Podcasts about ai20

Big Tech is playing with fire, and the legal system is finally reaching for the extinguisher. This week, we're taking on AI accountability, sparked by a landmark Pennsylvania lawsuit against a chatbot for practicing medicine without a license.Is this the tipping point for regulation, or just another glitch in the matrix? Also, learn why a new form of candy may literally be music to your ears.Chapters00:00 Accountability in AI06:31 Slow Progress in Regulation13:13 Legal Accountability and AI20:19 Innovative Technology26:10 Closing Remarks

What if the real risk of AI in schools isn't that it cheats - it's that it quietly switches off the parts of our brains we need most? In this episode, we sit down with Dr. Rob Wessman, VP of Ethics and Safety at School AI, to dig into one of the most important questions in education right now: are we building AI tools that develop young people, or tools that do the developing for them? With a background as a high school English teacher, school administrator, and Harvard EdLD graduate, Rob brings a genuinely human lens to the world of edtech and a compelling case for why getting this right matters more than getting it fast. We cover:- The MIT study that showed students struggling to think for themselves after outsourcing their essays to AI- Why School AI's research shows a 28% boost in higher-order reasoning - and how design makes the difference- The deskilling risk hiding in plain sight (and what endoscopy doctors can teach us about it)- Why banning AI in schools may be more dangerous than letting students use it unsupervised- The "agency with guardrails" challenge: how do you build tools that protect without limiting?- What Singapore's education ministry gets right — and why we should be paying attention- Why School AI removed their cute avatar and what it says about human-AI honesty Whether you're a school leader trying to make sense of AI policy, an educator worried about what students are losing, or just someone who wants the tech to actually serve learning, we think you'll like this one! Chapters0:00 Introductions02:35 Rob Wessman's Background in Education05:16 Rob's Role at School AI and Its Mission08:45 Designing AI to Promote Critical Thinking12:05 Safety Guardrails and Ethical Use of AI14:03 MIT Study on De-skilling and AI Risks17:00 Boosting Higher-Order Reasoning with AI20:27 Supporting Teachers and Human Connection24:09 Legislation and Societal Concerns about AI28:15 Educating About AI and Its Risks32:47 Future Directions and Responsible AI Design40:37 What Remains Human in Education?43:31 Closing Remarks Read the research around SchoolAI and Critical ThinkingFind out more about SchoolAICheck out all things Edufuturists

Ozzie Brito, AI Productivity Specialist at Vistatec, shares what it takes to scale AI in enterprise environments. This episode goes beyond buzzwords to focus on the operational reality of AI, covering workflows, governance, trust, and the emerging “corporate brain.”00:00 - Ozzie Brito, AI Productivity Specialist01:30 - What Does an AI Productivity Specialist Actually Do?03:21 - Why Companies Struggle to Scale AI06:32 - The Role of Humans in AI Workflows10:23 - Upskilling for the AI-Driven Future12:33 - The Importance of Clean and Contextual Data16:39 - Prompting vs System Design in AI20:25 - The Shift from Tools to CapabilityAbout VistaTalks: VistaTalks has an incredible lineup of guests from around the globe. We love to feature interesting discussions with interesting people from all around the world. Follow VistaTalks on Spotify for all the latest episodes, or subscribe to the show on Apple and Google podcasts. VistaTalks is available on many other podcast platforms. To learn more about VistaTalks, please visit https://www.vistatalks.com Social Media: X - https://x.com/vistatalks Facebook - / vistatalks Instagram - / vistatalks LinkedIn - / vistatalks

Podcast: Tech Transformed podcastGuest: John Newton, Chief Innovation Strategist at HylandHost: Dana Gardner, President and Principal Analyst at Interabor SolutionsEnterprise leaders rushing to integrate artificial intelligence (AI) into their operations often think the biggest challenge is the technology itself. In reality, the issue is much closer to home. It's in the piles of unstructured enterprise data spread across documents, systems, and repositories.In the recent episode of the Tech Transformed podcast, John Newton, Chief Innovation Strategist at Hyland, sits down with host Dana Gardner, President and Principal Analyst at Interabor Solutions. They discussed how enterprises can unlock the full value of enterprise AI by addressing fragmented information and building stronger governance frameworks.Their conversation highlights that unstructured data is not an obstacle; it is the foundation for next-generation AI-driven productivity. As Newton stated, “The opportunity to truly use AI and use it effectively in your organisation really depends on that unstructured information.”For companies looking to adopt AI on a large scale, the real work is in organising and contextualising their internal knowledge.Is Unstructured Data the Hidden Fuel for Enterprise AI?Most enterprise data does not sit neatly in structured databases. Instead, it exists in contracts, reports, emails, videos, policies, and operational documents, creating a vast amount of unstructured content.The enormous amount of such unstructured data ends up creating a challenge for AI projects that rely solely on foundation models. Large language models (LLMs) may be trained on public data, but they cannot inherently access proprietary business intelligence.Newton argued that enterprise AI must therefore be built around internal knowledge systems. “Foundation models can't train on your internal information,” he explained. “What you really want is that information to be part of the AI when you're answering questions, doing research, or executing business processes.”This change requires organisations to rethink how information flows across the enterprise. Instead of isolated systems—CRM platforms, ERP databases, content repositories—companies need an interconnected information structure that connects multiple sources in real time.Such a structure enables AI systems and AI agents to find the right data at the right time. This also improves decision-making, automation, and operational intelligence.How to Reorganise Chaotic Unstructured Data?If unstructured data is the fuel, curation is the engine that drives effective AI. Newton emphasised that an enterprise data strategy must start with mapping, organising, and cleaning information assets. The aim is to reduce noise and increase clarity.“I like to look at things from a signal-to-noise perspective,” Newton says. “Curation is the key to removing uncertainty in the information.”The method could typically comprise a combination of several enterprise technologies such as content management platforms with business process management (BPM) and AI agents and LLMs.A pairing of the above strategies is aimed at helping enterprise data become more valuable. Enterprises can implement AI models to automate workflows, enhance knowledge discovery, and speed up processes across departments—from finance and manufacturing to customer operations.Importantly, Newton noted that this work also allows flexibility in the AI ecosystem. With a solid information foundation, companies can use open-source models, hyperscaler services, or internal AI deployments without tying themselves to a single vendor.In other words, an enterprise AI strategy should first focus on data readiness, not model selection.Key TakeawaysUnstructured data is the foundation for effective enterprise AI.Data curation improves AI accuracy and reduces information noise.Connecting enterprise systems enables AI to deliver real-time insights.AI guardrails help manage security, compliance, and data governance.AI automation boosts employee productivity by reducing repetitive work.Chapters00:00 Unlocking AI's Potential with Unstructured Data05:20 Signal to Noise: The Clarity Challenge11:21 Guardrails for AI: Balancing Control and Flexibility14:41 Harnessing the Enterprise Context Engine17:48 Real-World Applications: Case Studies in AI20:37 Curation: The Key to Effective Automation22:21 Future Business Value: Productivity and BeyondFor more information, please visit hyland.comTo stay updated on B2B Tech front and centre, follow EM360Tech:YouTube: @enterprisemanagement360LinkedIn: @EM360TechX: @EM360TechFollow Hyland on all its major platforms:YouTube: @HylandAILinkedIn: HylandX: @Hyland#UnstructuredData #EnterpriseAI #DataCuration #AIGuardrails #LLMs #AIAutomation #FragmentedData #InformationManagement #SignalToNoise #EnterpriseContext #TechTransformedPodcast #Hyland #B2BTech

Podcast: Don't Panic! It's Just DataGuest: Adrian Estala, VP, Field Chief Data & AI Officer, StarburstHost: Shubhangi Dua, Podcast Producer, Host and B2B Tech Journalist, EM360Tech"AI is replacing BI,” stated Adrian Estala, VP and Field Chief Data & AI Officer at Starburst.When Shubhangi Dua, host of Don't Panic, It's Just Data, put the statement back to Estala, the tension was intentional. In enterprise tech, few systems are as ingrained as business intelligence (BI) dashboards. For two decades, they have been the common language of decision-making – static reports, polished charts, and visuals that meet compliance standards.However, Estala insists that the change isn't about removing dashboards. It's about staying relevant. “BI isn't going away,” he explains. “It's evolving.”How AI is replacing BI?A transformation to AI begins with something deceptively simple – a business semantic layer. Instead of forcing executives to understand data through IT-designed schemas, enterprises are creating context-rich data products using business language. A CFO sees finance terms, not table joins. A loans team sees portfolios, not pipelines.Once this foundation is established, teams can plug the same governed, reusable data product into their business intelligene (BI) tools. This leads to improved performance and consistency rises too.However, the growth doesn't stop here; businesses typically ask for more. When a conversational agent is added next to a legacy dashboard, using the same trusted data product, the behaviour changes quickly. Leaders start asking questions in natural language, exploring trends they have never charted before. They make forecasts in seconds and adjust their thinking while on the go.What was once a static reporting experience transforms into an interactive analytical dialogue. In one major bank, Estala recalls, a CEO challenged himself to avoid opening a dashboard for two weeks. He didn't need to; the agent managed everything for him.Also Watch: Are You Scaling Intelligence — or Just Scaling Errors?TakeawaysAI is replacing BI, but it's more about evolution than replacement.Organisations are moving towards data products for better analytics.Engaging business teams early is crucial for successful AI implementation.Conversational agents are transforming how teams interact with data.Data quality and governance are essential in the transition to AI.Business semantic layers help bridge the gap between IT and business needs.Organisations can achieve significant impact with AI in a short time.Don't wait for perfect architecture; start with a Pathfinder approach.Business teams can drive innovation when they understand their data.The future of data engagement lies in combining AI with traditional BI tools.Chapters00:00 The Evolution of BI to AI03:11 Understanding AI's Role in Business Intelligence14:44 Navigating the Transition to AI20:03 Ensuring Data Quality and Governance24:44 The Future of Data EngagementTo learn more about how data products and AI agents are changing enterprise analytics, follow:Starburst LinkedIn: @StarburstStarburst X: @starburstdataStarburst YouTube: @StarburstDataEM360Tech YouTube: @enterprisemanagement360EM360Tech LinkedIn: @EM360TechEM360Tech X: @EM360TechFollow: @EM360Tech on YouTube, LinkedIn and XStay connected for more expert insights, podcast episodes, and enterprise data strategy discussions.#AI #BI #AIvsBI #AIAgents #BusinessIntelligence #DataProducts #EnterpriseAnalytics #DataStrategy #Starburst #DontPanicItsJustData #AdrianEstala #ShubhangiDua #SemanticLayer #CIO #CDO #TechPodcast #DataGovernance #Dashboards

In This Episode of Business Lunch: We explore the dynamics of single person companies versus scaled organizations, the impact of AI on workforce and productivity, and strategic decisions for business growth in a rapidly evolving technological landscape.Chapters:00:00 Introduction and guest credentials00:15 Recent business and personal updates01:07 Elon Musk's prediction on trillion-dollar companies01:37 Single person companies and their growth potential02:07 Oracle layoffs and business efficiency02:51 Discussion on business culture and layoffs03:05 Should businesses aim to be single person companies?03:51 Balancing lean architecture and business scale04:21 Impact of layoffs on company size and efficiency05:18 AI's role in increasing productivity and profitability06:09 Revenue per employee as a key metric07:37 Profitability and competitive advantage with lean teams08:42 The importance of great teams in AI integration09:37 Leverage and productivity gains from AI10:35 Change management and AI implementation11:22 Performance levels and workforce evolution12:29 Business decisions on personnel and technology13:35 The role of AI in employee roles and management14:38 Upskilling and career progression in AI era15:38 The widening productivity gap with AI16:13 Big companies' strategic layoffs and AI17:01 Automation replacing roles and job functions17:59 Addressing automation and job displacement19:18 Flattening organizational structures with AI20:12 Roles that are truly replaced by AI21:20 Monitoring and oversight roles in AI-driven processes22:25 Opportunities for career advancement in AI-enabled companies23:47 The future of work and new job creation24:38 The trend of returning to human-centric activities25:16 The evolution of social media and in-person interactions26:04 Business decisions and the impact of AI on employment27:02 Focusing on practical AI solutions over bleeding-edge tech28:24 Avoiding distractions and focusing on effective AI use29:10 Closing thoughts and audience engagementConnect with me on social:TikTok: Check out my TikTok HereInstagram: Check out my Instagram HereFacebook: Check out my Facebook HereLinkedIn: Check out my LinkedIn HereSubscribe to my YouTube

