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

<description>&lt;p&gt;&lt;strong&gt;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.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;They also discuss:&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;· Borderless work that opens global opportunities.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;· Why diversity and inclusion are going to be paramount.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;· What leaders should be doing today to prepare for the new workforce.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt; https://peggysmedleyshow.com&lt;/strong&gt;&lt;/p&gt;</description>

When Work Becomes Personalized

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. <a href="https://lovelace.ai" target="_blank" rel= "noopener">https://lovelace.ai</a>

<description>&lt;p&gt;&lt;strong&gt;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.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;They also discuss:&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;· Good data versus bad data and how to determine what is the most important information.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;· Why independent data is so important today—and an example of it.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;· How realtime global intelligence can enhance all of this—and the importance of looking at a lot of things at once.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;&lt;a href="https://lovelace.ai" target="_blank" rel= "noopener"&gt;https://lovelace.ai&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;</description>

From Raw Data to Context

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. <a href="https://peggysmedleyshow.com" target="_blank" rel="noopener">https://peggysmedleyshow.com</a>

<description>&lt;p&gt;&lt;strong&gt;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.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;She also discusses:&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;· Why framing women as behind is too simplistic because some skepticism around AI is healthy.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;· Five major concerns that could come as a result if this gap persists.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;· What needs to happen next to ensure consistent adoption across companies.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;&lt;a href="https://peggysmedleyshow.com" target="_blank" rel="noopener"&gt;https://peggysmedleyshow.com&lt;/a&gt;&lt;/strong&gt;&lt;/p&gt;</description>

Women and the AI Gap

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. <a href="https://ctl.mit.edu">https://ctl.mit.edu</a>

<description>&lt;p&gt;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.&lt;/p&gt; &lt;p&gt;They also discuss:&lt;/p&gt; &lt;p&gt;· What public officials need to be debating—and if taxes need to shift.&lt;/p&gt; &lt;p&gt;· What obligations AI developers must ensure against systemic failure or success.&lt;/p&gt; &lt;p&gt;· How AI is changing the workforce and how workers can prepare for it.&lt;/p&gt; &lt;p&gt;&lt;a href="https://ctl.mit.edu"&gt;https://ctl.mit.edu&lt;/a&gt;&lt;/p&gt;</description>

When Innovation Outpaces Governance

Peggy Smedley and Boris Martin, Engineers Without Borders USA, talk about healthcare workers that are fighting to save lives without the basics like clean water, safe sanitation, and dependable energy. He says the question of fair, equitable access to infrastructure is seldom in the news and people don't pay much attention to it, but health often is. They also discuss: · Engineering solutions and community partnerships that can help. · Stories from around the world. · How innovation can help solve this global problem. <a href="https://ewb-usa.org" target="_blank" rel= "noopener">https://ewb-usa.org</a>

<description>&lt;p&gt;&lt;strong&gt;Peggy Smedley and Boris Martin, Engineers Without Borders USA, talk about healthcare workers that are fighting to save lives without the basics like clean water, safe sanitation, and dependable energy. He says the question of fair, equitable access to infrastructure is seldom in the news and people don't pay much attention to it, but health often is.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;They also discuss:&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;· Engineering solutions and community partnerships that can help.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;· Stories from around the world.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;· How innovation can help solve this global problem.&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;a href="https://ewb-usa.org" target="_blank" rel= "noopener"&gt;&lt;strong&gt;https://ewb-usa.org&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;</description>

Infrastructure that Powers Healthcare

IoT, AI, the Future of Work—if it's revolutionizing industries, Peggy's talking about it. Each week on The Peggy Smedley Show, she delivers cutting-edge perspectives from top experts, keeping 150,000+ listeners ahead of the curve.

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