New York Times and numerous overseas publications.Named as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting KEEN ON, he is the host of the long-running How To Fix Democracy show. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children.Keen On is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

Paul Romer once considered himself the most optimistic economist. He rightfully predicted that technology would blow up as an economic driver coming out of the inflation of the 1970s but acknowledges he did not foresee the inequality that technology advances would lead to. On this episode, Paul shares his views on AI advances and their implications for society. Rather than pave the way for full automation, he is a proponent of keeping humans in the loop and believes that, rather than slowing down technology, it can be pointed in a direction for more meaningful and beneficial use, citing education as an area ripe to benefit from AI. Listen to 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 Andy Goffin. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Actor Tye Sheridan may not consider himself a technology expert, but his knowledge of visual effects (VFX) processes led him to cofound AI-driven startup Wonder Dynamics. With the company's new product, Wonder Studio, creators can upload 2D video and transform it into 3D animations at a fraction of the cost of the motion-capture animation process typically used by Hollywood studios.  Tye joins this episode to talk about the genesis of his company, plus he shares his views on artificial intelligence's impact on creativity in the film industry and the opportunities it can offer creators. Read the episode transcript here. Guest bio: Tye Sheridan is an actor and producer who has appeared in a number of films, including Ready Player One and X-Men: Apocalypse. In 2017, with Nikola Todorovic, he cofounded Wonder Dynamics, a technology company that's creating AI-powered film production tools. Its proprietary AI software, Wonder Studio, uses artificial intelligence and machine learning to automatically animate, light, and compose computer-generated characters in live-action scenes. The company is on a mission to build AI tools that enable creators to produce studio-level visual effects and CGI-heavy content for a significantly lower cost than the traditional motion-capture process. 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 Andy Goffin. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Jeff Cooper parlayed his interest in neuroscience and human behavior into a career in data science and today works as a senior data science director for online retail subscription service Stitch Fix. Jeff joins Me, Myself, and AI to share how the company pairs human employees with intelligent technologies to keep up with customer preferences while realizing operational efficiencies. He also talks about how the company sustains extremely high feedback rates from consumers and how humans are training models, as well as vice versa, leading to interesting feedback loops. Read the episode transcript here. Guest bio: Jeff Cooper is a senior data science director at Stitch Fix, the global leader in personalized styling, where he oversees the Client Algorithms team, which develops models for product recommendations, style, and growth. He previously held data science leadership roles at Tradesy, FabFitFun, and Disney, as well as research roles in decision neuroscience at Caltech and Trinity College Dublin. Jeff has a Ph.D. in psychology from Stanford University. 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Like many product leaders in the technology space, Jackie Rocca took a somewhat circuitous path to that role. After beginning her career in management consulting with Bain, she earned her MBA at Stanford and then worked at Google, where she helped launch YouTube TV. Now, she serves as vice president of product at Slack, where she focuses on the collaboration platform's Slack AI product. As a product leader, Jackie had continually heard from users that they were experiencing a common challenge: It was a struggle to keep up with the pace of information and prioritize where to focus their attention and energy. So she looked to AI as a potential source of solutions and is now leading a team that's focused on launching AI-driven features to address user pain points. The Slack AI team's work is already helping customers take advantage of the wealth of knowledge within Slack exchanges by providing features such as channel recaps, thread summaries, and the ability to ask questions to surface information that's embedded within conversations. On this episode, Jackie describes how her team approaches new product design in the generative AI space and offers up some predictions for what lies ahead. Read the episode transcript here. Guest bio Jackie Rocca is vice president of product at Slack. In that role, she oversees the vision and execution of Slack AI, which brings generative AI natively and securely into the collaboration platform's user experience. Rocca has delivered on a number of AI initiatives in her five years with the company and is now on a mission to help customers further accelerate their productivity and get even more value out of their conversations, data, and collective knowledge. Before joining Slack, Rocca spent more than six years as a product manager at Google, where she helped launch and grow YouTube TV. 