Physical AI is arriving on factory floors ahead of schedule, and Vention is already deploying it on applications four automation integrators failed to crack.François Giguère, CTO of Vention, draws a precise line between agentic AI and physical AI. Agentic systems process data and return data. Physical AI controls motion and actuation that produce real world consequences on a factory floor where a hundred percent uptime is the only acceptable standard. Giguère has spent a decade helping build Vention, a platform that lets manufacturers design robotic cells in 3D, program them through natural language, simulate them in a browser, and receive the physical machine shipped in modular components like an industrial kit. With a team of 95 engineers and three years as CTO, he brings a grounded perspective on where AI delivers real value in industrial automation and where it still falls short.The design, automate, simulate workflow at Vention represents one of the most complete implementations of AI-powered machine engineering currently in production. In the design phase, customers build systems from a modular component library. In the automate phase, an AI agent converts natural language prompts into Python control code for the entire cell including robot arms, conveyors, vision systems, and grippers. The program is validated in simulation before a single component ships. This is made possible by Vention's motion streaming architecture: instead of treating the robot as the master controller the way KUKA KRL does, Vention brings all motion planning, inverse kinematics, forward kinematics, blending, and trajectory optimization into its own software stack. The robot becomes a passive component consuming a motion stream, and the entire machine becomes programmable from a single unified codebase that AI tools excel at generating. Giguère notes that Vention's choice to use Python as the programming language for automation control gives their AI tools a measurable edge over environments built on structured text or ladder logic.Vention's two physical AI products are GRIP (Generalized Robotics Intelligence Pipeline) and Rapid AI Operator, a modular bin picking application built on top of GRIP. The technology relies on transformer-based foundation models.About François GiguèreFrançois Giguère is the CTO of Vention, an industrial automation platform where manufacturers design, program, simulate, and deploy robotic systems entirely online. Employee number four at the company, he has contributed to Vention's growth for over 10 years and leads a team of 95 engineers. He holds a background in electrical engineering and real-time embedded software development.Learn more: https://vention.ioTimestamps0:00 Introduction and welcome1:00 François Giguère's background and Vention overview2:20 How AI spans Vention's internal tools and customer products4:00 Why embedded and robotics code is harder for AI to generate7:00 Design, automate, simulate: Vention's three-stage AI workflow13:50 Motion streaming: one unified controller for all robot brands18:20 Defining physical AI versus agentic AI20:10 GRIP pipeline and Rapid AI Operator22:40 Case study: MacAlpine Plumbing bin picking with foundation models39:40 Nvidia GTC impressions: agentic AI eclipsing physical AI46:20 Edge versus cloud: why real-time inference stays on-prem56:10 Predictions: physical AI roadmap and the VLA timelineThis episode is sponsored by:MaintainX helps maintenance and operations teams work smarter by putting critical information directly in the hands of technicians. According to MaintainX, technicians spend up to 40 percent of their time searching for answers and responding to radio calls rather than fixing assets.https://www.maintainx.comAbout Your HostsVladimir Romanov is a co-host of The Manufacturing Hub Podcast and the founder of Joltek, an independent manufacturing and industrial automation consulting firm specializing in modernization strategy, digital transformation, and workforce development.Connect with Vlad: https://www.linkedin.com/in/vladromanov/Want to go deeper? Vlad and the team at Joltek have covered related topics here:Industrial Robotics: https://www.joltek.com/blog/industrial-roboticsEdge Computing and AI Value in Manufacturing Data: https://www.joltek.com/blog/edge-computing-ai-value-manufacturing-dataDave Griffith is a co-host of The Manufacturing Hub Podcast and founder of Capelin Solutions, an industrial automation firm helping manufacturers adopt smart manufacturing technology. He brings 15 years of experience in industrial automation and digital transformation.Connect with Dave: https://www.linkedin.com/in/davegriffith23/Subscribe to Manufacturing Hub: https://www.manufacturinghub.liveLinkedIn: https://www.linkedin.com/company/manufacturing-hub-networkYouTube: https://www.youtube.com/@ManufacturingHub

Join EIQ here00:00 Genetics and Binge Eating: Unpacking the Myths05:38 Navigating the Fine Line: Genetics vs. Personal Responsibility11:31 AI FOMO: The Illusion of Missing Out17:27 Trust and Authenticity in the Age of AI20:27 Valuing Time in Business21:22 Understanding Client Needs22:18 Marketing Strategies for Different Audiences23:36 Selling What Clients Want vs. What They Need24:48 Adapting to Crisis: The Importance of Health27:24 Building Community During Uncertain Times28:43 Creating Value in Free Communities31:00 Pivoting Business Models Effectively32:53 The Importance of Authentic Communication35:12 The Role of Storytelling in Business36:59 Engaging Community Members Effectively

What if the real advantage in AI lies not in having more data, but in having less?In this episode of the Don't Panic, It's Just Data podcast, host Shubhangi Dua, Podcast Producer and B2B Tech Journalist at EM360Tech, sits down with Herb Blecher, Research Director of Data and Analytics at Enterprise Management Associates (EMA). This conversation challenges a common belief in enterprise tech – that gathering everything ensures insight. Blecher, alluding to the modern-day AI craze, cautions the enterprise audience that just because you can access vast amounts of unstructured data doesn't mean you should.What is the AI Gold Rush & Why It's Risky?Unstructured data now fills the enterprise tech space — voice calls, financial documents, customer chats, images, logs, and emails. “With AI and machine learning, we've finally figured out how to access and organise it.”However, Blecher offers a stark reality check. AI doesn't just increase insight; it increases error. When machines transition from calculating numbers to interpreting tone, images, and incomplete context, the chances for mistakes rise significantly. A blurry comma in a financial document, a misread abbreviation, a misplaced decimal. In low-stakes situations, this is inconvenient. In finance or healthcare, it can be disastrous.The danger lies not just in faulty outputs, but in confidently flawed outputs. AI doesn't hesitate as humans do. It doesn't say, “This seems off.” It fills in gaps, often convincingly. That confidence, Blecher argues, makes governance essential.The real issue companies face isn't a lack of data; it's a lack of careful thought.Also Read: AI is Making “As-Code” InevitableWhy Human-in-the-Loop is Imperative?Governance over hype is the key takeaway from the conversation. AI generating and using data at the same time creates a new situation. In the past, including financial troubles that Blecher experienced directly, human judgment acted as the final protection. Now, companies risk losing that safeguard in their rush to automate.Dua puts it simply – humans are leaders; AI is the helper.The enterprises that succeed with unstructured data aren't the fastest; they are the most thoughtful. They clearly define their questions first, build feedback loops, monitor continuously, and foster a culture of scepticism.What are the failures? They often look like ambitious automation without safeguards—from flawed document scanning to high-profile AI rollouts like McDonald's testing automated drive-through ordering, where conversational nuance proved more challenging than anticipated.Tone, ambiguity, and context remain distinguishing human areas.What Happens Five Years From Now?Will AI solve data quality issues? No, it will not. However, Blecher believes that data quality problems are here to stay. “What will change is the range of questions we try to answer. As AI develops, companies won't stop dealing with edge cases; they'll broaden the edge.”The future doesn't promise easy automation. It promises increased capability, increased capacity, along with increased responsibility.For CFOs and IT leaders investing in AI-driven data strategies, EMA's Research Director of Data and Analytics has a final message:Don't confuse volume with value.Don't replace governance with optimism.Don't give up scepticism in a gold rush.AI's potential is huge. But more data doesn't always mean better data. In a world eager to gather everything, restraint could be the most radical strategy of all.Key Takeaways More data doesn't guarantee better insights — clarity of purpose matters more than volume.AI doesn't just scale intelligence; it scales errors if governance is weak.Unstructured data is powerful, but without context and oversight, it becomes a liability.Human judgment remains essential — especially in high-stakes domains like finance and healthcare.The most successful organisations move deliberately, not impulsively, in the AI gold rush.Chapters00:00 Introduction to Data Quality and Its Importance02:43 The Rise of Unstructured Data05:42 Challenges in Ensuring Data Quality08:46 AI's Role in Data Quality Management11:30 Human Oversight in AI and Data Quality14:47 Opportunities in Data Quality17:32 Governance and Regulation in AI20:25 Real-World Applications and Case Studies23:27 Future of Data Quality and AI26:18 Key Takeaways for LeadersAbout Herb BlecherHerb leads EMA's Data and Analytics practice. He brings more than two decades of experience building solutions across financial services, data product development, and enterprise analytics.His perspective is shaped by leading national data initiatives for U.S. mortgage servicers and government agencies, as well as driving product innovation and strategy in fast-moving technology environments. Herb's research spans enterprise data and analytics, including data architecture and platform modernisation, analytics and integration, governance, and AI/ML platforms.#AI #DataAnalytics #TechPodcast #B2BTech #DataQuality #UnstructuredData #AIGoldRush #HumanInTheLoop #AICorporate #HerbBlecher #EMAPartners #CFOs #ITLeaders #DataStrategy #DontPanicItsJustData #EM360Tech #PodcastClips #DataInsights

This Week In Startups is made possible by:LinkedIn Jobs - https://LinkedIn.com/twist.Deel - https://deel.com/twistIru - https://iru.com/twist!Today's show:It's a packed TWiST Today! WITH US, we've got Erik Voorhees of VeniceAI and Logan Allin of Fin Capital on to talk agents, crypto, and… you guessed it, OPENCLAW!Where does agentic AI meet the financial system? How will agents transact? And what does privacy look like in a world with omnipresent AI?Stick around for some demos! We've got George Pickett to demo OpenClaw studio and David Kaufman to show us what he's building at Siteline!Timestamps:00:04:31 What was Logan's original thesis in Circle?10:08 LinkedIn Jobs - Thanks to our partners at @LinkedIn! Post your job for free at https://⁠linkedIn.com/twist⁠ then promote it to get access to LinkedIn Jobs' new AI assistant.00:11:52 Logans thoughts on Open vs. Closed Source00:15:33 How to maintain privacy in AI20:02 Deel - Founders ship faster on Deel. Set up payroll for any country in minutes and get back to building. Visit https://⁠deel.com/twist⁠ to learn more.00:23:29 Why LAUNCH's token usage is trending higher than payroll!00:25:05 How Fin capital uses personality types and AI to assess investments00:29:45 Why Erik thinks Anthropic's defiance of the federal gov. is bravery!32:10 Iru - Iru unifies identity, endpoint security, and compliance into one platform. TWiST listeners get 20% off when they book a demo at https://⁠iru.com⁠/twist!00:42:23 How Siteline is helping understand companies and their agent traffic.00:57:15 OpenClaw Studio makes OpenClaw as user friendly as possible.01:10:09 The layers and layers of Microstrategy's business model.01:11:44 Which AI tools are the most indispensable?01:12:25 How Jason uses the Grok button on threadsSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisCheck out all our partner offers: https://partners.launch.co/Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.com

