The Innovation Show

By: The Innovation Show
  • Summary

  • A Global weekly show interviewing authors to inspire, educate and inform the business world and the curious. Presented by the author of "Undisruptable", this Global show speaks of something greater beyond innovation, disruption and technology. It speaks to the human need to learn: how to adapt to and love a changing world. It embraces the spirit of constant change, of staying receptive, of always learning.
    The Innovation Show
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Episodes
  • Michael Tushman and Charles O'Reilly - Mastering Ambidexterity: Core And Explore
    Nov 15 2024

    🎥 Mastering Ambidexterity: How to Balance Core and Explore with Michael Tushman & Charles O'Reilly

    What You’ll Learn in This Episode:

    The challenges of balancing innovation and efficiency.

    How Microsoft transformed its culture under Satya Nadella using the LEASH Model.

    The role of Corporate Explorers in driving change. Practical tools and strategies for structural ambidexterity.

    In this episode of the Corporate Explorer series, Charles O'Reilly III and Mike Tushman delve into the concept of corporate ambidexterity, focusing on how to balance core (exploit) and explore businesses. They emphasize the creation of separate units with distinct architectures, metrics, and cultures. The discussion explores the critical role of organizational culture and the 'LEASH' model for driving cultural transformation. Using Microsoft under Satya Nadella as a case study, they demonstrate how consistent behavior reinforcement can drive successful cultural change. This episode is essential for leaders aiming to navigate the complexities of innovation within established firms.

    00:00 Introduction to Ambidexterity

    00:25 Challenges in Implementing Ambidexterity

    00:59 Corporate Explorer Series Overview

    01:36 Guest Introduction: Charles O'Reilly and Mike Tushman

    02:05 Core and Explore: Research and Insights

    03:57 The Role of Culture in Ambidexterity

    06:14 Microsoft's Cultural Transformation

    07:32 The LEASH Model Explained

    09:23 Satya Nadella's Leadership at Microsoft

    16:51 Linking Personal and Organizational Renewal

    18:35 Closing Remarks and Resources

    💡 Learn More: Check out related episodes with Tushman & O’Reilly 👉 https://www.youtube.com/playlist?list=PLMxiNrgE29RLJmEfThOicSPPH972VP0U7

