Podcast appearances and mentions of michael schrage

Michael Schrage, a research fellow with the MIT Sloan School of Management's Center for Digital Business, and Stacy Hilgendorf, chief accounting officer and corporate controller at Sprouts Farmers Market, talk about their approach to artificial intelligence and generative AI, as well as the technologies' potential benefits for the future of the finance function. https://blog.workday.com/en-us/2024/workday-podcast-finance-leaders-exploring-generative-ai.html

Hello there! We're Dr. Jane Hession and Ronan Healy. We're a husband and wife team and co-founders of the service design studio How Might We - www.howmightwe.design We're passionate about Play and provide online and in-house training in the LEGO Serious Play method to: 1) Third-level Educators - https://bit.ly/LSP_Ed_Innovators 2) Organisational Innovators - https://bit.ly/LSP_Org_Innovators Episode 11 Many of us experience Tsundoku, the phenomenon of eagerly buying books but letting them pile up around our homes without reading them. But have you heard of Tsunbacku?  No? Well, that's not surprising, as we just made it up! Tsunbacku is the opposite of Tsundoku. It's the phenomenon of returning ‘back' to those pile of books that continue to inspire you.  One such book is Serious Play, so we were delighted to chat with Michael Schrage.  Michael Who? Michael Schrage is a research fellow with the MIT Sloan School of Management's Initiative on the Digital Economy. His research, writing, and advisory work focuses on the behavioural economics of models, prototypes, and metrics as strategic resources for managing innovation risk and opportunity.  Michael is the author of multiple books, including The Innovator's Hypothesis, Who Do You Want Your Customers to Become?, Serious Play, and Recommendation Engines. Michael has run design workshops and executive education programs on innovation, experimentation, and strategic measurement for organisations worldwide and is currently pioneering work in silverware technologies designed to augment productive individuals' aspects, attributes, and talents. He is particularly interested in the co-evolution of expertise, advice, and human agency as technologies become smarter than those using them. Since 2017, Michael has been a guest editor for MIT SMR's Big Ideas initiatives, including Future of Leadership, Future of the Workforce (2019-2020), Performance Management (2018-2019), and Strategic Measurement (2017-2018).  Contact Details LinkedIn https://www.linkedin.com/in/mschrage/  Email schrage@mit.edu  Research Papers  https://www.researchgate.net/profile/Michael-Schrage  Big Think https://bigthink.com/people/michaelschrage/  Michael's Books  Serious Play: How the World's Best Companies Simulate to Innovate  https://www.amazon.com/gp/product/0875848141/ref=dbs_a_def_rwt_bibl_vppi_i3  Recommendations Engines  https://www.amazon.com/Recommendation-Engines-Press-Essential-Knowledge/dp/0262539071  The Innovators Hypothesis How Cheap Experiments Are Worth More Than Good Ideas  https://www.amazon.com/gp/product/B08BSZC81Q/ref=dbs_a_def_rwt_bibl_vppi_i2  Who Do You Want Your Customers to Become?  https://www.amazon.com/gp/product/B008HRM9X4/ref=dbs_a_def_rwt_bibl_vppi_i1  No More Teams! Mastering the Dynamics of Creative Collaboration https://www.amazon.com/gp/product/0385476035/ref=dbs_a_def_rwt_bibl_vppi_i5 Shared Minds: The New Technologies of Collaboration https://www.amazon.com/gp/product/0394565878/ref=dbs_a_def_rwt_bibl_vppi_i4  Additional Topics  Robert K Greenleaf - Servant Leadership  https://www.greenleaf.org/what-is-servant-leadership/  Roger Martin  https://en.wikipedia.org/wiki/Roger_Martin_(professor)  Herbert A Simon  https://en.wikipedia.org/wiki/Herbert_A._Simon  Edward de Bono  https://en.wikipedia.org/wiki/Edward_de_Bono  Erving Goffman  https://en.wikipedia.org/wiki/Erving_Goffman  Kenneth E Boulding  https://en.wikipedia.org/wiki/Kenneth_E._Boulding  Virginia Satir  https://en.wikipedia.org/wiki/Virginia_Satir  Peoplemaking by Virginia Satir https://www.amazon.com/Peoplemaking-Condor-Books-Virginia-Satir/dp/0285648721 

Michael is a research fellow with the MIT Sloan School of Management's Initiative on the Digital Economy. His research focuses on the behavioural economics of models, prototypes, and metrics as for managing innovation risk and opportunity. He is author of the award-winning book The Innovator's Hypothesis and most recently Recommendation Engines. In this podcast we discuss the interaction of tech and capital, the architecture choice, time on board of Match.com, and much more.    Follow us here for more amazing insights: https://macrohive.com/home-prime/ https://twitter.com/Macro_Hive https://www.linkedin.com/company/macro-hive

What is the best way for a company to innovate? Advice recommending "innovation vacations" and the luxury of failure may be wonderful for organizations with time to spend and money to waste. The Innovator's Hypothesis addresses the innovation priorities of companies that live in the real world of limits. Michael Schrage advocates a cultural and strategic shift: small teams, collaboratively--and competitively--crafting business experiments that make top management sit up and take notice. He introduces the 5x5 framework: giving diverse teams of five people up to five days to come up with portfolios of five business experiments costing no more than $5,000 each and taking no longer than five weeks to run. Successful 5x5s, Schrage shows, make people more effective innovators, and more effective innovators mean more effective innovations. Michael Schrage is a Research Fellow at the Center for Digital Business at MIT Sloan School of Management. A sought-after consultant on business innovation, he is the author of Serious Play: How the World's Best Companies Simulate to Innovate and What Do You Want Your Customers to Become? Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/economics