Send a textOpenClaw is the most talked-about AI agent platform right now — but is it actually worth it for business owners? In this episode of The Alchemist's Library, Ryan sits down with Michael Ryaboy to give you the complete guide to understanding OpenClaw, how AI agents work, what Claude Code skills are, and how to start automating your business with proactive AI in 2026. If you've been hearing about OpenClaw, AI harnesses, and agentic AI but don't know where to start, this breaks it all down.Michael explains the honest truth about OpenClaw's limitations, who should and shouldn't be using it right now, and the alternatives like StarClaw, Manus, and Claude Cowork that might be a better fit. You'll learn how to build reusable AI skills from scratch — simple text files that let AI execute complex business tasks on command — and how to go from manual workflows to fully automated systems. We also cover which jobs AI will replace, why creators are uniquely safe, and how clipping campaigns can scale your content to millions of views.Subscribe and comment with the first thing you'd automate in your business.#OpenClaw #AIAgents #ClaudeCode2. TIMESTAMPS00:00 – What Is OpenClaw and How Does It Work01:59 – Who Should Actually Use OpenClaw Right Now03:36 – Is OpenClaw Worth It for Non-Technical Founders05:54 – AI Models vs AI Harnesses Explained08:38 – Why OpenClaw Is Overhyped for Most People09:55 – What Is StarClaw and How It Fixes OpenClaw11:19 – How Business Owners Should Start Using AI13:11 – How to Connect AI to Your Entire Business14:19 – Automating Podcast Outreach With AI Agents18:09 – Find Podcast Guests Using Twitter and AI20:34 – What Are Claude Code Skills and Why They Matter23:29 – Will AI Skills Replace SaaS Products24:48 – How to Build Reusable AI Skills Step by Step27:18 – Automating Business Workflows for Almost Free30:09 – Why Creators Are Safe From AI Replacement32:06 – Which Jobs Will AI Actually Replace in 202637:35 – Claude Cowork vs Claude Code for Business41:09 – Unexpected Use Cases for Claude Code47:45 – StarClaw and SetUpClaw Explained51:19 – How to Automate Cold Email Outreach With AI53:44 – How Clipping Campaigns Scale Your PodcastMichaels Stuff: http://setupclaw.com  •  http://rentmyheader.com • http://devreljob.comConnect with Michael! https://x.com/michael_chomskyConnect with Us!https://www.instagram.com/alchemists.library/https://twitter.com/RyanJAyala

In this episode of Manufacturing Hub, Vlad and Dave sit down with Travis Cox and Kevin McCluskey from Inductive Automation to unpack what was actually proven at ProveIt and why it matters for teams trying to modernize plants without building a fragile mess of point to point integrations. If you have ever looked at a shiny demo and wondered what the real architecture looks like, how it scales beyond a single line, and what it takes to roll out across multiple sites without turning every change into a high risk event, this conversation is for you.Travis and Kevin walk through their ProveIt Enterprise B build and the thinking behind it. The core idea is simple but powerful: treat the factory like a system that needs a shared digital infrastructure, built on open standards, where data is contextualized and reusable. They break down how they used Ignition Edge close to PLCs for resiliency, local HMIs, and disciplined data modeling, then moved data through MQTT into a Unified Namespace so multiple applications can consume the same trusted signals and context. This is the difference between “we can connect to anything” and “we can scale without rewriting everything every time the business changes.” Open standards show up repeatedly in the conversation because ProveIt is specifically designed to force interoperability and practical implementation tradeoffs. Inductive Automation has also written about ProveIt as a place where MQTT, OPC UA, and SQL show up as real foundations rather than slogans.From there, the episode gets into the part that should make both OT and IT teams pay attention: modern deployment practices applied to industrial applications. Kevin outlines a clear maturity path from a single designer workflow to version control, then to containerized deployments, and finally to full GitOps style promotion across dev, staging, and production using tools like Argo CD, Helm, Kubernetes, and release promotion concepts that look like what the software world has used for years. Argo CD is explicitly built around Git repositories as the source of truth for desired state, which is exactly why it fits this style of deployment. The live portion of the conversation demonstrates how fast this can get when the infrastructure is treated as code: they spin up a brand new “site four” by submitting a form, generating a pull request, merging it, and letting the pipeline do the rest.Timestamps00:00 Welcome back and why this ProveIt recap matters01:35 Meet Travis Cox and Kevin McCluskey from Inductive Automation03:10 What ProveIt is and the key vendor questions it forces05:20 Enterprise B architecture overview from PLC to Edge to site to enterprise07:30 HMI walkthrough across liquid processing, filling, packaging, palletizing09:05 Why deploy Ignition Edge instead of only a centralized site gateway12:05 Design once, reuse everywhere and what that means for scaling quickly14:35 On prem realities versus cloud infrastructure in the ProveIt environment17:10 MCP, n8n workflows, and bringing live operational context into AI20:40 i3X style API access to models, history, and alarms for interoperability23:15 GitHub, Docker Compose, Helm, Kubernetes, Argo CD, Cargo and GitOps promotion36:55 Spinning up a new site live and what it changes for multi site rolloutsAbout the hostsVlad Romanov is an electrical engineer and MBA who has spent over a decade building and modernizing manufacturing systems across industrial automation, controls, and plant operations. Through Joltek, Vlad works with manufacturers to assess current state OT foundations, reduce modernization risk, improve reliability, and build internal capability through practical training and standards that stick.Dave Griffith co hosts Manufacturing Hub and brings a practitioner lens focused on what works on the plant floor, how architectures survive real constraints, and how industrial teams can modernize without breaking production.About the guestsTravis Cox is Chief Technology Evangelist at Inductive Automation and has spent over two decades helping customers and partners design scalable architectures, apply best practices, and deliver real solutions with Ignition.Kevin McCluskey is Chief Technology Architect at Inductive Automation and works with organizations on architecture decisions, platform direction, and enabling the next generation of industrial applications.Learn more about Joltekhttps://www.joltek.com/serviceshttps://www.joltek.com/book-a-modernization-consultation

---------------Diese Folge wird u.a. präsentiert von claneo.deGenerative Engine Optimization - Inhalte optimieren für ChatGPT & Co - Das Standardwerk für GEO, von Magdalena Mues, Matthäus Michalik, Martin Grahl, Andre Alpar & Franziska Schneider. Erscheint am 5.3.2026 im Rheinwerk Verlag. Jetzt das Buch auf Amazon vorbestellen. Link: ⁠⁠⁠⁠⁠https://www.amazon.de/Generative-Engine-Optimization-aufbereiten-GEO-Ma%C3%9Fnahmen/dp/336711426X/⁠⁠⁠⁠---------------In dieser Episode spreche ich mit Christian B. Schmidt (Digital Effects) über ihre Untersuchung der Verschiebung von Search & Brand Authority in der Reisebranche und die Unterschiede zwischen Google Search und AI Search. Wir analysieren die Auswirkungen von AI Search auf die Reisebranche, mit Fokus auf Marktanteile, Content-Strategien und zukünftige Herausforderungen für Reiseunternehmen. Erfahren Sie, wie sich die Suchlandschaft verändert und welche Strategien notwendig sind, um sichtbar zu bleiben.Chapters00:00 Einführung und Icebreaker02:45 Der Shift von Google zu AI-Search12:22 Veränderungen im Reisefunnel durch AI20:18 Die neuen KPIs im AI-Zeitalter22:21 Gewinner und Verlierer der Studie27:54 Transaktionale Keywords und ihre Bedeutung30:06 AI-Overviews vs. ChatGPT: Unterschiede und Strategien36:14 Konkret Maßnahmen für Reiseunternehmen45:15 Zukunft der Reiseplanung: API und Agentic AI47:29 Messbarkeit in der AI-Suche und Dashboard-Tools

On this episode of CIO Classified, host Yousuf Khan sits down with Ravi Thadani, Global Head of IT at Enphase Energy, a company powering over 5 million homes across 160 countries with clean, solar-driven energy. With 85 million microinverters producing 30 gigawatts of power, Ravi's team is at the epicenter of a massive, real-time data operation—and every IT decision directly impacts the customer experience.About Ravi: Ravi Thadani is a seasoned IT executive with extensive experience leading large-scale digital transformations across Fortune 500 companies. He has driven strategic initiatives across ERP, CRM, PLM, HCM, SCM, analytics, AI/ML, network architecture, cloud infrastructure, and M&A integration. With oversight of multi-$10M budgets and teams of over 300, Ravi has supported business units ranging from $2B to $70B in revenue.Known for his strategic vision and execution, Ravi is recognized for fostering cross-functional alignment, driving agile transformation, and cultivating high-performing teams. His leadership approach is grounded in strong business partnerships, stakeholder governance, innovation, and a relentless focus on outcomes.Timestamps:01:50 – Enphase Energy's Global Operations03:40 – Ravi's Role and Responsibilities06:00 – Managing Customer Data and CRM16:45 – Driving Change as a CIO19:50 – The Role of Data in AI20:55 – The Importance of Data Cleaning21:20 – Effective Data Governance Strategies23:45 – Architecting for Scalability27:30 – Challenges in Hardware and Software IntegrationGuest Highlights:"AI isn't replacing you—people using AI are. The adoption curve is about enabling people to do more, not just reducing headcount.""The biggest failure point in IT projects? Treating them like IT projects. Every transformation has to be owned by the business.""Your architecture should always assume 10x growth. Even if you're not scaling today, you need a conscious plan for when you do."Get Connected:Yousuf Kahn on LinkedInRavi Thadani on LinkedInHungry for more tech talk? Check out latest episodes at ciopod.com: Ep 65 - Accelerating Software Development at Enterprise ScaleEp 64 - How Autonomous AI is Solving the Enterprise Modernization ChallengeEp 63 - How AI is Expanding the CIO RoleLearn more about Caspian Studios: caspianstudios.comOur Sponsor: Want to accelerate software development by 500%? Meet Blitzy, the only autonomous code generation platform with infinite code context, purpose-built for large, complex enterprise-scale codebases.While other AI coding tools provide snippets of code and struggle with context, Blitzy ingests millions of lines of code and orchestrates thousands of agents that reason for hours to map every line-level dependency.With a complete contextual understanding of your codebase, Blitzy is ready to be deployed at the beginning of every sprint. Blitzy handles the heavy lifting, delivering over 80% of the work autonomously. The platform plans, builds, and validates premium-quality code at the speed of compute, turning months of engineering into a matter of days.It's the secret weapon for Fortune 500 companies globally. To hear how engineering leaders are transforming the way they deliver software, visit blitzy.com. Schedule a meeting with their consultants to enable an AI-Native SDLC in your organization today. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Kody Gurfein is the Chief Marketing Officer at Exiger, where she leads an award-winning marketing team that drives revenue growth, educates commercial and government stakeholders on critical supply chain issues, and transforms how the market thinks about risk management and AI. In this episode, she discusses Exiger's growth, mission, and innovative tools, such as ForcedLabor.ai, aimed at addressing forced labor in supply chains. Kody emphasizes the importance of clear communication in marketing, as AEO grows in importance, and offers valuable advice for young professionals entering the field. Key Takeaways:- Mentorship and sponsorship are crucial for young professionals- AI is a tool, but critical thinking remains vital- ForceLabor.ai aims to combat modern slavery in supply chainsEpisode Timeline:0:00 Introduction to Kody 2:00 Kody's relationship with Fast Company4:30 What's happening at Exiger6:15 How Exiger is bringing transparency to the supply chain7:15 Exiger's mission9:15 Exiger's work on identifying slavery in the supply chain10:15 Supply chain challenges in the current political climate13:10 The power of clear communication in AEO15:30 Short vs. flowery texting18:55 Internal shifts in PR caused by AI20:00 Mentoring junior PR people in the AI era23:00 Why critical thinking is more crucial than ever25:45 Kody's thought leadership philosophyThis episode's guest:• Kody Gurfein on LinkedIn• Exiger on LinkedIn• ForcedLabor.AISubscribe and leave a 5-star review: https://pod.link/1496390646Contact Us!•Join the conversation by leaving a comment!•Follow us on Facebook, Twitter, Instagram, and LinkedIn!Thanks for listening! Hosted on Acast. See acast.com/privacy for more information.