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Are you living an intentional life? On this Live Greatly podcast episode, Kristel Bauer sits down with Marc Zao-Sanders, author of, 'TIMEBOXING: The Power of Doing One Thing At a Time.' Kristel and Marc discuss how timeboxing can help you avoid regret, minimize overwhelm and fill your work and life with the things that matter most to you. Tune in now!  Key Takeaways From This Episode What timeboxing is A look into Marc's popular Harvard Business Review article on Timeboxing and how it led to a book deal How to start Timeboxing How to use Timeboxing in your life, not just work How Timeboxing can help you live an intentional life Why you should be focusing on one task at a time How Timeboxing can help you avoid living a life of regret Why you shouldn't be striving for perfection About Marc Zao-Sanders: MARC ZAO-SANDERS is the CEO and co-founder of filtered.com, a learning tech company. He regularly writes about algorithms, learning and productivity in Scientific American, Harvard Business Review and MIT Sloan Management Review. Marc is the author of 'TIMEBOXING: The Power of Doing One Thing At a Time. TIMEBOXING is a comprehensive guide to carefully and intentionally selecting what to do, specifying start and finish times, focusing solely on that single activity, and getting it done to an acceptable standard within that timeframe. Connect with Marc Website: https://marczaosanders.com/  Buy Marc's Book: https://marczaosanders.com/book/  Instagram:  https://www.instagram.com/marczaosanders/  LinkedIn: https://www.linkedin.com/in/marczs/  About the Host of the Live Greatly podcast, Kristel Bauer: Kristel Bauer is a corporate wellness expert, popular keynote and TEDx speaker, and the host of top-rated podcast, “Live Greatly,” a show frequently ranked in the top 1% for self-improvement. Kristel is an Integrative Medicine Fellow & Physician Assistant with clinical experience in Integrative Psychiatry, giving her a unique perspective into optimizing mental well-being and attaining a mindset for more happiness and success in the workplace and beyond. Kristel decided to leave clinical practice in 2019 when she founded her wellness platform “Live Greatly” to share her message around well-being and success on a larger scale.  With a mission to support companies and individuals on their journeys for more happiness, success, and well-being, Kristel taps into her unique background in healthcare, business, and media, to provide invaluable insights into high power habits, leadership development, mental well-being, peak performance, resilience, sales, success, wellness at work, and a modern approach to work/life balance. Kristel is a contributing writer for Entrepreneur and she is an influencer in the business and wellness space having been recognized as a Top 10 Social Media Influencer of 2021 in Forbes. A popular speaker on a variety of topics, Kristel has presented to groups at APMP, Bank of America, Commercial Metals Company, General Mills, Northwestern University, Mazda, Santander Bank and many more. She has been featured in Forbes, Forest & Bluff Magazine, Authority Magazine & Podcast Magazine, has contributed to CEOWORLD Magazine & Real Leaders Magazine, and has appeared on ABC 7 Chicago, WGN Daytime Chicago, Fox 4's WDAF-TV's Great Day KC and Ticker News. Kristel lives in the Chicago area with her husband and their 2 children.  She can be booked for speaking engagements worldwide. To Book Kristel as a speaker for your next event, click here. Website: www.livegreatly.co  Follow Kristel Bauer on: Instagram: @livegreatly_co  LinkedIn: Kristel Bauer Twitter: @livegreatly_co Facebook: @livegreatly.co Youtube: Live Greatly, Kristel Bauer To Watch Kristel Bauer's TEDx talk of Redefining Work/Life Balance in a COVID-19 World click here. Click HERE to check out Kristel's corporate wellness and leadership blog Click HERE to check out Kristel's Travel and Wellness Blog Disclaimer: The contents of this podcast are intended for informational and educational purposes only. Always seek the guidance of your physician for any recommendations specific to you or for any questions regarding your specific health, your sleep patterns changes to diet and exercise, or any medical conditions.  Always consult your physician before starting any supplements or new lifestyle programs. All information, views and statements shared on the Live Greatly podcast are purely the opinions of the authors, and are not medical advice or treatment recommendations.  They have not been evaluated by the food and drug administration.  Opinions of guests are their own and Kristel Bauer & this podcast does not endorse or accept responsibility for statements made by guests.  Neither Kristel Bauer nor this podcast takes responsibility for possible health consequences of a person or persons following the information in this educational content.  Always consult your physician for recommendations specific to you.  

