Podcasts about Big data

For B2B marketers, reaching the right decision-makers can feel like searching for a needle in a haystack. Traditional lead generation tactics often produce high volumes of low-quality leads that rarely convert, while valuable opportunities slip through the cracks. Account-based marketing (ABM) flips this model on its head by focusing your resources on a carefully selected …

Producing high-quality video content is already a big investment. But without a compelling voiceover, even the most beautifully edited video can fall flat. A powerful voiceover doesn't just explain your message—it adds personality, boosts viewer engagement, and drives action. Unfortunately, hiring voice talent is time-consuming, expensive, and often frustrating to manage. Talkia Talkia is advanced …

Peggy Smedley and Ryan McGuire, president, Clayco Compute, talk about data center construction trends. He says this year, which is the same as last year, the company's revenue in the data center business will represent about 50% of the total revenue of the company, which is approaching $1 billion.  They also discuss: Why data center construction is exciting and the promise of artificial intelligence. The challenges of the rise of data centers. 3 things that can help solve the labor shortage. claycorp.com/work/mission-critical  (5/27/25 - 922) What You Might Have Missed:  What's Driving Data Centers At the Sustainable Data Center Data Center Design and Sustainability IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Ryan McGuire, Clayco Compute This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy talks about work zone and road safety, saying there are far too many crashes. She explores the dangers that exist on the road today, identifying how to keep workers and motorists safe. She also discusses: Research that has been conducted. Efforts being made at the local and federal levels. A case study that is leveraging technology in a unique way to ensure construction workers are safe. peggysmedleyshow.com  (5/27/25 - 922) What You Might Have Missed:  Tech to the Rescue Improving Road Safety and Efficiency Driving Insights IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy Smedley and Kat Kraft, director of product, Teren, talk about geospatial analysis, sharing how her organization is using predictive analytics to help her clients shift the paradigm from a reactive response to a more proactive response. She says the company develops and applies machine learning to identify where environmental conditions are changing that may trigger risks to communities or critical infrastructure.  They also discuss: How geospatial analysis can help in a number of different areas. The challenges that relate to geospatial analysis and Earth science. If we see an impact on the bottomline. teren4d.com  (5/27/25 - 922) What You Might Have Missed:  Manufacturing: Yesterday, Today, and Tomorrow Manage Construction Project Risk The Makings of a Smart Elevator IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Kat Kraft, Teren This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Embark on an insightful exploration of the hospitality sector, powered by data-driven analysis. Cindi Howson and Hyatt's data trailblazer, Ray Boyle (Vice President, Data and Analytics), are charting a course through Hyatt's data innovation. Witness how Hyatt's four-pillar data strategy is revolutionizing everything from employee empowerment to guest personalization and operational efficiency. Discover how Hyatt is democratizing data with self-service tools and pioneering an AI-powered frontier to redefine the very essence of hospitality!Key Moments: Data as an Asset (08:26): Ray emphasizes the importance of shifting the organizational mindset to view data not as a cost center, but as a critical asset. He discusses how data should be cared for, invested in, and stored like any other valuable asset, with the expectation of generating value for the business.  Hyatt's Data Strategy Pillars (13:00): Ray outlines the four key pillars that form the foundation of Hyatt's data strategy. These pillars include cultivating people and building a data-driven culture, personalizing the guest and customer experience in a high-trust environment, operating with excellence by ensuring operational efficiency and information consistency, and growing with intent by integrating new businesses and data flows.  Key Milestones in Hyatt's Data Transformation (16:42): Ray details the significant milestones in Hyatt's data transformation journey. These include clarifying the data strategy, establishing the data and AI operating model, building data governance capabilities, modernizing the data platform and infrastructure, expanding data assets, and releasing new services like personalization and forecasting.  Data Democratization and Data Fluency (23:00): Ray explains Hyatt's strong emphasis on self-service analytics to empower users across the organization. He discusses the importance of data accessibility, trustworthiness, and usability, as well as the potential of generative AI to further democratize data access and insights.  This includes building a data community to facilitate knowledge sharing and learning, as well as providing tooling and guidance to business organizations to effectively roll out analytics within their domains.  AI's Impact and Collaboration (31:35): Ray explores the transformative impact of AI on businesses and its role in fostering tighter collaboration between business and technology teams. He discusses how AI is driving the need for reimagined workflows and how it's changing the way data is used and delivered across the organization.Key Quotes:“ThoughtSpot has been a key partner of ours on that journey. We just roll the data into the cloud, and we're working to publish our assets, sales, finance, loyalty, revenue, search, and marketing into that infrastructure so that there's just a growing base of information that everybody can use in the self-service context.” - Raymond Boyle"Velocity is something you build over time. It's how I think about the operating model around data, ensuring everyone plays their role and develops the necessary skills. To me, velocity increases as you establish the operating model and you have the business, technology, and data organizations, along with governance and security, all participating effectively. - Raymond Boyle"When you think about the business outcomes and how people are beginning to consider AI's potential in that transformation, I believe AI is becoming a more significant factor every quarter." - Raymond BoyleMentionsThe Four V's of Big Data, Including VelocityDalva, By Jim HarrisonMinnesota Timberwolves' SuccessGuest Bio Ray Boyle (current Vice President, Data and Analytics at Hyatt) has enjoyed a distinguished career spanning several industries and roles across consulting, software, analytics, and data leadership. His notable roles include leading strategic planning, research, and analytics for Walmart's Sam's Club division; serving as Vice President of Walmart Global Customer Insights and Analytics; Vice President of Walmart's Global Data and Analytics Platform; Vice President leading FICO's global retail and CPG practice; and Executive Vice President heading IRI's Global Shopper Analytics and Services team.Since 2019, Ray has served as Vice President, Data and Analytics at Hyatt. Aligned with Hyatt's purpose — to care for people so they can be their best — his ambition is to elevate and scale that care through data-driven decisions and automation that benefit guests, customers, owners, and colleagues.Guest Bio Ray Boyle (current Vice President, Data and Analytics at Hyatt) has enjoyed a distinguished career spanning several industries and roles across consulting, software, analytics, and data leadership. His notable roles include leading strategic planning, research, and analytics for Walmart's Sam's Club division; serving as Vice President of Walmart Global Customer Insights and Analytics; Vice President of Walmart's Global Data and Analytics Platform; Vice President leading FICO's global retail and CPG practice; and Executive Vice President heading IRI's Global Shopper Analytics and Services team.Since 2019, Ray has served as Vice President, Data and Analytics at Hyatt. Aligned with Hyatt's purpose — to care for people so they can be their best — his ambition is to elevate and scale that care through data-driven decisions and automation that benefit guests, customers, owners, and colleagues. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Peggy Smedley and Raj Paul, senior director, Americas Mobility Industry, Microsoft and Knud Lasse Lueth, CEO & founder, IoT Analytics, talk about SDVs (software-defined vehicles) and a new report: Microsoft's Software-Defined Vehicles: Adoption and Impact. Raj Paul says the amount of software that is getting into the car, it has been an exponential race. Knud Lasse Lueth says the research shows SDVs is the No. 1 priority that car OEMs currently have when they think about getting ready for the future. They also discuss: The numbers and findings from the study. Zonal architecture and how OEMs are looking at it. The supplier's perspective to provide OEMs with software-defined vehicles. Register for the Webinar Mobility Solutions | Microsoft Industry IoT Analytics - Your Global IoT Market Research Partner (5/20/25 - 921) What You Might Have Missed:  Automotive Ahead CES 2025 Preview: What's Next for Automotive? The Age of AI in Automotive IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Raj Paul, Microsoft, Knud Lasse Lueth, IoT Analytics This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy Smedley talks about how manufacturing and sustainability need to come together with normal business activity. She says we need to leverage data, and we need to move to a new way of working. She also discusses: How much of the world's energy usage comes from the manufacturing and production sectors and challenges in manufacturing that require a shift to a more circular approach. New digital initiatives such as the Digital Product Passport. Three key steps to create the circular economy. peggysmedleyshow.com  (5/20/25 - 921) What You Might Have Missed:  All about Additive Manufacturing Stronger Supply Chains in 2025 Manufacturing with the IoT in 2025 IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy Smedley and Prithwiraj Choudhury, Lumry Family Associate Professor, Harvard Business School and author, The World Is Your Office, talk about work from anywhere trends. He has been studying the geography of work for more than a decade before hybrid work was a trend.  They also discuss: The difference between work from anywhere and work from home. How AI and sensors can enable blue collar workers to work from anywhere. How digital twins enable the second wave of work from anywhere. hbr.org  (5/20/25 - 921) What You Might Have Missed:  Use Cases for AI Employment Is Dead Empowering Women on the Way to the Top IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, author, Prithwiraj Choudhury, Harvard Business School  This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

This special International Alzheimer’s Day episode features world-renowned nutritionist and author Patrick Holford, founder of Food for the Brain. Join Dr Ron Ehrlich and Patrick as they dismantle the outdated paradigm of amyloid-centric Alzheimer’s treatment and uncover how 99% of cases may be preventable through nutrition, biomarkers, and citizen-driven data.Learn how modern medicine’s reductionist mindset is failing us and how the future of cognitive health lies in big data, AI, and empowered lifestyle changes. Discover actionable insights into homocysteine, omega-3s, blood sugar, vitamin D, and glutathione, and why testing, not guessing is the key to preventing cognitive decline. Links in ShownotesPatrick Holford BOOKS https://www.patrickholford.com/books/Food For the Brain Website - https://foodforthebrain.orgCognitive Function Test (10 mins) Show notes are available at CLICK HERE CONNECT WITH DR RON & UNSTRESS HEALTH Join the Unstress Health Community: CLICK HERE INSTAGRAM: CLICK HERE YOUTUBE: CLICK HERE FACEBOOK: CLICK HERE TIKTOK: CLICK HERE SPOTIFY: CLICK HERE LinkedIn: CLICK HERE EMAIL: admin@unstresshealth.com DISCLAIMER: This podcast provides general information and discussion about medicine, health and related subjects. This content is not intended and should not be construed as medical advice or as a substitute for care by a qualified medical practitioner. If you or any other person has a medical concern, he or she should consult with an appropriately qualified medical practitioner. Guests who speak in this podcast express their own opinions, experiences and conclusions. See omnystudio.com/listener for privacy information.

