Podcasts about data ai

In today's Cloud Wars Minute, I look at why two of the fastest-growing Cloud Wars companies are joining forces around data, AI, and industry solutions. Highlights 00:03 — When heavy weather rolls in, it's good to have friends around. It's good to have partnerships, and I don't think the AI Revolution is so much heavy weather, but that depends on how well prepared businesses are to take advantage of it, how aggressively, how thoughtfully they're moving into this AI Revolution. 00:41 — It's interesting, Google Cloud and Palantir, on the Cloud Wars Top 10, these are the two fastest-growing companies. Google Cloud grew 63%; Palantir grew 70%. Palantir's commercial business grew 133% in the first quarter, so they've got enormous momentum. 01:30 — The Palantir Foundry platform for enterprise data management is now available on Google Cloud infrastructure and on the Google Cloud Marketplace. Google Cloud and Palantir have built connectors between Foundry and Google Cloud's BigQuery, allowing data from those platforms and others to be pulled together for businesses to analyze. 02:09 — Not just the technical integrations, which have to happen, but also this desire for these two companies to say, "We're going to jointly develop industry-specific solutions around data and AI for vertical markets." The first two they picked are retail and financial services. 03:15 — This is a dream partnership, I think. And it's also probably an example of how, with the enormity of the prospects of what can happen here in the AI Revolution, we're going to see more of the Cloud Wars Top 10 companies form these sorts of wide-ranging partnerships. 04:19 — There's a big emphasis from both of these companies on keeping things open and fully accessible for whichever specific routes customers want to take. We're seeing these inextricably bound connections here through this partnership of data, which is the fuel for AI, helping companies transform into AI-powered enterprises. Visit Cloud Wars for more.

Tommy Cotter is Director of Data Products at Benzinga, a financial media company building the data infrastructure that sits behind trading platforms and investment apps used by millions of people daily. He's been navigating the shift to AI-assisted workflows in a space where speed and accuracy aren't just nice to have - getting it wrong has real consequences.In this episode, Peter and Dave talk with Tommy about what it actually looks like to build data products responsibly in a fast-moving AI environment. They get into where humans still need to be in the loop, how compliance has become a competitive signal, and why being nimble matters more than picking the perfect architecture from day one.Three things to take away from this conversation:Self-agency is real now. If you have a strong conviction about a product or problem, the barrier to building something has never been lower. That's a genuine shift from even five years ago.Security and compliance are no longer just internal concerns. In a world where AI startups spin up overnight, having invested in SOC2 or GDPR signals to customers that you're a legitimate, trustworthy operation. It's a market differentiator.Humans still belong in the system. Not everywhere, but in the right places. For low-risk, deterministic processes, let AI run. For anything client-facing or accuracy-critical, keep a human in the loop. Knowing the difference is the skill.If this conversation sparked something for you, send us your thoughts at feedback@definitelymaybeagile.com. And if you haven't already, hit subscribe so you don't miss the next one.

Nicolai Tangen sits down with Sridhar Ramaswamy, CEO of Snowflake, the data platform powering half the world's largest companies, to explore what's really happening at the frontier of data and AI. They dig into how Snowflake's consumption-based pricing sets it apart from traditional software models, why Sridhar now considers AI model companies a bigger competitive threat than anyone else in tech, and how AI agents are transforming everything from data pipelines to software engineering itself. Sridhar also reflects on the lessons learned from founding and failing with Neva, and shares the values of hard work, adaptability, and resilience that have shaped him from Tamil Nadu to the top of the tech industry. Tune in for an insightful conversation! In Good Company is hosted by Nicolai Tangen, CEO of Norges Bank Investment Management. New full episodes every Wednesday, and don't miss our Highlight episodes every Friday. The production team for this episode includes Isabelle Karlsson and PLAN-B's Niklas Figenschau Johansen and Sebastian Langvik-Hansen. Background research was conducted by Simran Sahajpal. Watch the episode on YouTube: Norges Bank Investment Management - YouTubeWant to learn more about the fund? The fund | Norges Bank Investment Management (nbim.no)Follow Nicolai Tangen on LinkedIn: Nicolai Tangen | LinkedInFollow NBIM on LinkedIn: Norges Bank Investment Management: Administrator for bedriftsside | LinkedInFollow NBIM on Instagram: Explore Norges Bank Investment Management on Instagram Hosted on Acast. See acast.com/privacy for more information.

En este episodio Tito Neira conversa con Alejandro Correa Bahnsen (VP de Data & AI en GBM, PhD en Machine Learning, ex-Rappi y ex-Kavak) sobre por qué la mayoría de las empresas que "adoptan IA" no van a ver ningún resultado. Comprar la tecnología no es transformar: si no cambias tus procesos, en dos años vas a decir que "la IA no funcionó". Hablan de por qué los RAGs fallan en producción, qué son los EVALS (el tema del que nadie habla), por qué los Jupyter Notebooks son el nuevo Excel, y cómo el rol de Data/AI pasó de área de soporte a dueño de los KPIs del negocio.00:00 Intro y quién es Alejandro Correa02:39 Por qué los RAGs no funcionan en la práctica05:06 Cuándo sí usar RAG vs SQL06:45 Agentes: drag-and-drop vs agents as code11:18 EVALS: el tema del que nadie habla15:05 ¿Cuándo confiar en sacar la IA a producción?17:26 ¿Vale la pena cambiar de modelo cada semana?22:27 Los notebooks son el nuevo Excel27:07 Por qué dejó Python por TypeScript29:45 El rol de Data/AI: de soporte a dueño del negocio35:01 Predicción a 2 años: comprar IA no es transformar38:18 Cierre✩ CURSOS DISPONIBLES

The following article of the AI Cloud & Data industry is: 'In Data We Trust: How First-Party Data, AI Drive Monetization' by Yassef Lotina, CEO, Datawifi. 

Everyone says they are one-shotting workflows with AI. We brought on the guy who can tell us what's actually happening in middle-market private equity companies. Kyle Roemer, Head of Data & AI at Accordion, has a unique view because his firm advises over 350+ private equity clients. He can see what's real and what's hype, and Accordion has the Ramp data to tell the difference. Kyle walks Devin through the rapid changes over the past year, function by function, so you can decide if you're ahead or behind. One prediction: the Office of the CFO will go through the biggest revolution over the next year, which they believe will "Make Finance Fun Again!" Kyle Roemer is the host of Accordion's podcast "AI & PE: The Future of Value Creation"  For more about Accordion visit accordion.com and reach out to Kyle and his team at ai@accordion.com. Also check out Accordion's latest AI white paper: "AI in PE: Ahead of the market, behind the curve" in partnership with Ramp to see where AI adoption stands

In this episode, Rick Anderson, Chairman and CEO at Hive Health, discusses his journey from helping launch WebMD to building companies focused on lowering the cost of care. He shares how Hive Health is using real-time pricing intelligence and AI-driven tools to help health systems reduce supply chain costs, improve operational efficiency, and navigate growing financial pressures across healthcare.