What is the best way for a company to innovate? Advice recommending "innovation vacations" and the luxury of failure may be wonderful for organizations with time to spend and money to waste. The Innovator's Hypothesis addresses the innovation priorities of companies that live in the real world of limits. Michael Schrage advocates a cultural and strategic shift: small teams, collaboratively--and competitively--crafting business experiments that make top management sit up and take notice. He introduces the 5x5 framework: giving diverse teams of five people up to five days to come up with portfolios of five business experiments costing no more than $5,000 each and taking no longer than five weeks to run. Successful 5x5s, Schrage shows, make people more effective innovators, and more effective innovators mean more effective innovations. Michael Schrage is a Research Fellow at the Center for Digital Business at MIT Sloan School of Management. A sought-after consultant on business innovation, he is the author of Serious Play: How the World's Best Companies Simulate to Innovate and What Do You Want Your Customers to Become? Learn more about your ad choices. Visit megaphone.fm/adchoices

A research fellow with MIT Sloan School's Initiative on the Digital Economy, Michael Schrage's research, writing and advisory work focuses on the ‘behavioral economics' of models, prototypes and metrics as strategic resources for managing ‘innovation risk' and opportunity. He is author of award-winning The Innovator's Hypothesis [MIT Press 2014], Who Do You Want Your Customers To Become? [Harvard Business Review Press 2012] and Serious Play [Harvard Business Review Press 2000]. His most recent MIT Press book, Recommendation Engines, was published Fall 2020 as part of its "Essential Knowledge" series. He runs design workshops and executive education programs on innovation, experimentation and 'strategic measurement' for global organizations. Currently pioneering work in ‘selvesware' technologies—he coined the word—Schrage's design research looks to augment aspects, attributes and talents of productive individuals. Ongoing research efforts also examine the interplay of 'network effects'-driven innovation, such as recommender systems, and human capital creation for the enterprise. His work exploring the future of KPIs, digital ‘performance management' dashboards and machine learning - in collaboration with Google, McKinsey, Deloitte and the Sloan Management Review – builds on that theme, i.e. what happens when 'essential metrics' become 'software agents.' He is particularly interested in the future co-evolution of ‘expertise,' ‘advice' and human ‘agency' as technologies become ‘smarter' than the people using them. In this podcast, he shares: How human-machine collaboration may evolve Why we should be asking, “What customer do we serve?” or even, “What problem do we want to solve?” but more importantly, “Who do we want our customer to become?” A powerful, simple, approach to activating greater innovation and experimentation throughout your organization __________________________________________________________________________________________"What kind of selves do our innovations, our products, our services, our user experiences, our customer experiences, our client experiences, facilitate, enable and empower?-Michael Schrage__________________________________________________________________________________________Episode Timeline:00:00—Introducing Mark+ The topic of today's episode1:59—If you really know me, you know that...3:09—What is your definition of strategy?3:45—What is a 5x5 experiment?6:48—You look at AI and predictability, how does it change the 80/20 strategy that so many strategists abide by?10:00—You wrote a book on the concept of what a customer becomes. Could you explain what you mean by this?12:23—Could you talk to us about the idea of how we all have multiple selves, and how as a strategist that plays a part?15:47—Do people follow algorithmic recommendations, and what happens with algorithms becomes smarter than us?18:16—Do you think these machines we've been talking about help us become better selves?20:12—How can people connect and follow you to keep learning from you?__________________________________________________________________________________________Additional Resources: Twitter: https://twitter.com/Exp_Mark?s=20&t=DuBbgLTaYk4K7Pw21BJiYQLinkedin: https://www.linkedin.com/in/markespositoUpcoming Book: https://mitpress.mit.edu/9780262047937/

A research fellow with MIT Sloan School's Initiative on the Digital Economy, Michael Schrage's research, writing and advisory work focuses on the ‘behavioral economics' of models, prototypes and metrics as strategic resources for managing ‘innovation risk' and opportunity. He is author of award-winning The Innovator's Hypothesis [MIT Press 2014], Who Do You Want Your Customers To Become? [Harvard Business Review Press 2012] and Serious Play [Harvard Business Review Press 2000]. His most recent MIT Press book, Recommendation Engines, was published Fall 2020 as part of its "Essential Knowledge" series. He runs design workshops and executive education programs on innovation, experimentation and 'strategic measurement' for global organizations. Currently pioneering work in ‘selvesware' technologies—he coined the word—Schrage's design research looks to augment aspects, attributes and talents of productive individuals. Ongoing research efforts also examine the interplay of 'network effects'-driven innovation, such as recommender systems, and human capital creation for the enterprise. His work exploring the future of KPIs, digital ‘performance management' dashboards and machine learning - in collaboration with Google, McKinsey, Deloitte and the Sloan Management Review – builds on that theme, i.e. what happens when 'essential metrics' become 'software agents.' He is particularly interested in the future co-evolution of ‘expertise,' ‘advice' and human ‘agency' as technologies become ‘smarter' than the people using them. In this podcast, he shares: How human-machine collaboration may evolve Why we should be asking, “What customer do we serve?” or even, “What problem do we want to solve?” but more importantly, “Who do we want our customer to become?” A powerful, simple, approach to activating greater innovation and experimentation throughout your organization __________________________________________________________________________________________"What kind of selves do our innovations, our products, our services, our user experiences, our customer experiences, our client experiences, facilitate, enable and empower?-Michael Schrage__________________________________________________________________________________________Episode Timeline:00:00—Introducing Mark+ The topic of today's episode1:59—If you really know me, you know that...3:09—What is your definition of strategy?3:45—What is a 5x5 experiment?6:48—You look at AI and predictability, how does it change the 80/20 strategy that so many strategists abide by?10:00—You wrote a book on the concept of what a customer becomes. Could you explain what you mean by this?12:23—Could you talk to us about the idea of how we all have multiple selves, and how as a strategist that plays a part?15:47—Do people follow algorithmic recommendations, and what happens with algorithms becomes smarter than us?18:16—Do you think these machines we've been talking about help us become better selves?20:12—How can people connect and follow you to keep learning from you?__________________________________________________________________________________________Additional Resources: Twitter: https://twitter.com/Exp_Mark?s=20&t=DuBbgLTaYk4K7Pw21BJiYQLinkedin: https://www.linkedin.com/in/markespositoUpcoming Book: https://mitpress.mit.edu/9780262047937/

