Podcasts about Strategic intelligence

In this episode, Lydik Grynfeltt from HR Bridge Consulting joins us to discuss why AI fails. He looks at what companies get wrong when implementing AI and offers guidance for addressing these problems. Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/ To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themesTo find out more about HR Bridge Consulting: https://www.hrbridgeconsulting.com/To find out more about Mentat Partners: https://mentatpartners.ai/ Host: Martina Raveni (Senior Analyst, GlobalData Strategic Intelligence)Guests: Lydik Grynfeltt (Founder of Mentat Partners provided by HR Bridge Consulting)

In this episode, Tom discusses GlobalData's view of the data center construction boom and why delivery timelines are increasingly uncertain. He covers pre-construction bottlenecks, build-phase constraints, labor availability, and why power access and efficiency will shape what gets built next.Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themesHost: Martina Raveni (Senior Analyst, GlobalData Strategic Intelligence)Guest: Top Hopgood (Lead Analyst, GlobalData Construction)

 Today Justin speaks with Luis Baptistella. Luis is a specialist in intelligence and counterintelligence, and a retired officer of the Brazilian Navy, where he attained the rank of captain during a distinguished 35-year career. He also served on a US Navy ship in the late 1990s during the conflict in the Balkans, studied at the National Defense University in China, and served as a military attaché in West Africa. In November 2020, he founded Bravus Consultoria, a consulting firm focused on business intelligence and corporate counter intelligence for the Brazilian market. He's here to discuss his career in the Navy and his later work as a private intelligence consultant. He has also written about intelligence threats, history, and strategies in his book, which is available now. Connect with Luis: IG:@luisfernandobaptistella LinkedIn: Luis Fernando Baptistella Check out the book, Counter & Intelligence 4.0, here. https://a.co/d/06Pk1jOb Connect with Spycraft 101: Get Justin's latest book, Murder, Intrigue, and Conspiracy: Stories from the Cold War and Beyond, here. spycraft101.com IG: @spycraft101 Shop: shop.spycraft101.com Substack: spycraft101.substack.com Patreon: Spycraft 101 Find Justin's first book, Spyshots: Volume One, here. Check out Justin's second book, Covert Arms, here. Download the free eBook, The Clandestine Operative's Sidearm of Choice, here. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Laura Aleman from Carbon Better talks about marketing sustainability. She discusses how to promote environmental achievements without greenwashing andwhat it means to talk about sustainability in the age of anti-ESG.  Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/ To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themes Host: Holly Anness-Bradshaw (Senior Analyst, GlobalData Strategic Intelligence)Guests: Laura Aleman (Content and Marketing Specialist, Carbon Better)

In this episode, Aidan, Nick and Monia discuss their time at IHTF 2026. They talk about the lessons learned from the conference, everything from AI adoption in hotels to the importance of branding in tourism. Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/ To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themes Host: Aidan Knight (Analyst, GlobalData Aerospace & Defense)Guests: Monia Borwai (Analyst, GlobalData Travel & Tourism) and Nicholas Wyatt (Foodservice & Tourism Director, GlobalData)

You Built It… Now You're Stuck: The Truth About Founder-Led Growth Show Notes Why do founder-led companies stall—even when the founder is talented, driven, and working harder than ever? In this episode of the Trimetric Roadmap Podcast, Scott and Jeff unpack a reality most entrepreneurs eventually face: what got you here won't get you there. As your business grows, complexity increases—and if everything still runs through you, you become the bottleneck. This isn't a motivation problem. It's a systems and leadership problem. What You'll Learn: Why founders naturally become the bottleneck as they scale The real reasons founders struggle to let go (hint: pride, fear, and skill gaps) How growth creates complexity faster than most leaders can handle The difference between reactive growth vs. proactive, scalable growth Why “being unique” is often the excuse keeping you stuck The missing layer between strategy and execution: Executive Performance Key Insight: You can't scale a business by scaling yourself. At some point, success requires shifting from: Operator → Coordinator → Facilitator → Conductor → Investor And that only happens when you install the right systems. The Big Idea: Executive Performance Most founders have: Vision Work ethic Drive But they lack the Executive Performance System—the structure that turns strategy into consistent execution. This system has two core engines: Strategic Intelligence (clarity, data, decision-making) Execution Discipline (systems, accountability, ownership) Without both, growth stalls. The Trimetric Flywheel To break through the bottleneck, you need a repeatable process: Truth – Get a clear, objective view of your business Alignment – Build systems and structure around reality Execution – Drive consistent action and accountability Repeat quarterly → build momentum → create freedom. Hard Truths from the Episode If everything depends on you, you don't have a business—you have a job Your business is not as “unique” as you think—and that's good news Freedom requires letting go before you feel ready The fear of growth is real (more sales = more pressure… unless systems exist) Action Step Take a hard look in the mirror. Start with the TriMetric Quiz to assess: Business Health Executive Performance Life Quality

In this episode, Dr Antonia Ward from Stylus joins us to discuss the trends in the New Luxury Dynamics report. She talks about luxury travel, health & wellness, and what brands can take from these new consumer trends. Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/ To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themesTo find out more about Stylus: https://stylus.com/To sign up to Dr Antonia Ward's newsletter please contact innovation@stylus.comHost: Holly Anness-Bradshaw (Senior Analyst, GlobalData Strategic Intelligence)Guests: Dr Antonia Ward (Chief Futurist, Stylus)

Episode Title: From Awareness to Execution: The 7 Pillars of Executive Performance (Series Wrap-Up) Episode Summary: In this wrap-up episode, Scott and Jeff revisit the 7 core domains of executive performance and shift the focus from diagnosing problems to installing systems that solve them. If you've ever felt like your business depends too much on you, this episode connects the dots—and sets the stage for the next phase: building a company that runs without you. 1. Executive Performance Drives Everything “How the leadership goes is how the business goes” Your business ceiling is your leadership ceiling 2. The 7 Domains (Quick Recap) Vision & Strategic Thinking Define the future and map the path to get there Leadership Presence & Emotional Maturity Stay steady under pressure → builds trust Communication & Alignment Eliminate silos → create shared direction Team Engagement & Culture Culture exists whether you design it or not Execution Through Others Don't delegate tasks → delegate outcomes Customer & Stakeholder Stewardship Stay connected while scaling leadership Technology, Tools & Systems Use systems to reduce chaos and increase leverage 3. Awareness Isn't Enough Most founders stop at:

In this episode, Adrian Barker, key account director at EkkoSense, explains how growing AI workloads are pushing cooling systems past their limits. He explains the rise of liquid and hybrid cooling, and what emerging technologies may shape cooling over the next decade.EkkoSense website: https://www.ekkosense.com/ Data Centers report: https://www.globaldata.com/store/report/data-centers-theme-analysis/Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themesHost: Martina Raveni (Senior Analyst, Strategic Intelligence)Guests: Adrian Barker ​​(Key Account Director,​​ EkkoSense​)

In this episode, Grace and Steve join us to discuss Trump's tariffs a year on from their instatement. They look at the biggest winners and losers, as well as the impact of tariffs on the global economy.  This episode was recorded on the 9th April 2026 Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/ To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themes Host: Aidan Knight (Associate Analyst, Strategic Intelligence)Guests: Steve Blitz (Chief US Economist and Managing Director, GlobalData TS.Lombard) and Grace Fan (Head of Global Policy and Disruptive Themes, GlobalData TS.Lombard)

In this episode, Alexander Emmanuel-Jones from The Black Farmer discusses the integration of AI into consumer operations. He talks about developing AI tools for small businesses and use cases for AI in the retail space.  Learn more about The Black Farmer: https://theblackfarmer.com/?srsltid=AfmBOooLOeDiq0CaiPzZ-s0z4IuhSYapJAoSCdvh5smWRFaTm1KuVaqL Learn more about our AI research: https://www.globaldata.com/store/report/ai-journey-generative-to-agentic-theme-analysis/ Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/ To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themes Host: Martina Raveni (Senior Analyst, Strategic Intelligence)Guests: Alexander Emmanuel-Jones (Commercial Director, The Black Farmer)

2. Pappalardo details Captain Will Scott's modern law enforcement approach, utilizing undercover work and strategic intelligence. Amidst devastating blizzards and the rise of barbed wire, the Rangers acted as "agents of change". They enforced the transition from the open range to a railroad economy, navigating intense political and very difficult financial pressures. (2)1829 TEXAS RANGERS

Join Marta Vizcaíno Martín, CEO and Founder of Tetrax, for a deep dive into the digital transformation of professional services. With over 17 years of experience as an M&A lawyer at top-tier international firms, Marta has navigated the most complex renewable energy transactions and Power Purchase Agreements (PPAs) in the industry. In this episode, we explore how she is leveraging that expertise to build Tetrax—an AI-powered intelligence layer that detects, structures, and monitors risks across massive volumes of legal and technical data to accelerate energy transitions.