Podcast: Tech TransformedGuest: Mihir Nanavati, GM and Product Executive in MarTech and AdTechHost: Doug Laney, Research & Advisory Fellow at BARC and Author of Infonomics & Data JuiceAI might have overtaken the industry with processing data, automating workflows, and creating content. The next big thing could be a major one, says Mihir Nanavati, GM and Product Executive in MarTech and AdTech, “AI is moving from managing data to making decisions with it.”In the recent episode of the Tech Transformed podcast, host Doug Laney, Research & Advisory Fellow at BARC and Author of Infonomics & Data Juice, sat down with Nanavati to talk about a larger transformation in data and decision-making systems driven by AI.They particularly focus on the integration of agentic AI in marketing and customer data platforms. They explore the challenges of fragmentation in ad tech, the importance of connecting customer data to revenue outcomes, and the transformative role of AI in decision-making processes. Mihir shares insights on how companies can leverage AI to enhance their marketing strategies and the future of first-party data."This is not a cost exercise, it's about how much more you can get done and how many more ideas you can execute," said Nanavati.For years, enterprises went through waves of technological change, including cloud infrastructure, mobile platforms, and customer data platforms (CDPs). Each development helped enterprises collect, store, and manage larger amounts of data. However, Nanavati asserts that humans making most decisions will never change. Now, AI agents are introducing a new model.How AI has Moved from Data Navigation to Making DecisionsIn the past, customer data initiatives aimed to create a unified view of customers. Enterprises built warehouses, ETL pipelines, and data platforms that were designed to be reliable. However, Nanavati suggests that AI agents are changing these expectations. "Machines can reason, and that is fundamentally different."Rather than simply serving as another analytical feature in existing systems, AI agents are increasingly acting as decision-makers. They weigh trade-offs, learn from results, and execute plans based on specific goals.This change has significant implications for customer data platforms. CDPs are not just repositories for customer information now. Instead, they are becoming layers that enable intelligent actions."The role of customer data platforms is evolving into ‘how do you make meaning of this?'" While, decisions about which customer segment to target, which message to send, or which offer to present may increasingly be guided by AI-driven systems.What's the Fragmentation Problem in Modern AdTechWhile AI agents create new opportunities, Nanavati pointed out a persistent issue in the AdTech and MarTech ecosystem – fragmentation. Brands today tend to lean towards deploying multiple advertising and customer engagement platforms. These include social platforms, retail media networks, email tools, and specialised ad technologies. Each system may optimise effectively within its own space, but often fails to connect at the customer level.Nanavati calls it a "paradox of choice." "Each system is optimising locally for its own clicks and conversions, but none of that is coordinated at the consumer level."The result is a customer experience that many consumers notice, alluding to repeated retargeting for products they have already bought, irrelevant recommendations, or disconnected interactions across channels.As enterprises adopt AI agents, fragmented data environments may become an even bigger problem. AI systems can process information quickly, but they still rely heavily on context. "AI doesn't need perfect data in many cases, but it needs context."What's Next for Enterprise Tech?As AI adoption continues, Nanavati believes that successful enterprises will be recognised not by how many experiments they run, but by how fast they learn and use the results."Learn very rapidly. Then scale what you've learned." For leaders, this may require a stronger commitment than just isolated pilot programs or limited rollouts. It may also need organisational changes that place AI decision-making and customer context at the centre of growth strategies.For companies navigating the intersection of AI agents, CDPs, and customer data, the question may no longer be whether AI can automate processes. The ultimate question is about who is calling the shots.Key TakeawaysAI is fundamentally changing how decisions are made in marketing.The shift from third-party to first-party data is crucial for businesses.Fragmentation in ad tech leads to a paradox of choice for brands.Connecting customer data to revenue outcomes is essential for success.AI can help marketers make better decisions without needing perfect data.Customer data platforms are evolving to support real-time decision-making.Companies can run significantly more marketing experiments with AI.Leaders must personally drive change in their Enterprises.Successful AI implementation requires a focus on revenue outcomes.First-party data collection is becoming more sophisticated and essential.Chapters00:00 Navigating the Shift in Data and AI03:03 The Evolution of Decision-Making in Marketing05:55 Challenges of Fragmentation in Ad Tech09:00 Connecting Customer Data to Revenue Outcomes11:56 The Role of AI in Customer Data Platforms14:55 Real-World Applications of Agentic AI18:05 Blueconic's Approach to Customer Growth21:14 The Future of First-Party Data24:02 Building Habits for Successful AI ImplementationListen to the full episode of Tech Transformed for a deeper discussion on AI agents, customer data platforms (CDPs), first-party data strategies and the future of AdTech. Subscribe for upcoming episodes and join the conversation across our social channels.BlueConic LinkedIn: @BlueConicEM360Tech YouTube: @enterprisemanagement360EM360Tech LinkedIn: @EM360TechEM360Tech X: @EM360TechFor more information, please visit em360tech.com and blueconic.com.

Most sales teams are reactive — waiting for buyers to fill out a form, book a demo, or respond to an email. Tal Peretz, co-founder and CEO of OnFire AI, is building the infrastructure to change that. OnFire monitors millions of public signals across Reddit, Stack Overflow, LinkedIn, Slack, and technical forums to identify high-intent buyers before they ever contact your sales team.In this episode, Tal breaks down how AI is transforming go-to-market for companies selling to technical buyers — CTOs, CISOs, and engineers — who notoriously resist generic outreach and respond only to context-rich, well-timed conversations. Tal shares his journey from engineer to CEO, how he and his co-founder interviewed 275 revenue leaders before writing a line of code, what it's really like to raise a $20M seed round, and the hard-won lessons of learning to sell as a first-time founder. From ICP discovery and outcome-based pricing to the future of AI in sales, this is a masterclass in signal-driven, intent-based revenue growth.Key Takeaways0:00 — Why most sales teams miss buyers who are already signaling intent publicly2:07 — Intro to Tal Peretz: Co-founder & CEO of OnFire AI3:56 — The origin story: 275 revenue leader interviews before building the product4:36 — How OnFire works: Capturing public web signals, de-anonymizing prospects, and delivering real-time context to sales teams6:25 — Why selling to CTOs, CISOs, and engineers is uniquely difficult — and uniquely valuable7:36 — The 50-million-engineer insight: Turning public technical conversations into revenue intelligence10:04 — What true AI ROI looks like: efficiency gains + directly attributed pipeline11:15 — The 4X pipeline result: What customers see in their first quarter with OnFire11:52 — Speed + personalization + human touch: Why all three are required for signal-based outreach13:03 — Raising a $20M seed round and what hypergrowth pressure really means13:47 — What makes a great investor: shared values, chemistry, and true partnership in hard moments15:59 — Managing pressure: Working backwards from a 24-month North Star to break goals into milestones17:07 — Building vs. selling: What was harder in the early days17:59 — An engineer who learned to love sales: How Tal found his passion for closing deals19:21 — The ICP trap: Why selling to everyone early is the most costly mistake a founder makes20:51 — The outbound playbook: Cold calling, LinkedIn, and the "stealth company" message that landed their biggest customers22:10 — The consulting approach: Why leading with curiosity instead of a pitch built their enterprise pipeline24:41 — The three-layer go-to-market machine: Brand, field/events, and outbound working together26:45 — Selling six-figure enterprise deals: Going on-site, acting as a partner, not a vendor28:51 — Staying focused in a crowded AI market: The "build on top of the platform" rule30:02 — Building go-to-market teams as a technical founder: The hardest challenge32:14 — The biggest AI pricing mistake: Why outcome-based pricing is the future35:03 — Sales-led vs. product-led growth: How Tal thinks about when and how to make the shift38:09 — The future of go-to-market: How AI eliminates the 80% of busy work reps do today40:53 — The one thing founders must nail to break through from product to real revenue41:38 — Where to find Tal and OnFire AITweetable Quotes"We monitor the public web for signals — competitors, pain points, product mentions — and surface them to your sales team in real time. Your buyers are already talking. You just have to listen." — Tal Peretz"It's not about quantity. It's about the quality of the data. Act fast, personalize based on the pain point, and always keep the human touch in the loop." — Tal Peretz"We take your existing team and infrastructure and make the pipeline 4X better — not by adding headcount, but by giving them the right signal at the right moment." — Tal Peretz"Every revenue is not good revenue. Nail your ICP first — where you see the biggest pain, the best retention, and the growth potential — then press the pedal." — Tal Peretz"The best investors aren't just writing checks. When something breaks — and something always breaks — that's where you find out if you have a true partner." — Tal Peretz"AI will eat the 80% of the sales rep's day that is busy work. The reps who win will be the ones who know how to leverage those tools and still build real relationships." — Tal Peretz"Outcome-based pricing is the future. Align what your customer pays with the value they actually receive — then you're never fighting about ROI again." — Tal Peretz"We started with outbound and a simple message: 'I'm a stealth founder. I want to learn from your experience.' No pitch. Just curiosity. Our biggest customers today came from that exact message." — Tal PeretzSaaS Leadership Lessons1. Validate the market before you build the product. Tal and his co-founders interviewed 275 revenue leaders before writing a single line of code. They didn't fall in love with a solution — they found the problem first. For early-stage founders, this discipline separates products that get traction from ones that get ignored.2. Your ICP is not a marketing decision — it's a survival decision. Selling to every prospect early feels like progress, but it's a trap. Tal's hard-won insight: identify the customers with the biggest pain, the highest retention potential, and the best growth trajectory early, then build everything around them. Chasing the wrong customers burns runway and muddies your product roadmap.3. Great investors are chosen for the downside, not the upside. When everything is working, any investor looks great. The real test comes when something breaks. Tal defines great investors by shared core values, authentic chemistry, and willingness to engage as a true partner — not just a capital source — when the hard moments arrive.4. Act like a consultant before you act like a vendor. OnFire's biggest enterprise wins came from going on-site, meeting the full revenue team, mapping the customer's strategic goals, and co-designing a plan — before ever talking contract. For founders selling complex, high-ACV solutions, acting as a partner rather than a vendor changes the entire sales dynamic.5. Outcome-based pricing aligns your success with your customer's success. Charging by seat or token puts you in constant translation mode — always proving value. Pricing tied to outcomes (pipeline generated, conversations resolved, deals influenced) makes the value self-evident and creates a partnership, not a vendor relationship. The companies doing this best in AI are winning stickier, larger contracts.6. The future sales rep is an AI orchestrator, not a data processor. Today's reps spend ~80% of their time on research, sourcing, and admin — not selling. AI will progressively eliminate that 80%. The reps who thrive won't be those who resist the change, but those who master AI tooling and redirect all of their energy to the irreplaceable human skill: building trust and closing deals.Guest Resourcestal@onfire.aihttps://onfire.aihttps://www.linkedin.com/in/tal-peretz/instagram.com/peretztalx.com/TalPeretz13Episode SponsorThe Futureproof Series - https://www.youtube.com/playlist?list=PLfkXKUPZ5xuOqMPR7_gzGybncTtavyR1NThe Captain's KeysSmall Fish, Big Pond – https://smallfishbigpond.com/ Use the promo code ‘SaaSFuel'Champion Leadership Group – https://championleadership.com/SaaS Fuel ResourcesWebsite - https://championleadership.com/Jeff Mains on LinkedIn - https://www.linkedin.com/in/jeffkmains/Twitter - https://twitter.com/jeffkmainsFacebook - https://www.facebook.com/thesaasguy/Instagram - https://instagram.com/jeffkmains