Michael Schrage, Author of "The Innovator's Hypothesis" and MIT Sloan School Initiative on the Digital Economy, is joined by FreightWaves Executive Publisher, Kevin Hill, on day 2 of the Future of Supply Chain Conference in Northwest Arkansas.With more than 60 years of experience in logistics innovation, Dunavant is a family-owned business that has the knowledge to ensure global and domestic shipping practices are efficient and effective. Dunavant generates supply chain proficiency with outstanding, attentive, and expedient customer service. For more information, visit Dunavant.com.Follow FreightWaves on Apple PodcastsFollow FreightWaves on SpotifyMore FreightWaves Podcasts

Michael Schrage, Author of "The Innovator's Hypothesis" and MIT Sloan School Initiative on the Digital Economy, is joined by FreightWaves Executive Publisher, Kevin Hill, on day 2 of the Future of Supply Chain Conference in Northwest Arkansas.Follow FreightWaves on Apple PodcastsFollow FreightWaves on SpotifyMore FreightWaves Podcasts

It was not too long ago when the first recommendation engines were created, originally to help researchers keep track of articles and information. Now, you probably consult one every single day.Michael Schrage is a Visiting Fellow in the Imperial College Department of Innovation and Entrepreneurship at MIT, where he examines the various roles of models, prototypes, and simulations as collaborative media for innovation risk management.He has served as an advisor on innovation issues and investments to major firms, including Mars, Procter & Gamble, Google, Intel, BT, Siemens, NASDAQ, IBM, and Alcoa. In addition, Michael has advised segments of the national security community on cyberconflict and cybersecurity issues, and has written a number of books, the most recent being “Recommendation Engines.”Michael joins Greg to talk about continuity and patterns, the “search” for advice, trust & exploitation and cat videos.Episode Quotes:Where are you getting your best advice from these days?Who should I trust giving me advice, my best friend, my wife, or these algorithms? That used to be a joke question. Who would you trust advice for a movie or a Netflix series from, your friends or the algorithm? I've literally been at dinners where people say you really got to see so-and-so and said, yeah, Netflix just recommended that two days ago. So you're getting your best advice on restaurants, on travel, on books, on videos from an algorithm, not your friends. What happens to human relationships when your best advice comes from your devices? Not your people.How did Michael get into this workWhat sucked me in to recommender systems, to recommendation engines and the way that they were designed, the way they were architected, the way they were experienced was instead of getting the best answer, I'm getting the best choices. And to me, the real shock is if you're just getting the best answer, then the issue is you need to comply with the best answer. What are recommendation engines? Recommendation engines are just, they're about the past, present and future of advice. They're the past, present and future of self discovery. I find that fascinating. Show Links:Guest Profile:Faculty Profile at Imperial College Department of Innovation and Entrepreneurship at MITMichael Schrage on Big ThinkMichael Schrage on LinkedInHis Work:Articles on Harvard Business ReviewRecommendation EnginesThe Innovator's Hypothesis: How Cheap Experiments Are Worth More than Good IdeasWho Do You Want Your Customers to Become?Serious Play: How the World's Best Companies Simulate to InnovateNo More Teams!: Mastering the Dynamics of Creative CollaborationShared Minds: The New Technologies of Collaboration

In this episode, Seth and Chris talk with Michael Schrage, Fellow at MIT Sloan School's Center for Digital Business and author of the book, "Recommendation Engines."Highlights:3:44: checkered past12:50: covering the overwhelming nature of technology 15:50: why do people make decisions 18:21: Perfect choice-what are the right choice architectures? 24:25 Recommendation engines: The hand you're delt - how the bluff matters26:15: How do we use tools and technologies to come up with better and more reliable advice?32:50: Ethical topics 49:06: What impact does good advice have on agency and autonomy 52:30: What Michael is working on next Links:Book: Recommendation EnginesThanks to our sponsors:Marketing AI InstituteCMSWireEarley Information ScienceAI Powered Enterprise Book

My guest today is Tom Hoy. Tom is one of the founding Partners at Stripe Partners, the London-based innovation consultancy. Alongside co-founders Tom Rowley and Simon Roberts, Tom has built Stripe Partners from a kitchen table to a thriving business, advising clients including Spotify, Facebook, Google, and Intel. Tom's particular interests lie in designing new ways to work collaboratively with clients to maximise the impact of Stripe Partners's work, and helping them to see the value of social science has in unlocking their most complex business challenges. His work has been featured in publications including the Financial Times and the Guardian.Stripe Partners are our 2021 Silver Partner, and Senior Research Consultant Anna Leggett will be sharing a research project at this year's Summit that explored opportunities to connect with marginalised communities during the pandemic. During our conversation Tom shares how Stripe Partners began and some of the reasons for their success as an innovation consultancy. He explains their main areas of practice and tells us about two of their projects, working with Spotify and Google.We also explore how Stripe Partners has adapted its methodologies during the pandemic, changing the way it does ethnographic research, and what has been gained and lost by doing research solely online.Lastly Tom recommends three worthwhile reads: Recommendation Engines by Michael Schrage, Valuing the Unique: The Economics of Singularities by Lucien Karpik, and Leave the World Behind by Rumaan Alam.You can find Tom on Twitter at @thoy and Stripe Partners at @stripepartners.