Daniele Petecchi didn't realize how complex the process of producing tires was until he joined Pirelli, a company that's been in the business of manufacturing tires for more than 150 years. But now, as head of data management and AI, he's focused on leveraging the company's wealth of data to meet the stringent technical, quality, and performance requirements of the Formula One racers and luxury vehicle makers — like Ferrari, Lamborghini, and BMW — that rely on Pirelli's premium tires. In this episode, Daniele explains why virtualization and data are key to managing the complexity of an R&D and production cycle that includes using digital twins to predict how a tire will sound on the road and maximizing efficiency at plants that manufacture millions of tires each year. Read the episode transcript here. Guest bio Daniele Petecchi is head of AI and data managementat Pirelli, where he leads critical initiatives that harness artificial intelligence technology to drive innovation and efficiency for the premium tire manufacturer. Petecchi earned his degree in telecommunications engineering, specializing in digital signal processing, which laid the foundation for his career in technology. He subsequently earned a Master of Science degree in information management, which equipped him with a strong strategic perspective. In 2018, he further reinforced his skill set by completing the General Management Program at ESCP Business School, enabling him to navigate the intricate intersection of technology and business. 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

On this bonus episode, we head to the World Bank offices in Washington, D.C., where hosts Sam and Shervin joined organizers Jonathan Timmis and Timothy DeStefano from the World Bank and Georgetown University's McDonough School of Business for the day-long conference, “How is Artificial Intelligence Transforming Firms?” in December 2023. In our final of three bonus episodes derived from this event, we explore how AI has shifted policy discussions, and what new types of management are needed. This episode offers an abridged listen to the panel discussion; for the full session video, please visit the conference's website. Guest Bios Carol Corrado is a distinguished principal research fellow, conference board & senior policy scholar at Georgetown University. Olivia Igbokwe-Curry is head of U.S. congressional and political affairs at Amazon Web Services. Scott Wallsten is president and senior fellow at The Technology Policy Institute. Nikolas Zolas is a former senior economist at the Center for Economic Studies at the U.S. Census Bureau. Sam Ransbotham is cohost of Me, Myself, and AI and a professor of analytics at Boston College. 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn.  We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

This bonus episode is from the Radical Respect podcast with Kim Scott and Wesley Faulkner based on Kim's forthcoming book, Radical Respect: How to Work Together Better. On this episode, Kim and Wesley talk to workplace culture expert Denise Hamilton about her new book, Indivisible: How to Forge Our Differences into a Stronger Future. Denise reads passages from her book, prompting some real conversations. Are you trying to figure out how to prepare for this election year mentally? Denise's new book will help you! Plus catch Kim and Wesley Live at SXSW on March 8th!Denise Hamilton is the founder and CEO of WatchHerWork, a digital learning platform for professional women, and All Hands Group, a workplace culture consultancy. As an in-demand speaker and facilitator, she has consulted for and presented to dozens of Fortune 500 companies, including GE, Apple, IBM, Shell, BP, and Meta. Her thought leadership has been featured in Harvard Business Review, Morning Joe, FOX, Bloomberg, s+b, and Newsweek and she is a regular contributor to MIT Sloan Management Review. watchherwork.comChaptersWorkplace culture and diversity with author Denise Hamilton. (0:00)Racial disparities in maternal mortality rate in the US. (01:22)Gender disparities in medical research and treatment. (05:07)Race, power dynamics in healthcare, and personal experiences. (08:07)Race, empathy, and personal responsibility. (14:11)Racism and compassion in society. (21:44)Police brutality, language, and solidarity. (26:29)Police power and accountability. (32:29)The impact of capitalism and personal responsibility on mental health. (39:52)Political polarization and the importance of empathy. (46:36)Watch the video of this episode >>Become a supporter of this podcast: https://www.spreaker.com/podcast/radical-candor-communication-at-work--5711404/support. Learn more about your ad choices. Visit megaphone.fm/adchoices

While Me, Myself, and AI is on winter break, we hope you enjoy this episode. Jennifer Strong, longtime journalist and creator of the SHIFT podcast, joins Sam and Shervin to talk about their favorite Me, Myself, and AI episode Find the additional podcasts mentioned in the episode below: SHIFT podcast In Machines We Trust WSJ's The Future of Everything  Guest Bio: Jennifer Strong is an audio journalist covering the impact of AI on the way we live and work. She's the creator of several tech podcasts for newsrooms, including ProPublica, The Wall Street Journal, and MIT Technology Review. Her podcast SHIFT, with the Public Radio Exchange, covers "the far-reaching impact of automation on our daily lives," according to Apple Podcasts. Her reporting has been widely recognized, including six Webby and three Podcast Academy Award nominations. Her narrative podcasts were finalists at the New York Festivals for the last two years, and a finalist for Podcast of the Year by The Drum Awards in London for a taping she did inside an experimental fighter plane. Strong has also produced a business show for NPR and reported on national security for PRI. She's been a keynote stage host and moderator at the AI for Good Global Summit, The Future of Everything Festival, Web Summit, among others. 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 Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn.  We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. 