“The center of any change that we’re doing in the fourth industrial revolution is always the human being, because humans have an ability to adopt, adapt to skills, and adjust to an environment.” –Henrik von Scheel About Henrik von Scheel Henrik von Scheel is Co-Founder of advisory firm Strategic Intelligence, Chairman of the Climate Asset Trust, Vice Chairman of Regulatory Intelligence Committee, and Professor of Strategy, Arthur Lok Jack School of Business, among other roles. He is best known as originator of Industry 4.0, with many awards and extensive global recognition of his work. Webiste: von-scheel.com LinkedIn Profile: Henrik von Scheel What you will learn Why human-centered AI is crucial for widespread societal prosperity The impact of AI hype cycles, media narratives, and the realities of technology adoption How equitable wealth distribution and capital allocation in AI can shape economic outcomes Risks around data ownership, privacy, and the importance of controlling your own data in the AI era Divergent approaches to AI regulation in the US, EU, and China, and the implications for global AI leadership The importance of trust calibration and intentional human-AI collaboration in practical applications How education and lifelong learning can be reshaped by AI to support individualized growth and mistake-enabled reasoning Opportunities for AI to amplify individual talents, address educational gaps, and enable more specialized and innovative skills Episode Resources Transcript Ross Dawson: Henrik, it is wonderful to have you on the show. Henrik von Scheel: Thank you very much for having me, Ross. Ross Dawson: So I think we’re pretty aligned in believing that we need to approach AI from a human-centered perspective and how it can bring us prosperity. So I’d just love to start with, how do you think about how we should be thinking about AI? Henrik von Scheel: Well, I think, like every technology that comes into play, it brings a lot of changes to us. But I think the center of any change that we’re doing in the fourth industrial revolution is always the human being, because humans have an ability to adapt, adapt to skills, and adjust to an environment. So technology is something that we apply, but it’s the strategy on how we adapt with it that makes a difference. It’s never the technology itself. So I’m excited. It’s one of the most exciting periods for the industry and for us as people. Ross Dawson: There’s a phrase which I’ve heard you say more than once around AI should make us smarter, healthier, and wealthier. So if that’s the case, how do we frame it? How do we start to get on that journey? Henrik von Scheel: So I think what people experience today in AI is that they experience a lot of media hype—large language models, ChatGPT, and all of this—and they consume it from the media. So there’s a big hype around it, and I believe that AI is about to crash fundamentally, but crashing in technology is not bad, right? There are a lot of promises and then an inability to deliver, and then it crashes. What you hear in the media today is very much driven by a story of them raising funds because it’s so expensive, and so they are promising the world of everything and nothing, and the reality looks a little bit better. The world that they are presenting is that you will be replaced, and you will be happy, and you’ll be served by everything else. And somehow it will work out. We don’t know how, but it will work out. And that’s not a future that is really a real future. The future must include that everybody gets smarter, wealthier, and healthier. And when I say everybody, I mean not only the guys that have money, that they become more rich, or the middle class. It’s like everybody in society should get smarter from AI. That means part of the things that they need to learn or how human evolution works should be better, and it should make us healthier people and wealthier people. So it should not only be that we sacrifice our convenience with our freedom, with our privacy, with our environment, or any other things that we put on the table to get convenience back. That exchange we have done a couple of times, and it’s not working really well for humans, and it’s not a good trade for us, right? Ross Dawson: Yeah, I love that. And since it’s quite simple, you know, you can say it, it’s clear, it sounds good, and it is a really clear direction. But you’re actually pointing in a couple of ways there to capital allocation. So obviously, if you’re looking at the AI economic story, this is around this diversion of capital from other places to AI model development, data centers, deployment, and so on. But also, when you’re saying wealth here, this is around the distribution of wealth—where we’re allocating capital to AI development, but also from the way in which AI is developed, there will be creation of wealth. There is the real potential for productivity improvement. But then it’s about finding, how do we have the mechanisms for allocation of wealth or capital from that which is allocated? Let’s call it equitably. Henrik von Scheel: I’m a firm believer that this year, 35 to 45% of the money invested in AI will evaporate. Companies that have invested—they’re the early adopters—they have this format, so they’re rushing to it. From a company perspective, you always adapt the best practices. When it goes beyond the hype, and the performance curve and adoption curve is low. For example, for AI, the simple version is there. You heard that Deloitte and McKinsey talked 10 years ago about robotic process automation like God’s gift to mankind in AI. Today, you don’t hear them talking about it, because you can download it for free—for HR, for forecasting, planning, budgeting, and so on, you can save 20 or 30%, and as an organization, you can do it yourself. You download two, three models, you test it, and you run it. Good, okay, so that’s when you apply best practices. Then you have industry practices, like AI agents. So when you have AI agents for manufacturing, for industrial sectors, for energy sectors, they are nothing else than workflow optimization. You use robotic process optimization, you do a visualization on it, so it’s far more practical at a level, because you use the data they already have in the organizations under a simple line on the process flow, on the safety, security—it’s very much down at the level where they can apply it and use it. So this version of large language models, where you have this magic powder you spread over the organization and it’s totally working—it’s not really there. And then there’s the third leg that companies are quite aware of. It’s called Shadow AI, right? Shadow AI is because AI is the biggest infringement on intellectual capital within organizations. The reason why normal people are not allowed to look at pornography at their work is because of cybersecurity. It’s not that your boss doesn’t like you to look at pornography; it’s because of cybersecurity. It’s the same reason with AI—you should not be allowed to use Copilot latest version or large language models as a CFO or as a worker, because you’re exporting your own information outside. Copilot takes, every five seconds, a screenshot for the large language models’ learning. So as a corporate point of view, that’s the first thing—you should actually protect your own data so you can monetize your data in the future. From an economic point of view, if you go two, three steps behind this, you ask, okay, what is it that makes sense in this? There’s something really, really strange in this. Australia was built by building railways—they take 100 years to build, they also last 100 years. The infrastructure that lasts. So there’s a return on investment. You build streets, you build education systems—everything we build as humans, as society, has a lasting element to it. Now, we build data centers that last three months until the chips need to be returned, or six months. So there’s no sense in that we are building data centers around the world where we capture all data. It has a volume of hundreds of trillions of dollars, and we need to exchange them at a rate between three to six months to maintain the data. And then you say, wow. And you do that via license models of large language models—the data can never, in its entire life cycle, be that much worth. So there’s a very strange element, because most of the entrepreneurs that go to large language models and use their solutions on Gemini and ChatGPT and so on, you say, okay, you are building your solution on large language models, but you don’t own the model. You don’t own the data. You don’t own your own data. So what are you doing? Ross Dawson: You have architectural choices, to a point, as to— Henrik von Scheel: That’s Architectural choices, but you are limiting yourself. So the first element you always say, if my value is customizing a solution, your value is actually the data. So you must have a way to keep and maintain the data yourself. We can take another call to say how you apply AI and what the future of AI looks like, because AI today is very much focused on language models, and language models are the most limited version of AI science of all. It has the least data, but it’s the one we’re most excited about, because it resembles something we do—our wording, our formation of words. It’s a recognition. Recognitions are what we do. I wanted to come back to this about the economy, right? The US economy puts all chips on this. It’s highly energy sensitive, and it’s working all railroads. However, the US dollar is on a really, really bad track record. Three and a half years ago, there was a president in the US—he was sleeping—and meanwhile, he was sleeping, Saudi Arabia’s King MBS went in and he did a divorce, which is called the divorce of the petrodollar. So the gold linked with US dollar linked with oil—that was the solution. The US had that anybody, they could print as much money as they wanted, and the rest of the world was paying the dividend for it. It was the only country that could just print money. That brought the US into a mode, and when the new president came into his office, it’s very rare that in the US, you are writing an accord. An accord is only written when the Federal Reserve goes into the president’s office saying, guys, we’re hitting the wall. We need to do something. And they wrote five plans, what they wanted to do. And here’s the funny thing—when I mention them, you will recognize them very much. Number one, bring back manufacturing. Number two, implement tariffs so they can pull back US dollars. Number three, then they wanted to implement stable coins to pull back US dollars. I forgot number three, actually. Number four, and number five was actually they want to go to war. Now they go to war, right? So they are going to war, not because of any reasons besides their economy is based on a war machine, and the economy is becoming unstable. So that’s one of the main reasons. The US has put all cards on AI—all their economy cards are on AI. And that’s, from a country perspective, a very dangerous thing to do because you need energy and you need data, and AI from the US perspective has become a defense mechanism. When you look at the regulatory aspect of AI, Europe is very much put into human and center, and that the human owns the data, protects teenagers up to 16 years old, and that you can work as an entrepreneur with data, but you have to coordinate how you protect and manage the data. You have to be transparent on how you use the data and how much data you use. The US is very different—red tape off, no regulations at all, full-blown power to the market, and you are seen as a consumer, Ross, so all power to the guys who earn money to make more money. So no protections of anything, of your data—that’s the US version and literally, no regulations, no redtape regulations. Ross Dawson: In a moment, I want to move on to the human-AI collaboration. But just to round this out, you said before about your prediction that 35 to 40% of the investment in AI is gone, which I think is very, very fair. So back when we both were speakers at the Future of Sex Summit in Dubai last year, I was on a panel where I was asked, is it boom or bust? And basically both, in the sense of 35–40%—that’s bust. But at the same time, there are other parts of the market which can prosper. Of course, consolidation of the market means that there’s massive investments and in some cases massive losses, but there still are sectors where high value can be created. But this goes back to your point where still a lot of the center is in the US. We are starting to see sovereign AI initiatives and other initiatives around the world, but those are often open source foundation models. And obviously the regulation, particularly around the EU, provides a still very differentiated AI landscape with US, China, EU, and then some other players as well, where if we see boom and bust, that could be very much focused on the US, with potential for other parts of the world to see more growth in AI. Henrik von Scheel: So Ross, you’re using large language models, right? Ross Dawson: Yes. Henrik von Scheel: Do you have the feeling that they, since last year, are getting stronger or weaker? they’re getting weaker? Ross Dawson: They’re getting better. Henrik von Scheel: My feeling is the opposite. My feeling is that they’re getting weaker and weaker, and that’s because part of the data — Ross Dawson: In which content? Henrik von Scheel: They’re using old, old content. They’ve already used old content. So now you need to go to specialized, you need to go to public sources, to go for research data, you know. But from a content-wise perspective, it becomes extremely weak. I mean, last year, I’m extremely disappointed by large language models—very, very disappointed in terms of what they can deliver and what they do. Ask it whatever—ask it about futurism prediction, or ask about Industry 5.0, 5.6, whatever answer you give it, you can get an answer. You know, 110%—like CPAM, there are 19 regulations on CPAM, and you ask, how many regulations are there? They will give you sometimes 19, sometimes 17, sometimes 23—they just make up stuff. It just gets worse and worse. So if the valid data is not strong enough, it becomes actually a very, very weak tool after all, right? Ross Dawson: So are these using the top models from the frontier labs, because they are very good. Henrik von Scheel: Yeah, but then you have to have the paid model. But it’s not like I’m really, really impressed by it. It’s not kicking my bum where it says, holy smokes. In the beginning, the first two years, you were surprised, right? So I have a little bit of the feeling that AI today is a little bit where emails were in the beginning, and then digitalization came. With emails, we were all excited, but emails just created not less workload, but more workload for us—it decreased our productivity. There are really good signs of this. Then you look at digitalization, right? We were all excited because we can connect, we can talk to our friends, all of this. But what ended up with WhatsApp Business? WhatsApp Business is no business, right? We are using it, but it decreases our productivity level far more. So today, with digitalization, we are becoming generalists—quick information, we know something, but we don’t know anything, right? It’s not that you would put the finger on it and say, well, it has really increased our innovation level. No. Has it really increased our research level? No. Has it really made us better human beings? No. So I’m not negative against it. I’m just saying we have to be careful, because we have a knife or a hammer—we shouldn’t use the hammer for everything. And you mentioned that really well, right? AI’s hype cycle is, with any technology, there’s a hype, and then it goes down and matures, and then the application of this is different than what you thought in the beginning, of course, but that’s AI—it’s very much relevant. But you know, the big message today in AI is AI physical, right? What is AI physical? Ross Dawson: Well, just going back to the point—a lot of what I’m working on at the moment is the idea of appropriate trust. So you trust the models enough, but not too much, so that if they are going to give you bad results, you’re not relying on them. But if they are useful, you can use them. So we have to continue to calibrate for any particular model, which is different in every particular context. This is both essentially a skill or a capability, where we need to know when and how to use models at any particular time, because they’re changing in whatever way. So that becomes a foundation of how we can trust them to the right degree—not too much, but enough that we can actually use them if they are useful. Which comes back to this frame of the human-AI collaboration, which you’ve been doing a lot of work on. So if AI can be useful in some contexts, how is it that we can best build effective human-AI collaboration? Henrik von Scheel: I like this. Let’s play a little bit, right? So if human evolution is evolving with the birth certificate, we go to kindergarten, we go to school, and we learn differently. Everybody’s individual—we learn differently, right? It takes humans a long time to learn, to sense, to do all of this. And then you have AI, which is a supporting learning model for you to store information. But today you learn, and the model learns on you. You log in, and every time you learn, the model learns from you. That means that all your information is captured there, right? So the next evolution of a model should be that the privacy of Ross is throughout your last five years with large language models—you’ve studied Porter’s models, you’ve studied this and this. Well, if I ask you next day about Porter’s model, you still forget it, but the machine should be able to help you to learn, to adopt the skills in your daily life. So it cannot be a machine knowledge learning that is owned somewhere else by a big company—it must be something that is attached to Ross throughout your life, that you go from where you are now, and in five years, you’re somewhere else. So the knowledge that you have searched and gained and adopted, it follows your life, right? This is, for me, AI—the real AI revolution happens in the bio revolution in 2030, because the biggest amount of data we have is