How are data and AI reshaping the future of active investing? Markets are moving faster than ever. AI is changing how investment managers research, think and ultimately make decisions — and the edge lies in knowing how to use it. In this episode of In The Know, Magellan's Head of Distribution, Asia Pacific, Mark Burgess is joined by Rob Franklin, Research Manager at Vinva Investment Management, to unpack the evolution of AI in investment research, the growing importance of alternative data and why human judgement remains critical in navigating changing market regimes. Rob also shares insights into how Vinva combines disciplined, systematic processes with technology-driven innovation to build diversified portfolios in an increasingly competitive investment landscape.

On this episode of the Medical Alley Podcast, host Ben Wagner sits down with the leaders of Mobius Medical — co-founder Stefan Czyniewski and VP of clinical operations David Pomfret — for a behind-the-scenes look at the regulatory and clinical strategies shaping the future of medtech innovation. From early feasibility studies in Australia, to scaling operating in the United States, the conversation explores the realities of clinical research, the biggest mistakes founders make when building regulatory strategies, and why bringing medical technology to market is "not just hard — it's really, really, hard." Send us a message! Follow Medical Alley on social media on LinkedIn, Facebook, X and Instagram. 

AFSA is tackling AI head on in a few short days at the 2026 Independents Conference & Expo – all of our sessions, committees and networking groups will revolve, even in a tangential way, around AI, how the consumer credit industry can get the most out of this emerging technology and what you need to keep your eye out for.Back in the fall, Dan Bucherer, Senior Director, Member Services & Engagement with AFSA moderated a panel at the Annual Meeting about some of the ways AI is already integrated into lending systems, analyzing unstructured information moving beyond traditional credit metrics, enabling sharper risk assessment and, ultimate a more personalized borrower experience at every stage.The panel included:Elizabeth Blackhall, Senior Compliance Specialist with Husch BlackwellLawrence Buckley, SVP, Business Development, DataOceansTammy Mouta, Product and Growth Lead with Salient AI.While you pack your saddle bags for Frisco or wait in that boarding line, take a listen and refresh yourself on where we stand in the AI space. Then, when you land, get ready for a deep dive on all things AI.Listen to the Extra Credit Podcast wherever you get your podcasts or visit afsaonline.org/podcasts.

This episode of The OneStream Podcast is all about AI and your data. Peter Fugere and Om Kapoor discuss how organizations can prepare their data for AI integration, OneStream's AI solutions for data readiness, governance, and the emerging era of agentic AI.

In this Marketecture Live session, Alex Boras (President of Bliss, part of T-Mobile Advertising) joins Crissi Cupak (Head of Product at PMG) to unpack how advertising is evolving in the era of consumer control. They explore why one-to-one targeting is fading, how agencies are building proprietary tech, and why data alone isn't enough without intelligence. From AI foundations to new measurement frameworks, this conversation dives into how marketers can balance precision, scale, and privacy while still driving real business outcomes. Takeaways Data is everywhere, but real value comes from turning it into actionable intelligence One-to-one targeting is evolving toward cohort-based strategies Strong data foundations are critical for effective AI models Agencies must invest in proprietary technology to stay competitive Measurement is shifting from last-touch attribution to broader brand and population signals Consumer control is reshaping how brands build relationships and use data Chapters 00:00 Introduction to Marketecture Live and session topic 00:40 Bliss and T-Mobile's omnichannel data strategy 01:12 The rise of product leadership inside agencies 03:15 Challenges of building AI models with messy data 05:04 Why intelligence matters more than raw data 06:20 Moving from individual IDs to cohort-based targeting 08:02 Consumer control and the shift in data dynamics 09:02 Building digital twins for audience planning 11:08 The decline of cookie-based attribution 12:18 New measurement models using brand signals 15:10 Is one-to-one identity dead? 17:31 Data collaboration and industry-wide intelligence 18:10 Creating meaningful value exchange with consumers 20:12 Key takeaway: the future beyond one-to-one Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Michael Meucci, President and Chief Executive Officer, Arcadia and Dr. Sanjay Doddamani, Founder and CEO, Guidehealth discuss how aligning data, AI, and payment models is reshaping value-based care. They explore evolving risk, cost dynamics, and how AI can scale access, improve outcomes, and support financial sustainability across healthcare systems.This episode is sponsored by Guidehealth and Arcadia.

He arrived in Abu Dhabi in 1981 when roads turned to soft sand and ceilings collapsed because villas were built with saltwater cement. He came for six months. He never left. Forty-five years later, he just took his company public at a $1.5 billion valuation and he's 71 years old with zero plans to stop.  In this episode, Spencer sits down with Fayez Ibbini, founder of Alpha Data, one of the UAE's most enduring technology companies. From coding assembly language for the Kuwait Stock Exchange on 16-hour days, to pivoting from IBM mini-computers to PCs, to riding every wave from networking and the internet to cloud, mobile, big data, IoT and now AI. Fayez has been at the frontier of technology in this region for nearly half a century.  But this isn't just a business story. It's a story about passion over comfort, about the cost of obsession, about what it really means to build something that outlasts you. He'll tell you that if you haven't started a business by 40, don't bother. That retirement was invented to push you out. That AI is not another wave - it's a tsunami. And that the most expensive lessons in business are almost always about people.  Whether you're an entrepreneur at the start of your journey, a leader navigating the AI revolution, or someone who wonders what it looks like to still be curious and hungry at 71. This conversation will challenge everything you think you know about success, technology, and time.   Timestamps:  00:00 – "A golden cage": why Fayez came for six months and stayed 45 years  01:28 – Abu Dhabi vs. Dubai and the mind-boggling speed of UAE transformation  06:34 – From electrical engineering to poultry imports to farming — finding what actually excites him  11:20 – Coding the Kuwait Stock Exchange in assembly language and the moment he realized talent has value  12:29 – His first client in the UAE: a video rental library, a 2,000-dirham cheque, and why he never cashed it  15:54 – Seeing every stand at CeBIT with a PC and making a decision that changed everything  17:17 – The seven waves of technology: mainframes to AI — and why AI is the tsunami, not the wave  21:36 – Why Alpha Data's greatest asset isn't talent — it's 2,200 relationships built on trust  23:00 – Life only makes sense in the rearview mirror: navigating the fog of action  26:00 – The three ingredients for success: passion, innate ability, and demand  28:00 – His controversial take: if you haven't started a business by 40, don't bother  29:24 – Why Fayez took Alpha Data public after 44 years — and the succession problem that forced his hand  34:00 – Deliberately leaving money on the table at IPO and why that was the smartest move  38:00 – The stock market chief's warning: "The sleepless nights start after the birth"  41:40 – Alpha Data's three core values: care for people, no red tape, and speed  45:15 – Overcoming introversion, shaking knees, and the demon in your brain that tries to protect you  50:00 – On giving back: why his model is teaching people to fish, not handing them fish  57:00 – AI compared to electricity: we are at the very start of it invading every aspect of our lives  1:00:25 – What AI can never replace: trust, the handshake, and the look in someone's eyes  1:02:40 – Quickfire: what money really means, the hardest decision he ever made, and a belief he's completely abandoned  1:04:24 – Why most people fail and his single biggest leadership lesson  1:09:11 – Why retirement is an invention of the industrial age — and what he's learning right now at 71    Follow Spencer Lodge on Social Media  https://www.instagram.com/madeindubaipodcast/?hl=en  https://www.facebook.com/profile.php?id=61586194260076  https://www.instagram.com/spencer.lodge/?hl=en  https://www.tiktok.com/@spencer.lodge  https://www.linkedin.com/in/spencerlodge/  https://www.youtube.com/c/SpencerLodgeTV  https://www.facebook.com/spencerlodgeofficial/    Follow Fayez Ibbini on Social Media  https://www.linkedin.com/in/fayez-ibbini-28382717/  https://www.linkedin.com/company/alpha-data_2/  https://www.instagram.com/alphadatauae/ 

In this episode of the SAATKORN Podcast, I'm talking to Christoph Zoeller, Co-Founder & CEO of Instaffo – a data-driven recruiting marketplace that challenges traditional job boards with a success-based pricing model. Christoph has been shaping the recruiting market in Germany for years by putting talent—not job ads—at the center of the process.