Michael Schrage from MIT discusses his book Recommendation Engines and how companies like Amazon and Netflix recommend content based on our past viewing. Michael is with the MIT Sloan School of Management's Initiative on the Digital Economy. His book is part of the MIT Press Essential Knowledge series. Listen as we explore both the benefits and the dangers of these AI-fueled systems and their influence on consumers and companies. Host, Kevin Craine Do you want to be a guest? Do you want to be a sponsor?

Michael Schrage from the MIT Sloan School of Management's Initiative on the Digital Economy discusses his book "Recommendation Engines" and their effect on consumers and the digital economy. Michael is with the and the author of several important books including "The Innovator's Hypothesis." Have you ever wondered how companies like Amazon and Netflix recommend content based on our past viewing or purchasing? Recommendation engines are increasingly fueled and improved by techniques in Machine Learning and AI. There are many benefits to consumers and companies with recommendation engines, but what are the dangers and downsides?  Host, Kevin Craine

Michael Schrage discusses his book Recommendation Engines and how companies like Amazon and Netflix recommend content based on our past viewing. Michael is with the MIT Sloan School of Management's Initiative on the Digital Economy. His book is part of the MIT Press Essential Knowledge series. Listen as we explore both the benefits and the dangers of these AI-fueled systems and their influence on consumers and companies. Host, Kevin Craine Do you want to be a guest? Do you want to be a sponsor?

As AI & machine learning software continues to get smarter, the field of personalized recommendations is only going to continue to grow. But just how far will it go? If you think of a nine-inning baseball game, we’re likely somewhere in the third inning, meaning there is still a lot of game left to play. So what advancements are coming, and how do we navigate the world of data? In this episode of Leading With Data, Michael Schrage, Research Fellow at the MIT Sloan School of Management, talks all about the future of recommendation, as well as his new book, Recommendation Engines. In addition to his role at MIT, Michael is also a visiting fellow at the Imperial College Business School of Innovation & Leadership, as well as an author of multiple books, including his most recent publication, Recommendation Engines. In this episode, we discuss: -The motivation behind Michael’s latest book, Recommendation Engines -The future of data aggregation and why we’re just getting started with advanced recommendation analytics -The Customer Lifetime Value (CLV), and why that is more important than any sale you can make in the short term -What causes most businesses to fail when it comes to digital transformation If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.

As AI & machine learning software continues to get smarter, the field of personalized recommendations is only going to continue to grow. But just how far will it go? If you think of a nine-inning baseball game, we’re likely somewhere in the third inning, meaning there is still a lot of game left to play. So what advancements are coming, and how do we navigate the world of data? In this episode of Leading With Data, Michael Schrage, Research Fellow at the MIT Sloan School of Management, talks all about the future of recommendation, as well as his new book, Recommendation Engines. In addition to his role at MIT, Michael is also a visiting fellow at the Imperial College Business School of Innovation & Leadership, as well as an author of multiple books, including his most recent publication, Recommendation Engines. In this episode, we discuss: -The motivation behind Michael’s latest book, Recommendation Engines -The future of data aggregation and why we’re just getting started with advanced recommendation analytics -The Customer Lifetime Value (CLV), and why that is more important than any sale you can make in the short term -What causes most businesses to fail when it comes to digital transformation If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.

This episode replays some of a round table we held at JP Morgan, back when people used to travel... It features the voices of Mike Rea, in conversation with Linda Avey, Co-founder of 23andMe, and Curious, Inc, Amrit Chaudhuri, CEO, Mass Innovation Labs (now SmartLabs), Steve Holtzman, then CEO, Decibel Therapeutics, Raj Kannan then SVP, Global Franchise Head, Neurology & Immunology, EMD Serono, Michael Schrage, Research Fellow, MIT Center for Digital Business; Visiting Fellow, Imperial College Department of Innovation and Entrepreneurship, and Robert Urban, then Global Head, Johnson & Johnson Innovation Do head to our YouTube channel for more from this round table, and to see which voice belongs to which speaker...

Recommendation engines have become hugely important and powerful tools for companies today. The way Netflix, Amazon, or Facebook use them influence us daily. In this session, we will explore how companies can best use that technology but also how recommendation engines have transformed developments in consumer culture and have changed our relationship with choice. To discuss this topic I am joined today by Michael Schrage, author, innovation expert and research fellow at the MIT Sloan School of Management.

No episódio 04 do NexoCast, os diretores Cristina Pacheco, Igor Drews e Rodrigo Castro recebem o consultor em estratégia, inovação e crescimento Maximiliano Carlomagno, sócio e fundador da Innoscience. A pauta é a jornada de inovação e as boas práticas de governança, e como essa combinação pode trazer resultados positivos para as empresas familiares. Durante a conversa, Max dá muitos insights e dicas de conteúdos, como os livros “DNA do Inovador”, de Jeff Dyer, Clayton Christensen e Hal Gregersen; “Sapiens”, Yuval Harari; “The Innovator's Hypothesis”, de Michael Schrage. E no quadro da dica imperdível, Maximiliano trouxe outra sugestão: o livro “Innovation Governance”, de Jean-Philippe DesChamps e Beebe Nelson, leitura fundamental para quem deseja se aprofundar na temática. O episódio foi gravado remotamente através da ferramenta Zoom Meetings e editado pela equipe técnica da Rádio União FM.