While Me, Myself, and AI is on winter break, we hope you enjoy this episode. Tom Davenport, President's Distinguished Professor of Information Technology and Management at Babson College, joins Sam and Shervin to talk about their predictions for AI trends in 2024.  Find the additional studies and resources mentioned in the episode below: Tom Davenport's articles with MIT SMR 2024 CDO Insights: Data & Generative AI(form required for download via AWS) Why Companies That Wait to Adopt AI May Never Catch Up What the data says about Americans' Use of Artificial Intelligence (Pew Research) What do AI chatbots really mean for students and cheating? (Stanford Graduate School of Education) Randy Bean's 2024 Executive Survey  Guest Bio Thomas H. Davenport is the President's Distinguished Professor of Information Technology and Management at Babson College, a visiting professor at Oxford's Saïd Business School, and a fellow of the MIT Initiative on the Digital Economy. He is coauthor of Working With AI: Real Stories of Human-Machine Collaboration (MIT Press, 2022). 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 or by following Me, Myself, and AI on LinkedIn.  We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. 

When Mark Surman produced a pro-peace public service announcement for his local TV station as a self-proclaimed “punk rock kid” in the 1980s, he wasn't thinking about a future career evangelizing fair, equitable, and trustworthy technology access for everyone. But today, as president of the Mozilla Foundation, he is focused on exactly that.  Mark went on to study filmmaking and has parlayed his communications expertise into technology leadership roles, where he has continued to work to “change hearts and minds by telling the truth.” On this episode, Mark shares his take on the roles of both big tech and startups in the responsible AI conversation and also describes a recent report on trustworthy AI from the Mozilla Foundation. Read the episode transcript here. Guest bio: Mark Surman is president of the Mozilla Foundation, a global nonprofit that does everything from developing the Firefox web browser to advocating for a more open, equitable internet. His current focus is fueling Mozilla's efforts to invest in responsible tech startups (via Mozilla Ventures) and to create foundational technology for more trustworthy AI (via Mozilla.ai). Before joining Mozilla, Surman spent 15 years leading organizations and projects that promoted the use of the internet and open-source technology for social empowerment. 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 or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

When Vandi Verma saw the Spirit and Opportunity rovers land on Mars while she was working toward a Ph.D. in robotics, it set her on a path toward working at NASA in space exploration., Perhaps unsurprisingly, today, as chief engineer for robotic operations at Nasa's Jet Propulsion Laboratory (JPL), Vandi sees the biggest opportunities for artificial intelligence in robotics and automation. She describes the ways in which the Mars rovers rely on AI, including the technology's use in digital twin simulations that enable JPL scientists at to practice their driving skills before actually controlling the rovers on Mars. She also discusses how NASA's use of AI — and its approach to risk — offer lessons for organizations that are looking to simulate real-world scenarios here on Earth. 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 or by following Me, Myself, and AI on LinkedIn. Guest bio: Vandi Verma is a principal engineer and the deputy section manager for the Mobility & Robotics section at the NASA Jet Propulsion Laboratory. She also serves as chief engineer of robotic operations for the Mars 2020 Perseverance rover. She was previously the assistant section manager of the Mobility & Robotics section, the supervisor of the section staff group, and the supervisor of the Operable Robotics Group. Verma works on new robotics capabilities, including R&D; mission design; prototyping; flight development, testing, and launch; and landing and surface operations. She has been engaged in robotic operations on Mars since 2008 with the Mars Exploration Rover mission's Spirit and Opportunity, Curiosity rover, Perseverance rover, and Ingenuity helicopter. Before joining JPL, she led the NASA Ames Research Center team that developed PLEXIL (Plan Execution Interchange Language) for operating autonomous systems, as well as the development of technology that has been deployed on rovers and human spaceflight projects. Verma earned a Ph.D. in robotics from Carnegie Mellon University in 2005. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.