biophysical data. So the interconnection between our body, the modules, the biosystem modules, the biophysical systems, how we eat food, how material, with their level, is coming all in there, and part of this is the knowledge center of you, Ross. So if you learn something, how does it follow your evolution? Do you learn the same way today you learned 10 years ago? Ross Dawson: And it’s a wonderful thing that we continue to learn and forget and evolve. We are the same person, sort of, but, you know, we are a different person at the same time. Henrik von Scheel: I was talking yesterday to a psychiatrist who’s studying human evolution, and she’s called Trina Gondo, and I had this interesting discussion with her, because she says humans’ learning capacity changes throughout their life. So if we have learning modules that can support us throughout our life—to go through how conscious, how focused we are on things, how much stress level we can take, because stress levels are also different, how much breadth are you covering in terms of your work, your private life, how are you in terms of setup, in terms of your spiritual life—all of this has something to do with your learning, because it’s your perspective you drive. It’s your values you drive. I actually developed with her a model in terms of how the six aggregates of the brain work to understand our human evolution. For the last eight months, I’m trying to map human evolution, to map it to what AI—how it affects it, what we should regulate and how we should protect it, and how the human can monetize its own data, right? So just look at— Ross Dawson: The initiative by Doc Searls. So there’s a couple of really interesting initiatives. This is one where he worked originally on VRM, the vendor relationship management—you own your own data and trade that as effective—and is now building, or being instrumental in setting up, an AI initiative where it is around your personal AI, so you own the data, you own the systems, and you’re able to evolve with it. There are some other interesting initiatives like this, but these are obviously very tiny compared with the ways in which most people are using—essentially giving off their data to other people. But this is certainly part of the potential, to build the structures and architectures where we do own our data and our models and how they are used and what comes from them. Henrik von Scheel: So let’s go back into one element, right? Originally, Ross, you and everybody else of us who live in a society, we made an agreement with the government—a social agreement. And the social agreement is, I’m using, you’re protecting me, and I’m willing to pay tax somehow, right? So in reality, the government you made an agreement with should have the ability to protect you. However, in an AI model today, it’s not possible, because if they should protect you from the very beginning and keep the store of your data and maintain your data, the amount of money they need just to maintain your data is immense. So we need to define and find a model with governments where governments and the human being can, in co-ownership, hold the data structure—like in a blockchain, that you have a public and a private key, and both can hold the data, but the data is only unlocked both ways. Why? Because there’s a monetization model on your own data throughout your life. And when you die, your data goes on to your children, because that’s your DNA data, that’s your history life data, that’s all of it. So there should be an ability to monetize it. The challenge we face with this is the amount it will cost to maintain your data throughout your life, and we need to find—in the fourth industrial revolution, we’re going through the bio revolution, then we’re going to the consumer revolution, and then we go to the fusion revolution. And in the fusion revolution, the objective and the hope is that we are finding mechanisms to have cheap energy, because the amount of energy we use today in terms of data is literally crazy. It’s utterly, utterly crazy. We should be ashamed of ourselves if we see that, and that’s just for the amount of convenience. So if we find a model for our government to do this, we should actually work on this. This is what I’m trying to look at. I want to alert you to one interesting thing. My key field of study is patternicity with probabilities. So when you look at trends that are coming, you look at probabilities—not ChatGPT stuff, right? When you look at this, there’s one trend that emerged last week that hasn’t been emerging before—the trend of anarchy in Europe. Anarchy is an interesting aspect, because anarchy is your distrust in the government. And when anarchy comes, it’s just an equation of 25%. If 25% in a country like Germany or UK or France will take it, 25% is a flipping chart for everybody, because the petrol prices are too high, expenses for food are too high, they get too many promises they never—and then take the power in their own hand. When you look at it a little bit, you say, but anarchy—is that something new? No, the US is living in anarchy today. Trump is the true version of anarchy. They distrust the government, and they choose him, and he, from all aspects, says, okay, I’m doing something very different. I give all the power to the market. There’s been no time in history where all the power is residing within the market—Elon Musk and Amazon, Apple, all of them have literally all the power. It’s totally, utterly crazy. This is the highest version of anarchy you can see in a country. And if we’re not careful, it’s spreading. Why am I discussing this in an AI human element? Because if the human is the centerpiece, what is the core element of human development? It’s that we have safety, security, and trust. If trust is broken, anarchy emerges. So if anarchy emerges, AI can take on very different versions that we don’t want in a scenario thinking, but AI can also take on the version that it can support us in our evolution. Ross Dawson: Well, just going to that—education. You are a professor. You are an educator. You look at the future of education, and you alluded to that before. So in this world where AI is already and is becoming more significant, how do we reinvent education? How do we educate ourselves as individuals, as educational institutions, or society? How do we shape the education that we need for the exciting coming times? Henrik von Scheel: I think one of our challenges with education is that we as people, when we go beyond eight years old, the key element we’re learning is reasoning, and our reasoning skills are learned by doing mistakes, unfortunately. We never learn by getting an answer. If you study Porter’s model on ChatGPT, and you get all the answers from Porter’s model, and I ask you the next day, if you haven’t applied it, you haven’t learned it. If I would ask you, you will learn it. You do mistakes, and it’s by doing the mistakes, by putting yourself into the content, working with the content, and doing mistakes, you learn. Unfortunately, most of the stuff we learn today—now, human evolution in reasoning is by doing mistakes. So we need to find a very smart way how AI can support us in this mistake learning phase, because it’s the way that we are built to learn, right? Ross Dawson: And I think that’s a critical thing—where as individuals, we need to understand that if we delegate our thinking to AI, it’s not going to work; you’re going to be dumber rather than smarter. But if we can have the intent of using it to hone our thinking and helping us to make mistakes or be a Socratic dialog or whatever, we can do that, but that requires the individual intent. So again, we also need to frame as educators and also in organizations—which should be educational institutions in their own right, because they are learning organizations—it’s this framing of the use of AI as a cognitive foil for us, as opposed to something where we delegate our work, which is never going to get us anywhere good. Henrik von Scheel: And where do you think we can use it in education? Ross Dawson: The good thing is, you know, personalized education, where I think that there is definitely this ability to address where individuals are and their understanding, the metaphors that will be relevant to them, the frames for that. But it never has to be in a form of giving the answer. So there’s always this complement of human—as in, the educator needs to be inspiring. They need to help the person to find themselves. They have that relationship with them. So it’s this complement with the AI, which can guide to specific lessons or frames or examples that people resonate with, which can assist them. And so again, it needs to be very much—individuals need to understand, they have to shape it for themselves. I think we can present things in the right way. And there’s very much a human plus AI educational frame. Henrik von Scheel: I think you’re spot on with this. When you look at the five aggregates that we have in human evolution and in education phases, our sensory—our forming of ourselves to the outside world—is shaped quite early on, until we are maybe 12 years old, but quite early, the first two years. That means our sight, our smell, how we hear, how we taste, how we feel, and how our balance works—we learn quite fast. This is what AI is focusing on in AI physical today. They’re trying to come from a language model point of view outside to the physical world. Then we have this cognitive version of us, which is the intellect version. It’s very different. The intellect version of us is a version of awareness, a version of how we comprehend things, how we understand things, how our knowledge is conceived and given out. So it’s both communications, it’s storytelling, it’s our comprehension, it’s our perspective, it’s our reasoning, it’s our awareness. These four things are never the same for the same person. I can have a room of 200 students, I can talk about the same element on Adam Smith’s first principle, and they will all understand it differently because of their different backgrounds. So this part of cognitive understanding, the intellect, is far more complex. Then you go to the versions of who we are as a person. Our memories—our memories are a whole element of our emotions, which is a hugely important part of our learning, because memories have nothing to do with truth. Large language models always look for the truth, but in our own memories, we are lying to ourselves to keep our sanity. We are partly, not consciously but unconsciously, lying to ourselves because we view it only from one perspective. So our reflection of our memories or our impulses are related to our memories or our conceptual things. All these elements are our emotional elements, in terms of how strongly we can link to knowledge, how strongly we can see the future, how we can see ourselves in the future—all of this. When you look at the crisis now, the memory is on how resilient we are as people, how resilient we are in our learning phase, how comfortable we are with the unknown, how comfortable we are to learning. Then you have the next two ones. The other one is our mental formation or our identity. This is the element we’re trying to protect in digitalization—how we form our opinions, our insight, our resolution, our understanding, ourselves, and our retentiveness, who we are. All of these things are being shaped as teenagers. We don’t want this to be in a social aspect. We want this to be a safe, secure element. So this is the identity you form. Then you have the consciousness. The consciousness is a strange thing. You have two layers running in your education. You have the layers that are running long term and the unconsciousness that actually takes the decision—the analytical versions and the underlying elements. For example, why are you doing something? So you come with purposes, you come with energy, you come with desire, or you come with willpower. Then you say, well, they’re more etheric. No, they’re not. Because, Ross, you wake up every morning with that much amount of energy. You can use this the next eight hours you work. You can use it on emails the first four hours, but then you’re using your most precious willpower and energy right then. You have your willpower to train, for example, if you want to do training. When you want to train in the evening, when your willpower is lower, you want to train early in the morning. So this willpower and the energy is what we as humans in our consciousness—how we are aware of things, what we focus on, we magnify. So these are the five aggregates you’re using from the learning perspective. If we apply these, you and I, Ross, we would go into an initiative to say, how can we apply this to understand human evolution when we evolve this? Because I’m nearly 60 years old now, and that means, for me, my concept of life, experience of life, is different than when I was 30, than when I was 20. You cannot go to a young person that is 15 years old and say, let me tell you about love—there are four different phases of love. They need to experience them themselves, because it’s not my job to take that away from them. And it’s not my job to tell a young man, now you want to conquer and do, you want to have freedom, Generation X and all of this. And then you realize, easy, easy, easy. I’ll let you know. When you fall in love and you become a father, it changes you. Why does it change you? Because accountability moves into a man’s focus area, as before he was conquering. And then accountability—a man wants to be a caretaker of something, and it fulfills and magnifies a man. And then you say, well, this is not part of the five aggregates—very much so, right? Because it’s part of human evolution. Ross, you have experienced that in your life. So then you say, how do we connect that with our evolution and learning? Ross Dawson: Yeah, no, I think that’s a really important point around accountability for ourselves, for those around us, directly in the broader community. And I think that’s kind of this big humans plus AI frame. So we’re obviously just touching the surface of what we could dig into now. But how can people find out more about your work Henrik? Henrik von Scheel: I’m a public figure. I’m doing a lot of research projects with universities. I have a lot of PhD students and coaching and supporting governments on policy initiatives. Currently, I’m focusing a lot in the Gulf regions on strategic briefings, on crisis management, in terms of doing scenarios for strategic, tactical, operational, for short term and long term. But my passion is actually teaching, and this is far more a personal story on teaching. People see me always as the Industry 4.0 originator on everything I have accomplished. But my true story is actually quite different. When I was young, I was dyslexic. I’m actually double dyslexic, and I was stuttering. I had a very, very difficult time in school. That’s why I am a little bit passive aggressive, because I’m always on the defensive, because many years I went through life just being some sort of an outcast. So within that phase, I had a very strong teacher that actually supported me and used time and effort to see my skills, and he helped me to overcome my dyslexia—which is not really true. You never overcome your dyslexia. You are just getting tools to work with it. So that means I’ve written today nine books, and five of them are bestsellers, but I cannot even read my own books aloud. So what is the message I’m giving? Everybody of us is made different, and because we’re made different, it’s not that—because society is often built on, if you don’t fit that frame, then you’re not part of that frame. But I think AI opens up something for us—that the breadth of who we are as people is a beautiful thing. And because I cannot speak the same way, like I have a good friend Tarek, who is also your friend—he’s a gifted storyteller. My gift is that I can see patterns. So I believe that every human being should be able to see their superpower. Your gift, Ross, is a very different gift. You can gather communities, you can convey difficult things in a simple thing, you have an ability to put the human in the future, where everybody sits today and they freak the hell out because they don’t see them part of the future. So I think everybody has a future in that. To answer your question, I’m a quite reachable person. I believe the future looks like a good future for us, Ross. I believe this is the time for our educators to wake up out of their long-term sleep. We need to evolve our teaching material. We need to evolve the way that we learn and teach. We have terrible lessons in terms of how boys and girls evolve in their learnings, and we’re not doing anything about it. This is our chance with AI to change the learning mechanisms for boys and girls, our learning mechanisms if you’re one like me that doesn’t fit these templates, if you have special needs. We have the ability with AI to specialize ourselves far more in detail. One of the challenges we have with education today—when you go from primary school to higher education, and then go beyond higher education—our challenge with higher education is we have become generalists, and our generalism is actually inhibiting us to innovate, so we’re not meeting some of the core challenges that we have in science today, and we need to push the boundaries on where we go to research to really become innovative. We need to push our boundaries in terms of manufacturing, energy sector, and so on, to specialize in special fields. When you look at engineering schools, engineering schools have become more and more generalist in six fields, and they should become specialists in fields. So I think that’s where we need to really push the boundaries. Ross Dawson: Yeah, no, I think, to your point, what I see as one of the ultimate possibilities from AI is that it amplifies our individuality. And so that’s an extraordinary possibility. So thank you so much for your time and your insights, Henrik. You’re sharing some great work, and we’ll share in the show notes links to one of your research papers and the work you do. Thank you. Henrik von Scheel: Okay, thanks a lot. Good. Goodbye. The post Henrik von Scheel on making people smarter, wealthier and healthier, biophysical data, resilient learning, and human evolution (AC Ep37) appeared first on Humans + AI.