Send us a textData drives nearly every aspect of modern life, from the algorithms suggesting what you should watch tonight to the autonomous vehicles navigating city streets. Yet in the world of finance—where you might expect data to reign supreme—the relationship between information and decision-making is surprisingly complicated (and relatively new).Professor Mike Gallmeyer pulls back the curtain on this fascinating paradox, revealing why financial markets present unique challenges for data-driven approaches. While Tesla collects millions of data points daily to perfect self-driving technology, investors working with a century of stock market returns have barely over a thousand data points to analyze. This fundamental limitation—what Gallmeyer calls the difference between "big data" and finance's "small data" reality—creates profound implications for how we should think about investment decisions.The conversation delves into the historical evolution of financial data, from the pre-1960s era when decisions relied heavily on intuition and "soft information," through the development of the CRISP database at the University of Chicago, to today's sophisticated algorithmic trading systems. Gallmeyer explains how market participants continuously adapt to new information sources, creating an ever-evolving landscape where yesterday's winning strategy becomes tomorrow's conventional wisdom. This endogenous change within financial markets makes them fundamentally different from systems where data collection leads to steady, predictable improvement.For anyone fascinated by markets, data science, or the intersection of human judgment and quantitative analysis, this episode offers valuable perspective on the promises and limitations of data-driven decision making. Whether you're managing your retirement portfolio or simply curious about how markets function, you'll gain insights into why certain problems remain resistant to even our most sophisticated analytical tools—and where human judgment still provides irreplaceable value.Show Notes:Dimson, Marsh, & Staunton, Global Investment Returns Yearbook 2025Kim, Muhn, et al., Financial Statement Analysis with Large Language Models (2024)New York Fed Staff NowcastFederal Reserve Bank of Atlanta, GDPNowThanks for listening! Please be sure to review the podcast or send your comments to me by email at info@not-another-investment-podcast.com. And tell your friends!

  Ron Bienvenu's - The 5th Shock The Global Consequences of Big Data (Part 2) The Black Spy Podcast, Season 20, Episode 0004 In this week's Black Spy Podcast Carlton continues his discussion with Ron Bienvenu concerning his new book The 5th Shock in which Ron postulates the effects of AI, LLMs, and Robotics: and other emerging trends and impacts Integration of LLMs in Robotics:  Large Language Models are increasingly being integrated into robotic systems, enabling more intuitive human-robot interactions. For instance, projects like OpenVLA demonstrate how combining vision-language-action models with robotics can enhance adaptability and performance in complex tasks. 2. Commercialization and Economic Impact: The commercialization of AI and robotics is accelerating, with applications spanning healthcare, manufacturing, and logistics. Companies like Amazon are investing in AI-driven robotics to optimize warehouse operations, reflecting a broader trend towards automation in various industries. 3. Ethical and Societal Considerations:  As AI systems become more integrated into daily life, ethical considerations around data privacy, job displacement, and decision-making autonomy are gaining prominence. Ensuring responsible development and deployment of these technologies is crucial to mitigate potential societal risks. In these two fascinating episodes all of the above points are considered and debated in detail. Hence, once again, if you want to know how the world around you functions and understand the power of those who pull the strings in our system, then this is a Black Spy Podcast that you should definitely not miss. Remember, if you want to continue learning whilst being entertained, and not miss an episode of the Black Spy Podcast, then please don't forget to subscribe for free. To contact Firgas Esack of the DAPS Agency go to Linked In To contact Carlton King by utilising any of the following: To donate - Patreon.com/TheBlackSpyPodcast Email: carltonking2003@gmail.com Facebook: The Black Spy Podcast Facebook: Carlton King Author Twitter@Carlton_King Instagram@carltonkingauthor To read Carlton's Autobiography: “Black Ops – The incredible true story of a (Black) British secret agent” Click the link below: https://www.amazon.co.uk/dp/BO1MTV2GDF/ref=cm_sw_r_cp_awdb_WNZ5MT89T9C14CB53651 Carlton is available for speaking events. For this purpose use the contact details above. https://amzn.eu/d/fmzzq9h

Peggy Smedley and Duygu Alptekin Gürsu, international executive leadership and team coach, and author, Empowering Women on the Way to the Top, talk about why she wrote the book. She explains how she has faced firsthand the systemic barriers women face and that they have not changed much. They also discuss: How organizations can help empower women. Why we need women at the top—and how to help them get there. How to look at leadership advice differently. duygualptekin.com  (5/13/25 - 920) What You Might Have Missed:  Women at Work in 2025 The State of Women at Work Starting a Business IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Duygu Alptekin Gürsu, author This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.  

Peggy Smedley talks about how companies can stand out in an oversaturated market when you need to do something different. She says some of the staggering statistics are not going away anytime soon—and she talks about what can be done to stand out and compete. She also discusses: Six factors creating market instability. How to control the conversation in an evolving market. The importance of a production strategy and an amplification plan. peggysmedleyshow.com  (5/13/25 - 920) What You Might Have Missed:  Key Considerations for Manufacturing Mother, Daughter Career Journey IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy talks about new labor trends, including quiet cracking. She gives a peek behind the curtain into what is happening with our workforce—and how all of these trends will ultimately impact the future of work.  She also discusses: The past five years and movements such as the great resignation, quiet quitting, labor hoarding, and more. The percentage of people quiet cracking—and how it is impacting the workforce. What steps we need to take today to prepare for the future of work. peggysmedleyshow.com  (5/13/25 - 920) What You Might Have Missed:  The Hottest Labor Trends All about Quiet Quitting IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Join host Peter Bandettini as he interviews Michael Milham, a pioneer in functional brain imaging and big data neuroscience. In this episode, Dr. Milham shares insights from his groundbreaking work on large-scale fMRI datasets, deep phenotyping, and the future of precision psychiatry.Topics include: - Challenges and opportunities in big data MRI - Individual variability in brain imaging - Resting-state fMRI and pipeline reliability - Integrating multimodal and real-world data - AI, machine learning, and biomarkers in psychiatryDr. Milham is Chief Science Officer at the Child Mind Institute and a leader behind major initiatives like the creation of large, open-access datasets (e.g., ADHD-200, Healthy Brain Network) to enable population-level studies. Tune in for a deep dive into the evolving landscape of neuroimaging research and its clinical potential.We hope you enjoy this episode!Episode ProducersAlfie WearnOmer Faruk Gulban