Today, I want to consider the article Strategy For and With AI by David Kiron and Michael Schrage. The authors premise is, “A company’s strategy is defined by its key performance indicators. Artificial intelligence can help determine which outcomes to measure, how to measure them, and how to prioritize them.”  Their article had several insights for the Chief Compliance Officer (CCO) or compliance practitioner who is looking to employ Artificial intelligence (AI) to help move their compliance program up a level. One of the first key insights is that it is not enough to simply have a strategy for AI. The authors stated, “Creating strategy with AI matters as much — or even more — in terms of exploring and exploiting strategic opportunity. This distinction is not semantic gamesmanship; it’s at the core of how algorithmic innovation truly works in organizations. Real-world success requires making these strategies both complementary and interdependent. Strategies for novel capabilities demand different managerial skills and emphases than strategies with them.” This makes clear that AI does not supplant the compliance function or the compliance professional, AI complements what the compliance professional can do with the information available to them. Yet the authors believe that when it comes to machine learning, an appropriate compliance strategy is defined by the key performance indicators (KPIs) leaders choose to optimize. This means that a CCO who cannot clearly identify and justify their strategic KPI portfolios has no strategy. The bottom line? AI plays a critical role in determining what and how compliance KPIs are measured and how best to optimize them. Optimizing carefully selected compliance KPIs becomes AI’s strategic purpose in the compliance function. Understanding the value of optimization is key to aligning and integrating strategies forand with AI and machine learning. KPIs create accountability for optimizing strategic aspirations, including compliance. Three key takeaways: Use KPIs to define and measure your innovation strategy. AI should only supplement, not supplant a compliance professional. What are your compliance KPIs? For more information on how an independent monitor can help improve your company’s ethics and compliance program, visit this month’s sponsor Affiliated Monitors at www.affiliatedmonitors.com.

Künstliche Intelligenz ermöglicht schnelle und kostengünstige Experimente, um Erkenntnisse zu gewinnen. Amazon, Facebook, Google und Netflix wissen das seit Jahren und nutzen uns als Versuchskaninchen. Ein Podcast mit: Christina Gravert, Jeff Bezos, Dan Goldstein, Daniel Schunk, Michael Schrage, David Bosshart Sprecherin: Jasmin Kienast 13.06.2019

Michael Schrage (MIT Management Executive Education) to guru wszystkich, którzy chcą poszerzać swoją wiedzę z zakresu cyberbezpieczeństwa i wykorzystania technologii w zarządzaniu. Jego doświadczenia - zdobywane m.in. w trakcie pracy dla rządu Stanów Zjednoczonych - są bezcennym źródłem informacji dla liderów chcących poszerzać swoje horyzonty. Jak odnaleźć się w rzeczywistości oczekującej od nas ciągłego zaangażowania? Dlaczego w dobie mediów cyfrowych istnieje potrzeba weryfikacji zarządzania wydajnością? Czy intuicja menedżerska nadal odgrywa jedną z kluczowych ról w zarządzaniu zespołami? Posłuchaj podcastu i dowiedz się, jak w konkurencyjnym świecie najnowsze technologie mogą pracować na twój sukces. Special Guest: Michael Schrage.

Hören Sie hier Michael Schrage, Research Fellow am MIT Center for Digital Business, über Experimente und deren Mehrwert sprechen: „Experimentieren ist keine Frage des Geldes“. Der Wert der Erkenntnisse, die das Management aus Experimenten ziehen kann, übersteigt immer die Kosten des Experiments.

Michael Schrage - MIT Media Labs and Imperial College visiting professor who sees the future of work and self in a very unique way.

In this episode, I talk with Michael Schrage about designing customers and running experiments in the world of book publishing.

There are many ways to see bits and pieces of customer data across the enterprise but what holistic strategies can you use to tap into the right data? What questions and data could actually create an unfair competitive advantage for your business? In this episode I summarize a month of customer strategy interviews and best practices. I include clips from previous guests, Custora’s Jordan Elkind, MIT’s Michael Schrage and Electronic Art’s Jodie Antypas. Finally, I wrap up with three insightful nuggets.      Please help me spread the word about building your business equity through effective customer analytics. Rate and review my podcast on Apple Podcast, Stitcher, Google Play, Alexa’s TuneIn, iHeartRadio or Spotify. And do tell me what you think by writing Allison at info@ambitiondata.com or visit ambitiondata.com. Thanks for listening!  Learn more about your ad choices. Visit megaphone.fm/adchoices

This week in the Accelerator: What is the one question you should be asking your customers that will completely change the way you think about your business? Similar in power to Levitt’s famous “What business are you in?” question, this new question, “The Ask” will revolutionize the way you think about customers and their value. This week I interview author Michael Schrage, a Research Fellow at the MIT Center for Digital Business. He explains what “The Ask” is and, why is it so powerful? Along the way he shares examples from Apple, Dyson, McDonalds, the pharmaceutical industry and more who have reaped the benefits of how organizations can and should create value.  Please help me spread the word about building your business’ customer equity through effective customer analytics. Rate and review my podcast on Apple Podcast, Stitcher, Google Play, Alexa’s TuneIn, iHeartRadio or Spotify. And do tell me what you think by writing Allison at info@ambitiondata.com or ambitiondata.com. Thanks for listening! Tell a friend! Learn more about your ad choices. Visit megaphone.fm/adchoices