Dr. John Coyne joins John Anderson to provide a sobering assessment of why Australia has fallen behind its international peers in maintaining essential fuel reserves. They trace the history of global energy shocks to explain how current complacency regarding diesel and urea threatens the heartbeat of the Australian agricultural sector.The conversation considers the 'cascading risks' of the modern strategic environment and the limitations of current solutions like electrification for heavy farming machinery. This is a call for leaders to prioritise sovereign security and frank policy advice over populist convenience.Dr. John Coyne is the inaugural Director of ASPI's National Security Program, overseeing ASPI's Counter-Terrorism Policy Centre; Statecraft and Intelligence Policy Centre; Climate and Security Policy Centre, and Strategic Policing and Law Enforcement Policy Centre. He is the author of The Role of Strategic Intelligence in Law Enforcement and has published widely on policing, national security, northern Australia and organised crime.

In this episode, Jordan and Amna discuss how the future of work is being impacted by technology. They discuss the key changes generative and agentic AI are having on workforces and workspaces. The Future of Work report: https://www.globaldata.com/store/report/future-of-work-theme-analysis/AI and the Future of Work report: https://www.globaldata.com/store/report/ai-and-future-of-work-theme-analysis/Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themesHost: Martina Raveni (Senior Analyst, Strategic Intelligence)Guests: Jordan Strzelecki​ (Analyst, Strategic Intelligence) and Amna Mujahid (Senior Analyst, Strategic Intelligence)

In this episode, Rupantar and Anisha join us to discuss the future of personal devices. They cover the transition from devices we carry with us like smartphones, to futuristic devices that will be on us.   The Future of Personal Devices report here: https://www.globaldata.com/store/report/future-of-personal-devices-theme-analysis/ Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/ To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themes Host: Martina Raveni (Senior Analyst, Strategic Intelligence)Guests: Rupantar Guha (Practice Head, Strategic Intelligence) and Anisha Bhatia (Senior Analyst, GlobalData Technology)

This week, Zachary and Jeremi have a conversation with Dr. Michael Dennis about the current war with Iran and the United States and Israel with a focus on the historical perspective. Michael Dennis is an Associate Professor of Practice at the Lyndon B. Johnson School of Public Affairs. Dr. Dennis served as Chief of Intelligence Operations and Chief of Strategic Futures at Army Futures Command and was a member of the Intelligence Community, serving at the National Ground Intelligence Center as a Senior Intelligence Analyst. He was appointed an Exceptional Analyst Research Fellow at the Office of the Director of National Intelligence and taught at the National Intelligence University's Center for Strategic Intelligence and Research.