This thoughtful dialogue with the CTO of Garner Health highlights his professional journey, lessons learned in leveraging data and AI, and strategies for building inclusive solutions. The conversation also provides guidance for upcoming and current informaticists preparing to enter a rapidly advancing field. Episode Hosts:  Dr. Leyla Warsame, ACMIO - M Health Fairview Michi Kono, Chief Technology Officer - Garner Health

Jeffrey Freedman, Executive Vice President at Evolution Health Group, joins Disruption/Interruption to reveal how AI and machine learning are revolutionizing pharmaceutical marketing. For decades, the pharmaceutical industry has been "data rich but insights poor," drowning in information while struggling to connect doctors, patients, and meaningful medical education. Freedman's personal healthcare experiences with his family drove him from Wall Street to pharma, where he now builds platforms that help pharmaceutical companies identify key opinion leaders, cut through the noise, and deliver life-saving information more efficiently. In this candid conversation, he demystifies the pharmaceutical industry, explains why the shift from direct-to-consumer to direct-to-physician marketing matters, and shares how his team is using technology to get treatments to patients faster while reducing costs. Four Key Takeaways: The Pharma Data Problem (9:04) - The pharmaceutical and medical industry is "data rich, but insights poor." Until recently, without AI and machine learning, massive amounts of data were simply growing without being properly analyzed. The ability to extract actionable insights has now shrunk dramatically, transforming how pharma companies can respond to patient needs. Creating a Single Source of Truth (14:50) - Pharmaceutical companies have historically operated on disconnected spreadsheets across different regions and employees, causing critical information loss. Evolution Health Group's SaaS platforms aggregate data into a single source of truth, ensuring insights aren't lost when employees leave and enabling global coordination. From Direct-to-Consumer to Direct-to-Physician (23:53) - Freedman advocates for lowering pharma's reliance on direct-to-consumer advertising and instead focusing budgets on educating physicians. Rather than patients self-prescribing based on commercials, doctors should be equipped with comprehensive education to prescribe the right treatments for the right patients, improving outcomes and reducing confusion. Accelerating the Bench-to-Bedside Pipeline (29:46) - Through AI-powered insights and streamlined communication, the goal is to move products from the research bench to patients faster and more cost-effectively. This technology is already enabling treatments for rare diseases that were previously too expensive to develop, demonstrating how innovation can expand access to care. Quote of the Show (23:48):"Pharma is not this big scary monster that's put out there in the media. It's a bunch of people that really care.” – Jeffrey Freedman Join our Anti-PR newsletter where we’re keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome. Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval Ways to connect with Jeffrey Freedman: LinkedIn: https://www.linkedin.com/in/jfreedman/Company Website: https://evolutionhealthgroup.com How to get more Disruption/Interruption: Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlDSee omnystudio.com/listener for privacy information.

Marley Kayden breaks down falling consumer sentiment and a cooling labor market as the latest JOLTS data shows a low‑hire, low‑fire backdrop. Sam Vadas looks at pressure across semiconductors, recent moves in WDC, STX, and MU, and what upcoming data could signal about stagflation, while META and ORCL continue restructuring around AI.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

The conversation begins with a close look at India's data protection regime, particularly the DPDP Act and its emphasis on consent. Nikhil challenges the perception that the law is overly consent-driven, pointing to a range of exemptions and alternative legal bases for processing data. At the same time, he highlights gaps in enforcement and deterrence, arguing that the current framework may struggle to address large-scale misuse of data or systemic harms. On AI governance, Nikhil makes a case that India does not need a sweeping, EU-style AI law, at least not yet. Given India's legislative pace, enforcement gaps, and how fast AI is evolving, he thinks strengthening existing laws and making targeted amendments is a far more practical path. He does, however, flag artificial intimacy as something that deserves serious attention soon. AI-powered companionship is supercharging the loneliness economy, building emotional dependency at scale, and raising risks that no existing framework is really built to handle. Closer to home, Nikhil offers a window into how AI is changing legal practice at Trilegal, where 75% of lawyers now use AI in their daily workflows. The firm is simultaneously building AI products, using them internally, and advising clients on AI risk, a position Nikhil sees as an advantage rather than a conflict. For him, the era of lawyers who write code and speak directly with engineers is not something to fear but a long overdue shift in what it means to practice technology law. Episode ContributorsNidhi Singh is an associate fellow at Carnegie India. Her current research interests include data governance, artificial intelligence and emerging technologies. Her work focuses on the implications of information technology law and policy from a Global Majority and Asian perspective. She has previously contributed to the Indian Express, The Secretariat, Medianama and HinduBusiness Line.Nikhil Narendran is a Partner in Trilegal's Bengaluru office and part of the TMT practice of the firm. He is a subject matter expert in the technology, media, and telecom communication space. Nikhil focuses on the interplay of technology, human lives, and commerce. He has substantial experience in advising companies on telecom, media and technology laws in relation to their entry into India, operations, strategy, policy, regulatory issues, disputes, and business models. Every two weeks, Interpreting India brings you diverse voices from India and around the world to explore the critical questions shaping the nation's future. We delve into how technology, the economy, and foreign policy intertwine to influence India's relationship with the global stage.As a Carnegie India production, hosted by Carnegie scholars, Interpreting India, a Carnegie India production, provides insightful perspectives and cutting-edge by tackling the defining questions that chart India's course through the next decade.Stay tuned for thought-provoking discussions, expert insights, and a deeper understanding of India's place in the world.Don't forget to subscribe, share, and leave a review to join the conversation and be part of Interpreting India's journey.

In this Coffee Conversations®, sponsored by SRS Distribution, Megan Ellsworth is joined by industry leaders to break down what artificial intelligence (AI) really means for roofing contractors and suppliers. Patrick Garcia of SRS Distribution, Fred Castonguay of Reworked.AI and Denver Riggleman of Riggleman Information and Intelligence Group (RIIG) explore how AI moves beyond automation into strategy, security and long-term competitiveness. The conversation tackles responsible adoption, team buy-in and how to evaluate tools in a crowded market. Join RoofersCoffeeShop on March 26, 2026, at 10 a.m. ET for a practical look at roofing's digital future.    Learn more at RoofersCoffeeShop.com!  https://www.rooferscoffeeshop.com/     Are you a contractor looking for resources? Become an R-Club Member today! https://www.rooferscoffeeshop.com/rcs-club-sign-up     Sign up for the Week in Roofing!  https://www.rooferscoffeeshop.com/sign-up     Learn more about SRS Distribution here!   https://www.rooferscoffeeshop.com/directory/srs-distribution-inc   Follow Us!   https://www.facebook.com/rooferscoffeeshop/   https://www.linkedin.com/company/rooferscoffeeshop-com   https://x.com/RoofCoffeeShop   https://www.instagram.com/rooferscoffeeshop/   https://www.youtube.com/channel/UCAQTC5U3FL9M-_wcRiEEyvw   https://www.pinterest.com/rcscom/   https://www.tiktok.com/@rooferscoffeeshop   https://www.rooferscoffeeshop.com/rss     #SRSDistribution #RoofersCoffeeShop #MetalCoffeeShop #AskARoofer #CoatingsCoffeeShop #RoofingProfessionals #RoofingContractors #RoofingIndustry 

Send us Fan MailAs brands enter 2026, loyalty is being reshaped by a blunt reality: customer acquisition costs keep climbing, and retention is now a core growth lever. Loyalty programs are no longer viewed as optional perks or promotional add-ons. They're becoming strategic moats, powered by first-party data, lifecycle marketing, and increasingly, AI-enabled decisioning. We recently spoke with Luke Kline, Founding Marketer at Hightouch and author of the Lifecycle Leaders newsletter, about how loyalty strategies are evolving in response to rising costs, changing consumer expectations, and the accelerating pace of marketing technology. 