Start planning like the world's smartest marketers! This episode shows you how to reverse-engineer strategy for maximum impact, master situation analysis, and use AI-powered systems to scale your marketing without extra headcount.And don't forget! You can crush your marketing strategy with just a few minutes a week by signing up for the StrategyCast Newsletter. You'll receive weekly bursts of marketing tips, clips, resources, and a whole lot more. Visit https://strategycast.com/ for more details.==Let's Break It Down==04:42 "Goal-Driven Strategy Development"07:00 Evolving Market Strategy Fundamentals12:25 "Testing Budgets & Missing Steps"15:27 "Refining Value for Customers"17:17 Adapting Marketing Strategies with AI20:01 "Understanding Customers and Market Fit"23:13 Optimizing Funnels and Adjustments29:05 "Streamlining Content Creation Workflow"31:09 "Strategic AI Marketing Essentials"35:33 "AI Missteps Widen Market Gap"==Where You Can Find Us==Website: https://strategycast.com/Instagram: https://www.instagram.com/strategy_cast/Facebook: https://www.facebook.com/strategycast==Leave a Review==Hey there, StrategyCast fans!If you've found our tips and tricks on marketing strategies helpful in growing your business, we'd be thrilled if you could take a moment to leave us a review on Apple Podcasts. Your feedback not only supports us but also helps others discover how they can elevate their business game!

How much does audio really affect learning? And does it matter whether that voice is human or AI?In this episode, Matt sits down with Stephanie Warnoff, Senior Market Researcher at TechSmith, to walk through new research that looks at how audio quality and AI narration influence learning outcomes, perceived professionalism, and retention in instructional video.The study, conducted by TechSmith, was built around a simple experiment. Participants watched the same 45-second how-to video, with the visuals kept the same each time. The only variable was the audio. Viewers heard one of four versions: high-quality human narration, low-quality human narration, high-quality AI narration, and low-quality AI narration. What the team found was...surprising.Throughout the conversation, Matt and Stephanie explore what the results mean for teams creating training and instructional content, especially as AI tools become easier to access.This episode is part 1 of a two-part research series. Stay tuned for episode 2, where Matt and Stephanie take a closer look at the second half of the study, focusing on AI avatars, and how different avatar styles compare with human presenters in real learning contexts.Learning points from the episode include:00:00 - 01:19 Intro01:19 - 02:53 Stephanie's background02:53 - 04:59 TechSmith's research on AI voices04:59 - 06:14 The four audio versions used during the study and how the experiment was structured06:14 - 07:47 What surprised Stephanie about the AI voices07:47 - 10:58 Is there a need for disclosure with AI?10:58 - 15:37 Signals for high quality voices15:37 - 18:04 Why poor audio quality performed better than high audio quality18:04 - 20:34 Other considerations for effectiveness of learning through AI20:34 - 23:08 Future research23:08 - 26:22 Closing thoughts26:22 - 27:01 Stephanie's final take27:01 - 28:00 OutroImportant links and mentions:Connect with Stephanie: research@techsmith.comLearn more about the study in this blog post: https://www.techsmith.com/blog/ai-voices-avatars-in-training-videos/

"Sztuczna inteligencja jest pewną iluzją, imitacją podmiotu. Nie żywi do nas żadnych emocji, żadnej troski, nie interesuje się nami tak naprawdę, tylko to wszystko bardzo zręcznie symuluje. I to jest moim zdaniem najbardziej niebezpieczne" - mówi filozof Tomasz Stawiszyński w nowym odcinku podcastu Digitalks. W rozmowie z Jowitą Michalską rozważa też, czym grozi uczłowieczanie AI, ile ta technologia ma w sobie z religii i jak wiele fantastyczno-naukowych wizji z książek Philipa K. Dicka i filmu "Terminator" sprawdza się w dzisiejszym świecie? Obejrzyj nowy odcinek Digitalks!0:00 - Wstęp 2:13 - Czy AI jest to nowy bóg?6:51 - AI i iluzja bycia w prawdziwym kontakcie 9:02 - Immersja, VR i świat Philipa K. Dicka11:14 - Upadek dawnych narracji i nowe mity technologii14:55 - Twórcy AI na okładce magazynu TIME19:33 - Bezgraniczne zaufanie do AI20:48 - Algorytmizowanie rzeczywistości26:00 - Terminator i nieustępliwość maszyn29:55 - Palantir, Peter Thiel i filozofia René Girarda42:37 - AI, praca i groźba utraty tożsamości51:17 - Polecajki książkowe, filmowe, podcastowe Tomasza Stawiszyńskiego

In this episode of the Crazy Wisdom podcast, host Stewart Alsop sits down with Josh Halliday, who works on training super intelligence with frontier data at Turing. The conversation explores the fascinating world of reinforcement learning (RL) environments, synthetic data generation, and the crucial role of high-quality human expertise in AI training. Josh shares insights from his years working at Unity Technologies building simulated environments for everything from oil and gas safety scenarios to space debris detection, and discusses how the field has evolved from quantity-focused data collection to specialized, expert-verified training data that's becoming the key bottleneck in AI development. They also touch on the philosophical implications of our increasing dependence on AI technology and the emerging job market around AI training and data acquisition.Timestamps00:00 Introduction to AI and Reinforcement Learning03:12 The Evolution of AI Training Data05:59 Gaming Engines and AI Development08:51 Virtual Reality and Robotics Training11:52 The Future of Robotics and AI Collaboration14:55 Building Applications with AI Tools17:57 The Philosophical Implications of AI20:49 Real-World Workflows and RL Environments26:35 The Impact of Technology on Human Cognition28:36 Cultural Resistance to AI and Data Collection31:12 The Bottleneck of High-Quality Data in AI32:57 Philosophical Perspectives on Data35:43 The Future of AI Training and Human Collaboration39:09 The Role of Subject Matter Experts in Data Quality43:20 The Evolution of Work in the Age of AI46:48 Convergence of AI and Human ExperienceKey Insights1. Reinforcement Learning environments are sophisticated simulations that replicate real-world enterprise workflows and applications. These environments serve as training grounds for AI agents by creating detailed replicas of tools like Salesforce, complete with specific tasks and verification systems. The agent attempts tasks, receives feedback on failures, and iterates until achieving consistent success rates, effectively learning through trial and error in a controlled digital environment.2. Gaming engines like Unity have evolved into powerful platforms for generating synthetic training data across diverse industries. From oil and gas companies needing hazardous scenario data to space intelligence firms tracking orbital debris, these real-time 3D engines with advanced physics can create high-fidelity simulations that capture edge cases too dangerous or expensive to collect in reality, bridging the gap where real-world data falls short.3. The bottleneck in AI development has fundamentally shifted from data quantity to data quality. The industry has completely reversed course from the previous "scale at all costs" approach to focusing intensively on smaller, higher-quality datasets curated by subject matter experts. This represents a philosophical pivot toward precision over volume in training next-generation AI systems.4. Remote teleoperation through VR is creating a new global workforce for robotics training. Workers wearing VR headsets can remotely control humanoid robots across the globe, teaching them tasks through direct demonstration. This creates opportunities for distributed talent while generating the nuanced human behavioral data needed to train autonomous systems.5. Human expertise remains irreplaceable in the AI training pipeline despite advancing automation. Subject matter experts provide crucial qualitative insights that go beyond binary evaluations, offering the contextual "why" and "how" that transforms raw data into meaningful training material. The challenge lies in identifying, retaining, and properly incentivizing these specialists as demand intensifies.6. First-person perspective data collection represents the frontier of human-like AI training. Companies are now paying people to life-log their daily experiences, capturing petabytes of egocentric data to train models more similarly to how human children learn through constant environmental observation, rather than traditional batch-processing approaches.7. The convergence of simulation, robotics, and AI is creating unprecedented philosophical and practical challenges. As synthetic worlds become indistinguishable from reality and AI agents gain autonomy, we're entering a phase where the boundaries between digital and physical, human and artificial intelligence, become increasingly blurred, requiring careful consideration of dependency, agency, and the preservation of human capabilities.

In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Tamara Laine, investigative journalist turned two-time tech founder and the CEO and co-founder of MPWR. Tamara brings a rare blend of storytelling, emotional intelligence, and problem-spotting instincts into the world of AI and financial innovation — and in this conversation, she unpacks how those experiences shape the products she builds today.Tamara shares how her investigative background sharpened her ability to dig into root problems, challenge assumptions, and uncover overlooked patterns — skills she now uses to design user-centric, AI-powered solutions for financial inclusion. She opens up about the realities of being a gig worker, the challenges Gen Z faces in accessing credit, and how the traditional banking world is struggling to adapt to a rapidly changing workforce.The episode dives deep into EQ-driven leadership, ethical AI, community as a modern moat, and the rise of low-code tools that are simultaneously empowering founders while making markets noisier than ever. Tamara's insights on responsible innovation, founder resilience, and building tech that actually solves human problems make this a powerful, thought-provoking conversation for today's leaders.TakeawaysInvestigative journalism taught Tamara to identify real problems, ask better questions, and challenge assumptions — essential skills for founders.Curiosity is becoming a competitive advantage in tech, not just a personality trait.Emotional intelligence is now a top leadership skill, especially as AI automates more of our operational workload.Storytelling begins with user journeys — not marketing — and should guide product design from day one.Founders must actively seek blunt feedback and treat it as a gift, not a threat.Market gaps aren't always opportunities — sometimes human behavior simply won't change.AI can create incredible value, but without ethical leadership and diverse teams, it can also reinforce harmful biases.Financial systems haven't evolved fast enough for gig workers and Gen Z borrowers — creating a massive unmet need.Empower was built as an end-to-end solution bridging lenders and borrowers through AI-driven financial fluency and credit modeling.The funding landscape now demands MVPs and traction early, making deep-tech innovation harder but still deeply needed.Chapters00:00 Welcome & Introduction01:20 From Investigative Journalism to Tech03:00 Curiosity as a Founder Superpower05:30 Market Fit, Behavior Change & Category Creation07:40 Storytelling as the Foundation of Product Design10:15 User Journeys, “Falling in Love with the Problem”12:20 The Power of Blunt Feedback in Early-Stage Building15:00 Parenting, Curiosity & Emotional Intelligence17:45 Why EQ Matters More Than Ever in the Age of AI20:20 Ethical AI, Bias, and Leadership Responsibility24:00 Financial Access, Gig Workers & the Modern Workforce27:10 How Gen Z Borrows Differently30:00 The Lender Perspective & Market Validation31:55 Fundraising Realities: Money vs. Strategic Money34:20 Noise in the AI Era & The Challenge of Differentiation36:00 Moats, LLMs & Building What Can't Be Easily Copied37:10 Community as a Strategic Advantage38:40 Founder Fears: Funding Markets & Deep Tech41:30 Biggest Founder Aha Moments42:20 Book Recommendation: Outcomes Over Output43:00 Connect with Tamara & Closing ThoughtsTamara Laine's Social Media Link:https://www.linkedin.com/in/tamaralaine/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

AI is devouring the planet's electricity ... already using up to 2% of global energy and projected to hit 5% by 2030. But a Spanish-Canadian company, Multiverse Computing, says it can slash that energy footprint by up to 95% without sacrificing performance.They specialize in tiny AI: one model has the processing power of just 2 fruit fly brains. Another tiny model lives on a Raspberry Pi.The opportunities for edge AI are huge. But the opportunities in the cloud are also massive.In this episode of TechFirst, host John Koetsier talks with Samuel Mugel, Multiverse's CEO, about how quantum-inspired algorithms can drastically compress large language models while keeping them smart, useful, and fast. Mugel explains how their approach -- intelligently pruning and reorganizing model weights -- lets them fit functioning AIs into hardware as tiny as a Raspberry Pi or the equivalent of a fly's brain.They explore how small language models could power Edge AI, smart appliances, and robots that work offline and in real time, while also making AI more sustainable, accessible, and affordable. Mugel also discusses how ideas from quantum tensor networks help identify only the most relevant parts of a model, and how the company uses an “intelligently destructive” approach that saves massive compute and power.00:00 – AI's energy crisis01:00 – A model in a fly's brain02:00 – Why tiny AIs work03:00 – Edge AI everywhere05:00 – Agent compute overload06:00 – 200× too much compute07:00 – The GPU crunch08:00 – Smart matter vision09:00 – AI on a Raspberry Pi10:00 – How compression works11:00 – Intelligent destruction13:00 – General vs. narrow AIs15:00 – Quantum inspiration17:00 – Quantum + AI future18:00 – AI's carbon footprint19:00 – Cost of using AI20:00 – Cloud to edge shift21:00 – Robots need fast AI22:00 – Wrapping up