So even the people that follow the topic closely are stunned by the digital landscape that engulfs our children, how quickly it evolves, and the potential social cost. Two people in a unique position to explain all this are our guest today, Jeffrey Chester and Kathryn Montgomery, both from the Center for Digital Democracy. Jeff is executive director of the Center, and Kathryn is its research director and senior strategist, as well as professor emerita of communication at American University. Jeff and Kathryn have been pioneers in this work and have been uniquely strong voices for protecting children. Interview Summary Let me congratulate the two of you for being way ahead of your time. I mean the two of you through your research and your advocacy and your organizational work, you were onto these things way before most people were. I'm really happy that you're joining us today, and welcome to our podcast. Kathryn, let me begin with you. So why be concerned about this digital landscape? Kathryn - Well, certainly if we're talking about children and youth, we have to pay attention to the world they live in. And it's a digital world as I think any parent knows, and everybody knows. In fact, for all of us, we're living in a digital world. So young people are living their lives online. They're using mobile phones and mobile devices all the time. They're doing online video streaming. They form their communications with their peers online. Their entire lives are completely integrated into this digital media landscape, and we must understand it. Certainly, the food and beverage industry understand it very well. And they have figured out enormously powerful ways to reach and engage young people through these digital media. You know, the extent of the kids' connection to this is really remarkable. I just finished a few minutes ago recording a podcast with two people involved with the Children and Screens organization. And, Chris Perry, who's the executive director of that organization and Dmitri Christakis who was with us as well, were saying that kids sometimes check their digital media 300 times a day. I mean, just unbelievable how much of this there is. There's a lot of reasons to be concerned. Let's turn our attention to how bad it is, what companies are doing, and what might be done about it. So, Jeff, tell us if you would, about the work of the Center for Digital Democracy. Jeff - Well, for more than a quarter of a century, we have tracked the digital marketplace. As you said at the top, we understood in the early 1990s that the internet, broadband what's become today's digital environment, was going to be the dominant communications system. And it required public interest rules and policies and safeguards. So as a result, one of the things that our Center does is we look at the entire digital landscape as best as we can, especially what the ultra-processed food companies are doing, but including Google and Meta and Amazon and GenAI companies. We are tracking what they're doing, how they're creating the advertising, what their data strategies are, what their political activities are in the United States and in many other places in the world. Because the only way we're going to hold them accountable is if we know what they're doing and what they intend to do. And just to quickly follow up, Kelly, the marketers call today's global generation of young people Generation Alpha. Meaning that they are the first generation to be born into this complete digital landscape environment that we have created. And they have developed a host of strategies to target children at the earliest ages to take advantage of the fact that they're growing up digitally. Boy, pretty amazing - Generation Alpha. Kathryn, I have kind of a niche question I'd like to ask you because it pertains to my own career as well. So, you spent many years as an academic studying and writing about these issues, but also you were a strong advocacy voice. How did you go about balancing the research and the objectivity of an academic with advocacy you were doing? Kathryn - I think it really is rooted in my fundamental set of values about what it means to be an academic. And I feel very strongly and believe very strongly that all of us have a moral and ethical responsibility to the public. That the work we do should really, as I always have told my students, try to make the world a better place. It may seem idealistic, but I think it is what our responsibility is. And I've certainly been influenced in my own education by public scholars over the years who have played that very, very important role. It couldn't be more important today than it has been over the years. And I think particularly if you're talking about public health, I don't think you can be neutral. You can have systematic ways of assessing the impact of food marketing, in this case on young people. But I don't think you can be totally objective and neutral about the need to improve the public health of our citizens. And particularly the public health of our young people. I agree totally with that. Jeff let's talk about the concept of targeted marketing. We hear that term a lot. And in the context of food, people talk about marketing aimed at children as one form of targeting. Or, toward children of color or people of color in general. But that's in a way technological child's play. I understand from you that there's much more precise targeting than a big demographic group like that. Tell us more. Jeff - Well, I mean certainly the ultra-processed food companies are on the cutting edge of using all the latest tools to target individuals in highly personalized way. And I think if I have one message to share with your listeners and viewers is that if we don't act soon, we're going to make an already vulnerable group even more exposed to this kind of direct targeted and personalized marketing. Because what artificial intelligence allows the food and beverage companies and their advertising agencies and platform partners to do is to really understand who we are, what we do, where we are, how we react, behave, think, and then target us accordingly using all those elements in a system that can create this kind of advertising and marketing in minutes, if not eventually milliseconds. So, all of marketing, in essence, will be targeted because they know so much about us. You have an endless chain of relationships between companies like Meta, companies like Kellogg's, the advertising agencies, the data brokers, the marketing clouds, et cetera. Young people especially, and communities of color and other vulnerable groups, have never been more exposed to this kind of invasive, pervasive advertising. Tell us how targeted it can be. I mean, let's take a 11-year-old girl who lives in Wichita and a 13-year-old boy who lives in Denver. How much do the companies know about those two people as individuals? And how does a targeting get market to them? Not because they belong to a big demographic group, but because of them as individuals. Jeff - Well, they certainly are identified in various ways. The marketers know that there are young people in the household. They know that there are young people, parts of families who have various media behaviors. They're watching these kinds of television shows, especially through streaming or listening to music or on social media. Those profiles are put together. And even when the companies say they don't exactly know who the child is or not collecting information from someone under 13 because of the privacy law that we helped get enacted, they know where they are and how to reach them. So, what you've had is an unlimited amassing of data power developed by the food and beverage companies in the United States over the last 25 years. Because really very little has been put in their way to stop them from what they do and plan to do. So presumably you could get some act of Congress put in to forbid the companies from targeting African American children or something like that. But it doesn't sound like that would matter because they're so much more precise in the market. Yes. I mean, in the first place you couldn't get congress to pass that. And I think this is the other thing to think about when you think about the food and beverage companies deploying Generative AI and the latest tools. They've already established vast, what they call insights divisions, market research divisions, to understand our behavior. But now they're able to put all that on a fast, fast, forward basis because of data processing, because of data clouds, let's say, provided by Amazon, and other kinds of tools. They're able to really generate how to sell to us individually, what new products will appeal to us individually and even create the packaging and the promotion to be personalized. So, what you're talking about is the need for a whole set of policy safeguards. But I certainly think that people concerned about public health need to think about regulating the role of Generative AI, especially when it comes to young people to ensure that they're not marketed to in the ways that it fact is and will continue to do. Kathryn, what about the argument that it's a parent's responsibility to protect their children and that government doesn't need to be involved in this space? Kathryn - Well, as a parent, I have to say is extremely challenging. We all do our best to try to protect our children from unhealthy influences, whether it's food or something that affects their mental health. That's a parent's obligation. That's what a parent spends a lot of time thinking about and trying to do. But this is an environment that is overwhelming. It is intrusive. It reaches into young people's lives in ways that make it virtually impossible for parents to intervene. These are powerful companies, and I'm including the tech companies. I'm including the retailers. I'm including the ad agencies as well as these global food and beverage companies. They're extremely powerful. As Jeff has been saying, they have engaged and continue to engage in enormous amounts of technological innovation and research to figure out precisely how to reach and engage our children. And it's too much for parents. And I've been saying this for years. I've been telling legislators this. I've been telling the companies this. It's not fair. It's a very unfair situation for parents. That makes perfect sense. Well, Jeff, your Center produces some very helpful and impressive reports. And an example of that is work you've done on the vast surveillance of television viewers. Tell us more about that, if you would. Jeff - Well, you know, you have to keep up with this, Kelly. The advocates in the United States and the academics with some exceptions have largely failed to address the contemporary business practices of the food and beverage companies. This is not a secret what's going on now. I mean the Generative AI stuff and the advanced data use, you know, is recent. But it is a continuum. And the fact is that we've been one of the few groups following it because we care about our society, our democracy, our media system, et cetera. But so much more could be done here to track what the companies are doing to identify the problematic practices, to think about counter strategies to try to bring change. So yes, we did this report on video streaming because in fact, it's the way television has now changed. It's now part of the commercial surveillance advertising and marketing complex food and beverage companies are using the interactivity and the data collection of streaming television. And we're sounding the alarm as we've been sounding now for too long. But hopefully your listeners will, in fact, start looking more closely at this digital environment because if we don't intervene in the next few years, it'll be impossible to go back and protect young people. So, when people watch television, they don't generally realize or appreciate the fact that information is being collected on them. Jeff - The television watches you now. The television is watching you now. The streaming companies are watching you now. The device that brings you streaming television is watching you now is collecting all kinds of data. The streaming device can deliver personalized ads to you. They'll be soon selling you products in real time. And they're sharing that data with companies like Meta Facebook, your local retailers like Albertsons, Kroger, et cetera. It's one big, huge digital data marketing machine that has been created. And the industry has been successful in blocking legislation except for the one law we were able to get through in 1998. And now under the Trump administration, they have free reign to do whatever they want. It's going to be an uphill battle. But I do think the companies are in a precarious position politically if we could get more people focused on what they're doing. Alright, we'll come back to that. My guess is that very few people realize the kind of thing that you just talked about. That so much information is being collected on them while they're watching television. The fact that you and your center are out there making people more aware, I think, is likely to be very helpful. Jeff - Well, I appreciate that, Kelly, but I have to say, and I don't want to denigrate our work, but you know, I just follow the trades. There's so much evidence if you care about the media and if you care about advertising and marketing or if you care, just let's say about Coca-Cola or Pepsi or Mondalez. Pick one you can't miss all this stuff. It's all there every day. And the problem is that there has not been the focus, I blame the funders in part. There's not been the focus on this marketplace in its contemporary dimensions. I'd like to ask you both about the legislative landscape and whether there are laws protecting people, especially children from this marketing. And Kathy, both you and Jeff were heavily involved in advocacy for a landmark piece of legislation that Jeff referred to from 1998, the Children's Online Privacy Protection Act. What did this act involve? And now that we're some years in, how has it worked? Kathryn - Well, I always say I've been studying advertising in the digital media before people even knew there was going to be advertising in digital media. Because we're really talking about the earliest days of the internet when it was being commercialized. But there was a public perception promoted by the government and the industry and a lot of other institutions and individuals that this was going to be a whole new democratic system of technology. And that basically it would solve all of our problems in terms of access to information. In terms of education. It would open up worlds to young people. In many ways it has, but they didn't talk really that much about advertising. Jeff and I working together at the Center for Media Education, were already tracking what was going on in that marketplace in the mid-1990s when it was very, very new. At which point children were already a prime target. They were digital kids. They were considered highly lucrative. Cyber Tots was one of the words that was used by the industry. What we believed was that we needed to get some public debate and some legislation in place, some kinds of rules, to guide the development of this new commercialized media system. And so, we launched a campaign that ultimately resulted in the passage of the Children's Online Privacy Protection Act. Now it only governs commercial media, online, digital media that targets children under the age of 13, which was the most vulnerable demographic group of young people. We believe protections are really, really very important for teenagers. There's a lot of evidence for that now, much more research actually, that's showing their vulnerable abilities. And it has required companies to take young people into account when developing their operations. It's had an impact internationally in a lot of other countries. It is just the barest minimum of what we need in terms of protections for young people. And we've worked with the Federal Trade Commission over the years to ensure that those rules were updated and strengthened so that they would apply to this evolving digital media system. But now, I believe, that what we need is a more global advocacy strategy. And we are already doing that with advocates in other countries to develop a strategy to address the practices of this global industry. And there are some areas where we see some promising movement. The UK, for example, passed a law that bans advertising on digital media online. It has not yet taken effect, but now it will after some delays. And there are also other things going on for ultra processed foods, for unhealthy foods and beverages. So, Kathryn has partly answered this already, Jeff, but let me ask you. That act that we've talked about goes back a number of years now, what's being done more recently on the legislative front? Perhaps more important than that, what needs to be done? Well, I have to say, Kelly, that when Joe Biden came in and we had a public interest chair at the Federal Trade Commission, Lena Khan, I urged advocates in the United States who are concerned about unhealthy eating to approach the Federal Trade Commission and begin a campaign to see what we could do. Because this was going to be the most progressive Federal Trade Commission we've had in decades. And groups failed to do so for a variety of reasons. So that window has ended where we might be able to get the Federal Trade Commission to do something. There are people in the United States Congress, most notably Ed Markey, who sponsored our Children's Privacy Law 25 years ago, to get legislation. But I think we have to look outside of the United States, as Kathryn said. Beyond the law in the United Kingdom. In the European Union there are rules governing digital platforms called the Digital Services Act. There's a new European Union-wide policy safeguards on Generative AI. Brazil has something similar. There are design codes like the UK design code for young people. What we need to do is to put together a package of strategies at the federal and perhaps even state level. And there's been some activity at the state level. You know, the industry has been opposed to that and gone to court to fight any rules protecting young people online. But create a kind of a cutting-edge set of practices that then could be implemented here in the United States as part of a campaign. But there are models. And how do the political parties break down on this, these issues? Kathryn - I was going to say they break down. Jeff - The industry is so powerful still. You have bipartisan support for regulating social media when it comes to young people because there have been so many incidences of suicide and stalking and other kinds of emotional and psychological harms to young people. You have a lot of Republicans who have joined with Democrats and Congress wanting to pass legislation. And there's some bipartisan support to expand the privacy rules and even to regulate online advertising for teens in our Congress. But it's been stymied in part because the industry has such an effective lobbying operation. And I have to say that in the United States, the community of advocates and their supporters who would want to see such legislation are marginalized. They're under underfunded. They're not organized. They don't have the research. It's a problem. Now all these things can be addressed, and we should try to address them. But right now it's unlikely anything will pass in the next few months certainly. Kathryn - Can I just add something? Because I think what's important now in this really difficult period is to begin building a broader set of stakeholders in a coalition. And as I said, I think it does need to be global. But I want to talk about also on the research front, there's been a lot of really important research on digital food marketing. On marketing among healthy foods and beverages to young people, in a number of different countries. In the UK, in Australia, and other places around the world. And these scholars have been working together and a lot of them are working with scholars here in the US where we've seen an increase in that kind of research. And then advocates need to work together as well to build a movement. It could be a resurgence that begins outside of our country but comes back in at the appropriate time when we're able to garner the kind of support from our policymakers that we need to make something happen. That makes good sense, especially a global approach when it's hard to get things done here. Jeff, you alluded to the fact that you've done work specifically on ultra processed foods. Tell us what you're up to on that front. Jeff - As part of our industry analysis we have been tracking what all the leading food and beverage companies are doing in terms of what they would call their digital transformation. I mean, Coca-Cola and Pepsi on Mondelez and Hershey and all the leading transnational processed food companies are really now at the end of an intense period of restructuring to take advantage of the capabilities provided by digital data and analytics for the further data collection, machine learning, and Generative AI. And they are much more powerful, much more effective, much more adept. In addition, the industry structure has changed in the last few years also because of digital data that new collaborations have been created between the platforms, let's say like Facebook and YouTube, the food advertisers, their marketing agencies, which are now also data companies, but most notably the retailers and the grocery stores and the supermarkets. They're all working together to share data to collaborate on marketing and advertising strategies. So as part of our work we've kept abreast of all these things and we're tracking them. And now we are sharing them with a group of advocates outside of the United States supported by the Bloomberg Philanthropies to support their efforts. And they've already made tremendous progress in a lot of areas around healthy eating in countries like Mexico and Argentina and Brazil, et cetera. And I'm assuming all these technological advances and the marketing muscle, the companies have is not being used to market broccoli and carrots and Brussels sprouts. Is that right? Jeff - The large companies are aware of changing attitudes and the need for healthy foods. One quick takeaway I have is this. That because the large ultra processed food companies understand that there are political pressures promoting healthier eating in North America and in Europe. They are focused on expanding their unhealthy eating portfolio, in new regions specifically Asia Pacific, Africa, and Latin America. And China is a big market for all this. This is why it has to be a global approach here, Kelly. First place, these are transnational corporations. They are creating the, our marketing strategies at the global level and then transmitting them down to be tailored at the national or regional level. They're coming up with a single set of strategies that will affect every country and every child in those countries. We need to keep track of that and figure out ways to go after that. And there are global tools we might be able to use to try to protect young people. Because if you could protect young, a young person in China, you might also be able to protect them here in North Carolina. This all sounds potentially pretty scary, but is there reason to be optimistic? Let's see if we can end on a positive note. What do you think. Do you have reason to be optimistic? Kathryn - I've always been an optimist. I've always tried to be an optimist, and again, what I would say is if we look at this globally and if we identify partners and allies all around the world who are doing good work, and there are many, many, many of them. And if we work together and continue to develop strategies for holding this powerful industry and these powerful industries accountable. I think we will have success. And I think we should also shine the spotlight on areas where important work has already taken place. Where laws have been enacted. Where companies have been made to change their practices and highlight those and build on those successes from around the world. Thanks. Jeff, what about you? Is there reason to be optimistic? Well, I don't think we can stop trying, although we're at a particularly difficult moment here in our country and worldwide. Because unless we try to intervene the largest corporations, who are working and will work closely with our government and other government, will be able to impact our lives in so many ways through their ability to collect data. And to use that data to target us and to change our behaviors. You can change our health behaviors. You can try to change our political behaviors. What the ultra-processed food companies are now able to do every company is able to do and governments are able to do. We have to expose what they're doing, and we have to challenge what they're doing so we can try to leave our kids a better world. It makes sense. Do you see that the general public is more aware of these issues and is there reason to be optimistic on that front? That awareness might lead to pressure on politicians to change things? Jeff - You know, under the Biden administration, the Federal Trade Commission identified how digital advertising and marketing works and it made it popular among many, many more people than previously. And that's called commercial surveillance advertising. The idea that data is collected about you is used to advertise and market to you. And today there are thousands of people and certainly many more advocacy groups concerned about commercial surveillance advertising than there were prior to 2020. And all over the world, as Kathryn said, in countries like in Brazil and South Africa and Mexico, advocates are calling attention to all these techniques and practices. More and more people are being aware and then, you know, we need obviously leaders like you, Kelly, who can reach out to other scholars and get us together working together in some kind of larger collaborative to ensure that these techniques and capabilities are exposed to the public and we hold them accountable. Bios Kathryn Montgomery, PhD. is Research Director and Senior Strategist for the Center for Digital Democracy (CDD). In the early 90s, she and Jeff Chester co-founded the Center for Media Education (CME), where she served as President until 2003, and which was the predecessor organization to CDD. CME spearheaded the national campaign that led to passage of the 1998 Children's Online Privacy Protection Act (COPPA) the first federal legislation to protect children's privacy on the Internet. From 2003 until 2018, Dr. Montgomery was Professor of Communication at American University in Washington, D.C., where she founded and directed the 3-year interdisciplinary PhD program in Communication. She has served as a consultant to CDD for a number of years and joined the full-time staff in July 2018. Throughout her career, Dr. Montgomery has written and published extensively about the role of media in society, addressing a variety of topics, including: the politics of entertainment television; youth engagement with digital media; and contemporary advertising and marketing practices. Montgomery's research, writing, and testimony have helped frame the national public policy debate on a range of critical media issues. In addition to numerous journal articles, chapters, and reports, she is author of two books: Target: Prime Time – Advocacy Groups and the Struggle over Entertainment Television (Oxford University Press, 1989); and Generation Digital: Politics, Commerce, and Childhood in the Age of the Internet (MIT Press, 2007). Montgomery's current research focuses on the major technology, economic, and policy trends shaping the future of digital media in the Big Data era. She earned her doctorate in Film and Television from the University of California, Los Angeles. Jeff Chester is Executive Director of the Center for Digital Democracy (CDD), a Washington, DC non-profit organization. CDD is one of the leading U.S. NGOs advocating for citizens, consumers and other stakeholders on digital privacy and consumer protections online. Founded in 1991, CDD (then known as the Center for Media Education) led the campaign for the enactment of the Children's Online Privacy Protection Act (COPPA, 1998). During the 1990s it also played a prominent role in such issues as open access/network neutrality, diversity of media ownership, public interest policies for children and television, as well the development of the FCC's “E-Rate” funding to ensure that schools and libraries had the resources to offer Internet services. Since 2003, CDD has been spearheading initiatives designed to ensure that digital media in the broadband era fulfill their democratic potential. A former investigative reporter, filmmaker and Jungian-oriented psychotherapist, Jeff Chester received his M.S.W. in Community Mental Health from U.C. Berkeley. He is the author of Digital Destiny: New Media and the Future of Democracy (The New Press, 2007), as well as articles in both the scholarly and popular press. During the 1980s, Jeff co-directed the campaign that led to the Congressional creation of the Independent Television Service (ITVS) for public TV. He also co-founded the National Campaign for Freedom of Expression, the artist advocacy group that supported federal funding for artists. In 1996, Newsweek magazine named Jeff Chester one of the Internet's fifty most influential people. He was named a Stern Foundation “Public Interest Pioneer” in 2001, and a “Domestic Privacy Champion” by the Electronic Privacy Information Center in 2011. CDD is a member of the Transatlantic Consumer Dialogue (TACD). Until January 2019, Jeff was the U.S. co-chair of TACD's Information Society (Infosoc) group, helping direct the organization's Transatlantic work on data protection, privacy and digital rights.

