179. What Real Human-Machine Collaboration Shows Us

<p>Organizational Change Catching up with the Pace of Technology Change</p> <p>.</p> <p>In their upcoming book, <ins>Working with AI: Real Stories of Human-Machine Collaboration</ins>, due to be released in September 2022, Tom Davenport and Steve Miller, renowned professors and experts in AI, data science, machine learning and information systems, reveal their findings from an in-depth analysis of 29 real-life human-machine collaboration case studies. Host Brad Hairston talks with Tom and Steve about some of the big takeaways from the book and the implications of AI adoption on the workforce and economies across the globe.</p> <p>.</p> <p>Here’s what we talked with Tom and Steve about:</p> <p>* How companies (in general) are doing in their effort to scale their AI capabilities</p> <p>* Learnings from the 29 real-life worker-AI collaboration case studies featured in the book, <ins>Working with AI: Real Stories of Human-Machine Collaboration,</ins></p> <p>* The reality around technology replacing human labor en masse in the near future</p> <p>* The pace and scope of organizational changes being driven by AI</p> <p>* “Augmentation” versus “Automation”</p> <p>* How AI is driving workforce re-skilling/up-skilling</p> <p>* The importance of employment and labor market issues when considering the impact of AI</p> <p>Link to article about the book discussed in this podcast: <a href="https://thegradient.pub/artificial-intelligence-and-work-two-perspectives/">https://thegradient.pub/artificial-intelligence-and-work-two-perspectives/</a></p> <p>To ensure that you never miss an episode of <em>Transform NOW</em>, be sure to subscribe!</p>