In Episode 61 of Talking Marketing, we explore how data and artificial intelligence are reshaping the modern marketing playbook. We sit down with Nick Stamoulis, President - Brick Marketing, a Boston-based digital agency with over two decades of experience helping brands navigate the evolving digital landscape. Together, they discuss how marketers can move beyond hype and build strategies grounded in data, long-term brand equity, and measurable revenue impact. In this episode, we explore: How agencies evaluate new AI tools and separate real value from industry noise Why first-party data and stronger tracking infrastructure are becoming essential The risks of AI-generated marketing at scale — and how to protect brand equity The future of marketing measurement beyond traditional CPA and ROAS Whether you're a marketing professional, agency leader, or student entering the field, this conversation offers practical insights into building marketing systems that deliver sustainable growth.

In this episode of the FinTech Hunting Podcast, Michael Hammond sits down with Kortney Lane-Schafers of MMI (Mobility Market Intelligence) for a powerful conversation about where the mortgage industry is headed—and what still matters most as technology moves faster than ever.Yes, AI is changing the game.Yes, data is more available than ever.But here's the deeper question:In a market driven by automation, what still creates trust, momentum, and real growth?Kortney shares how MMI One is helping mortgage professionals turn data into action—not just reports, dashboards, or noise, but real business decisions around recruiting, retention, market expansion, customer outreach, and borrower opportunity.This episode goes beyond product talk. It gets to the heart of what many leaders are wrestling with right now:How do you use mortgage data in a way that is actually useful?What role should AI play in relationship-driven industries?How can lenders, servicers, banks, and credit unions better activate their databases?Why do authentic human relationships still outperform transactional selling?What makes an industry experience memorable instead of forgettable?Kortney also shares her perspective on why connection still matters, why the best networking is never just about selling, and how thoughtful experiences can create lasting impact across the mortgage and fintech ecosystem.If you work in mortgage, fintech, lending, servicing, banking, credit unions, proptech, sales, recruiting, or growth strategy, this conversation will give you both practical insight and a meaningful reminder:Technology may accelerate business, but relationships still move it forward.Key takeaways from IMB and why optimism is returning to mortgage in 2026What MMI One is and how it unifies mortgage data, communications, and monitoringHow lenders can use data for market growth, recruiting, retention, and referral developmentWhy actionable data matters more than just having more dataHow mortgage teams can use triggers and insights to deliver the right message at the right timeThe growing role of AI, automation, CRM integration, and credit monitoringWhy live events, networking, and authentic connection still matter in a digital-first worldHow meaningful experiences build stronger business relationships in mortgage and fintechKortney Lane-Schafers is a respected voice in mortgage and fintech, known for her work at MMI, her leadership in building authentic industry relationships, and her ability to connect data, strategy, and people in a way that creates real impact.The mortgage industry does not need more noise.It needs more clarity.More intentionality.And more leaders who understand that the future belongs to the organizations that can blend data, AI, and human connection the right way.If that's the future you're building toward, this episode is for you.Connect with Kortney Lane-Schafers on LinkedInLearn more about MMI: MMI.ioSubscribe to FinTech Hunting for more conversations with the leaders shaping mortgage, fintech, AI, marketing, growth, and the future of financial services.In this episode, we cover:About Kortney Lane-Schafers Why this conversation matters.###Michael Hammond, Founder of NexLevel Advisors, is the leading fractional CMO in mortgage and mortgage technology, specializing in AI-powered growth strategy and audience development.

Inflation data and key corporate earnings will dominate the week ahead. Investors will watch price reports, housing indicators, and technology results for clues on the economy and the AI trade.>>> Follow me on LinkedIn:https://www.linkedin.com/in/endrit-cela/>>> Follow me on Instagram:https://www.instagram.com/endritcela_official/Disclaimer for "Capital Markets Quickie" Podcast:The views and opinions expressed on this podcast are based on information available at the time of recording and reflect the personal perspectives of the host. They do not represent the viewpoints of any other projects, cooperations, or affiliations the host may be involved in. "Capital Markets Quickie" does not offer financial advice. Before making any financial decisions, please conduct your own due diligence and consult with a financial advisor.

Curious how artists can build a sustainable career in today's fast-changing music industry? In this episode, Xylo Aria sits down with Ariana Arciniega to talk about artist development, using data to make smarter decisions, and how new technologies like AI are opening up fresh opportunities for independent musicians.

On this episode of The Association Podcast, we welcome Ravi Rooprai, Director of IT and PMO at the Million Dollar Round Table (MDRT). Ravi shares his unique journey from molecular microbiology and pharmaceutical consulting into association technology leadership, bringing a scientific mindset to digital transformation and innovation.The conversation explores how MDRT is modernizing association technology by decoupling legacy systems, building scalable data ecosystems, and experimenting with AI-driven personalization. Ravi explains how his team approaches technology through experimentation, feasibility studies, and agile thinking to improve member experiences and operational efficiency.We also dive into MDRT's cutting-edge meeting technology, including large-scale multilingual interpretation powered by AI and the infrastructure required to support thousands of attendees simultaneously streaming translated sessions. Ravi discusses how associations can better leverage data, personalization, and experimentation to drive engagement, retention, and measurable member value.From building a culture of innovation to applying e-commerce thinking to membership value, this episode offers practical insights for association leaders navigating digital transformation.00:01:00 Introduction to Ravi Rooprai and MDRT00:01:30 Rapid Fire Questions00:02:40 Ravi's Career Journey from Science to Association Technology00:04:30 Lessons from Industry Applied to Associations00:05:30 Using ROI and Value Metrics in Association Technology Decisions00:07:00 Measuring Member Lifetime Value00:08:30 The Value of MDRT Membership for Financial Professionals00:10:30 Reworking Legacy AMS Systems Through Decoupled Data Architecture00:12:00 Building a Modern Data Ecosystem Around Legacy Platforms00:13:30 Scaling Membership Systems to Handle Peak Demand00:14:45 Managing 60–70K Membership Applications During Renewal Season00:16:00 Leveraging AI and Technology at Large Global Conferences00:17:00 Simultaneous Translation and Multilingual Meeting Experiences00:18:30 Solving Conference Connectivity and Infrastructure Challenges00:20:00 Improving the Member Experience Through Technology00:21:00 Favorite Tools: AI, Copilot, and Power Apps00:23:30 Empowering Staff to Experiment with Technology00:24:30 Personalization and Data-Driven Engagement00:26:00 Using Engagement Data to Shape Event Programming00:28:00 The Future of Digital Transformation in Associations00:29:00 Applying a Scientific Mindset to Technology Innovation00:31:00 Building a Culture of Experimentation and Safe Failure00:33:00 Feasibility Studies and Agile Technology Testing00:35:00 Applying E-commerce Thinking to Membership Value00:37:00 The Future of AI and Meeting Technology at MDRT00:39:00 Rethinking the Conference Experience00:40:00 Closing Thoughts 

In this episode of Hub & Spoken, Jason Foster, CEO & Founder of Cynozure, is joined by returning guest Pete Williams, former Director of Data at Penguin Random House, to discuss the findings of Cynozure's 2026 report, The Next Horizon: Data, AI and Impact.   Drawing on insights from senior data and analytics leaders, they explore a persistent challenge: while expectations of data teams have shifted towards impact, investment often remains focused on platforms and foundations.   Jason and Pete reflect on why demonstrating value is still difficult, what the report reveals about priorities, decision-making and data leadership, and the gap between having data and using it effectively. Read the full report to explore what Cynozure's 2026 Data & AI research reveals about turning capability into value.   Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. It works with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and data leadership. The company was named one of The Sunday Times' fastest-growing private companies in both 2022 and 2023 and recognised as The Best Place to Work in Data by DataIQ in 2023 and 2024. Cynozure is a certified B Corporation. 

What does it really take to modernize a tech transfer office and build innovation ecosystems that thrive outside the traditional coastal hubs? In this episode, host Patrick Reed, RTTP, is joined by Robert Lowe, PhD, CEO of TechPipeline, for a timely conversation on how tech transfer offices can evolve in a rapidly changing innovation landscape. From data-driven decision-making and intentional use of AI to workforce development and ecosystem-building beyond the coasts, this episode offers practical insights for university and industry engagement leaders navigating what comes next. In this episode, you'll learn: Why “perfect is the enemy of good” when modernizing tech transfer systems, and how using the right mix of tools can improve outcomes. How tech transfer offices can leverage AI as a force multiplier while maintaining strong foundational skills. What smaller and mid-sized cities can do to build collaborative, high-impact tech transfer and startup ecosystems. Tune in to learn how a data-informed approach to tools, training, and ecosystem strategy can help tech transfer offices accelerate innovation and deliver greater impact wherever they're located. Links: Connect with Robert Lowe, PhD, and check out TechPipeline. Connect with Patrick Reed, RTTP, and learn about IPX at Auburn University. Connect with Ian McLachlan, BIO from the BAYOU producer. Check out BIO on the BAYOU. Learn more about BIO from the BAYOU - the podcast. Bio from the Bayou is a podcast that explores biotech innovation, business development, and healthcare outcomes in New Orleans & The Gulf South, connecting biotech companies, investors, and key opinion leaders to advance medicine, technology, and startup opportunities in the region.