Ron Bienvenu's - The 5th Shock The Global Consequences of Big Data (Part 1) The Black Spy Podcast, Season 20, Episode 0003 In this week's Black Spy Podcast Carlton brings back Ron Bienvenu to discuss his new book The 5th Shock in which Ron postulates the effects of AI, LLMs, and Robotics: and other emerging trends and impacts Integration of LLMs in Robotics: Large Language Models are increasingly being integrated into robotic systems, enabling more intuitive human-robot interactions, for instance, projects like Open VLA demonstrate how combining vision-language-action models with robotics can enhance adaptability and performance in complex tasks. Commercialization and Economic Impact: The commercialization of AI and robotics is accelerating, with applications spanning healthcare, manufacturing, and logistics companies like Amazon are investing in AI-driven robotics to optimize warehouse operations, reflecting a broader trend towards automation in various industries. Ethical and Societal Considerations: As AI systems become more integrated into daily life, ethical considerations around data privacy, job displacement, and decision-making autonomy are gaining prominence.Ensuring responsible development and deployment of these technologies is crucial to mitigate potential societal risks. In these two fascinating episodes all of the above points are considered and debated in detail. Hence, once again, if you want to know how the world around you functions and understand the power of those who pull the strings in our system, then this is a Black Spy Podcast that you should definitely not miss. Remember, if you want to continue learning whilst being entertained, and not miss an episode of the Black Spy Podcast, then please don't forget to subscribe for free. To contact Firgas Esack of the DAPS Agency go to Linked In To contact Carlton King by utilising any of the following: To donate - Patreon.com/TheBlackSpyPodcast Email: carltonking2003@gmail.com Facebook: The Black Spy Podcast Facebook: Carlton King Author Twitter@Carlton_King Instagram@carltonkingauthor To read Carlton's Autobiography: “Black Ops – The incredible true story of a (Black) British secret agent” Click the link below: https://www.amazon.co.uk/dp/BO1MTV2GDF/ref=cm_sw_r_cp_awdb_WNZ5MT89T9C14CB53651 Carlton is available for speaking events. For this purpose use the contact details above. https://amzn.eu/d/fmzzq9h  