In this episode, Mario Hoxhaj (Mainsim) discusses how AI is reshaping frontend software development, from speeding up everyday coding tasks to changing how developers approach problem‑solving. He also explores what the frontend role might look like over the next years.AI and the Future of Work report: https://www.globaldata.com/store/report/ai-and-future-of-work-theme-analysis/Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themesHost: Martina Raveni (Senior Analyst, Strategic Intelligence)Guest: Mario Hoxhaj (Frontend Developer at Mainsim)

In this episode, Grace and Elizabeth join us to discuss the Donroe Doctrine. They talk about Trump's recent moves in Venezuela and Greenland, and what this means for global geopolitics. This episode was recorded on the 12th February 2026. Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/ To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themes Host: Aidan Knight (Associate Analyst, Strategic Intelligence)Guests: Elizabeth Johnson (Managing Director of Brazil Research, GlobalData TS.Lombard) and Grace Fan (Head of Global Policy and Disruptive Themes, GlobalData TS.Lombard)

In this episode, Jordan, Nilesh, and Valentina explore the current landscape and commercial potential of augmented reality (AR). They also discuss use cases across the mining and construction sectors.Find out the Augmented Reality report here: https://www.globaldata.com/store/report/ar-theme-analysis/Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themesHost: Martina Raveni (Senior Analyst, Strategic Intelligence)Guests: Jordan Strzelecki​ (Analyst,​ Strategic Intelligence), Nilesh Raghoo ​(Associate Analyst,​ Strategic Intelligence), and Valentina Aparicio (Associate Analyst,​ Strategic Intelligence)

What happens when urgency quiets — but clarity hasn't arrived yet?In this episode, Paula explores why stillness often appears after integrity has been chosen and old ways of leading no longer fit. For many capable leaders, this phase can feel unsettling: fewer impulses, less urgency, and no clear sense of what to do next.Rather than treating this stillness as a pause or a problem, this conversation reframes it as leadership intelligence — an orientation point where information becomes perceptible again.This episode is an invitation to stop forcing movement and to trust what is quietly organizing beneath the surface.—If this episode met you, you're welcome to join Sacred Notes — a quiet weekly rhythm I share by email: https://paulaimmo.myflodesk.com/sacrednotes —Keywords: Stillness, Leadership intelligence, Urgency, Nervous system, Presence

In this episode on The Coaching Podcast, we explore what it truly means to dance in the moment as a coach and leader. Through deep curiosity, intentional listening, and the power of storytelling, we unpack Emotional, Relational, and Strategic Intelligence in real time. We dive into the subtle push–pull of great coaching and why F.A.I.L. (Frequent Adventures in Learning) builds trust and growth. We also explore what makes a great coach: candid, courageous, and curious, meeting clients exactly where they are. About Cara-Lyn Giovanniello In the fast-paced world of modern business, Cara-Lyn understands the unique challenges of balancing agility, innovation, and scalability. Through her work as Founder and Principal Coach of C.L.G. Coaching and Consulting, and at the centre of her approach is The Art of Learned Intelligence™—a proprietary methodology designed to blend strategic thinking, emotional intelligence, and relational dynamics into actionable frameworks that drive personal and organisational growth. By integrating this methodology, she supports leaders and teams in cultivating clarity, adaptability, and intentional decision-making, even in the most high-pressure, fast-changing environments. Connect with Cara-Lyn Giovanniello Website: https://www.theartoflearnedintelligence.comLinkedIn: https://www.linkedin.com/in/cara-lyn-giovanniello-pcc/

In this episode, David joins us to talk about smart cities. He discusses the importance of digitally connected urban environments, their links with climate change, and gives us key examples from across the world. Find out the Smart Cities report here: https://www.globaldata.com/store/report/smart-cities-theme-analysis/Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themesHost: Martina Raveni (Senior Analyst, Strategic Intelligence)Guests: David Bicknell (Principal Analyst, Strategic Intelligence)

IN CLEAR FOCUS: George Swetlitz, co-founder of RightResponse AI, reveals why more people read consumer reviews than visit websites. He discusses utilizing AI-powered reputation management to transform unstructured data into strategic intelligence that outperforms simple star ratings. Learn how personalized automation can triple review conversions, optimize multi-location operations, why "fake personalization" fails, and how to transform customer reviews into actionable marketing strategies.

In this episode, Holly, Xander, and Sophie discuss the climate risks facing the industrials sector. They delve into the strategies that the automotive and mining industries can use to stay resilient against climate change.  Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/ To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themes Host: Martina Raveni (Senior Analyst, Strategic Intelligence)Guests: Holly Anness-Bradshaw (Analyst, Strategic Intelligence), Xander Hartley (Associate Analyst, Strategic Intelligence) and Sophie Gallagher (Associate Analyst, Strategic Intelligence)

In this special in-person interview, Jim Rickards breaks down why the Trump administration is far more strategic than the media portrays, explaining the "flood the zone" tactic and Scott Bessent's "Three Arrows" approach to bringing down the debt-to-GDP ratio. Jim dismantles the popular "debasement trade" narrative, revealing that foreign central banks are not dumping Treasuries and that the real risk lies in the Eurodollar market and the $1 quadrillion derivatives system underpinning global finance. He warns that stablecoins are quietly hoarding Treasury bills needed for collateral — and the risk of fraud waiting to blow up. On gold, Jim explains why $5,000 is just the beginning, making the case for $10,000 to $25,000 based on historical precedent from the 1970s when the dollar lost 94% of its value measured in gold. He also offers a bold prediction: the potential breakup of NATO as geopolitical alliances fracture under pressure. More about Rickards: Rickards is a New York Times bestselling author of Currency Wars: The Making of the Next Global Crisis and several other best-sellers, including The New Great Depression, Aftermath, The Road to Ruin, Death of Money, The New Case for Gold, Sold Out: How Broken Supply Chains, Surging Inflation, and Political Instability Will Sink the Global Economy, and his newest book MoneyGPT: AI and the Threat to the Global Economy. An investment advisor, lawyer, inventor, and economist, Rickards has held senior positions at Citibank, Long-Term Capital Management, and Caxton Associates. He is also the Editor of Strategic Intelligence, a widely-read financial newsletter. Links:  http://www.jamesrickardsproject.com/ https://x.com/RealJimRickardsTimestamps: 0:00 Intro 2:33 Why the second Trump term is different from the first 5:25 The Heritage Foundation and Project 2025 6:45 Executive orders and legislative wins 8:20 Federal courts and the Supreme Court battles 9:49 The economy: Is it really chaos? 11:32 The national debt: Why $39 trillion isn't the number to watch 13:45 The debt-to-GDP ratio explained 15:30 The Keynesian multiplier and diminishing returns 17:38 How we fixed the debt ratio after WWII (1945-1980) 18:36 Scott Bessent's "Three Arrows" strategy 19:19 The debasement trade: Why it's a false narrative 21:15 Are foreign central banks dumping Treasuries? (No) 23:15 What triggers a financial panic 24:45 How the Fed actually "prints money" 26:30 The Eurodollar market: Where real money comes from 28:00 The $1 quadrillion derivatives market 30:15 Stablecoins: The hidden risk in crypto 33:24 Tether's commercial paper problem 35:37 Gold: Why it's really moving 37:45 The Russian asset freeze and its unintended consequences 42:26 Gold does well in deflation too 45:48 The first Pentagon financial war game (2009) 49:54 Gold's trajectory: $10,000 to $25,000 or higher 51:45 The 1970s: When gold went up 2,700% 55:30 Anchoring bias and why $1,000 jumps get easier 56:33 Jim Rogers on the 50% retracement rule 58:49 Silver: Precious metal meets industrial input 63:21 Bold prediction: The potential breakup of NATO 67:34 Parting thoughts: True diversification

As we near the close of 2025, it's a pivotal moment to reflect on this past year and the advances and changes that have impacted the industry. From the introduction of Golden Dome, expansion of Starlink's dominance, growth in Direct-to-Device (D2D) to sovereignty becoming a driving force for nation states—2025 has been a whirlwind. How will these trends shape 2026 and beyond? To help us break down the most significant happenings and provide expert insight into what it all means for our industry, we are joined by Chris Quilty, Co-CEO & President and Caleb Henry, Director of Research for Quilty Space, a global leader in space sector business intelligence.