Kate Scott-Dawkins, Global President of Business Intelligence at WPP Media, joins AdTechGod to share how agencies use economic signals, advertiser trends, and emerging AI shifts to forecast the future of advertising while helping brands stay ahead in a rapidly changing world. Takeaways Kate's early exposure to advertising storytelling sparked her marketing path. A linguistics background trained her to spot patterns and build forecasts. Staying at WPP let her shape long-term strategy and thought leadership. Modern forecasting blends government, financial, and proprietary client signals. Global events, politics, economics, and climate directly move the markets. Industry consolidation is accelerating, concentrating ad revenue among a few sellers. WPP packages insight via forecasts, weekly updates, and rapid client POVs. AI adds speed by summarizing large datasets and supporting analysis workflows. AI is less reliable for producing genuinely original insight on its own. Commerce and creator ecosystems may be disrupted faster than search. Authenticity, disclosure, and watermarking are becoming critical trust issues. Verified human-made content could become a premium tier in the future economy. Career Girls' work focuses on expanding STEAM imagination and opportunity for girls Chapters 00:01 Introduction: Kate Scott-Dawkins joins the podcast and outlines her role at WPP Media. 01:30 Career inspiration: An early advertising example sparked her interest in storytelling. 02:45 Career foundation: How linguistics and international experience shaped her perspective. 03:35 WPP tenure: Why she stayed and how her remit evolved over time. 05:10 Long-range forecasting: Advertising trend planning through 2030 and beyond. 06:20 Data and regulation: How access constraints and policy changes reshaped the industry. 07:30 Intelligence inputs: Blending consumer data, government signals, and client investment insights. 08:10 Global framework: A structured view across politics, economics, society, and technology. 09:20 Market consolidation: Increasing concentration of ad revenue among top sellers. 10:40 Insight delivery: Cadences spanning major forecasts, weekly updates, and rapid client POVs. 12:55 AI applications: Operational support for analysis, synthesis, and speed at scale. 17:05 Early 2026 outlook: Emerging models, including advertising-supported AI consumer services. 26:05 Career Girls: Mission, impact, and Kate's strategic support to expand STEAM opportunity. Learn more about your ad choices. Visit megaphone.fm/adchoices

Former CFO and AI educator Angeline Corvaglia explains why data isn't neutral—and how agencies can present AI and analytics insights responsibly and accurately. SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-when-data-ai-and-decisions-meet  We cover: • how interpretation shows up even in finance • why AI makes data feel more certain than it really is • where bias enters training data (and why it's rarely visible) • how leaders decide what data actually matters • and what finance leaders really want from marketers © 2026, NinjaCat 

In this episode of The Digital Executive, host Brian Thomas sits down with David Sztyman, Chief Architect at Hydrolix, to explore how real-time streaming data and AI are reshaping observability and security operations. Drawing on two decades of experience across streaming, caching, security, and analytics, David explains why scale remains a constant challenge—and why traditional data warehouses can't keep up with today's real-time demands.The conversation dives into the critical role of streaming data architectures in detecting issues as they happen, from video performance problems to active security threats like DDoS attacks. David also shares a pragmatic approach to AI, emphasizing how teams can use machine learning and LLMs selectively to detect anomalies without driving up costs. Looking ahead, he discusses the rise of AI agents, automated remediation, and natural-language access to data—capabilities that will make observability and security insights accessible to far more people across the enterprise.If you liked what you heard today, please leave us a review - Apple or Spotify. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Sponsored by Hotchkiss Insurance Agency In this episode, Hall of Fame speaker Terry Brock breaks down how AI is already transforming nurseries, greenhouses, and landscape operations—and how you can use it to grow profits in 2026. Forget buzzwords and sci-fi hype. This session delivers real-world examples and live demos showing how horticulture businesses are using AI to improve forecasting, reduce waste, spot trends early, and strengthen customer relationships. You'll explore practical AI tools—including but not limited to ChatGPT—and walk away with a realistic action plan for what to test, what to ignore, and how to get your team using AI effectively, even if you're not a tech expert. If you want AI to work for your business (not overwhelm it), this episode is your roadmap.

At the end of every year, I like to take a step back and look at what's really happening in our industry. Not just at a surface level, but underneath it all. In this episode, I'm joined by my good friend Gordon Miller for one of our now-regular “state of the nation” conversations, where we dig into the biggest shifts shaping the hairdressing industry right now.We talk about the growing importance of data, what AI is actually being used for inside real salons, and why understanding the numbers is no longer optional if you want a sustainable, profitable business. Gordon shares practical examples of how salons are using AI to improve communication, training, productivity, and decision-making, not as a replacement for people, but as a tool to make people better at what they do.We also explore the changing relationship between salons and product companies, the rise of independent and freelance models, and why great commission-based salons are still creating incredible careers for hairdressers who want stability, structure, and serious earning potential. If you care about the future of this industry and your place in it, this is a conversation worth listening to.IN THIS EPISODE:[00:00] Welcome and introduction[00:24] Why end-of-year reflection matters for salon owners[02:14] The two biggest changes Gordon's seeing in 2025[03:02] Data is becoming the decoder ring for everything[04:23] What's driving the focus on numbers and KPIs[08:37] The AI revolution in hairdressing salons[10:17] Real use cases: How top salons are using AI daily[14:42] Using AI to improve manager-team member communication[17:05] The connection between data and AI in salons[18:13] How salon tech companies are integrating AI[21:24] The evolution of the salon business model[25:04] Why the commission model isn't going anywhere[31:02] The truth about working hours in the industry[36:40] The changing relationship between salons and manufacturers[42:24] Why salon associations matter more than ever[45:25] Where to connect with Gordon MillerWant MORE to help you GROW?

This episode explains how BSI builds for data, AI agents, and digital sovereignty. Markus Brunold shares the company mission, cloud and AI model choices, and how human roles and AI agents work together. Hear concrete examples and product thinking for regulated industries like financial services. About Markus Brunold Markus Brunold is CEO of BSI Software and is responsible for the company's long-term business development. With the BSI Customer Suite, BSI Software offers the only European holistic CRM and CX solution that deeply integrates AI while guaranteeing data protection, sovereignty, and flexibility. For Markus, customer centricity is the guiding principle of his entrepreneurial activities. BSI Software is a market leader in its key industries, combining deep industry knowledge with technological excellence. Resources  BSI Software: https://www.bsi-software.com/en Please, hit the follow button and leave your feedback: Apple Podcast: https://www.cxgoalkeeper.com/apple Spotify: https://www.cxgoalkeeper.com/spotify Follow Gregorio Uglioni on Linkedin: https://www.linkedin.com/in/gregorio-uglioni/ Gregorio Uglioni is a seasoned transformation leader with over 15 years of experience shaping business and digital change, consistently delivering service excellence and measurable impact. As an Associate Partner at Forward, he is recognized for his strategic vision, operational expertise, and ability to drive sustainable growth. A respected keynote speaker and host of the well-known global podcast Business Transformation Pitch with the CX Goalkeeper, Gregorio energizes and inspires organizations worldwide with his customer-centric approach to innovation.

In this episode of Lead-Lag Live, I sit down with Mike Barrasso, Co-Founder and CEO of WealthReach, to uncover one of the biggest blind spots in advisor growth: knowing who is researching you before they ever reach out.From intent data and website visitor identification to compliant AI-driven outreach, Barrasso explains how advisors can stop wasting marketing spend and start engaging prospects at the exact moment they are actively looking for help.In this episode:– Why over 90 percent of advisor website traffic disappears without a trace– How intent data reveals who is actively researching wealth management topics– The difference between cold prospecting and warm, high-probability outreach– How AI can personalize compliant emails at scale for advisors– Why better data changes how advisors grow in a competitive marketLead-Lag Live brings you inside conversations with the financial thinkers who shape markets. Subscribe for interviews that go deeper than the noise.#LeadLagLive #WealthManagement #FinancialAdvisors #AI #MarketingStrategy #FinTech #DigitalMarketing #MarketsStart your adventure with TableTalk Friday: A D&D Podcast at the link below or wherever you get your podcasts!Youtube: https://youtube.com/playlist?list=PLgB6B-mAeWlPM9KzGJ2O4cU0-m5lO0lkr&si=W_-jLsiREjyAIgEsSpotify: https://open.spotify.com/show/75YJ921WGQqUtwxRT71UQB?si=4R6kaAYOTtO2V Support the show

In this episode of ITE Talks Transportation, Jean-Paul Brissett, CEO of Quality Counts, discusses how data and artificial intelligence are reshaping transportation decision-making. Brissett examines how new technologies are enhancing access to and interpretation of data while raising critical questions about privacy and ethics. He also reflects on the evolving role of human judgment in an increasingly automated industry and the leadership skills needed to navigate that change. The conversation offers an insightful look at how innovation, data, and people intersect to drive the future of mobility.