Why would someone want a 3D digital twin? This week Technology Now dives into the topic of digital twins, what they are and why they're used. What are the challenges faced when trying to build and use a SD digital twin, and what are the benefits these twins bring to companies which use them? Sebastian Schwarz, General Manager at NetAllied, tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Aubrey Lovell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what can be learnt from it.Sources:Today I Learned:James Fong et al., Novel color via stimulation of individual photoreceptors at population scale.Sci. Adv.11,eadu1052(2025).DOI:10.1126/sciadv.adu1052 https://www.cis.rit.edu/people/faculty/montag/vandplite/pages/chap_9/ch9p1.html#:~:text=Rods%20are%20responsible%20for%20vision,responsible%20for%20high%20spatial%20acuity.This Week In History:https://www.postalmuseum.org/collections/highlights/the-first-ever-stamp-the-penny-black/ https://www.bbc.co.uk/news/business-48844278

Why would someone want a 3D digital twin? This week Technology Now dives into the topic of digital twins, what they are and why they're used. What are the challenges faced when trying to build and use a SD digital twin, and what are the benefits these twins bring to companies which use them? Sebastian Schwarz, General Manager at NetAllied, tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Aubrey Lovell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what can be learnt from it.Sources:Today I Learned:James Fong et al., Novel color via stimulation of individual photoreceptors at population scale.Sci. Adv.11,eadu1052(2025).DOI:10.1126/sciadv.adu1052 https://www.cis.rit.edu/people/faculty/montag/vandplite/pages/chap_9/ch9p1.html#:~:text=Rods%20are%20responsible%20for%20vision,responsible%20for%20high%20spatial%20acuity.This Week In History:https://www.postalmuseum.org/collections/highlights/the-first-ever-stamp-the-penny-black/ https://www.bbc.co.uk/news/business-48844278

Why would someone want a 3D digital twin? This week Technology Now dives into the topic of digital twins, what they are and why they're used. What are the challenges faced when trying to build and use a SD digital twin, and what are the benefits these twins bring to companies which use them? Sebastian Schwarz, General Manager at NetAllied, tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Aubrey Lovell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what can be learnt from it.Sources:Today I Learned:James Fong et al., Novel color via stimulation of individual photoreceptors at population scale.Sci. Adv.11,eadu1052(2025).DOI:10.1126/sciadv.adu1052 https://www.cis.rit.edu/people/faculty/montag/vandplite/pages/chap_9/ch9p1.html#:~:text=Rods%20are%20responsible%20for%20vision,responsible%20for%20high%20spatial%20acuity.This Week In History:https://www.postalmuseum.org/collections/highlights/the-first-ever-stamp-the-penny-black/ https://www.bbc.co.uk/news/business-48844278

On this episode of the Scouting For Growth podcast, Sabine VdL talks to Alon Kaufman, CEO and Co-Founder of Duality Technologies, a company that is revolutionising the way organisations collaborate on data while preserving privacy and security. During today’s conversation, we’ll explore the vision behind Duality Technologies, the real-world problems it is solving, and how organisations can future-proof themselves against risks by adopting privacy-preserving technologies. We’ll also dive into Alon’s inspiring journey as a technology leader and his perspective on the ethical and strategic aspects of data collaboration in the age of AI and Big Data. KEY TAKEAWAYS Combining and enhancing data sets is becoming more and more challenging in a world where privacy, security, regulations and data protection are becoming more critical. This is a good thing. What inspires us at Duality is to find a way to allow organisations to unlock the challenges around working together on data in a way that both protects the data and allows you to get the utility out of it. At the source of Duality is: How can we work on data sets without leaking or sharing the data. That’s where homomorphic encryption comes in. This allows us to work on and analyse data while it remains protected or encrypted. Two companies each have a list of customers and they both want to understand how many customers they have in intersection. The way you did this before is for company A to disclose it’s list of customers to company B which does the analysis and fins the intersection or go to a trusted third party. With duality, the two companies can use our software platform to run a computation that comes up with the intersection without either company seeing each other’s data. We all want our governments and law enforcement to be able to do their work, but we don’t want them to pull in every data point that we leave outside. Duality allows law enforcement investigations to run queries and analytics only on data that is allowed and only giving the insights that are needed. Government and healthcare – where data sets are large an sensitive – are big places where Duality has been successful. BEST MOMENTS ‘In order to get the most value out of data, the more you can bring data sets together and enhance them the better off you are.’ ‘Duality’s mission is to run AI data science analytics on data sets that cannot simply be centralised, and doing it where ethe data is while making sure the data isn’t exposed, privacy isn’t leaked or challenges of data localisation and regulation are not violated.’ ‘Companies that already know to work on their own data, and control it, can now go to the next step and do it in a collaborative way.’ ‘Insurance companies need to work together around fraud because the fraudsters utilise the fact different companies don’t talk and will attack one and then the other because they know the level of data shared between them is limited.’ ABOUT THE GUEST Alon Kaufman is the CEO and Co-Founder of Duality Technologies, a pioneering company at the forefront of data encryption and privacy technologies. With over 20 years of experience in technology leadership, Alon has a rich background that spans across Big Data, Data Science, Machine Learning, and Cybersecurity. As a thought leader, Alon frequently speaks on topics related to Big Data, Cybersecurity, and Innovation. He is committed to advancing the conversation around data privacy and security. LinkedIn ABOUT THE HOST Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, & commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner. Twitter LinkedIn Instagram Facebook TikTok Email Website

Richard Flynn of Charles Schwab U.K. joins Morning Movers to discuss the company's launch of thematic investing products for its clients. Specifically, these themes focus on U.S. listed stocks within 45 groups like Electric Vehicles, Big Data and Renewable Energy. Richard says interest for these themes is rooted in the desire for diversification and says the benefit of investing in the U.S. is giving clients another choice.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Peggy Smedley and Brian Cury, CEO and founder, EarthCam, talk about jobsite innovations, narrowing in on how technology such as AI (artificial intelligence) can help improve construction safety. He says it used to be all about making beautiful photos, but now it is about the information in the photos. They also discuss: The history of construction cameras and the rise of AI in the last decade. How camera technology can help improve safety procedures on the jobsite. How EarthCam developed the AI technology itself—and the importance of the service and the software. earthcam.net/software earthcam.net/security (5/6/25 - 919) What You Might Have Missed:  Construction Worker of the Future Construction Haves and Have-Nots The Language of Construction IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, 5G, cloud, sustainability, future of work, podcast, Brian Cury, EarthCam, safety This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.  