The Annual Regulatory Oversight Report is one of FINRA's most valued resources for member firms—and this year, we're publishing it earlier than ever in response to member feedback. The 2026 Report features insights on cyber-enabled fraud, senior investor protection, generative AI, and much more. It also reflects our FINRA Forward commitment to empowering member firm compliance by sharing intelligence from across our Regulatory Operations.This episode features four FINRA leaders: Ornella Bergeron, Senior Vice President, Risk Monitoring, and Acting Head of Member Supervision; Bill St. Louis, Executive Vice President and Head of Enforcement; Feral Talib, Executive Vice President and Head of Market Oversight; and Bryan Smith, Senior Vice President and Acting Head of Strategic Intelligence. They discuss takeaways from the report, and how firms can leverage its effective practices and research to strengthen their compliance programs.Resources mentioned in this episode:2026 Regulatory Oversight ReportFINRA ForwardFINRA Crypto and Blockchain Education ProgramBlog Post: FINRA Forward's Rule Modernization—An UpdateBlog Post: Vendors, Intelligence Sharing and FINRA's MissionBlog Post: FINRA Forward Initiatives to Support Members, Markets and the Investors They ServeSEC Regulation Best Interest (Reg BI)5310. Best Execution and InterpositioningEp. 168: Investing Wisely in 2025: Avoiding Scams and Achieving Your Financial GoalsEp. 173: Vendor Vigilance: Navigating Third-Party RiskEp. 177: Previewing FINRA's Crypto and Blockchain Education ProgramEp. 180: Building Cybersecurity Resilience Through FINRA Forward Find us: LinkedIn / X / YouTube / Facebook / Instagram / E-mailSubscribe to our show on Apple Podcasts, Google Play and by RSS.

In this episode, members of GlobalData's Strategic Intelligence team discuss their biggest ESG predictions for 2026, delving into the future of small modular reactors, the anti-ESG movement, and much more.Read our Tech Predictions 2026 report here: https://www.globaldata.com/store/report/tech-predictions-theme-analysis/For our Disruptor clients, read it here: https://disruptor.globaldata.com/Analysis/details/strategic-intelligence-tech-predictions-2026Find us on LinkedIn: https://www.linkedin.com/company/globaldatastrategicintelligence/To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themesHost: Martina RaveniGuests: Megan Jenkins and Holly Anness-Bradshaw

In this episode, members of GlobalData's Strategic Intelligence team discuss their biggest tech predictions for 2026, delving into the future of AI, chips, quantum, cybersecurity, and crypto.Read our Tech Predictions 2026 report here: https://www.globaldata.com/store/report/tech-predictions-theme-analysis/For our Disruptor clients, read it here: https://disruptor.globaldata.com/Analysis/details/strategic-intelligence-tech-predictions-2026Find us on LinkedIn: https://www.linkedin.com/company/globaldatastrategicintelligence/To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themes Host: Carolina PintoGuest: Isabel Al-Dhahir, Bill Rojas, David Bicknell, and Suneet Muru

This episode features speakers from the 2025 ADSA Opening Session Panel: Designing Dairy 2045—Envisioning the Future of Cows, Dairy Products, and Farms, which explored the long-term future of dairy.Dr. VandeHaar explains the idea behind creating the panel discussion for the opening session and his selection of the other three podcast guests as panel members. (2:02)Dr. Baes was the genomics expert on the panel. Her talk focused on what types of data have been collected on dairy cattle in the past and in the future, as well as the collaboration needed among different disciplines to ensure the right information is being collected in the appropriate way. (4:54)Dr. Hostens was the data analytics expert on the panel. He is a veterinarian by training, but has a strong interest and passion around big data. He notes that a “gut feeling is good, but data is better.” He talks about a project where an existing language model was trained with all Journal of Dairy Science abstracts since 1917 so that answers from chatbots would be fed by JDS knowledge. He talks about other ways this type of approach could be used in the future to provide answers to questions on-farm. (8:09)Eve is the Senior Vice President of Strategic Intelligence at DMI and was the food futurist expert on the panel. She notes that dairy's image is shifting to that of a health and wellness food. The question then becomes what is the future of health and wellness, and what does the dairy industry need to do to build towards that future? She talks about the roles of data and artificial intelligence in enabling us to design the foods of the future tailored to each individual. She advises that knowing more about your product than anyone else on the planet through technology and science allows you to anticipate what consumers are going to want and need in the future.   (14:33)The panel talks about genetic selection to produce particular components “naturally” rather than through food processing, where the industry is headed in regard to total milk production, breeding dairy cows for health, providing tools for making wise use of resources especially in developing countries, and how the future of big data could impact decisions made on-farm. (20:12)Eve talks about the consumer who has (processed) collagen in their coffee each morning but also demands clean, whole foods. Consumers want it all. She envisions a future where consumers will know the truth about how foods work in their body because they'll have the technology to measure it. The group goes on to talk about wearable technology like continuous glucose monitors and the variability that exists in the human population compared to variation in Holstein cows, for example. (35:05)The guests talk about where the gaps are in technology - what else do we need to take the next step? Dry matter intake might be one, but Dr. Baes notes that the Danish have technology through video of the feed bunk that allows them to predict intake with surprisingly high accuracy. (41:59)Panelists share their take-home thoughts. (47:07)Please subscribe and share with your industry friends to invite more people to join us at the Real Science Exchange virtual pub table.  If you want one of our Real Science Exchange t-shirts, screenshot your rating, review, or subscription, and email a picture to anh.marketing@balchem.com. Include your size and mailing address, and we'll mail you a shirt.

In this episode, Emma discusses her latest report on biotechnology. She talks about the impact AI is having on the development of biotechnology and what this means for thehealthcare sector.  Biotechnology report here: https://www.globaldata.com/store/report/biotechnology-thematic-research/ Find us on LinkedIn:  https://www.linkedin.com/company/globaldatastrategicintelligence/To find out more about Strategic Intelligence: https://globaldata-26632421.hs-sites-eu1.com/themes Host: Romilly Leech (Analyst, Strategic Intelligence, GlobalData)Guests: Emma Sturdee (Analyst, Strategic Intelligence, GlobalData)

In this thought-provoking episode of Cause & Purpose, data scientist and impact strategist Andrew Means joins Mike Spear to expose critical gaps in how the social sector uses data and evaluation. Drawing from his vast experience in the sector, Andrew reveals how many nonprofits are "flying blind"—lacking even basic data infrastructure to make strategic decisions. He shares practical frameworks like the "data hierarchy of needs" and emphasizes that data democratization, not expensive consultants, is the key to transformation. The discussion evolves into a broader critique of traditional philanthropy and a vision for evidence-based giving. Andrew explains why he joined Altruous as an advisor, seeing it as uniquely positioned to bridge the gap between oversimplified ratings and inaccessible academic research. He emphasizes that with potential government funding cuts ahead, organizations that can prove their impact through data will thrive while others struggle. Throughout, both hosts challenge the sector's resistance to general operating support, overhead myth, and top-down funding approaches. The episode concludes with Andrew's compelling case for transparency, acknowledging uncertainty in evaluations, and focusing on the only metric that truly matters: whether beneficiaries are actually better off.

Nataliya Bugayova is a non-resident Russia Fellow at ISW. Nataliya previously led ISW's Russia research team where she helped build the analytical framework that serves as the foundation for ISW's in-depth reporting on Russia. Her analytical work focuses on the Kremlin's decision-making, information operations, and global campaigns from Ukraine to Africa. She also serves as the Director of Strategic Intelligence at Babel Street – a US OSINT technology company and an ISW technology partner. At Babel Street, Nataliya optimizes data and technology for national security analysis of key capabilities of US adversaries. Before ISW, she worked on reform efforts in Ukraine in several roles. She was the Chief Executive Officer of the Kyiv Post, then Ukraine's only independent English-language publication. She also served as the adviser on international technical cooperation to a former Ukrainian Economy Minister, appointed after the pro-democracy Euromaidan Revolution in February 2014.Ms. Bugayova is the author of “How We Got Here with Russia: The Kremlin's Worldview” and “Putin's Offset: The Kremlin's Geopolitical Adaptations Since 2014.” She has been a trusted voice on Russia's war on Ukraine and Russia's operations globally. Her insights have been featured in Foreign Policy, Fox News, PBS NewsHour, CNN, NBC News, The Hill, BBC. She has testified in the US Congress and the European Parliament. She regularly briefs US military and civilian leaders. Ms. Bugayova holds a master's in public policy from Harvard Kennedy School, where she was a student fellow at the Belfer Centre for Science and International Affairs.----------LINKS: https://understandingwar.org/people/nataliya-bugayova/https://x.com/nataliabugayova?lang=enhttps://hertogfoundation.org/staff/nataliya-bugayovahttps://www.thecipherbrief.com/experts/nataliya-bugayovaBRAVE1Defense Tech Innovations - Defense and Space Manufacturing https://x.com/BRAVE1uahttps://www.linkedin.com/company/brave1ukraine/posts/?feedView=all----------SUPPORT THE CHANNEL:https://www.buymeacoffee.com/siliconcurtainhttps://www.patreon.com/siliconcurtain----------TRUSTED CHARITIES ON THE GROUND:Save Ukrainehttps://www.saveukraineua.org/Superhumans - Hospital for war traumashttps://superhumans.com/en/UNBROKEN - Treatment. Prosthesis. Rehabilitation for Ukrainians in Ukrainehttps://unbroken.org.ua/Come Back Alivehttps://savelife.in.ua/en/Chefs For Ukraine - World Central Kitchenhttps://wck.org/relief/activation-chefs-for-ukraineUNITED24 - An initiative of President Zelenskyyhttps://u24.gov.ua/Serhiy Prytula Charity Foundationhttps://prytulafoundation.orgNGO “Herojam Slava”https://heroiamslava.org/kharpp - Reconstruction project supporting communities in Kharkiv and Przemyślhttps://kharpp.com/NOR DOG Animal Rescuehttps://www.nor-dog.org/home/----------

Are you ready to uncover the secrets behind a mystery novel inspired by real military experiences? Join us for episode 254 of Late Boomers as Merry and Cathy sit down with Darrell Berry, a retired Army officer and author of "Early This Morning." We dive into Darrell's fascinating journey from Vietnam draftee to military intelligence officer during the "Don't Ask, Don't Tell" era. Discover how his experiences as a gay man in the military shaped his writing and explore the themes of his novel. Plus, get a sneak peek into his future projects! Tune in for an episode filled with intrigue and inspiration.Darrell Berry's Bio:I am 75 years old, a native of Texas, and retired from the Army after 22 and a half years. BA in Psychology, MA in Human Resources and Post-Grad Diploma in Strategic Intelligence from the Defense Intelligence College. This is my first mystery novel. Connect with Darrell:Website: https://dberrybooks.com/Thank you for listening. Please check out @lateboomers on Instagram and our website lateboomers.us. If you enjoyed this podcast and would like to watch it or listen to more of our episodes, you will find Late Boomers on your favorite podcast platform and on our new YouTube Late Boomers Podcast Channel. We hope we have inspired you and we look forward to your becoming a member of our Late Boomers family of subscribers.