 Is the future of natural gas actually brighter than we're being told? In this episode of the Jake & Gino podcast, Gino and Jake sit down with Jay Bhatty, founder and CEO of NetGasHub.com, to unpack how data, pipelines, and smart policy are reshaping the future of natural gas in a world obsessed with renewables, AI, and exploding energy demand.Jay explains why the U.S. is the “Saudi Arabia of natural gas” and how that advantage impacts manufacturing, data centers, and your wallet. He breaks down how traders use data from pipelines and price differentials to profit in the energy markets, and why physics—not politics—is often the real constraint on wind and solar. You'll learn how the future of natural gas fits into a balanced energy mix (coal, nuclear, solar, wind), why bright young talent is flocking to the intersection of energy and technology, and how investors can gain exposure to pure natural gas plays. Jay also shares his entrepreneur framework—why you should build “painkiller” businesses, how to spot real-world pain points, and why boring, cash-flowing companies may be the best opportunities of all.Connect with Jay Bhatty: NetGasHub.com • LinkedIn • Jay's book on AmazonChapters:00:00 – Introduction to the Energy Industry and Its Importance 02:55 – The Role of Data in Natural Gas Efficiency05:56 – Natural Gas vs. Renewable Energy Sources09:04 – The Future of Manufacturing and Natural Gas11:49 – Attracting Talent to the Energy Sector14:54 – Entrepreneurship Framework in the Energy Industry19:38 – Opportunities in Small Businesses20:56 – Exploring Natural Resources22:46 – The Future of Data Centers27:43 – The Energy Mix: Finding Balance30:03 – Investing in Energy Diversification31:36 – The Future of Energy: A Balanced Approach34:05 – Gino wraps it up  We're here to help create multifamily entrepreneurs... Here's how: Brand New? Start Here: https://jakeandgino.mykajabi.com/free-wheelbarrowprofits Want To Get Into Multifamily Real Estate Or Scale Your Current Portfolio Faster? Apply to join our PREMIER MULTIFAMILY INVESTING COMMUNITY & MENTORSHIP PROGRAM. (*Note: Our community is not for beginner investors)

Release isn't retreat—it's reclaimed power:“Redemption begins where control ends.”“Letting go clears the mind faster than logic can.”“Leaders who release grow trust that lasts.”Picture a professional rebuilt by loss, mastering clarity through release.Inside this EpisodeWhat if success depended not on control, but on release?IBM Data & AI Executive Chris Williams recounts the night he lost his family to a drunk-driving crash—and the decision that changed every day since: “Let it go.”In this deeply original conversation, Mark S. Cook explores how forgiveness became Chris's system for focus, redemption, and leadership clarity. Together they expose a framework rarely heard in business: release what you can't control, redeem what you can, and rebuild trust that compounds like data developed.Go Deeper — Premium Action PlanIn the Premium Action Plan, Mark and Chris translate release into measurable advantage:• Identify and focus on something truly within your control—and prove it daily for a week.• Replace resentment loops with gratitude and precision.• Reclaim “mental RAM” for creative, strategic work.• Apply the seven-day Let-It-Go practice to leadership decisions.Finish with a clear process for replacing negative obsession with positive momentum—your first redemption loop at work.Mark S. Cook — Website: https://MarkSpencerCook.com | https://WindfallPartners.comLinkedIn: https://linkedin.com/in/markspencercookSocial: @MarkSpencerCookMoments to Revisit• The instant he chose release in the wreckage• Why redemption begins with the self, not the offender• The data-driven logic of letting go• How trust grows faster than control• The seven-day practice that turns pain into productivityListen + ConnectLinkedIn: https://www.linkedin.com/in/williamsleadership/Movie: https://www.angel.com/movies/just-let-goBook: Let It Go — A True Story of Tragedy and Forgiveness (https://www.amazon.com/Let-Go-Story-Tragedy-Forgiveness/dp/1609071271)Final ThoughtChris Williams proves that release isn't giving up—it's letting go of what drains you, to redeem what still matters. Forgiveness may heal the heart, but release restores the mind that leads.Do you feel stuck between where you are today… and who you're meant to become?Find your next step inside Bold Encounters Premium at: https://BoldEncounters.TV — you can also give the gift of Premium success to someone else you care about.

The car business feels broken right now.Showrooms are quiet. Sales teams are restless. Managers are asking the same question:“Is it slow out there, or is it just us?”Everyone's looking for answers — but the truth isn't in the rumors or social media posts. It's in the data.In this premiere episode of Follow The Money (Ep. 18) on The Get More Frank Show, I sit down with Brian Kramer, EVP at Cars Commerce, to break down the Q3 automotive market data that every dealership leader needs to hear before heading into Q4.We're not talking about feelings — we're talking about facts.

Episode notesWhat connection means as a leader, parent, clinician, friendResidents and families as the real teachers of patient experienceThe “poinsettias in April” lesson: small signals shape big trustWhy a health-tech conference led with connection (not features)Data & AI: accelerants that free us to be more human, not lessProductive disagreement and patient advocacy across disciplinesTrust + respect as the ground rules for hard conversationsListener reflection: What small signal could you fix today to raise trust immediately? 

The shelf era is over—and the rules of CPG growth are changing fast.

For The STR Data Lab's three-year anniversary, Jamie Lane sits down with AirDNA and Uplisting CEO Rohit Bezewada for an inside look at how the company—and the short-term rental industry—are evolving. From scaling Uber and leading M&A at JP Morgan to building AirDNA's next chapter, Rohit shares lessons on data-driven growth, leadership, and innovation in the STR tech ecosystem.This conversation dives deep into what it takes to build trust in data, how AirDNA is expanding beyond analytics into operations, and why Rohit himself is buying a short-term rental to experience the products firsthand. He also pulls back the curtain on what's next for hosts—AI-powered tools, smarter revenue management, and a simpler, more connected tech stack for every investor and property manager.You'll walk away with a front-row view of the forces shaping the STR industry—from consolidation to AI—and a better understanding of where opportunity lies for hosts ready to level up. Don't miss this behind-the-scenes look at the future of AirDNA and short-term rentals.Key Takeaways Data as a mindset: Rohit's biggest lesson from Uber—never make decisions based on anecdotes; measure everything.The future is integrated: AirDNA is moving beyond data insights to operational tools that help hosts manage and scale.AI in action: Expect agent-style assistants that help hosts underwrite, price, and operate properties automatically.Power to the “long tail”: Most STR hosts don't use PMS tools—AirDNA aims to serve this group with simple, trustworthy software.Consolidation is coming: The STR tech space will mature fast, and the winners will have data, distribution, and customer trust.Sign up for AirDNA for FREE

Emily Glassberg Sands is the Head of Data & AI at Stripe where she leads the organization's efforts to build financial infrastructure for the internet & leverage AI to power Stripe's products. Stripe processes about $1.4 trillion in payments annually (~1.3% of global GDP), making it an exciting opportunity to apply AI & ML at scale. In this episode, Emily shares insights into how Stripe is using AI to solve complex problems like fraud detection, optimizing checkout experiences, & enabling new business models for AI companies. Emily also shares her economist perspective on market efficiency & how Stripe's focus on building economic infrastructure for AI is driving growth across the ecosystem.We discuss:* Stripe's domain-specific foundation model and “payments embeddings” that run inline on the charge path to detect sophisticated card-testing at scale (improved detection rates at large users from ~59% to ~97%).* The launch of the Agentic Commerce Protocol (ACP) with OpenAI, creating a shared standard for how businesses can expose products to AI agents which is used by Walmart and Sam's Club.* How Stripe is helping AI companies manage new fraud vectors, such as free trial and refund abuse, and the importance of real-time, outcome-based billing* The impact of AI on Stripe's internal operations, including the use of LLMs for code generation, merchant understanding, and internal tooling* Why many AI companies are going global day-one how Stripe's Link network (200M+ consumers) concentrates AI demand.* Whether we're in an AI bubble, why GDP hasn't reflected AI productivity gains yet, and how agentic commerce could expand consumption by removing time constraints for high-income consumers* Emily's perspective on the changing social contract around AI, the importance of deep thinking, and the role of brand and design in AI-driven products—Where to find Emily Sands* X: https://x.com/emilygsands* LinkedIn: https://www.linkedin.com/in/egsands/Where to find Shawn Wang* X: https://x.com/swyx* LinkedIn: https://www.linkedin.com/in/shawnswyxwang/Where to find Alessio Fanelli* X: https://x.com/FanaHOVA* LinkedIn: https://www.linkedin.com/in/fanahova/Where to find Latent Space* X: https://x.com/latentspacepodFull Show Notes: Full show notes: Get full access to Latent.Space at www.latent.space/subscribe