Peggy Smedley and Yung Shin, Donald A. and Nancy G. Roach distinguished professor of advanced manufacturing, Purdue University, talk about additive manufacturing and why it has been getting so much global attention. He describes additive manufacturing, explaining how it works and how it can form 3D parts and 3D objects. They also discuss: Why it is getting so much hype today. The applications that are coming out of additive manufacturing. How this is impacting education. engineering.purdue.edu/ManLab  (5/6/25 - 919) What You Might Have Missed:  The Future of Manufacturing Is Smart All about Additive Manufacturing IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, 5G, cloud, sustainability, future of work, podcast, Yung Shin, Purdue University, safety This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy Smedley talks about Construction Safety Week and National Safety Stand-Down to Prevent Falls Week, sharing the objectives for these initiatives. She explains where this culture of safety must start, highlighting the importance of everyone being involved to ensure greater safety. She also: Shares the startling statistics about how many construction workers die on the job. Gives her own toolbox talk, giving some examples of how technology can help improve safety. Digs into one specific case study that demonstrates how a company is taking action to protect workers using artificial intelligence. peggysmedleyshow.com  (5/6/25 - 919) What You Might Have Missed:  Safety: One-Stop Shop Gen AI in Construction and Infrastructure A Safety-First Culture IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, 5G, cloud, sustainability, future of work, podcast, safety This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Sempre più il dibattito intorno all'intelligenza artificiale si polarizza tra entusiasti e pessimisti, adepti e catastrofisti; un dibattito in cui intervengono fisici, matematici, informatici, ma anche sociologi e filosofi. La rivoluzione innescata dalle nuove tecnologie ha un impatto sull'organizzazione del lavoro e sulla democrazia ma investe anche una facoltà propriamente umana: il pensiero. L'ideologia dei BigData sta riducendo la vita collettiva e individuale a un flusso continuo di numeri e dati che dovrebbero dare conto del reale. Ma affidarsi alle megamacchine che cosa implica per la nostra libertà cognitiva? Quello che viene definito il capitalismo di piattaforma e della sorveglianza è una prospettiva inevitabile, o si può modificare il corso del progresso tecnologico? A che cosa stiamo rinunciando quando ci affidiamo all'efficienza dell'intelligenza artificiale? Sono interrogativi che abbiamo posto a un sociologo che da anni si occupa di tecnologia e di capitalismo e dei loro impatti su società e individuo, a una giurista esperta di tecnologia, diritti umani e democrazia, a un ricercatore di filosofia che riflette sul potere degli algoritmi nell'attuale società del controllo partendo dal pensiero di Michel Foucault.

As more companies begin to adopt AI into their workforce and day-to-day processes, it will be interesting to watch how their learning curve  is spread across knowledge workers. SHOW: 920SHOW TRANSCRIPT: The Cloudcast #920 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:Cut Enterprise IT Support Costs by 30-50% with US CloudSHOW NOTES:AI Horseless Carriages (AI user-experiences)HOW WILL WE VIEW AN AI AGENT IN THE CONTEXT OF HUMANS OR “USERS”The low-hanging fruit, simple on-ramp is the key to early AI adoption Google and Microsoft are already showing revenue increases, likely through the productivity apps bundlingExpect prices to increase slowly, but frequently as adoption happens and companies get used to the knowledge worker productivity increases (or expectations)Curious how knowledge workers are adopting, sharing, increasing their learning curveSharing still seems to be lacking within the AI tools. Not just sharing of an individual task, but sharing of learning curves, best practices, datasetsIs there a dataset collection opportunity? This feels like Big Data or Data Lake 5.0. FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Send us a textWelcome to IoT Coffee Talk #239 where we have a chat about all things #IoT over a cup of coffee or two with some of the industry's leading business minds, thought leaders and technologists in a totally unscripted, organic format. Thanks for joining us. Sit back with a cup of Joe and enjoy the morning banter.This week, Olivier, Debbie, Rob, Pete, Bill, and Leonard jump on Web3 to talk about:BAD KARAOKE! "The Needle Lies", QueensrycheRob knows Geoff Tate!Debbie's Data Diva podcast hits 500,000 downloads!!Olivier gives his take on IoT. What is it and does it need a name?Why is it so easy to say "solution" but difficult to mean "solution"?The big GenAIoT issue - latencyThe need for specialized AI for the specialness of edge use casesAutonomous is not around the corner. Sorry!Techno digestion issues and enterprise tech barfingWhat happened to BIG DATA!!?!?!?!The influence of privacy and pricing on on-premises big dataThe fabric trend in ludicrous data lakes and housesCloud has been eating open source's lunchRegulation is the 900lb constraint in the roomZero Trust IoT - what is it?It's a great episode. Grab an extraordinarily expensive latte at your local coffee shop and check out the whole thing. You will get all you need to survive another week in the world of IoT and greater tech!Thanks for listening to us! Watch episodes at http://iotcoffeetalk.com/. We support Elevate Our Kids to bridge the digital divide by bringing K-12 computing devices and connectivity to support kids' education in under-resourced communities. Please donate.

In Episode 474 of 'Relentless Health Value', host Stacey Richter interviews Dr. Yashaswini Singh, an economist and assistant professor at Brown University, about the growing influence of private equity (PE) in healthcare.  The conversation delves into the corporate transformation of medicine, highlighting the potential misalignment between business interests and patient care. Dr. Singh discusses the diverse strategies PE firms use to drive profitability, such as increasing negotiated prices, consolidating market share, employing real estate leasebacks, and emphasizing performance metrics that may not align with patient benefits.  The episode also examines the significant impacts these strategies have on physicians, including increased turnover and changes in practice patterns, as well as the broader implications for patients and communities. Dr. Singh stresses the importance of informed leadership, education, policy enforcement, and transparency to ensure that private investments ultimately benefit healthcare systems without compromising patient care. === LINKS ===

Peggy Smedley and Mehri Mohebbi, program director, Transportation Equity Program, University of Florida Transportation Institute, discuss distracted driving risk from an equity perspective, sharing which populations are at the most risk for injuries. She says generally the numbers at the federal level hid the sharp local spike, and in low-income corridors, phone-related crashes cluster 40% above the metro average. They also discuss: Two specific examples of roadway design and how it can help us. The importance of training programs/exercises and audits. Key lessons learned and going to the next level. transportation.institute.ufl.edu  (4/29/25 - 918) What You Might Have Missed:  Breaking Bad Driving Habits Distracted Driving: The New Epidemic A Discussion about Distracted Driving IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Mehri Mohebbi, University of Florida Transportation Institute This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy Smedley and Julia Kite-Laidlaw, senior program manager, Road To Zero, National Safety Council, talk about how prevalent distracted driving is today. She says new data out reports that 3,275 people died in distraction-related crashes in 2023, which is 8% of all road deaths in the United States, and if you do the math it comes to about nine people per day.  They also discuss: Who is really responsible for safety in cars. Regulations and the impact they have on distracted driving. How Minnesota is using AI to address distracted driving. nsc.org  (4/29/25 - 918) What You Might Have Missed:  Stay Engaged on the Road Distracted Driving Syndrome Driving Awareness IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Julia Kite-Laidlaw, National Safety Council This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy talks about how technology can help with distracted driving, sharing some examples. She talks about the opportunities to improve our behavior in the car, all with the help of new technologies. She also discusses: How many drivers report being distracted by their personal mobile devices. Three technologies that can help. Her thoughts on what needs to happen next to reduce the number of deaths on the road. peggysmedleyshow.com  (4/29/25 - 918) What You Might Have Missed:  Autonomous Vehicles and Distracted Driving Road Safety for the Future Driving Insights IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Kelly connects with Columbia Business School professor Sandra Matz to discuss her new book “Mindmasters: The Data-Driven Science of Predicting and Changing Human Behavior.” “We are fighting for attention. We want to be seen.”  “Behavioral residues are the by-product of our lives.”  “Each of us comes in many different versions.” 

How do you turn millions of noisy farm records into clear, actionable insights that drive real-world change? In this week's episode, we go behind the scenes of our recent Big Data study with Veramaris, unpacking how Manolin's advanced techniques—like traced populations and inverse probability weighted regression—are redefining how aquaculture can learn directly from farm operations. Beyond the findings on EPA and DHA feed levels, we explore why better data science is becoming the new competitive edge for salmon farms worldwide.Download the EPA+DHA Study Whitepaper.For more aquaculture insights head to our Fish n' Bits blog.