It's Etiquette Finishing School Day at Slow Ventures, Sam dials in from the Four Seasons in a Brioni suit to recap Slow's first-ever Etiquette School—covering caviar bumps, sommelier tips, and the “low heart rate” approach to leadership. The crew argue that etiquette now matters in tech because trust is scarce and “PMF-only” is an outdated YC-era story. Jess also unpacks details from Apple's Gemini deal, Sequoia's leadership shuffle, Anthropic's latest numbers, and crypto's meme-driven chaos. Watch till the end for free No Kings and Queens of Corbet protest tees from Sam.Chapters:02:33 Etiquette Day at Slow — Sam's recap from the Four Seasons07:00 Why etiquette matters for founders in 202513:20 Apple x Google: Gemini to power Siri17:24 Apple's AI strategy: Restricting Spend on AI20:04 LLMs vs search the new user behavior shift27:40 Sequoia's leadership handoff36:44 Meme coin corner Jelly's 400M rise and community-led products47:55 Waymo swarms El Camino AI meets the real world50:30 Sam's "No Kings and Queens" merchWe're also on ↓X: https://twitter.com/moreorlesspodInstagram: https://instagram.com/moreorlessYouTube: https://youtu.be/zv4VdtKpQQkConnect with us here:1) Sam Lessin: https://x.com/lessin2) Dave Morin: https://x.com/davemorin3) Jessica Lessin: https://x.com/Jessicalessin4) Brit Morin: https://x.com/brit

Insights into the past, present and future of crypto, tech and AI with Reid Hoffman. Follow the podcast ⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠. LinkedIn co-founder and PayPal founding board member Reid Hoffman joins "CoinDesk Spotlight" to discuss his innovator journey from "PayPal mafia" to creating LinkedIn and moving into crypto and AI. Hoffman dives deep into the "discomfort" with AI development, his thoughts on crypto's political divide, and what he's building at the intersection of AI and digital assets. - This content should not be construed or relied upon as investment advice. It is for entertainment and general information purposes. - Break the cycle of exploitation. Break down the barriers to truth. Break into the next generation of privacy. Break Free. Free to scroll without being monetized. Free from censorship. Freedom without fear. We deserve more when it comes to privacy. Experience the next generation of blockchain that is private and inclusive by design. Break free with Midnight, visit midnight.network/break-free - Genius Group has partnered with CoinDesk for Bitcoin Treasury Month, launching the Genius x CoinDesk Quest. Participants can join the Bitcoin Academy, complete free microcourses from experts like Natalie Brunell and Saifedean Ammous, and enter to win 1,000,000 GEMs (worth 1 BTC) promoting bitcoin education and adoption. Learn more at: https://www.geniusgroup.ai/coindesk-bitcoin-treasury-month/ - OwlTing (Nasdaq: OWLS) is building invisible rails for global payments. With OwlPay, businesses and users can bridge fiat and stablecoins, send money instantly across borders, and access stablecoin checkout at lower costs. Licensed worldwide, OwlTing delivers secure, compliant, and regulated infrastructure for the digital economy. Learn more at ⁠⁠⁠⁠owlting.com⁠⁠⁠⁠. - Timestamps: 3:10 - The Thesis of Borderless, Networked Communities and Satoshi's Genius5:15 - PayPal: The Forerunner to Crypto15:01 - How PayPal Cooperated with the FBI to Change Regulatory Perception18:02 - Reid's Shift in Focus to AI20:37 - Crypto's Reputation in Silicon Valley24:41 - The Cognitive Industrial Revolution31:13 - Reid's Position on the Future of Stablecoins36:38 - Blockchain and IP Rights in the Age of AI45:06 - Does AI Create Sameness and Slop?48:11 - The Left's Big Mistake on Crypto53:05 - What does Reid Envision for the Future of Crypto? - This episode was hosted by Sam Ewen. “CoinDesk Spotlight” is produced by Sam Ewen, Jennifer Sanasie, Taylor Fleming and Victor Chen.

MY NEWSLETTER - https://nikolas-newsletter-241a64.beehiiv.com/subscribeJoin me, Nik (https://x.com/CoFoundersNik), as I interview Elizabeth Knopf (https://x.com/leveragedupside) to master Claude AI automation and solve the two biggest AI productivity challenges: refamiliarizing every chat with context and accessing scattered data across Google Drive, Dropbox, and cloud storage without creating duplicates.What You'll Learn: Claude AI Skills vs Projects – Simplify AI agents into universal templates you can invoke across any chatAI Second Brain Setup – Build your personal operating system with persistent memoryGoogle Drive Integration – Connect Claude to thousands of documents without vector databasesData Infrastructure Architecture – Organize files for AI automation and workflow optimizationSkill Creator Tutorial – Meta AI hack: Use Claude to generate custom skills automaticallyBusiness AI Automation – Set up deal analyzers, email formatters, meeting note templates & moreAI Memory Management – Future-proof your LLM workflow with proper data structureClaude Code Tutorial – Access MCP (Model Context Protocol) for advanced integrationsPerfect for: Entrepreneurs, small business owners, content creators, digital marketers, real estate investors, productivity hackers, AI enthusiasts, and anyone building their first million-dollar business with AI automation tools in 2025.__________________________Love it or hate it, I'd love your feedback.Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.__________________________MY NEWSLETTER: https://nikolas-newsletter-241a64.beehiiv.com/subscribeSpotify: https://tinyurl.com/5avyu98yApple: https://tinyurl.com/bdxbr284YouTube: https://tinyurl.com/nikonomicsYT__________________________This week we covered:00:00 Introduction to AI Pain Points02:42 Understanding Skills vs. Agents05:56 Creating and Utilizing Skills08:46 Navigating GitHub and Skills Cookbook12:08 Building a Personal Operating System14:55 Integrating Google Drive with AI17:44 Creating a Second Brain with AI20:57 Practical Applications of AI Skills23:47 Setting Up Your Data Infrastructure27:04 Using AI for Meeting Summaries29:52 Conclusion and Call to Action

This episode of Talking AI features an in-depth discussion with Patrick Leung, CTO and co-founder of Faro Health.The conversation explores the slow and expensive process of bringing new drugs to market through clinical trials and how AI can revolutionize this area.Patrick explains the concept of Eroom's Law and the increasing cost and complexity of clinical trials.He highlights the application of AI in clinical writing, enabling the automation of complex clinical documentation.The discussion also touches on AI's role in providing better insights, improving patient care, and the broader implications of AI in healthcare.The episode concludes with a look at the hype and reality of AI capabilities, emphasizing the need for organizations and individuals to embrace and adapt to AI innovations.--Key Moments:00:46 Challenges in Clinical Trials02:31 AI's Role in Clinical Documentation04:37 Ensuring Accuracy and Quality with AI07:40 The Future of AI in Clinical Trials12:58 Faro Health's Journey and Innovations18:25 Adapting to Advancements in AI20:14 Innovating with New AI Models21:12 Stanford AI Report Insights22:27 Healthcare Innovations and AI25:42 The Hype and Reality of AI in Healthcare28:05 The AI Hype Curve30:46 The Future of AI and Human Potential34:54 Encouragement for Aspiring Innovators--Key Links:Faro Health Inc.Connect with Patrick on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you'll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.

A shocking statistic reveals that 80% of leaders are dangerously behind on AI, and the window to catch up is closing fast. Most are trapped by day-to-day "urgent" tasks, ignoring the "important" work of AI adoption that will determine their company's future. In this episode, executive coach and founder of NewPo, Arielle Lechner, explains why so many leaders are failing to integrate AI and provides a clear roadmap to get started. We discuss how AI is transforming industries like executive coaching with tools like custom GPTs, how to automate workflows to save countless hours, and why you need to start thinking of AI as the most powerful assistant you've never hired. Check out the company: https://newpo.ioBook a 1-on-1 advisory session with me to apply these principles to your business: https://calendly.com/wltb/advisory

➡ Upgrade your presentations with Gamma, the best AI presentation maker: https://gamma.app In this conversation, I speak with Grant, co-founder of Gamma, about how their platform is transforming presentations and idea-sharing. Instead of starting with slides, Gamma helps you focus on the story first—then builds the visuals, structure, and delivery around it using AI. We talk about: From Slides to StoriesWhy presentations should begin with narrative flow and core ideas, not pre-existing slide templates. Gamma enables creators to design around the message rather than being trapped by the format. AI as Your Presentation PartnerHow Gamma acts like a personal design expert—adjusting layouts, visuals, and style in real time—similar to having a world-class presentation coach and designer by your side. Idea Propagation Beyond SlidesWhy Gamma isn’t just about “slides,” but about propagating ideas in the right medium: presentations, video overlays, mobile-first content, or even context-based imagery and clips. The Future of GammaWhere the platform is headed in the next few years, and how AI-driven storytelling will redefine the way we share ideas across industries. Subscribe to the newsletter:https://danielmiessler.com/subscribe Join the UL community:https://danielmiessler.com/upgrade Follow on X:https://x.com/danielmiessler Follow on LinkedIn:https://www.linkedin.com/in/danielmiessler Chapters: 00:00 – Introduction to Unsupervised Learning00:17 – Welcome Grant and Gamma’s Background01:31 – AI Trends Driving Presentation Innovation03:20 – Story First: Rethinking Workflow Beyond Slides04:29 – Building Narrative Flow Before Design07:42 – Gamma as an AI Presentation Partner09:43 – What Gamma Does Differently from Other Tools12:27 – Idea Propagation: Matching Message, Medium, and Audience13:23 – Enhancing Presentations with Images, Clips, and Context15:15 – Current Graphics and Animation Options17:03 – Most Popular and Favorite Features in Gamma18:05 – What’s Coming Soon in Gamma19:08 – The Future of Idea Propagation with AI20:46 – Where to Learn More About Gamma21:21 – Closing ThoughtsBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Ari Galper, the world's #1 authority on trust-based selling and creator of the One Call Sale methodology and Ari AI, an AI-powered sales coaching platform built on decades of proven frameworks. Together, they explore why traditional relationship-building and persuasion tactics often fail in today's crowded marketplace—and what tech leaders can do instead.Ari shares how to transition from solution-centric pitching to problem-centric diagnosing, helping prospects see the cost of inaction before presenting a solution. He offers powerful language patterns and mindset shifts that compress long sales cycles into a single conversation, without pressure or chasing leads. Listeners will hear real-world stories, including Ari's personal turning point that inspired him to build a global movement around truth and trust in sales.Whether you're a founder, executive, or sales leader, this episode will help you rethink your approach to business growth—moving from transactional selling to creating deep trust that drives long-term success.TakeawaysTrust-building, not persuasion, is the foundation of modern sales.Stop selling pre-sale—diagnose problems first, like a doctor with a patient.The cost of inaction (COI) is critical: help prospects see the risk of staying with the status quo.Compressing the sales cycle into one call creates clarity and commitment without pressure.Relationship-building pre-sale often backfires; it can put you in the “friend zone.”Avoid using the phrase “follow-up”; ask for feedback instead to uncover the truth.Silence is a powerful tool—let prospects talk first and reveal their core issues.Clarity is the true value you provide, not your product demo or case studies.Create cultural change in sales teams by teaching trust-based frameworks, not scripts.Use trust-based language to keep prospects on your calendar and avoid chasing ghosts.Personal transparency and authenticity—like Ari's lessons from his son Toby—make you more effective.Market to the problems you solve, not your solutions, to stand out in a noisy world.Chapters00:00 Intro & Why Trust-Based Selling Matters in Tech01:30 The Shift: From Product-Centric to Problem-Centric03:15 Cost of Inaction: The Real Sales Trigger04:55 The One Call Sale Framework Explained06:40 Trust vs. Relationship Building08:20 Real Story: Why “Great Meetings” Don't Equal Sales10:40 Diagnosing Over Delivering: Coaching Case Study13:15 Ari's Sales Call Script (Doctor Analogy Breakdown)15:00 The Birth of Ari AI and What Makes It Unique18:00 How Leaders Role-Play and Write Better Emails with AI20:00 Difference Between Fact-Finding and Trust Questions21:40 Never Use “Follow Up” Again Use This Instead24:30 Building Culture Without Falling into the Friend Zone26:20 Sales Teams Need Interventions, Not Programs28:00 Avoiding Bad Business: Qualifying for Urgency30:00 Ari's Aha Moment: The Muted Sales Call That Changed Everything33:30 Why “Being Professional” Still Lost the Deal35:15 Favorite Book: 80/20 Sales & Marketing36:00 Why Ari Writes a New Book Every Quarter37:20 Writing Problem-Centric Cold Emails That Cut Through Noise39:00 Personal Wisdom from Ari's Son, Toby40:10 Final Advice: Trust is the New CurrencyAri Galper's Social Media Links:https://www.linkedin.com/in/arigalper/https://www.youtube.com/@ari_galperhttps://www.instagram.com/ari_galperhttps://x.com/arigalperAri Galper's Website:https://unlockthegame.com/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