In this episode of ITE Talks Transportation, Jean-Paul Brissett, CEO of Quality Counts, discusses how data and artificial intelligence are reshaping transportation decision-making. Brissett examines how new technologies are enhancing access to and interpretation of data while raising critical questions about privacy and ethics. He also reflects on the evolving role of human judgment in an increasingly automated industry and the leadership skills needed to navigate that change. The conversation offers an insightful look at how innovation, data, and people intersect to drive the future of mobility.

Strategic Technology Consultation Services This episode of The Modern .NET Show is supported, in part, by RJJ Software's Strategic Technology Consultation Services. If you're an SME (Small to Medium Enterprise) leader wondering why your technology investments aren't delivering, or you're facing critical decisions about AI, modernization, or team productivity, let's talk. Show Notes "What do I mean by compute? Compute is whenever you want a computer to do a thing, okay, it requires the CPU to exist and I want the CPU to do a thing. How well it can do it Is based upon what kind of CPU you have. What kind of CPU they have since have it in miniature chip. So, if you have an NVIDIA chip, it does a lot of really good things, but as we know, they're very expensive, and that's why NVIDIA is like what, I guess, the largest company in the world right now."— Michael Washington Hey everyone, and welcome back to The Modern .NET Show; the premier .NET podcast, focusing entirely on the knowledge, tools, and frameworks that all .NET developers should have in their toolbox. I'm your host Jamie Taylor, bringing you conversations with the brightest minds in the .NET ecosystem. Today, Michael Washington joined us to talk about his open source project "Personal Data Warehouse", what a data warehouse is, and the why we collect data in our applications. We also talk about the differences between storing data in the database and storing it in a data warehouse—one of the biggest differences, as you'll find out, is the difference in cost. "The only reason why we collect any data is because at some point a human being needs this data to make a decision. Seriously, and I challenge anyone to come up with any exceptions to that."— Michael Washington Along the way, we talked about the benefits and pitfalls of leveraging AI (particularly LLMs) in your applications. Both Michael and I agree that there is little "intelligence" in LLMs in the traditional sense, and Michael brings up the most important point when deciding to an LLM in your application: that a human must always make decisions based on what data they have and what the LLM can provide. We must never hand over decision making to LLMs. Before we jump in, a quick reminder: if The Modern .NET Show has become part of your learning journey, please consider supporting us through Patreon or Buy Me A Coffee. Every contribution helps us continue bringing you these in-depth conversations with industry experts. You'll find all the links in the show notes. Anyway, without further ado, let's sit back, open up a terminal, type in `dotnet new podcast` and we'll dive into the core of Modern .NET. Full Show Notes The full show notes, including links to some of the things we discussed and a full transcription of this episode, can be found at: https://dotnetcore.show/season-8/data-ai-and-the-human-touch-michael-washington-on-building-trustworthy-applications/ Useful Links: Apache Parquet Personal Data Warehouse on: Windows App Store GitHub Michael on: Find an MVP GitHub Bluesky Blazor Help Website blazordata.net AI Story Builders Supporting the show: Leave a rating or review Buy the show a coffee Become a patron Getting in Touch: Via the contact page Joining the Discord Remember to rate and review the show on Apple Podcasts, Podchaser, or wherever you find your podcasts, this will help the show's audience grow. Or you can just share the show with a friend. And don't forget to reach out via our Contact page. We're very interested in your opinion of the show, so please get in touch. You can support the show by making a monthly donation on the show's Patreon page at: https://www.patreon.com/TheDotNetCorePodcast. Music created by Mono Memory Music, licensed to RJJ Software for use in The Modern .NET Show. Editing and post-production services for this episode were provided by MB Podcast Services.

This week, the GovNavigators welcome Oliver Wise, former Chief Data Officer at the Department of Commerce and now Executive Director of the Bloomberg Center for Government Excellence at Johns Hopkins University. Oliver discusses his experience leading data initiatives across Commerce, including efforts to make federal data usable in an AI-driven world, and explains how local governments can harness data to improve lives through programs like the City Data Alliance.From federal policy to city hall, Oliver shares how better data governance—and a new model of collaboration between levels of government—can help public servants everywhere deliver smarter, more trustworthy results.Show Notes:For our furloughed friends: Shutdown deals around townEvents on the GovNavigator's Radar:Check out GovExec's new events calendar October 9, 2025: Federal News Network's 25th Anniversary GalaOctober 9, 2025: FedInsider / Carahsoft Innovation Summit 

Send me a messageIn this week's episode of the Sustainable Supply Chain Podcast, I sit down with Dag Calafell, Director of Technology Innovation at MCA Connect, to explore how data and digital tools are reshaping manufacturing and supply chains. With more than 25 years of experience in steel and automotive, Dag has seen first-hand how waste creeps into processes, and how technology can help eliminate it.We dig into why so many organisations are still running core planning on Excel, and what happens when companies move beyond disconnected systems towards true data visibility. Dag explains how AI, IoT, and smart sourcing agents can transform supplier relationships, reduce risk, and embed sustainability directly into day-to-day decision making. He shares striking examples, from a food manufacturer wasting energy on unnecessary refrigerated transport, to a materials producer that boosted forecast accuracy by 60% and cut excess inventory by nearly a third.The conversation also touches on lean principles, the power of continuous improvement, and the role of executive alignment in setting measurable goals for carbon reduction. We talk about future supply chain models too, whether lights-out factories, robotics, or distributed manufacturing networks that reduce transport emissions.For supply chain leaders, the takeaway is clear: sustainability is inseparable from efficiency. When you collect the right data, apply the right tools, and commit to improvement, you not only cut costs and boost resilience, you reduce your environmental footprint at the same time.Listen in for practical lessons and forward-looking insights that can help your organisation modernise, decarbonise, and stay competitive in an increasingly complex supply chain landscape.Elevate your brand with the ‘Sustainable Supply Chain' podcast, the voice of supply chain sustainability.Last year, this podcast's episodes were downloaded over 113,000 times by senior supply chain executives around the world.Become a sponsor. Lead the conversation.Contact me for sponsorship opportunities and turn downloads into dialogues.Act today. Influence the future.Podcast supportersI'd like to sincerely thank this podcast's generous Subscribers: Alicia Farag Kieran Ognev And remember you too can become a Sustainable Supply Chain+ subscriber - it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one and give you access to the full back catalog of over 460 episodes.Podcast Sponsorship Opportunities:If you/your organisation is interested in sponsoring this podcast - I have several options available. Let's talk!FinallyIf you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on LinkedIn, or send me a text message using this link.If you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it. Thanks for listening.

Prepare-se para uma imersão nos bastidores do mais recente encontro de engenharia de dados em Brasília e descubra as tendências que estão moldando o futuro da área. Neste episódio, Vitor Ramos conversa com Wesley Outeiro e outros participantes para compartilhar os principais insights e aprendizados do evento presencial, organizado pela Engenharia de Dados Academy e como palestrante Luan Moreno.Uma conversa sincera sobre a importância das interações presenciais, a evolução da comunidade de dados e o impacto da Inteligência Artificial no dia a dia dos profissionais.O que você vai aprender neste episódio:A importância do networking e da comunidade para o crescimento pessoal e profissional na área de dados.Como a interação presencial em eventos potencializa o aprendizado e a colaboração.As principais tendências em dados e IA que estão criando novas oportunidades e desafios para o mercado.Por que o domínio dos conceitos fundamentais é mais crucial do que nunca para o sucesso na engenharia de dados.A relevância de FinOps para a gestão eficiente de custos de nuvem em projetos de dados.Reflexões sobre como a dinâmica de eventos e a troca de conhecimento estão evoluindo.O poder de se conectar com líderes da indústria para se inspirar e motivar sua carreira. Luan Moreno = https://www.linkedin.com/in/luanmoreno/