Too few managers believe key performance indicators align with organization’s strategic objectives — MIT SLOAN A new global study on the state of key performance indicators, released by MIT Sloan Management Review(SMR), suggests that a high number of executives underutilize KPIs as a leadership tool. Despite having access to magnitudes more information, nearly 30 percent of surveyed leaders don’t use KPIs to drive change in their organizations. The study,  “Leading with Next-Generation Key Performance Indicators,” (https://mitsmr.com/2syjWyu)  delves into why some business leaders are rethinking how they use KPIs to lead and manage the enterprise. “KPIs should be the most important data and analytics that an organization has,” said Michael Schrage, a research fellow at the MIT Sloan School’s Center for Digital Business and a coauthor of the report. “But our research indicates that KPIs are mismanaged and undervalued.” There is one notable exception to the reported misuse of KPIs: The study finds that many companies are using KPIs to understand customers in a more holistic way. Over 70 percent of respondents report that their organizations currently have functional KPIs for customer segmentation, and 63 percent of respondents agree that they are using KPIs to develop a single, integrated view of the customer. Several of those business leaders interviewed for the report discussed their efforts to use KPIs to understand “the customer journey,” encompassing the many touchpoints through which customers interact with brands today. “Using KPIs to create an integrated view of the customer requires a huge adjustment in how organizations collaborate, and the kinds of data they collect and use,” said David Kiron, executive editor at MIT SMR and a coauthor of the report. The study also identified several pivotal principles used by those companies that have been successful at creating alignment around a shared set of KPIs. The researchers created an index built on the idea of KPI alignment, and found that the best aligned — Measurement Leaders — shared several key characteristics. They: Use KPIs to lead, as well as manage, the enterprise. Pursue a holistic, integrated view of the customer. More than 80 percent of Measurement Leaders affirm that their functional KPIs help their function develop a single, integrated view of their target customer. That figure drops to slightly below 25 percent for Measurement Challenged organizations. See KPIs as data sets for machine learning. Both survey results and interviews suggest that KPIs are now being thought of as data inputs for machine learning, not just as analytic outputs for performance review and planning. Insist on the ability to digitally drill down to KPI components. Rating their agreement with the statement, “I can easily drill down to see the underlying data or analytic components that are aggregated into my KPIs,” more than 80% of Measurement Leaders strongly agreed or agreed with that statement; the percentage was close to 45 percent for the Measurement Capable organization, and dropped to below 10 percent for the Measurement Challenged group. Share trusted KPI data. Measurement Leaders are twice as likely as the Measurement Challenged to monitor or have access to other C-suite or functional leadership KPIs. Aim for “KPI parsimony.” When asked how many of the KPIs they oversee demand most of their attention, a majority of survey respondents chose either the top two or three, or the top 20 percent. The research indicates that KPIs are strategically, culturally, and operationally entwined with how leaders of data-driven organizations define success. This is especially true for organizations intent on being measurably customer focused and/or customer-centric. As companies hone their data and analytics capabilities, KPIs will become even more...

How do you know that you’re really where you are right now? I mean, where are you getting this sense of place from? A bunch of data from at least some of your five senses enters your brain where it’s cross-referenced with categories from memory. You’re making a probabilistic calculation: This sure looks, feels, and smells like my office. Jeremy Bailenson, my guest today, has been experimenting with cutting edge virtual reality for over a decade now. His Virtual Human Interaction Lab studies the ways VR’s unique sense of presence—of putting you into a different place (and maybe time) from the one you’re in can be used for education, healing, and—yes—generally making the world a better place. His new book is called: EXPERIENCE ON DEMAND: What Virtual Reality Is, How It Works, and What It Can Do. Surprise conversation-starter clips in this episode: Michael Schrage on Apple, the FBI, and data privacy, Beau Lotto on technology and empathy Learn more about your ad choices. Visit megaphone.fm/adchoices

Michael Schrage is a Research Fellow at the Center for Digital Business at MIT Sloan School of Management. A sought-after consultant on business innovation, he is the author of Serious Play: How the World’s Best Companies Simulate to Innovate and What Do You Want Your Customers to Become?

A part of the Region's strength comes from its local and small businesses. They provide jobs and help keep capital flowing back to the community, such as through sponsorships or philanthropic gifts. Local community banks are a shining example. Recently, Centier Bank earned the No. 1 spot in Northwest Indiana with $2.5 billion in local deposits and around 19 percent of the local market share, just edging out Chase Bank, according to the FDIC's summary of deposits. In what Centier's President and CEO Michael Schrage would call a "David and Goliath" type of scenario, a local entity, with a history dating back to 1895, triumphed over a national financial behemoth. However, any business has a natural need to grow. Centier has spread branches as far east as Fort Wayne and is also eyeing Indianapolis. Horizon Bank, the third largest in Northwest Indiana, recently announced its expansions into Michigan and Ohio. How does a local entity maintain its flavor and balance expansion goals? See omnystudio.com/listener for privacy information.