What are the implications for our divided country when a bullying president shakes down the news media to get his way?In this episode of the Lean to the Left Podcast, John DeDakis, veteran journalist, former CNN editor, White House correspondent, novelist, and writing coach, explores the challenges of journalism in today's fractured media landscape and the implications of Donald Trump's attempts to bully the media to his own ends.

Send us a textIn this episode, we delve into the transformative journey of artificial intelligence and its profound impact on job markets worldwide. From automation to innovation, AI is reshaping industries, creating new opportunities, and challenging traditional employment paradigms. Join us as we explore how AI is redefining work, the skills needed for the future, and the balance between technological advancement and human potential. Tune in to understand the dynamics of this AI-driven era and what it means for the workforce of tomorrow.00:00 The Journey of Persistence02:46 The Importance of Personal Branding05:04 Navigating the AI Landscape10:26 The Future of Work and AI Displacement15:42 Ethics and Governance in AI20:54 The Power and Risks of AI Technology25:32 The Complexity of AI Threats29:14 The AI Arms Race32:52 Human Value in an AI-Driven World37:35 The Reliability of AI as a Fact Checker39:56 Understanding AI Bias and Transparency47:49 Navigating AI Governance and SecurityFollow the Podcast on Social Media!Tesla Referral Code: https://ts.la/joseph675128YouTube:    / @securityunfilteredpodcast  Instagram:   / @secunfpodcast  Twitter:   / @secunfpodcastSupport the showFollow the Podcast on Social Media! Tesla Referral Code: https://ts.la/joseph675128 YouTube: https://www.youtube.com/@securityunfilteredpodcast Instagram: https://www.instagram.com/secunfpodcast/Twitter: https://twitter.com/SecUnfPodcast

SummaryIn this episode of AI in Action, hosts Maurie and Jim Beasley discuss the implications of artificial intelligence in education, particularly focusing on Grammarly's new AI features that predict paper grades. They explore the tension between AI and English departments, the definition of critical thinking, and the economic viability of college degrees. The conversation emphasizes the need to shift from product-oriented assessments to process-oriented learning, highlighting the evolving landscape of education in the age of AI.TakeawaysGrammarly's AI can predict paper grades, raising concerns.AI is seen as a threat by many English teachers.Writing has become a proxy for measuring critical thinking.Economic viability of degrees is increasingly scrutinized.AI will change how critical thinking is assessed in education.The focus on writing may limit broader critical thinking skills.Colleges face declining enrollment due to economic pressures.AI tools can enhance learning if used correctly.Teachers struggle to adapt to the integration of AI in classrooms.The future of education requires a shift in assessment methods.Chapters00:00 Introduction to AI in Action00:58 AI in Education: Grammarly's New Features06:11 AI vs. English Departments: A Teacher's Perspective10:50 Defining Critical Thinking in the Age of AI20:06 Economic Viability and the Value of Degrees28:09 Shifting from Product to Process in Education34:52 Conclusion: The Future of Writing and Critical Thinking

Hospitality Marketing with AI is redefining how hotels, resorts, and short-term rentals attract guests — and in this episode, Sarah Stahl reveals proven strategies to thrive in this AI-driven era.With over 15 years of marketing experience, Sarah helped a treehouse resort grow from 6 to 21 units while achieving an unprecedented 93% direct bookings. She shares her playbook on blending AI in travel industry tools, influencer marketing strategies, and PR and discoverability to outperform competitors and reduce reliance on OTAs like Airbnb.If you've been searching for ways to:Rank higher through ChatGPT for SEO and LLM discoverabilityBreak free from Airbnb with direct booking strategiesBuild guest trust using influencer marketing strategiesLeverage synthetic data marketing for precision targetingBoost occupancy in glamping marketing and short-term rental marketing…this episode delivers answers, examples, and actionable steps.Sarah's expertise meets your business needs by addressing the exact search intent of hospitality professionals: how to get found, how to book more guests directly, and how to future-proof your marketing against rapid tech changes. Through real-world results and tested tactics, you'll gain insight and wisdom to solve discoverability challenges and drive bookings without being dependent on Airbnb.Whether you run a vacation rental, a boutique hotel, or a luxury resort, this conversation equips you with the strategies to compete smarter in the age of AI.⏱ Timestamps (20:24)0:00 Intro & Sarah Stahl's Background1:00 How Sarah Achieved 93% Direct Bookings2:30 AI in Travel Industry: ChatGPT Search & LLM Discoverability4:50 Why PR Is the New SEO for Hospitality6:15 Influencer Marketing Strategies that Build Trust8:40 Overcoming Airbnb Dependence10:30 Website Storytelling for AI Search Optimization12:20 Glamping Marketing & Niche Property Growth14:10 Airbnb Alternatives & Rising Guest Demand for Unique Stays15:30 How Synthetic Data Marketing Shapes Strategy17:00 ChatGPT for SEO vs. Other AI Tools18:30 Preparing for the Future of Hospitality Marketing with AI20:00 Closing Thoughts & Where to Find Sarah Stahl#HospitalityMarketingWithAI#AIinTravelIndustry#ChatGPTforSEO#InfluencerMarketingStrategies#ShortTermRentalMarketing#DirectBookingStrategies#PRandDiscoverability#LLMDiscoverability#GlampingMarketing#AirbnbAlternatives#SyntheticDataMarketing#SarahStahlTo check out the YouTube (video podcast), visit: https://www.youtube.com/@drchrisloomdphdDisclaimer: Not advice. Educational purposes only. Not an endorsement for or against. Results not vetted. Views of the guests do not represent those of the host or show.  Click here to join PodMatch (the "AirBNB" of Podcasting): https://www.joinpodmatch.com/drchrisloomdphdWe couldn't do it without the support of our listeners. To help support the show:CashApp- https://cash.app/$drchrisloomdphdVenmo- https://account.venmo.com/u/Chris-Loo-4Spotify- https://podcasters.spotify.com/pod/show/christopher-loo/supportBuy Me a Coffee- https://www.buymeacoffee.com/chrisJxClick here to purchase my books on Amazon: ⁠https://amzn.to/2PaQn4p⁠Follow our YouTube channel: https://www.youtube.com/chL1357Follow us on Twitter: https://www.twitter.com/drchrisloomdphdFollow us on Instagram: https://www.instagram.com/thereal_drchrislooFollow the podcast on Spotify: https://open.spotify.com/show/3NkM6US7cjsiAYTBjWGdx6?si=1da9d0a17be14d18Subscribe to our Substack newsletter: https://substack.com/@drchrisloomdphd1Subscribe to our LinkedIn newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=6992935013231071233Subscribe to our email list: https://financial-freedom-podcast-with-dr-loo.kit.com/Thank you to all of our sponsors and advertisers that help support the show!Financial Freedom for Physicians, Copyright 2025

 AI is changing how we travel—and raising big questions about who gets left behind.In this episode, host Kim Anderson sits down with Ross Borden,  the founder of Matador Network to explore how artificial intelligence is turning the travel world upside down. From simplifying trip planning to disrupting the creator economy, this conversation dives deep into the promise—and the peril—of a new era.You'll hear how Matador's GuideGeek AI is reshaping the way travelers find information, why personalization is becoming the norm, and how brands are racing to keep up. But it's not just about innovation: Ross shares honest reflections on the ethical challenges of AI, the environmental impact of large-scale data models, and what all of this means for the future of authentic travel storytelling.What you'll learn in this episode:The inspiration behind building an AI travel assistant and what it can (and can't) doHow AI is eroding traditional web traffic and changing how creators earn a living (spoiler alert: it's not al doom and gloom!)Why ethical considerations, accuracy, and sustainability matter more than everWhether you're a digital creator, an avid traveler, or simply curious about where technology is taking us next, you'll walk away with fresh insights and maybe a few tough questions to ponder.RESOURCES:Connect with Ross on Instagram & Matador Network WebsiteGuideGeek⚡️ROUND travel tip: Skip the crowds at Muir Woods and check out the redwoods on Stinson Beach Steep Ravine Trail instead.Like this? Try these epsiodes:Behind the Scenes of a Delta Brand Ambassador: FromCorporate Girlie to Full Time Travel Creator w/ Your Travel BFF Janelle on a Jet #129Below Deck IRL: How to Work on Superyachts and Get Paid to Travel w/ Hugo Ortega #132Astrotourism 101: How to Plan the Ultimate Stargazing, Dark Sky, and Northern Lights Trip w/ Stephanie Vermillion #172EPISODE DETAILS:07:41 - Even with the rise of AI creators will become14:54 - Websites that are not AI-centred 16:05 - Optimized for AI20:40 - Double down on your own experience 21:47 - Branch out31:11 - To keep your environmental footprint down23:36 - Be as specific Support the showTravel Longer with Less Money—Download Your FREE GUIDE & Start Exploring! Let's connect on Instagram! @DesignHerTravel Get $20 when you Sign-Up for Buzzsprout

Is it possible to earn $1.5M without owning real estate? Can Airbnb automation replace a 9–5? Can systems outwork people—without burnout?Adam Hager, co-founder of Airpreneur, has assisted over 350 clients in establishing profitable Airbnb businesses through his mentorship platform. His expertise lies in automation, systems thinking, and the Airbnb arbitrage model, which he used to rapidly scale his own portfolio from zero to 19 units within a year. This expansion generated over $150,000 in revenue with a 55% profit margin, all without owning any properties.Adam shares actionable insights on cracking open the “arbitrage” business model, where to find the best rental opportunities, how to automate guest experiences, and why AI is revolutionizing the short-term rental market. From building five-star hospitality systems to tapping into Airbnb's new “Experiences” platform for additional side income, Adam reveals how anyone can build freedom and security in today's shifting, tech-driven landscape.In this conversation, you'll learn:The insider playbook for Airbnb arbitrage—making $1,000 or more per property each month by leasing, not owning.Next-level automation and AI tools to skyrocket your passive income and guest reviewsHow to tap into the brand new Airbnb Experiences for repeat guests and extra referral revenue, before everyone else catches on.Proven frameworks and systems to scale from your first deal to 7-10 properties (or more).Takeaways:Rental arbitrage workAutomation and AI = ScaleCapitalize on new revenue with experiencesConnect with Adam Hager:Instagram: https://www.instagram.com/adam_airpreneur/Timestamps:00:00 – Demystifying Airbnb: You don't need a beachfront home to get started02:03 – The business model: Airbnb arbitrage and how to profit without ownership03:26 – What's hardest: Finding properties, guests, or managing the process?04:14 – Scaling up: Using AI and automation for listings, portals, and reviews07:16 – Is this business real estate or digital marketing?09:22 – The critical importance of five-star reviews and Superhost status13:14 – Maximizing income: Add-ons, upsells, and Airbnb Experiences17:43 – Building for scale: Automating, hiring, and leveraging training assets with AI20:02 – The future of work: Why skill-building and risk taking are essential in the AI era22:39 – Systematizing hospitality: Training, onboarding, and SOPs for repeatable success26:15 – Special listener offer: Free Cash Flow Quick Start Kit and clarity session_____________________________________________