Unser heutiger Gast hat nach dem Abitur Psychologie und Betriebswirtschaft studiert – zuerst an der eufom Business School, später an der FernUni Schweiz, wo sie ihren Master in Psychologie abschloss. Ihre anfängliche Begeisterung für Statistik und Data Science führte sie in ein junges KI-Unternehmen, das sich mit Machine Learning in der Luftfahrt beschäftigte. Dabei entdeckte sie das Themenfeld Predictive Maintenance: die Möglichkeit, Maschinenausfälle durch frühzeitige Prognosen zu verhindern. Aus dieser Faszination heraus entstand ihr eigenes Start-up, das bereits kurz nach seiner Gründung inmitten der Corona-Zeit die ersten Kunden gewinnen konnte. Heute führt sie als CEO ein interdisziplinäres Team, das einen digitalen Wartungsassistenten entwickelt hat: Dieser erkennt Anomalien in Maschinen, bevor teure Stillstände auftreten. Engagiert ist sie zudem als Landessprecherin im Startup-Verband, als Plenumsmitglied der Handelskammer Hamburg und als Botschafterin für junge Talente bei proTechnicale. Ihr Antrieb: KI nicht nur als Technologie, sondern als Chance begreifen, Arbeitsprozesse klüger und menschlicher zu gestalten – weil sie fest daran glaubt, dass die Psychologie hinter Big Data und Algorithmen eine entscheidende Rolle spielt. Seit fast acht Jahren beschäftigen wir uns in diesem Podcast mit der Frage, wie Arbeit den Menschen stärkt, statt ihn zu schwächen. In über 480 Gesprächen haben wir mit fast 600 Persönlichkeiten darüber gesprochen, was sich für sie geändert hat und was sich weiter ändern muss. Wie gelingt es, ein KI-Produkt zu entwickeln, das nicht nur die Technik, sondern auch die menschlichen Faktoren in der Industrie berücksichtigt? Welche Rolle spielt Psychologie, wenn es darum geht, in vermeintlichen „Männerbranchen“ das eigene Unternehmen zu gründen und zu führen? Und wie kann KI tatsächlich „New Work“ befördern, indem sie Routinearbeit abnimmt und Raum für menschliche Kreativität schafft? Fest steht: „New Work“ wird heute oft verzwergt – viele denken dabei an bunte Sitzsäcke, flache Hierarchien und Obstkörbe. Ursprünglich jedoch wurde der New-Work-Gedanke in einer Krise geboren, als neuer Weg zwischen Kapitalismus und Sozialismus, um den Menschen Raum zur Entfaltung zu geben und die Chancen neuer Technologien für echte Problemlösungen zu nutzen. Genau deshalb suchen wir weiter nach Methoden, Vorbildern, Erfahrungen, Tools und Ideen, die uns dem Kern von New Work näher bringen. Darüber hinaus beschäftigt uns von Anfang an die Frage, ob wirklich alle Menschen das finden und leben können, was sie im Innersten wirklich, wirklich wollen. Ihr seid bei „On the Way to New Work“ – heute mit Lena Weirauch. [Hier](https://linktr.ee/onthewaytonewwork) findet ihr alle Links zum Podcast und unseren aktuellen Werbepartnern

David Booth, the founder and Chairman of Dimensional Funds, on how he and a group of future Nobel Prize winners came together at the University of Chicago in the late 1960's and 70's and revolutionized the investing world by applying data, for the first time, to quantify the real performance of the stock market, and to shine a glaring spotlight on the way Wall Street used to work. In the process, they created Dimensional Funds - one of the most successful investing firms in history. LINKS: https://www.dimensional.com/us-en/who-we-are/about-us https://www.youtube.com/watch?v=T98825bzcKw Learn more about your ad choices. Visit podcastchoices.com/adchoices

Peggy talks about what the insurance companies and other organizations have to say about the impact of distracted driving on auto insurance. She says it is not very consistent across the board, with different states taking different actions and different insurance companies having different tools and resources available. She also discusses: The total estimated cost of all motor vehicle crashes in the United States—and how much distracted driving accounts for. The rules surrounding texting and driving from state to state, with a closer look at one state as an example. What the insurance companies are saying and doing about distracted driving—and how technology comes into play. peggysmedleyshow.com  (4/22/25 - 917) What You Might Have Missed:  Distracted Driving: 1960s to Present Day Dangerous Distractions on the Road A Decade of Distracted Driving IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy Smedley and Dan McGehee, professor of engineering, medicine, public health and director of the Driving Safety Research Institute, University of Iowa, talk about distracted driving research. He says it is an important thing more than ever. They also discuss: The history of distracted driving in vehicles. The physiological changes that happen with smartphones. The most dangerous type of distraction and who is ultimately responsible. dsri.uiowa.edu  (4/22/25 - 917) What You Might Have Missed:  The Reality of Distracted Driving in 2025 Reducing Distraction The State of Distracted Driving IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Dan McGehee, Driving Safety Research Institute, University of Iowa This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.    

Peggy Smedley and Paul Atchley, professor, Dept. of Psychology, University of South Florida, talk about some of the latest news on traffic statistics and the role distracted driving is playing in these numbers. He says the statistics change year over year, but the trends have not been positive. They also discuss: Why people continue to engage in these behaviors even though they will tell you these behaviors are very risky. Distracted driving trends by region during the pandemic and what happens after fatal accidents occur. Examples of safety records of companies that prohibit drivers from using their phones while driving—and what actually happens to productivity when bans go in place. usf.edu/arts-sciences/departments/psychology  (4/22/25 - 917) What You Might Have Missed:  The Science behind Distracted Driving Four Pillars for Distracted Driving Are You a Super Tasker? IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Paul Atchley, University of South Florida This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

We live in a world oversaturated with content, standing out doesn't always mean saying more—it means saying it better. Whether you’re a content creator, educator, business communicator, or accessibility advocate, converting text into dynamic, human-like speech can amplify your impact across various platforms and audiences. Listen to this article: This audio was generated using Speechify …

How intertwined are AI and sustainability? This week, Technology now explores how we can do more than just use AI in a more sustainable and ethical way, we can harness it as a powerful tool to contribute to sustainability in other industries too. We ask which challenges are facing AI when it comes to sustainability and how can companies build strategies that support more efficient IT. Monica Batchelder, Chief Sustainability Officer at HPE, tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Aubrey Lovell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what can be learnt from it.Monica Batchelder: https://www.linkedin.com/in/monicabatchelder/ Sources cited in this week's episodeRaw materials for a computer: https://unctad.org/system/files/official-document/der2024_en.pdfAI water consumption: https://www.unep.org/news-and-stories/story/ai-has-environmental-problem-heres-what-world-can-do-about | https://arxiv.org/pdf/2304.03271Today I Learned:Swedish Study: Bignardi, G., Wesseldijk, L.W., Mas-Herrero, E. et al. Twin modelling reveals partly distinct genetic pathways to music enjoyment. Nat Commun16, 2904 (2025). https://doi.org/10.1038/s41467-025-58123-8Norwegian Study: Jacoby, N. et al. Cross-cultural work in music cognition challenges, insights, and recommendations. Music Percept. 37, 185–195 (2020). This Week In History:Event Horizon Telescope Collaboration, 2019. First M87 event horizon telescope results. I. The shadow of the supermassive black hole. arXiv preprint arXiv:1906.11238.https://www.bbc.co.uk/news/science-environment-47873592https://www.amnh.org/exhibitions/horse/the-evolution-of-horses

How intertwined are AI and sustainability? This week, Technology now explores how we can do more than just use AI in a more sustainable and ethical way, we can harness it as a powerful tool to contribute to sustainability in other industries too. We ask which challenges are facing AI when it comes to sustainability and how can companies build strategies that support more efficient IT. Monica Batchelder, Chief Sustainability Officer at HPE, tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Aubrey Lovell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what can be learnt from it.Monica Batchelder: https://www.linkedin.com/in/monicabatchelder/ Sources cited in this week's episodeRaw materials for a computer: https://unctad.org/system/files/official-document/der2024_en.pdfAI water consumption: https://www.unep.org/news-and-stories/story/ai-has-environmental-problem-heres-what-world-can-do-about | https://arxiv.org/pdf/2304.03271Today I Learned:Swedish Study: Bignardi, G., Wesseldijk, L.W., Mas-Herrero, E. et al. Twin modelling reveals partly distinct genetic pathways to music enjoyment. Nat Commun16, 2904 (2025). https://doi.org/10.1038/s41467-025-58123-8Norwegian Study: Jacoby, N. et al. Cross-cultural work in music cognition challenges, insights, and recommendations. Music Percept. 37, 185–195 (2020). This Week In History:Event Horizon Telescope Collaboration, 2019. First M87 event horizon telescope results. I. The shadow of the supermassive black hole. arXiv preprint arXiv:1906.11238.https://www.bbc.co.uk/news/science-environment-47873592https://www.amnh.org/exhibitions/horse/the-evolution-of-horses

To be ruled is to be spied upon and inspected, quantified, measured, and ranked, and then registered and regulated with all the inherent structural violence packed into those arrangements. To be free is to abolish all of it, to reject that system's hold over our minds as well as to defeat its power in the world. What kind of society do we want to live in? What world will we build? Today we're joined in conversation with Anita Say Chan, a feminist, decolonial scholar, and author of Predatory Data: Eugenics in Big Tech and our Fight for an Independent Future, as we think about techno-surveillance, algorithmic discrimination, the noisy echoes of the anti-immigration and eugenics movements of the 19th century all around us, as well as alternative data practices and projects developed by minorities actors in pursuit of justice.