Click Here to Get Access to Steve Sanduski's "52 Tips to Grow Your Business NOW" This week on Elite Advisor Blueprint, Steve Sanduski shares his journey as an elite financial advising coach and provides deep insight into where the industry is headed! Steve Sanduski has had over 20 years of experience growing companies by multiples, including one whose revenue grew 17-fold during his leadership. Steve helped launch and build a $1.8 billion RIA and was the Managing Partner of Peak Advisor Alliance as it grew from 0 to 1,000 coaching clients. Steve has led countless speaking engagements with top advisors and has spoken to audiences all over the country through keynotes, breakout sessions, and day-long training programs. He’s a New York Times Bestselling author and the co-author of Tested in the Trenches: A 9-Step Plan for Success as a New-Era Advisor and Avalanche: The 9 Principles for uncovering True Wealth. Steve also interview’s top leaders at the intersection of business, investing, and life on his podcast Between Now and Success. His guests include visionary leaders such as Tony Robbins, Ric Edelman, Marty Bicknell, Peter Mallouk, Elliot Weissbluth, Jud Bergman, David Bach, Jon Stein, Steve Lockshin, Carl Richards, Michael Port, Michael Schrage, Aaron Klein, Chip Roame, and Scott Hanson and many more! Here’s a quick overview of what we cover in this conversation: We begin with the story of how Steve and Ron Carson originally connected and then later launched PEAK Advisor Alliance from a conversation that began in Ron’s basement From there, we get into what creates an imaginary “glass ceiling” for financial advisors that holds them back from the growth they want to achieve and the secret to building a high performing team Later on, we dig deep on the massive changes in fintech and how Steve sees our industry evolving away from “return of investment” and more to “return on” an idea that is much more impactful to your clients Then we get into the most powerful lessons and takeaways from some of Steve’s former podcast guests like Tony Robbins and Hightower Investment’s Elliot Weissbluth, you won’t want to miss these! We wrap with one of my favorite parts of the conversation... Steve and I discussing the power of “random acts of kindness” and the power they have to change not only your own perspective, but those around you as well SHOW NOTES: [03:50] Steve shares his early days in the financial advising game and how a partnership with Ron Carson led to the launch of Peak Advisor Alliance - An Elite Financial Advisor Coaching business that’s been around since the 90’s. [12:05] Find out how Ron Carson discovered the habits of top achievers, connected with the most successful people in the world, and landed his first billionaire client. [15:15] Why differentiating yourself and clearly defining your target audience is critical if you want to succeed as a financial advisor. [22:40] How to avoid losing business to robo advisors while creating the best possible life for your clients. [00:27:35] Why using technology to increase efficiency should never come at the expense of your clients experience.   [30:34] The unique human attributes that technology can’t compete with and how you can use these to create a sustainable advantage. [34:42] The pros and cons to working with clients remotely. [39:12] Find out why Steve started his podcast Between Now and Success. [44:04] The most memorable moments from Steve’s podcast guests, such as Tony Robbins and Elliot Weissbluth. [53:50] Why the more valuable you are to the business, the less valuable the business is. [54:16] Why the growth of your business relies on your ability to surround yourself with incredible people. [56:02 Steve’s advice on hiring new talent and knowing when to let people go. [01:02:12] Why Steve’s Dad is the first person he thinks of when he hears the word “successful”. [01:05:05] The book that Steve believes all financial advisors should read. [1:06:41] How small acts of kindness can make a big difference in the world. [01:11:28] The one piece of advice Steve would give to any financial advisor that wants to succeed. SELECTED LINKS FROM THE EPISODE Connect with Steve Sanduski Website | Twitter | LinkedIn BelayAdvisor.com Peak Advisor Alliance Coaching Program Securities America Hewlett-Packard Tested in the Trenches by Ron Carson and Steve Sanduski Avalanche by Ron Carson and Steve Sanduski LPL Financial Peak Advisor Alliance Why Should I Choose You?  by Ian Chamandy and Ken Aber The 100-Year Life Union Pacific Western Electric The Quiet Company The Behavior Gap by Carl Richards Orion Advisor Services Mariner Wealth Advisors FiComm Partners High Tower Advisors Only The Paranoid Survive by Andy Grove Amazon Kodak Netflix CNBC The Soul of Money by Lynne Twist The Madonna School PEOPLE MENTIONED IN THE EPISODE Ron Carson - Founder and CEO of Carson Group Holdings Dan Sullivan - Founder and President of The Strategic Coach Inc. Warren Buffett - Chairman and CEO of Berkshire Hathaway Wayne Gretzky - Legendary Hockey Player Tony Robbins - Author of Unshakeable Cole Richards - Author of The Behavior Gap Eric Clark - CEO at Orion Advisor Services Marty Bicknell - CEO at Mariner Holdings Joe Duran - CEO at United Capital Jason Lahita - President and Co-founder of FiComm Partners Elliot Weissbluth - CEO and Founder at High Tower Advisors Gordon Moore - Co-founder of Intel Mark Moses - co-founder at CEO Coaching International Darren Hardy - Success Coach Stu McLaren - Co-founder of Wishlist Member Michael Hyatt -  Author of Platform: Get Noticed in a Noisy World     The information and opinions contained herein are provided by third parties and have been obtained from sources believed to be reliable, but accuracy and completeness cannot be guaranteed by Advisors Excel. The guest speaker is not affiliated with or sponsored by Advisors Excel. Results from the use of these concepts are no guarantee of your future success. While client appreciation events may be permitted, such event should be reasonable and customary. All producers and investment advisors should be aware of any gifting limitations imposed by federal regulation, state regulation, insurance carriers, broker-dealers and Registered Investment Advisors, as applicable. Investment advisors are strongly encouraged to obtain pre-approval from the broker-dealer and/or Registered Investment Advisor with which they may be affiliated prior to implementing the concepts or strategies discussed in this interview.  Positioning yourself as a celebrity is not a substitute for professional credibility, nor should it be viewed as a shortcut for obtaining new clients. Rather, it is a system of branding and marketing designed to help reinforce your credibility and value proposition. Credibility is founded in knowledge and experience.