Emerging markets are reshaping the global economy, and a convergence of powerful, long-term trends is accelerating this shift. These include surging demand for commodities, exploding middle-class spending power and booming inter-regional trade. Investment specialist Andrew Keiller reveals some of the standout growth companies positioned to capitalise on this transformation and why now might be the perfect time to take advantage. Background:Andrew Keiller is a partner in Baillie Gifford and an investment specialist in our Emerging Markets Clients Team.In this episode, he discusses how some of the fastest-growing developing economies are driving change in the world and the forces that could further hasten that trend. The discussion builds on his recent paper, Emerging markets in 2050: growth in a changing world, which identifies long-term structural shifts tilting the odds in favour of standout companies in Asia, Latin America and eastern Europe. In the podcast, he expands on this by identifying some of the companies that could be big winners, including:the lithium miner SQM (Sociedad Química y Minera de Chile), which is set to benefit from a mismatch in supply and demand for the critical ingredient to electric car batteries and other energy storage systems the South Korean high bandwidth memory chipmaker, SK Hynix, whose products are critical to training artificial intelligence systems at speedthe ‘super-app' operator Kaspi.kz, which provides everything from bill payments, banking and travel bookings to shopping, maps and messaging  the Singaporean ecommerce, fintech and gaming conglomerate Sea, whose chief executive has ambitions to extend into further sectorsChina's biggest coffee chain, Luckin Coffee, which is giving the country's 1.4 billion citizens a passion for the beverage with its ever-changing menu of inventive recipes In addition, Keiller discusses the implications of President Trump's tariffs and why many Chinese companies still offer an exciting investment opportunity. Resources: Emerging markets in 2050: growth in a changing worldEmerging markets: our philosophyEmerging markets: rethinking the opportunityFinding high-calibre growth companies in emerging markets (podcast)Luckin Coffee: looking forwardKaspi's super-appSouth-east Asia's rising export stars (podcast)SQM: powering the futureThe Time-Travelling Economist by Charlie Robertson Companies mentioned include:Kaspi.kzLuckin CoffeeSeaSK HynixSQMTimecodes:00:00  Introduction01:35  Baillie Gifford beginnings and a trip to Hong Kong03:15  Transformational trends playing out to 2050 and beyond05:05  US exceptionalism and multiple spheres of influence07:25  Rising trade between emerging market nations08:35  Redesigning Chinese e-scooters for Vietnam and the Philippines10:15  The possibility of reduced reliance on the US dollar11:40  Increasing demand for raw materials and semiconductors12:35 Digital-first companies and underserved communities 14:45  Four types of firms capitalising on long-term growth factors16:25  SQM's lithium mines in Chile's Atacama Desert17:55  Lithium's long-term commodity cycle opportunity18:45  SK Hynix's high bandwith memory and its role in AI20:40  Kaspi.kz's Kazakh super-app21:40  Kaspi's expansion plans in Uzbekistan and beyond23:00  Sea's founder Forrest Li and importance of culture24:30  Luckin Coffee's huge domestic opportunity25:25  Luckin's taste for invention26:40  Investing in China amid a trade clash28:50  The risk of underexposure29:40  Book choice30:55  Investing in Africa

Send us a textIn-Depth Conversation on Telecom and Personal Growth with Charlie RodriguezIn this episode of The Wireless Way, host Chris Whitaker interviews long-time friend Charlie Rodriguez, a seasoned telecom professional. The conversation kicks off with personal anecdotes and an apology from Chris for the delayed invite. Charlie shares his inspiring journey of overcoming personal struggles, including battling alcohol addiction and coping with the loss of his daughter to cancer. He also discusses his professional achievements and the evolution of the telecom channel, especially post-COVID. The episode dives deep into the cutting-edge solutions offered by KORE Wireless, focusing on purpose-built devices in healthcare and other industries. The discussion aims to motivate, educate, and inspire listeners, making it a must-watch for anyone interested in telecom innovations and personal resilience. Don't miss this heartfelt and insightful conversation!00:00 Introduction and Guest Apology00:39 Charlie's Professional Background03:11 Personal Struggles and Triumphs04:59 Overcoming Alcoholism11:29 Charlie's Journey into Telecom14:09 Reflections on the Telecom Industry14:29 Career Journey at KORE Wireless15:43 Changes in the Channel Post-COVID16:44 Challenges in Partner Engagement19:01 The Evolution of IoT and AI20:45 Winning with Purpose-Built Devices21:18 Healthcare Solutions and RPM23:12 The Importance of Purpose-Built Devices28:03 KORE's Comprehensive Solutions30:04 Conclusion and Final ThoughtsMore about CharlieMore about KORESupport the showCheck out my website https://thewirelessway.net/ use the contact button to send request and feedback.

Join us for an insightful conversation with Ben Tasker, Dean of AI, who shares his journey through AI and its application in the educational sector. Ben discusses his transition from healthcare administration to becoming a key player in AI at Southern New Hampshire University. He explains the importance of upskilling and reskilling, the future of continuous education, and how AI will transform learning. Discover how AI can personalize education, increase accessibility, and create new roles and opportunities. Perfect for educators, professionals, and anyone interested in the evolving landscape of AI and education.

AI and automation for solopreneurs is no longer optional—it's the secret weapon to scaling your business without stress or burnout. In this episode, we sit down with Andy Reinhold, founder of Studio Spark and former Deloitte consultant, who shares the exact frameworks, tools, and mindset shifts solopreneurs need to work smarter—not harder.If you're searching for ways to stop the constant grind, this conversation delivers what you've been looking for. Andy breaks down how to leverage AI tools for entrepreneurs and build systems that replace repetitive tasks, unlock time, and support your solopreneur productivity.He explains how to create automation in small business that streamlines marketing, sales, operations, and finance using tools like ChatGPT for business, Make.com vs Zapier, and Airtable—even if you're not technical. You'll learn how Andy turned his burnout into a blueprint and how you can do the same.This episode is for those wanting to:Escape burnout and entrepreneurship overwhelmBuild repeatable lead-gen or content systems that convertAlign your business with values like authenticity, freedom, and self-careScale with AI-powered workflows—not sleepless nightsPacked with real strategies and step-by-step examples, this conversation shows how to go from reactive to automated while still staying human.00:00 – Intro: Who is Andy Reinhold?01:15 – From Deloitte to burnout: his transformation story04:10 – How cancer & family loss reshaped his priorities06:30 – Why AI & automation became his new mission08:10 – The “No-Hustle Blueprint” explained10:45 – Tools that save time: ChatGPT, Make.com, Airtable13:00 – Learning AI as a non-technical solopreneur15:15 – Automating 90% of busy work (and staying human)17:20 – Creating content that converts with AI20:00 – Aligning your business with your values21:45 – How to connect with AndyTo check out the YouTube (video podcast), visit: https://www.youtube.com/@drchrisloomdphdDisclaimer: Not advice. Educational purposes only. Not an endorsement for or against. Results not vetted. Views of the guests do not represent those of the host or show.  Click here to join PodMatch (the "AirBNB" of Podcasting): https://www.joinpodmatch.com/drchrisloomdphdWe couldn't do it without the support of our listeners. To help support the show:CashApp- https://cash.app/$drchrisloomdphdVenmo- https://account.venmo.com/u/Chris-Loo-4Spotify- https://podcasters.spotify.com/pod/show/christopher-loo/supportBuy Me a Coffee- https://www.buymeacoffee.com/chrisJxClick here to schedule a 1-on-1 private coaching call: https://www.drchrisloomdphd.com/book-onlineClick here to check out our bookstore, e-courses, and workshops: https://www.drchrisloomdphd.com/shopClick here to purchase my books on Amazon: https://amzn.to/2PaQn4pFor audiobooks, visit: https://www.audible.com/author/Christopher-H-Loo-MD-PhD/B07WFKBG1FFollow our YouTube channel: https://www.youtube.com/chL1357Follow us on Twitter: https://www.twitter.com/drchrisloomdphdFollow us on Instagram: https://www.instagram.com/thereal_drchrislooFollow us on Threads: https://www.threads.net/@thereal_drchrislooFollow us on TikTok: https://www.tiktok.com/@drchrisloomddphdFollow our Blog: https://www.drchrisloomdphd.com/blogFollow the podcast on Spotify: https://open.spotify.com/show/3NkM6US7cjsiAYTBjWGdx6?si=1da9d0a17be14d18Subscribe to our Substack newsletter: https://substack.com/@drchrisloomdphd1Subscribe to our Medium newsletter: https://medium.com/@drchrisloomdphdSubscribe to our LinkedIn newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=6992935013231071233Subscribe to our email list: https://financial-freedom-podcast-with-dr-loo.kit.com/Thank you to all of our sponsors and advertisers that help support the show!Financial Freedom for Physicians, Copyright 2025

Andrew Beer returns to confront a moment of reckoning for trend following. As managed futures suffer one of their worst periods in decades, he and Niels explore a deeper question: has the strategy evolved in ways that undermine its edge? From the seduction of short-term models to the unintended consequences of complexity, this conversation traces how well-meaning enhancements may be compounding the very problems they aim to solve. Layer in political volatility, crowded positioning, and allocator fatigue, and the path forward looks less like innovation and more like rediscovery. This episode isn't a defense of recent results... it's a clear-eyed look at what happens when a strategy built on discipline gets pulled off course, and what it takes to steer it back.-----50 YEARS OF TREND FOLLOWING BOOK AND BEHIND-THE-SCENES VIDEO FOR ACCREDITED INVESTORS - CLICK HERE-----Follow Niels on Twitter, LinkedIn, YouTube or via the TTU website.IT's TRUE ? – most CIO's read 50+ books each year – get your FREE copy of the Ultimate Guide to the Best Investment Books ever written here.And you can get a free copy of my latest book “Ten Reasons to Add Trend Following to Your Portfolio” here.Learn more about the Trend Barometer here.Send your questions to info@toptradersunplugged.comAnd please share this episode with a like-minded friend and leave an honest Rating & Review on iTunes or Spotify so more people can discover the podcast.Follow Andrew on Twitter.Episode TimeStamps: 03:20 - Reflecting on Apple and China's Tech Revolution17:28 - Shifts in the Market Landscape: The Influence of Trump and AI20:03 - The Dynamics of Negotiation in Real Estate30:15 - Market Dynamics and the Role of Central Banks39:26 - The Changing Dynamics of Market Trends48:00 - Evaluating Investment Strategies and Performance53:19 - Navigating Market Challenges and Expectations01:08:34 - The Future of Investment Strategies01:11:10 - Navigating Market ChangesCopyright © 2024 – CMC AG – All Rights Reserved----PLUS: Whenever you're ready... here are 3 ways I can help you in your investment...

