Peggy talks about how manufacturers have production systems, improvement programs, and even data, but fail to implement consistently across their organizations. She says we need to move beyond reactive data and to better connections between data, people, learning, and action.

She also discusses:

· How many have a global production system—and how many report that it is fully implemented across all sites.

· Why so many efforts fall short, including the two traps many manufacturers fall into.

· How to solve the challenge with a combination of people and data.

https://peggysmedleyshow.com

Peggy Smedley and Angie Wordell, executive vice president and chief operations and supply chain officer, Graco, talk about the company reaching 100 years and how it achieved the longevity. She says it is about staying close to customers and solving real-world problems.

They also discuss:

· The two founders who solved an industry problem and the pivotal inflection points.

· The technology transformation and its impact on the market and business.

· How labor, safety, and business intersect for a company reaching 100 years.

https://www.graco.com/us/en.html

Peggy Smedley and Dave Moelker, CEO, Twisthink, talk about why connected products, data, and AI matter today more than ever before. He says customers' expectations continue to move forward and too often there is a gap between insight and action.

They also discuss:

· Why so many connected product efforts stall at the pilot stage.

· A good place to start with these efforts today.

· Advice for the next 30 days—and four steps to take now.

https://twisthink.com

Peggy gives her thoughts about why humanity stands at a crossroads with AI (artificial intelligence). She says we need to have a conversation about what kind of future we want to build.

She also discusses:

· What the Pope has to say about AI.

· What happens when AI becomes increasingly autonomous.

· The steps to take to develop successful technology ecosystems.

https://peggysmedleyshow.com

Peggy Smedley and Chris Willis, chief design officer and futurist, Domo, talk about the danger of moving too fast with AI (artificial intelligence). He says real strategy doesn't start with fear; it starts with trying to solve a problem.

They also discuss:

· What history tells us about this movement, such as the PC revolution.

· What needs to happen to greenlight AI projects.

· How to go faster on the things you know will work.

https://www.domo.com/

Peggy Smedley and Tim Lindner, warehouse automation consultant, talk about the widening gap between China and the United States in robot manufacturing and why the disparity is growing. He says robot manufacturing isn't just a technology sector anymore, but rather a foundational geopolitical battleground.

They also discuss:

· The ways the United States is falling behind in robot manufacturing.

· The numbers related to the growth geographically and the cost of robotics.

· What will happen when you can create a robot that can learn from its actions.

https://www.connectedworld.com/

On Aiglatson, Peggy Smedley and cohost Dennis Draeger, foresight director, Shaping Tomorrow, talk about how workers are gaining autonomy, the inherent complexity with that, and how organizations protect collaboration and creativity when work becomes personalized. He says looking broadly the market doesn't seem to be responding to the idea that AI (artificial intelligence) is going to make a workless world.

They also discuss:

· Borderless work that opens global opportunities.

· Why diversity and inclusion are going to be paramount.

· What leaders should be doing today to prepare for the new workforce.

https://peggysmedleyshow.com

Peggy Smedley and Andrew Moore, founder and CEO, Lovelace, talk about the move from raw data to real, trusted context. He has been working in AI his whole career, both in academia and industry, and he wants to make sure AI is useful.

They also discuss:

· Good data versus bad data and how to determine what is the most important information.

· Why independent data is so important today—and an example of it.

· How realtime global intelligence can enhance all of this—and the importance of looking at a lot of things at once.

https://lovelace.ai

Peggy talks about why women are adopting AI (artificial intelligence) tools at a lower rate than men on average. She says when more people understand and use AI effectively, everyone benefits.

She also discusses:

· Why framing women as behind is too simplistic because some skepticism around AI is healthy.

· Five major concerns that could come as a result if this gap persists.

· What needs to happen next to ensure consistent adoption across companies.

https://peggysmedleyshow.com

Peggy Smedley and Bryan Reimer, research scientist, MIT Center for Transportation and Logistics, talk about some of the tough AI (artificial intelligence) questions: Who pays for its impact? How will we tax it? Who is liable when it fails? Who gets hit hardest in the workforce? What happens when innovation outruns governance? How do we make AI really useful? He says we forget that AI today may be as much of a transformation in society as electricity was many years ago.

They also discuss:

· What public officials need to be debating—and if taxes need to shift.

· What obligations AI developers must ensure against systemic failure or success.

· How AI is changing the workforce and how workers can prepare for it.

https://ctl.mit.edu