About the Lecture: China's espionage activities are changing the global balance of power, impacting the U.S. and foreign economies, and providing challenges to domestic, national security, and foreign policy formulation. China's "whole of society" intelligence approach provides a sophisticated and expanding global reach to target individuals for recruitment and collection. This briefing analyzes more than 865 cases of Chinese espionage operations and tactics including espionage, economic espionage, covert action, and illegal exports of technology. The briefing identifies tradecraft methodologies, recruitment motivations, and key indicators. About the Speaker: Nicholas Eftimiades is a professor of homeland security at Penn State University. He retired from the US Department of Defense in 2017. His 34 year government career includes employment in CIA, as a Special Agent in the US Department of State, Bureau of Diplomatic Security, and a Senior Intelligence Officer in Defense Intelligence Agency. Mr. Eftimiades held positions in analysis, human and technical intelligence collection, and leadership. He served overseas for 10 years. Mr. Eftimiades is recognized as a leading authority on China and its espionage activities. His book Chinese Intelligence Operations was the first ever scholarly examination of the structure, operations, and methodology of the intelligence services of the People's Republic of China. His recent book Chinese Espionage: Operations and Tactics (Second Edition) updates that work and is the most detailed account ever published on China's intelligence operational tradecraft. Eftimiades testified numerous times before Congress, as a certified expert in US courts, and advises government agencies and private industry. Nick is a frequent lecturer and public speaker on China and national security issues. He has appeared as an expert on dozens of television and radio broadcasts. He has been quoted in hundreds of newspapers and magazines across the world. He has taught over 1,000 US government counterintelligence officers and commercial industry insider threat specialists. Mr. Eftimiades has an M.S. Strategic Intelligence, National Defense Intelligence College, and a B.A. East Asian Studies, George Washington University. He has lived and studied in Asia for five years. Mr. Eftimiades held senior appoints on the DoD Defense Science Board, DHS Homeland Security Advisory Council/Economic Security Subcommittee, and as an Intelligence Community Associate for the National Intelligence Council. Eftimiades was also a Senior Research Fellow for six years at King's College War Studies Department, London UK.

A daily Chronicle of AI Innovations in July 2025: July 08th 2025Read Online | Sign Up | Advertise | AI Builder's ToolkitHello AI Unraveled Listeners,In today's AI Daily News,

Today Justin sits down with Dr. Paul H. Smith. Paul is a retired Army intelligence officer and a veteran of Operation Desert Storm. He has a Bachelor of Arts degree in Middle Eastern Studies from Brigham Young University, a Master of Science degree in Strategic Intelligence from the Defense Intelligence College, and a Doctorate from the University of Texas at Austin. He's also the president of Remote Viewing Instructional Services Incorporated, and Vice President of the Nonprofit International Remote Viewing Association. He's here to discuss the seven years he spent in the Department of Defense's Remote Viewing Program, where he served as an operational remote viewer, theory instructor, security officer, and unit historian.Connect with Paul:rviewer.comCheck out the book, Reading the Enemy's Mind, here.https://a.co/d/3YT0zppAnd check out The Essential Guide to Remote Viewing here.https://a.co/d/3bbftW3Connect with Spycraft 101:Get Justin's latest book, Murder, Intrigue, and Conspiracy: Stories from the Cold War and Beyond, here.spycraft101.comIG: @spycraft101Shop: shop.spycraft101.comPatreon: Spycraft 101Find Justin's first book, Spyshots: Volume One, here.Check out Justin's second book, Covert Arms, here.Download the free eBook, The Clandestine Operative's Sidearm of Choice, here.Support the show

Elliot Berman and Jeff Fischer explore how financial institutions can transform risk assessments from a regulatory obligation into a powerful decision-making tool. They discuss tailoring assessments for different stakeholders, avoiding internal risk gaps, and ensuring a scalable, story-driven process that aligns with an organization's size, complexity, and risk appetite.

In this episode of the Washington AI Network Podcast, Tammy Haddad is joined by Ylli Bajraktari, CEO of the Special Competitive Studies Project, for a conversation on U.S. AI strategy, national security, and the global tech race. Bajraktari previews the 2025 AI Expo in Washington, DC, including new national security programming, China's AI ambitions, Trump's recent Middle East trip, and why AI has become central to U.S. foreign policy and defense.

Jim Rickards returns to The Julia La Roche Show to discuss "MAGAnomics" - the multi-faceted economic strategy of the Trump administration. Rickards explains the three-legged stool of Trump's economic policy: Bessent's 3-3-3 Plan, Navarro's tariff strategy, and Miran's "Mar-a-Lago Accord." He warns of a potential "time bomb" in the financial system if Treasury Bills are swapped for 100-year bonds, discusses why central banks are racing to buy gold, and explains why the current gold rally is "just getting started." Rickards also shares his market outlook, predicting continued market decline and potential recession before long-term economic gains can be realized. This episode is sponsored by Monetary Metals. Visit monetary-metals.com/julia More about Rickards: Rickards is a New York Times bestselling author of Currency Wars: The Making of the Next Global Crisis and several other best-sellers, including The New Great Depression, Aftermath, The Road to Ruin, Death of Money, The New Case for Gold, and his newest book Sold Out: How Broken Supply Chains, Surging Inflation, and Political Instability Will Sink the Global Economy. An investment advisor, lawyer, inventor, and economist, Rickards has held senior positions at Citibank, Long-Term Capital Management, and Caxton Associates. He is also the Editor of Strategic Intelligence, a widely-read financial newsletter. Links: https://www.amazon.com/MoneyGPT-AI-Threat-Global-Economy/dp/0593718631http://www.jamesrickardsproject.com/ https://x.com/realjimrickards0:00 - Intro and welcome Jim Rickards 1:04 - Big picture 3:01 - Tariff strategies and market impact4:49 - Auto industry specifics and tariff implications6:50 - Discussion on economic principles and strategies11:05 - Geopolitical impacts of oil pricing13:17 - How tariffs work in practice15:27 - Benefits of tariffs and job creation in the US16:50 - Economic agreements and strategies27:11 - Treasury strategies and fiscal policies30:07 - Federal land resources and economic opportunities31:27 - U.S. financial stability and government strategies33:26 - Dynamics of U.S. Treasury securities35:34 - Importance of Treasury bills in global finance38:32 - Necessity of short-term Treasury bills39:58 - Discussion on U.S. dollar and trade policies42:37 - Globalization and economic policies44:02 - Assessment of current economic moves45:25 - Gold market dynamics and central bank activities48:49 - Geopolitical strategy using economic tools51:13 - Global gold demand and production53:45 - Market psychology and gold pricing 54:15 - Future prospects of gold market 55:10 - Economic forecasts and stock market trends 58:05 - Interest rate policies and economic implications 59:38 - Final thoughts and where to find Jim Rickards' work

As the financial industry continues to evolve, it's important to stay ahead of emerging risks and trends. On this episode of FINRA Unscripted, the leaders of FINRA's new Strategic Intelligence and Analytics (StratIntel) team discuss how they are working to identify and analyze these industry developments.On this episode, we sit down with the leaders of the StratIntel team: Senior Vice President of Data and Analytics for Member Supervision Jim Reese, and his two Vice Presidents, Brita Bayatmakou and Clint Johnson. The three share insights on how this new team is evolving FINRA's approach to intelligence gathering and risk monitoring, and the innovative ways they are using data and analytics to support FINRA's mission of investor protection and market integrity.Resources mentioned in this episode:2025 Regulatory Oversight Report3110. SupervisionEpisode 168: Investing Wisely in 2025: Avoiding Scams and Achieving Your Financial GoalsEpisode 169: Unpacking FINRA's 2025 Regulatory Oversight Report Find us: X / YouTube /LinkedIn / Facebook / E-mail

Conversations in Close Protection – Shop Talk January 2025, the team breaks down the critical security developments shaping the corporate and global landscape. We examine the tragic UnitedHealthcare incident and its implications for executive protection, the evolving role of security leadership in corporate governance, and the increasing complexity of cybersecurity threats in 2025. There is also discussions on the impact of SEC disclosure requirements on executive security, the shifting landscape of Directors & Officers (D&O) insurance, and key insights from the WEF Global Risks Report 2025, including geopolitical instability, disinformation, and environmental challenges. Join CiCP as they analyze the risks, challenges, and strategies that security professionals must navigate to stay ahead in an increasingly volatile world.    Email us at protectiontalk@outlook.com UnitedHealth Lost $63 Billion in Value Amid CEO Security Concerns Should the SEC Revisit Executive Security Perquisite Disclosure? What to Expect from Cybersecurity Threats in 2025 Should the SEC Revisit Executive Security Perquisite Disclosure? New Year, New D&O Risks Summary of Key Risks