Essential AI Tools for Speakers and Coaches: Enhance Your Content CreationSummaryIn this episode of Present Influence, host John Ball explores various AI tools that can significantly benefit speakers, coaches, and consultants. He discusses tools such as Google Gemini, ChatGPT, Claude, Grammarly, Canva, Descript, Riverside, and Adobe Enhance, sharing his experiences and recommendations on how these tools can aid in content creation, video editing, and more. There is also mention of how these AI tools can be used to enhance productivity and the importance of maintaining human creativity alongside AI usage. Do you want the free report on AI tools I mentioned in the episode? You can download it here: AI Tools For Speakers & Coaches Shoot me an email if you can't download it.Chapters00:00 Introduction to AI Tools for Speakers and Coaches01:28 Overview of Popular AI Tools03:29 Content Creation and Note-Taking Tools04:32 Enhancing Professional Communication05:44 Design and Visual Content Tools08:21 Video and Audio Editing Tools13:46 Google Workspace Tips and Tricks17:46 Ethical Considerations and Future of AI20:23 Conclusion and Upcoming EpisodesGo to presentinfluence.com to take the Speaker Strengths Archetype Assessment and discover your greatest strengths as a speaker as well as where to focus for growth. For speaking enquiries or to connect with me, you can email john@presentinfluence.com or find me on LinkedInThanks for listening, and please give the show a 5* review if you enjoyed it.

In this episode of the Crazy Wisdom Podcast, I, Stewart Alsop, speak with Perry Knoppert, founder of The Octopus Movement, joining us from the Netherlands. We explore everything from octopus facts (like how they once had bones and decided to ditch them—wild, right?) to neurodivergence, non-linear thinking, the alien-like nature of both octopuses and AI, and how the future of education might finally reflect the chaos and creativity of human intelligence. Perry drops insight bombs on ADHD, dyslexia, chaos as a superpower, and even shares a wild idea about how frustration—not just ideas—can shape the world. You can connect with him and explore more at theoctopusmovement.org, and check out his playful venting app at tellTom.ink.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:31 Fascinating Facts About Octopi02:03 The Octopus Movement: Origins and Symbolism05:55 Exploring Neurodivergence and AI20:15 The Future of Education with AI29:48 Challenges in the Dutch Education System30:59 Educational Pathways in the US31:50 Exploring Neurodiversity32:34 The Origin of Neurodiversity34:34 Nomadic DNA and ADHD36:02 Personal Nomadic Experiences37:20 Cultural Insights from China41:59 Trust in Different Cultures44:20 The Foreigner Experience52:21 Artificial and Natural Intelligence55:11 The Octopus Movement and Tell Tom AppKey InsightsNeurodivergence isn't a superpower—it's a different lens on reality. Perry challenges the popular narrative that conditions like ADHD or dyslexia are inherently "superpowers." Instead, he sees them as part of a broader, complex human experience—often painful, often misunderstood, but rich with potential once liberated from linear systems that define what's "normal."AI is the beautiful product of linear thought—and it's freeing us from it. Perry reframes artificial intelligence not as a threat, but as the ultimate tool born from centuries of structured, logical thinking. With AI handling the systems and organization, humans are finally free to return to creativity, chaos, and nonlinear, intuitive modes of intelligence that machines can't touch.Octopuses are the ultimate symbol of curious misfits. The octopus—alien, adaptable, emotion-rich—becomes a metaphor for people who don't fit the mold. With three hearts, nine brains, and a decentralized nervous system, octopuses reflect the kind of intelligence and distributed awareness Perry celebrates in neurodivergent thinkers.Frustration is more generative than ideas. In one of the episode's most unexpected insights, Perry argues that frustration is a more powerful starting point for change than intellectual ideation. Ideas are often inert without action, while frustration is raw, emotional, and deeply human—fuel for meaningful transformation.Education needs to shift from repetition to creation. The current model of education—memorization, repetition, testing—serves linearity, not creativity. With AI taking over traditional knowledge tasks, Perry envisions classrooms where kids learn how their minds work, engage with the world directly, and practice making meaning instead of memorizing facts.Being a foreigner is a portal to freedom. Living in unfamiliar cultures (like Perry did in China or Stewart in Argentina) reveals the absurdities of our own norms and invites new ways of being. Foreignness becomes a superpower in itself—a space of lowered expectations, fewer assumptions, and greater possibility.Labels like “neurodivergent” are both helpful and illusory. While diagnostic labels can offer relief and clarity, Perry warns against attaching too tightly to them. These constructs are inventions of linear thought, useful for navigating systems but ultimately limiting when it comes to embracing the full, messy, nonlinear reality of being human.

This week we discussed if the Blackrock and the Panema Canal, Turkey Protests, Advances in Ai, Dr's liable for C19 effects,dangers in Mc Donalds fries and healthy Oils to use plus more About my Co-Host:Arnold Beekes Innovator, certified coach & trainer and generalist. First 20 years in technology and organizational leadership, then 20 years in psychology and personal leadership (all are crucial for innovation).============What we Discussed:  00:00 What we are discussing in this weeks show  01:35 Plane Crashes02:35 Fire in Heathrow Airport03:10 Turkey Protests04:30 Turkey is a nice place to go on Holiday05:15 The Giza Pyramids below the surface07:50 Blackrock and the Panema Canal09:55 Abolishing the Department of Education11:20 Teacher explaining what is happening in Public Education15:05 Humanoid Robots16:45 Mirage an Ai tool19:45 The people that will lose their jobs to Ai20:55 DOBOT Robot from China23:10 Sick Care System25:20 Salutogenesis27:10 Dr's liable for Covid Injections30:00 Mc Donalds Vs Spinach33:50 The Ant Test34:20 Which Oils are Dangerous35:55 Oils that are Safe36:45 GDPR in Australia Shopping Centers forSelf checkouts39:20 Alternative Energy42:00 Airport are full of Toxic FrequenciesLinks for this Episode:https://www.honest-broker.com/p/whats-happening-to-studentshttps://www.europereloaded.com/european-court-of-justice-doctors-will-be-solely-responsible-for-the-consequences-of-covid-injections/https://www.dobot-robots.com/insights/case-studies/dobot-atom.html====================How to Contact Arnold Beekes:https://braingym.fitness/https://www.linkedin.com/in/arnoldbeekes/===============Donations ⁠⁠https://www.podpage.com/speaking-podcast/support/⁠⁠------------------All about Roy / Brain Gym & Virtual Assistants athttps://roycoughlan.com/------------------

KeywordsBitcoin mining, publicly traded companies, ETFs, Bitcoin holdings, revenue generation, market strategies, AI, hash rate, capital management, digital infrastructureSummaryThis conversation delves into the intricacies of publicly traded Bitcoin mining companies, exploring their business models, strategies for accumulating Bitcoin, and the impact of ETFs on the market. The panelists discuss the challenges faced by miners, the importance of capital management, and the evolving landscape of Bitcoin mining in relation to AI and other technologies. They emphasize the need for transparency and operational excellence in a competitive market, while also predicting future trends in hash rates and market dynamics.TakeawaysPublicly traded Bitcoin miners face unique challenges in capital management.The introduction of ETFs has changed the competitive landscape for miners.Companies need to focus on accumulating Bitcoin per share rather than just revenue.There is a growing bifurcation in mining strategies among companies.Operational excellence and transparency are crucial for attracting investors.The market is beginning to reward companies that manage capital effectively.Miners must adapt to evolving financial products and market conditions.AI and HPC are emerging as potential revenue streams for miners.The future of Bitcoin mining is intertwined with regulatory developments.Hash rate predictions indicate significant growth in the coming years.Chapters00:00 Welcome to the Bitcoin Park Summit02:34 The Landscape of Publicly Traded Bitcoin Miners05:25 Business Models in Bitcoin Mining08:15 Capital Management and Market Dynamics11:35 The Role of ETFs and Competition14:29 Operational Excellence in Bitcoin Mining17:15 Future of Bitcoin Mining vs AI20:37 Navigating Market Challenges23:25 Final Thoughts and Predictions

On this episode of Crazy Wisdom, Stewart Alsop welcomes Andrew Burlinson, an artist and creative thinker, for a deep conversation about technology, creativity, and the human spirit. They explore the importance of solitude in the creative process, the addictive nature of digital engagement, and how AI might both challenge and enhance human expression. Andrew shares insights on the shifting value of art in an AI-driven world, the enduring importance of poetry, and the unexpected resurgence of in-person experiences. For more on Andrew, check out his LinkedIn and Instagram.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction and Guest Welcome00:27 Meeting in LA and Local Insights01:34 The Creative Process and Technology03:47 Balancing Solitude and Connectivity07:21 AI's Role in Creativity and Productivity11:00 Future of AI in Creative Industries14:39 Challenges and Opportunities with AI16:59 AI in Hollywood and Ethical Considerations18:54 Silicon Valley and AI's Impact on Jobs19:31 Navigating the Future with AI20:06 Adapting to Rapid Technological Change20:49 The Value of Art in a Fast-Paced World21:36 Shifting Aesthetics and Cultural Perception22:54 The Human Connection in the Age of AI24:37 Resurgence of Traditional Art Forms27:30 The Importance of Early Artistic Education31:07 The Role of Poetry and Language35:56 Balancing Technology and Intention37:00 Conclusion and Contact InformationKey InsightsThe Importance of Solitude in Creativity – Andrew Burlinson emphasizes that creativity thrives in moments of boredom and solitude, which have become increasingly rare in the digital age. He reflects on his childhood, where a lack of constant stimulation led him to develop his artistic skills. Today, with infinite digital distractions, people must intentionally carve out space to be alone with their thoughts to create work that carries deep personal intention rather than just remixing external influences.The Struggle to Defend Attention – Stewart and Andrew discuss how modern digital platforms, particularly social media, are designed to hijack human attention through powerful AI-driven engagement loops. These mechanisms prioritize negative emotions and instant gratification, making it increasingly difficult for individuals to focus on deep, meaningful work. They suggest that future AI advancements could paradoxically help free people from screens, allowing them to engage with technology in a more intentional and productive way.AI as a Creative Partner—But Not Yet a True Challenger – While AI is already being used in creative fields, such as Hollywood's subtle use of AI for film corrections, it currently lacks the ability to provide meaningful pushback or true creative debate. Andrew argues that the best creative partners challenge ideas rather than just assist with execution, and AI's tendency to be agreeable and non-confrontational makes it a less valuable collaborator for artists who need critical feedback to refine their work.The Pendulum Swing of Human and Technological Aesthetics – Throughout history, every major technological advancement in the arts has been met with a counter-movement embracing raw, organic expression. Just as the rise of synthesizers in music led to a renewed interest in acoustic and folk styles, the rapid expansion of AI-generated art may inspire a resurgence of appreciation for handcrafted, deeply personal artistic works. The human yearning for tactile, real-world experiences will likely grow in response to AI's increasing role in creative production.The Enduring Value of Art Beyond Economic Utility – In a world increasingly shaped by economic efficiency and optimization, Andrew stresses the need to reaffirm the intrinsic value of art. While capitalism dominates, the real significance of artistic expression lies in its ability to move people, create connection, and offer meaning beyond financial metrics. This perspective is especially crucial in an era where AI-generated content is flooding the creative landscape, potentially diluting the sense of personal expression that defines human art.The Need for Intentionality in Using AI – AI's potential to streamline work processes and enhance creative output depends on how humans choose to engage with it. Stewart notes that while AI can be a powerful tool for structuring time and filtering distractions, it can also easily pull people into mindless consumption. The challenge lies in using AI with clear intention—leveraging it to automate mundane tasks while preserving the uniquely human aspects of ideation, storytelling, and artistic vision.The Role of Poetry and Language in Reclaiming Humanity – In a technology-driven world where efficiency is prioritized over depth, poetry serves as a reminder of the human experience. Andrew highlights the power of poets and clowns—figures often dismissed as impractical—as essential in preserving creativity, playfulness, and emotional depth. He suggests that valuing poetry and artistic language can help counterbalance the growing mechanization of culture, keeping human expression at the forefront of civilization's evolution.