Welcome to episode #516 of Six Pixels Of Separation - The Mirum Podcast. When it comes to innovation, one of the most provocative voices in the field is Michael Schrage. It may seem obvious to us now that innovation is when consumer's accept new products and services, but this wasn't always a commonly-held belief (until Michael brought it forward). Ever hear of rapid-prototyping? What about simulations and modelling to improve ROI on innovation investments? All of this thinking was brought into our world by Michael. A research fellow at the MIT Sloan School's Center for Digital Business, author of books like The Innovator's Hypothesis, Who Do You Want Your Customers To Become?, Serious Play, Shared Minds and more, he is a legendary business, innovation, technology and marketing mind. It has been said that no one knows more about how to maximize return on investment from innovation processes than Michael Schrage. Personally, I think he's one of the most fascinating people thinking about business today. Enjoy the conversation...  Here it is: Six Pixels Of Separation - The Mirum Podcast - Episode #516 - Host: Mitch Joel. Running time: 1:00:27. Hello from beautiful Montreal. Subscribe over at iTunes. Please visit and leave comments on the blog - Six Pixels of Separation. Feel free to connect to me directly on Facebook here: Mitch Joel on Facebook. or you can connect on LinkedIn. ...or on twitter. Six Pixels of Separation the book is now available. CTRL ALT Delete is now available too! Here's is my conversation with Michael Schrage. The Innovator's Hypothesis. Who Do You Want Your Customers To Become? Serious Play. Shared Minds. This week's music: David Usher 'St. Lawrence River'. Get David's song for free here: Artists For Amnesty. Download the Podcast here: Six Pixels Of Separation - The Mirum Podcast - Episode #516 - Host: Mitch Joel. Tags: advertising podcast audio blog blogging brand business blog business book business podcast center for digital business david usher digital marketing digital marketing agency digital marketing blog entrepreneurship facebook google innovation itunes j walter thompson jwt leadership podcast management podcast marketing marketing blog marketing podcast michael schrage mirum mirum agency mirum agency blog mirum blog mit mit sloan rapid prototype roi serious play shared minds social media the innovators hypothesis twitter who do you want your customers to become wpp

How well are you using advisor technology to automate your business, augment your work as an advisor, and segment and personalize the value you deliver to your clients? Have you thought strategically about your business model and how you use technology to support it in a profitable way? In today's show, I chat with Michael Schrage, who is one of the world's most provocative thought leaders on innovation. He's also a research fellow at the MIT Sloan School’s Center for Digital Business, a columnist for Harvard Business Review, Fortune, CIO Magazine and MIT’sTechnology Review, and the author of multiple books. Perhaps no one knows more about how to maximize return on investment from innovation processes than Michael. I first became aware of Michael nearly 20 years ago when I read his article, The Relationship Revolution. In the article he said we should think about technology as a way to enhance relationships, and not just a way to add value to information. It stuck with me. Our conversation covers several topics including: How to align using advisor technology to automate, augment, and segment and personalize the work you do. The importance of figuring out your business model (e.g., a highly automated mass market model like Betterment, a high-end, hands-on boutique like AdvicePeriod) and how you use advisor technology to support it. How you can use advisor technology to gather information that leads to insight that allows you to deliver greater value with greater confidence to your selected clients. How advisor technology can deepen your client relationships instead of just "scaling" them. How to use data to optimize what's in the best interests of your clients. Why robo-advisors are not commoditizing investment management--despite what many people believe.

Volvemos a la carga hablando de innovación, pero no desde el plano de los iluminados sino desde las trincheras. En Delicatessen recomendamos el libro Who Do You Want Your Customers to Become? de Michael Schrage, que ha inspirado a Ludo para tratar precisamente el tema de este episodio. ¡Pon una familia de suricatas en tu vida! :-) [AUDIO] The Interview Master: Cal Fussman and the Power of Listening - The Tim Ferriss Show Podcast Somos zetatesters [BLOG] Kirainet - Un geek en Japón. [BLOG] Mr Money Moustache - Early Retirement through Badassity [BLOG] Proyecto Diógenes. [TWITTER] Profesor Potachov. Delicatessen: Who Do You Want Your Customers to Become? [LIBRO Delicatessen] Who Do You Want Your Customers to Become? de Michael Schrage. [LIBRO] Confessions of a Public Speaker - Scott Berkun. [LIBRO] The Myths of Innovation - Scott Berkun. [WEB] CommonCraft. [VÍDEO] ¿Qué es un Wiki? - Doblado por Marc Alier. [VÍDEO] ¿Qué es el RSS? RSS hablando en plata - Doblado por Marc Alier. Os recordamos que podréis encontrar todos los libros Delicatessen que hemos comentado hasta la fecha en http://zetatesters.com/recomendamos/ Turno de acciones Esta semana un pequeño reto relacionado con escribir. Se trata de usar "The Most Dangerous Writing App", aplicación que borra todo lo que has escrito si estás cinco segundos sin escribir :-)

Michael Schrage research fellow with the MIT Sloan School's Center for Digital Business and visiting fellow at the Imperial College Business School in London. He is also one of the best read and most commented bloggers on the Harvard Business Review site.His latest ebook  is called 'Who Do You Want Your Customers To Become?  Geni Whitehouse the “comedian CPA.” A self-proclaimed nerd, former technology executive and CPA firm partner. She is a leader in the accounting profession and has been recognized as a Top 100 Influencer, One of 25 Thought leaders, and one of the Most powerful Women in Accounting. She is the author of “How to Make a Boring Subject Interesting Michel Baudin has been consulting since 1987, teaching courses and writing technical books. He intends to keep working with like-minded partners in the Takt Times Group and contributing improvements in the management and technology of manufacturing as a consultant, trainer, and writer  Doug Eastland top producing Realtor serving the Central Texas market. Doug has been helping clients buy and sell homes for over 17 years. Doug is also a best selling author on real estate with his newly released book "The Ultimate Home Buyers Guide"  

Michael Schrage, research fellow at MIT Sloan School's Center for Digital Business and author of the HBR Single "Who Do You Want Your Customers to Become?"

Where is the intersection between IT and analytics? MIT's Michael Schrage says the two may very well meet in the simple experiments that companies can do via social media and in the retail store. Schrage, who speaks at the 2010 INFORMS Practice Meeting, previews his provocative talk for CIOs and executives in this vibrant podcast. Register for the practice meeting to hear Schrage and analytics experts from top companies at http://meetings.informs.org/Practice2010.

Michael Schrage, research fellow at MIT Sloan School's Center for Digital Business and author of "Serious Play."