    Engage with Us: https://theinnovationshow.io

    Linkedin: https://www.linkedin.com/company/the-innovation-show/

    #Ambidexterity #Innovation #Leadership #OrganizationalChange #CorporateExplorer

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    19 mins
  • Technological Taylorism: How Modern AI is Reshaping the Future of Work
    Nov 13 2024
      Technological Taylorism: How Modern AI is Reshaping the Future of Work In this episode, we delve into the concept of Technological Taylorism and how the advent of AI and automation is restructuring the workforce. We revisit Frederick Taylor’s principles of scientific management and examine their relevance in today's job market. The discussion covers the rise in workplace surveillance, the transformation of jobs into piecemeal tasks, and the increasing vulnerability of freelance and middle management roles. The episode also explores the larger implications of AI on job creation, economic growth, and the potential for a technological singularity. Featuring insights from experts like Paul Daugherty and Yossi Sheffi, this thought-provoking discussion questions the future of labor in an efficient, data-driven world. 00:00 Introduction: Technological Taylorism and the Future of Work 00:32 The Legacy of Frederick Taylor's Scientific Management 01:31 Modern Workforce Surveillance and AI 03:04 The Rise of Freelancers and Automation 05:39 Creative Destruction in the Digital Age 08:13 The Future of Work: Concerns and Predictions 10:24 Conclusion: Human + Machine Paradigm Technological Taylorism: The Automation of Efficiency and the Future of Work The philosopher and media theorist Marshall McLuhan contends that "we shape our tools, and thereafter our tools shape us", The idea suggests that we create and adapt to technologies. These technologies, in turn, shape our behaviours, perceptions, and ultimately, our societies. This goes for any technology from the stopwatch to the advanced artificial intelligence.  I hope I am wrong... In the late 19th and early 20th centuries, Frederick Taylor introduced a management approach that would fundamentally change the industrial world. With tools as basic as a pen, ledger, and stopwatch, Taylor meticulously observed and recorded the activities of factory workers, aiming to enhance efficiency through what he termed "scientific management." This system dissected every action into its basic elements. Taylor's analysis led to the precise timing and reorganization of each task to maximize speed and efficiency. Initially, these changes led to significant productivity gains, but they also stripped workers of their autonomy and sense of craftsmanship. Understandably, Taylorism reduced skilled artisans to interchangeable cogs in a mechanized process. Fast forward to today, and Taylor's shadow looms large over modern workforce management. Today's management practices have evolved to slice jobs into ever-smaller tasks. In 2019, The Wall Street Journal highlighted a significant shift towards workplace surveillance, labelling employees as "workforce data generators." This marked a new phase in management's scientific approach, now armed with AI-driven tools far beyond Taylor's stopwatch. The COVID-19 pandemic and the shift to remote work turbocharged the use of these surveillance tools. A 2021 study by Gartner revealed that the adoption of technologies like facial recognition among employers had doubled to 60% during the pandemic, with predictions of continued growth. This surge in monitoring tools reflects a crisis-induced rush towards greater control, reminiscent of Taylor's response to perceived inefficiencies. The narrative has been that a surefire way to protect yourself in an age of AI is to have a complex, human job. However, when you really examine any complex job it is just a Gordian knot of simple tasks, tasks that can be cheese sliced apart. Consider, AI-powered project management software that eliminates middle management by automating tasks. Once it has unbundled jobs into tasks, it then assembles freelance teams. While these freelancers initially benefit, the software soon learns from their work, and gradually replaces them too. Freelancers are increasingly becoming a significant part of the workforce. A 2022 study by Upwork found that 38% of Americans engaged in freelance work. However, much of this work often involves performing highly specific, repetitive tasks—essentially slicing off a narrow piece of a broader job. These tasks are precisely the kind most vulnerable to automation, leaving freelancers not only contributing to efficiency but also unknowingly putting their own livelihoods at risk as machines learn to replace their roles entirely. This trend isn’t isolated. AI is transforming fields from journalism to radiology, steadily reducing human roles. Taylor’s stopwatch has become the algorithm, and while efficiency soars, the impact on workers echoes the mechanised dehumanisation of Taylorism. This wave will impact computer and software programmers, data analysts, a host of media and marketing jobs, paralegals, financial advisors, consultants, and functional specialists in large organizations. "One of the inevitable results of downsizing is plummeting employee morale. Employees have a hard time squaring all the talk about the importance of ...
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    11 mins
  • Paul R. Daugherty - Radically Human
    Nov 10 2024

    Paul Daugherty - Radically Human

    In this episode, we dive deep with Paul Daugherty, Senior Technology Advisor to Accenture and author of 'Radically Human' and 'Human + Machine'. We explore the evolution of artificial intelligence, its impact on businesses, and how companies can navigate the AI-driven landscape using the IDEAS framework. Paul shares insights into human-centered AI, the importance of trust, and how organizations can reimagine work in the age of AI.

    00:00 Introduction to Human-Centered AI

    00:49 Guest Introduction: Paul Daugherty

    01:45 Context of the Books: Human + Machine and Radically Human

    03:06 Research Insights: AI's Impact on Business Performance

    04:38 Pandemic as an Accelerant for Technology Adoption

    06:23 Tech Vision 2024: Key Trends and Predictions

    09:47 Challenges and Opportunities for CTOs

    18:26 The Digital Core: Modernizing for the AI Era

    24:47 Every Company is a Technology Company

    28:30 Phases of Intelligent Technology

    35:23 The Digital Divide: A Growing Concern

    36:14 Supporting Displaced Workers

    38:30 The Trust Gap in the Workforce

    41:37 The IDEAS Framework: An Overview

    46:49 Deep Learning and Its Limitations

    53:14 The Role of Data in AI

    59:56 Machine Teaching and Human-Machine Hybrids

    01:02:03 Innovating in the Cloud

    01:05:18 Strategic Approaches: Forever Beta and Colabbing

    01:07:44 The Importance of Trust

    01:08:47 Conclusion and Contact Information

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    1 hr and 9 mins

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