Jim Rickards returns to the podcast for episode 210 to discuss the 2024 election results, his outlook for the economy and why he sees a recession in the near term followed by a great recovery, and his warning on artificial intelligence. ✨ This episode is sponsored by Public.com. https://public.com/julia ✨ Paid endorsement for Public Investing, Inc. Not investment advice. All investing involves the risk of loss, including loss of principal. Brokerage services for US-listed, registered securities, options and bonds in a self-directed account are offered by Public Investing, Inc., member FINRA & SIPC. Public Investing offers a High-Yield Cash Account where funds from this account are automatically deposited into partner banks where they earn interest and are eligible for FDIC insurance; Public Investing is not a bank.  Treasury accounts offering 6 months T-Bills are offered by Jiko Securities, Inc.,member FINRA & SIPC. Securities in your account are protected up to $500,000. For details: www.sipc.org. Banking services and the Bank Accounts are provided by Jiko Bank, a division of Mid- Central National Bank. For U.S. Investments in T-bills: Not FDIC Insured; No Bank Guarantee; May Lose Value. Treasuries risk disclosures, see https://jiko.io/docs/treasuries_risk_disclosure.pdf. See public.com/#disclosures-main  A Bond Account is a self-directed brokerage account with Public Investing, member FINRA/SIPC and includes 10 investment-grade and high-yield bonds. As of [11/08/24], the average, annualized yield to worst (YTW) across all ten bonds is greater than 6%. A bond's YTW is not “locked in” until the bond is purchased and is not guaranteed; you may receive less than the YTW of the bonds in the Bond Account if you sell any of the bonds before maturity or if the issuer defaults on the bond. While corporate bond yields should fall in reaction to a Federal Reserve rate cut, there is no way to know whether that will be true of the bonds in the Bond Account, how quickly bond yields will respond, or by how much they will decline. Bond Accounts are not recommendations of individual bonds or default allocations. The bonds in the Bond Account have not been selected based on your needs or risk profile. All investing involves risk. Public Investing charges a markup on each bond trade. Visit public.com/bond-account to learn more More about Rickards: Rickards is a New York Times bestselling author of Currency Wars: The Making of the Next Global Crisis and several other best-sellers, including The New Great Depression, Aftermath, The Road to Ruin, Death of Money, The New Case for Gold, and his newest book Sold Out: How Broken Supply Chains, Surging Inflation, and Political Instability Will Sink the Global Economy.  An investment advisor, lawyer, inventor, and economist, Rickards has held senior positions at Citibank, Long-Term Capital Management, and Caxton Associates. He is also the Editor of Strategic Intelligence, a widely-read financial newsletter. Links:   https://www.amazon.com/MoneyGPT-AI-Threat-Global-Economy/dp/0593718631 http://www.jamesrickardsproject.com/ https://twitter.com/JamesGRickards

Rich welcomes Rep. Claudia Tenney (R-NY) to discuss Trump's performance in New York and the next steps for the new administration. Then we look into national security policies and the international issues awaiting President-elect Trump with Brigadier General (Ret.) Blaine Holt, co-founder of Restore Liberty. Later, James Rickards, editor of the "Strategic Intelligence" financial newsletter talks about the economy as well as his book "MoneyGPT: AI and the threat to the Global Economy." Learn more about your ad choices. Visit podcastchoices.com/adchoices

Today Justin sits down with William Boik. Bill served in the U.S. Army and Army Reserve for more than 30 years before retiring in 2005  at the rank of colonel. Over the course of his military career, he served in various positions in the armor branch and in military intelligence in South Korea, Germany and the U.S. From  2001 to 2018, Bill was a senior civilian at the Defense POW MIA Office, later known as the Defense POW MIA Accounting Agency, first as the Director of Global Affairs and then as a Senior Plans Officer. Among his roles at the  defense POW MIA Accounting Agency were serving as the POW MIA advisor to the U.S. ambassador to Kuwait and serving as the DOD representative to the Gulf war tripartite commission, which would meet in Geneva, Switzerland. Bill retired in 2018 with 43 years of government service. He has Master's degrees in International Relations, Strategic Intelligence, and Strategic Security Studies, and is currently a Doctoral Candidate at Georgetown University for International Relations. He is an author of two books as well. In this interview, Bill discusses two incredibly unique missions he performed in 2001 and 2002, when he led teams into North Korea to recover the remains of U.S. personnel still missing in action from the Korean War. During each of these month long recovery missions, Bill was the senior U.S. government official in Pyongyang, North Korea. Bill is not speaking as an official representative of any government agency or organization and only as an individual.Connect with Bill:usedmilitarybooks.comCheck out Bill's book on North Korean medals and decorations here.https://a.co/d/8GnXuoHConnect with Spycraft 101:Get Justin's latest book, Murder, Intrigue, and Conspiracy: Stories from the Cold War and Beyond, here.spycraft101.comIG: @spycraft101Shop: shop.spycraft101.comPatreon: Spycraft 101Find Justin's first book, Spyshots: Volume One, here.Check out Justin's second book, Covert Arms, here.Download the free eBook, The Clandestine Operative's Sidearm of Choice, here.Support the Show.

Bruce Klingner is a Senior Fellow at the Heritage Foundation and an expert on South Korea and North Korea. He discusses the recent developments in the relationship between the United States and South Korea, including the Washington declaration and the NATO summit. He also explores the topic of South Korea's potential nuclearization and the level of understanding and education on nuclear issues. The conversation touches on the concerns of entanglement and abandonment, the impact of South Korea building its own nuclear arsenal, and the possibility of the return of U.S. nuclear weapons to the Korean Peninsula. Klingner emphasizes the importance of the U.S. affirming its commitment to its treaty obligations and maintaining current force levels on the peninsula. He also discusses the need for improved relations between South Korea and Japan, greater security cooperation in the region, and South Korea's role in addressing transgressions by China and Russia.Klingner's analysis and writing about North Korea, South Korea and Japan, as well as related issues, are informed by his 20 years of service at the Central Intelligence Agency and the Defense Intelligence Agency. Klingner, who joined Heritage in 2007, has testified before the House Foreign Affairs Committee, the Senate Select Committee on Intelligence and the House Permanent Select Committee on Intelligence.He is a frequent commentator in U.S. and foreign media. His articles and commentary have appeared in major American and foreign publications and he is a regular guest on broadcast and cable news outlets. He is a regular contributor to the international and security sections of The Daily Signal.From 1996 to 2001, Klingner was CIA's Deputy Division Chief for Korea, responsible for the analysis of political, military, economic and leadership issues for the president of the United States and other senior U.S. policymakers. In 1993-1994, he was the chief of CIA's Korea branch, which analyzed military developments during a nuclear crisis with North Korea.Klingner is a distinguished graduate of the National War College, where he received a master's degree in National Security Strategy in 2002. He also holds a master's degree in Strategic Intelligence from the Defense Intelligence College and a bachelor's degree in Political Science from Middlebury College in Vermont.Chapters00:00 Introduction and Background05:29 The Growing Discussion on South Korea's Nuclearization09:13 The Need for Education and Transparency on Nuclear Issues14:49 Affirming Commitment and Maintaining Force Levels18:01 Improving Relations with Japan and Increasing Security Cooperation22:24 South Korea's Role in Addressing Transgressions by China and RussiaSocials:Follow on Twitter at @NucleCastFollow on LinkedIn: https://linkedin.com/company/nuclecastpodcastSubscribe RSS Feed: https://rss.com/podcasts/nuclecast-podcast/Rate: https://podcasts.apple.com/us/podcast/nuclecast/id1644921278Email comments and topic/guest suggestions to NucleCast@anwadeter.org

Jim Rickards returns to the podcast for episode 185 to discuss the macro view and political turmoil in the U.S., including the attempted assassination of former President Trump. This episode was recorded on July 18. Rickards is a New York Times bestselling author of Currency Wars: The Making of the Next Global Crisis and several other best-sellers, including The New Great Depression, Aftermath, The Road to Ruin, Death of Money, The New Case for Gold, and his newest book Sold Out: How Broken Supply Chains, Surging Inflation, and Political Instability Will Sink the Global Economy. An investment advisor, lawyer, inventor, and economist, Rickards has held senior positions at Citibank, Long-Term Capital Management, and Caxton Associates. He is also the Editor of Strategic Intelligence, a widely-read financial newsletter. Links: http://www.jamesrickardsproject.com/ https://twitter.com/JamesGRickards Timestamps: 00:00 Introduction and overview 05:46 The current political landscape and global events 16:49 Trump's path to victory 22:27 Internal dynamics within the Democratic Party 26:26 Discussions of a virtual roll call for Biden's nomination 31:03 Biden withdrawing and Harris becoming the nominee 35:11 The landmine of Congress certification in 2025 50:47 The path towards a recession 56:34 The stock market bubble and concentration risk 59:33 AI

FINRA's Financial Intelligence Unit acts as a nerve center for information on emerging threats impacting the financial industry with the aim of providing actionable intelligence to firms, other regulators and law-enforcement to keep investors safe. On this episode, Blake Snyder, senior director of FIU, joins us to share how the group has grown and matured over the last few years and how they are evolving the way they share information, including through the introduction of the new Threat Intelligence Products, or TIPs.Resources mentioned in this episode:Episode 33: AML in the Securities IndustryEpisode 86: Introducing FIUTIP: Protecting Vulnerable Adult and Senior InvestorsInvestor Insight: Pig Butchering ScamsInvestor Insight: Ramp-and-Dump ScamsRegulatory Notice 22-25National Cyber-Forensics and Training Alliance (NCFTA)InfraguardFIU@finra.org Find us: X / Facebook / LinkedIn / E-mail