Are the algorithms that exist in our daily lives getting so smart that they know us better than our parents or our spouses? How do we balance the convenience and efficiency of this technology with privacy and consumer protections? Sandra Matz is a professor at Columbia Business School and the director of the Center for Advanced Technology and Human Performance. Her book, Mindmasters: The Data-Driven Science of Predicting and Changing Human Behavior examines the link between algorithms and psychology. Sandra and Greg chat about the bright and dark sides of psychological targeting, its applications in marketing, politics, and mental health, as well as the ethical considerations and future implications of using algorithms for personalized interactions.*unSILOed Podcast is produced by University FM.*Episode Quotes:Even the smartest algorithms slip up24:01: When we talk about these algorithms, and I'm guilty of that myself, it always seems like, well, yeah, if they can predict your personality with high accuracy, that makes sense, but it still makes mistakes, right? So, accuracy is always captured at the average level. So, on average, we kind of get it right most of the time. But that still means that, at the individual level, we make a lot of mistakes. And those mistakes can be costly for the individual, right? 'Cause now you are seeing stuff that is completely irrelevant. Also costly for companies, 'cause now you are optimizing for something that's not actually true. So, I think if you can really think about application—I think the more you can turn this into a two-way street and conversation, the same way that this works in an offline world, right? If you kind of suddenly start talking to me about topics that I care nothing about, you're going to get that feedback, 'cause either I'm not going to see you again, or I just tell you we just talk about something else. And companies oftentimes don't get that because they don't allow users to interact with some of the predictions that they make. And I think it's a mistake, not just from an ethical point of view, but even from a kind of service, convenience, product point of view.Are algorithms making us boring?11:09: There's something nice about having these algorithms understand what we want, but I also do think that there's the risk of us just becoming really boring.The trouble with signing away our data49:29: The way that we typically sign away data is, we consent, but not because we understand it. And I think some of it is just that technology moves so fast that just keeping up with technology is almost impossible. So I think about this 24/7, and I have a hard time, and you also have to have this understanding of — not just in the here and now — like, a fully rational person would say, "Here's all the benefits, and here's all the downsides." And now I kind of make this rational decision that kind of maximizes utility. But we don't understand the downsides.Show Links:Recommended Resources:Big Five personality traitsCambridge AnalyticaGuest Profile:Faculty Profile at Columbia Business SchoolProfessional WebsiteProfessional Profile on LinkedInCenter for Advanced Technology and Human PerformanceHer Work:Mindmasters: The Data-Driven Science of Predicting and Changing Human Behavior

It's a common refrain: AI is neither good nor bad because that depends on how its used. Professor Anita Say Chan begs to differ. Chan is the author of Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future (U California Press, 2025). Chan is Associate Professor in the School of Information Sciences and Department of Media and Cinema Studies at the University of Illinois at Urbana-Champaign, as well as the author of a prior book Networking Peripheries on tech movements among craftwork communities in Peru. In her current book, Chan documents how the Big Data on which AI are trained are based on long-standing data infrastructures—sets of practices, policies, and logics—that remove, imperil, devalue, and actively harm people who refuse to conform to racialized patriarchal power structures and the priorities of surveillance capitalism—most pointedly immigrant, feminist, and low-income communities. Centered mostly in the United States as well as Latin America, Predatory Data shows how the eugenicist data practices of the past now shape our present. But her approach is fundamentally a politics of pluralism. Chan dedicates half of the book to amplifying and praising the small-scale, community-led projects of the past and present—from the legendary Hull House's data visualizations to community data initiatives in Champaign, Illinois. There is much fuel for political outrage in this book and also fodder for solidarity and hope. This interview was a collaborative effort among Professor Laura Stark and students at Vanderbilt University in the course, “The Politics of AI.” Please email Laura with any feedback on the interview or questions about how to design collaborative interview projects for the classroom. email: laura.stark@vanderbilt.edu . Student collaborators on this interview were Emma Bufkin, Keyonté Doughty, Natalie Dumm, Karim Elmehdawi, Lauren Garza, Eden Kim, Michelle Kugel, Kai Lee, Sam Mitike, Hadassah Nehikhuere, Shalini Thinakaran, Logan Walsh, and Wesley Williams. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

How can big data actually help you shoot lower scores? In this episode, Jon and Adam are joined by Fabrice Mowbray—a data scientist and golf enthusiast—to explore how the same principles used in predictive clinical modeling can be applied to golf improvement. They dig into what big data really means, why small data can be misleading, and how golfers can use their own stats to make smarter decisions. You'll learn how to spot the signal through the noise and avoid some of the most common pitfalls in stat tracking. Whether you love geeking out on numbers or just want to know what's worth tracking, this one's packed with actionable insights. Thanks to our show sponsors Rhoback, Pestie, and Maui Nui Experience the unmatched comfort and versatility of Rhoback (pronounced ROW-back) Activewear, perfect for the golf course to everyday life. From polos with the best collars in the game to incredibly soft Q-zips for early morning rounds and hoodies so comfortable you'll never want to take them off, Rhoback delivers performance without sacrificing style. Use code SWEET20 for 20% off your first purchase at rhoback.com • Tired of bugs invading your home? Pestie is a simple, DIY pest control kit customized to your location and climate—no expensive service needed. For just $35 per treatment, you get everything you need to keep your home bug-free, with a 100% money-back guarantee. It's pet and kid-friendly and even used in schools and hospitals. Sweet Spot listeners get 10% off at pestie.com/sweetspots. • Looking for a lean, high-protein snack on the course? Maui Nui meat sticks pack 10g of protein in just 55 calories, with a clean, simple flavor perfect for golf. Sourced from wild axis deer on Maui, Maui Nui is the only company offering 100% wild-harvested, stress-free meat—part of a mission to restore Hawaii's ecosystem. Trusted by names like Dr. Huberman and Tim Ferriss, their products are a go-to for health-conscious eaters. Check out sticks, fresh cuts, and more at mauinuivenison.com/golf. Learn more about your ad choices. Visit megaphone.fm/adchoices

Entrepreneurial Data-Driven Growth Strategies are no longer optional—they're essential for scaling and sustaining a successful business. In this episode, we sit down with James Childress, a seasoned CPA and growth advisor, to explore how entrepreneurs can harness data to drive profitability, efficiency, and sustainable growth.For founders, startup leaders, and small business owners looking for answers to critical business challenges, this conversation is a goldmine. James helps you understand and implement Financial Systems for Entrepreneurs that support long-term success. He explains the power of Data-Driven Business Decisions and shares actionable insights on Scaling a Business with Systems, all rooted in decades of experience.We also explore the foundational wisdom of W. Edwards Deming Business Principles, and how they still apply in today's age of Big Data, Artificial Intelligence, and real-time analytics. If you're searching for guidance on Profitability Optimization for Startups, Entrepreneurship and Financial Planning, or Strategic Forecasting for Entrepreneurs, this episode answers your questions with clarity and expertise.Whether you're studying Enterprise Growth Strategies Class 12 Entrepreneurship, developing Growth Strategies in Entrepreneurship, or working in Data Analysis as a Data Analyst, this conversation will deepen your understanding and give you tools to grow.You'll walk away knowing how to align your data systems, improve Decision Making, and embrace Data-Driven Marketing strategies—all while building a more resilient and impactful business.

For nearly a century, scientists believed we had discovered ALL of the essential fatty acids the human body needs. But what if they were wrong? Stephanie Venn-Watson, a veterinary epidemiologist and longevity researcher, joins Dave to reveal a groundbreaking discovery—a newly identified essential fatty acid, C15, that may hold the key to healthier aging and even longer lifespans. Originally uncovered in an unlikely place—U.S. Navy dolphins that were outliving their wild counterparts by decades—this forgotten fat is now shaking up the scientific community. So why hasn't anyone told you about it?? Decades of misguided dietary advice stripped this crucial nutrient from our food system, leaving an entire generation unknowingly deficient. Even worse, pregnant women have been some of the MOST hurt from this cruel change to our modern diet. Now, cutting-edge research is proving that C15 plays a critical role in cellular stability, mitochondrial function, and total mental health. What You'll Learn in This Episode: • The first new essential fatty acid discovered in nearly 100 years—and why it matters • How dolphins led to one of the BIGGEST breakthroughs in human nutrition • Why the removal of C15 from our diets is accelerating aging • The surprising connection between C15 and mental health • How this “missing” fat could outperform some of the biggest longevity drugs today! • What foods naturally contain C15—and should you supplement it? *** Get 15$ off Fatty15 at www.fatty15.com with code: DAVE *** SPONSORS Puori | Visit https://puori.com/dave and use code DAVE for 20% off.Calroy | Head to https://calroy.com/dave for an exclusive discount. Resources: • Dave Asprey's New Book - Heavily Meditated: https://daveasprey.com/heavily-meditated/ • Fatty15 Instagram – https://www.instagram.com/fatty15/ • Fatty15 Website: www.fatty15.com • 2025 Biohacking Conference: https://biohackingconference.com/2025 • Danger Coffee: https://dangercoffee.com • Dave Asprey's Website: https://daveasprey.com • Dave Asprey's Linktree: https://linktr.ee/daveasprey • Upgrade Collective – Join The Human Upgrade Podcast Live: https://www.ourupgradecollective.com • Own an Upgrade Labs: https://ownanupgradelabs.com • Upgrade Labs: https://upgradelabs.com • 40 Years of Zen – Neurofeedback Training for Advanced Cognitive Enhancement: https://40yearsofzen.com Timestamps: 00:00 – Intro 00:34 – Meet Dr. Stephanie Venn-Watson 00:46 – Discovering C15 in Navy Dolphins 01:58 – Challenges and Skepticism 04:21 – Scientific Validation and Research 06:59 – C15's Impact on Human Health 27:43 – Big Data, AI, and Longevity Research 36:08 – C15 as a Longevity Nutrient 42:14 – The Navy's Role in Fatty 15 43:03 – Epigenetic Aging and Lifespan 44:51 – Nutritional Guidelines and C15 Deficiency 50:41 – Mental Health and Endocannabinoids 51:33 – Dairy, Fats, and Nutrition History 56:38 – Fatty 15 in Skincare and Supplements 01:03:58 – Regulatory Changes in Nutrition 01:11:26 – Gender Differences in Fatty Acids See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.