Podcasts about data ai

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

AI is moving fast. But the data foundations underneath it are not. That is the core theme of my latest interview with Rajan Goyal, Founder and CEO of DataPelago on The Ravit Show, recorded at their office in Mountain View.Here is what we unpacked -- Why now- Three shifts are colliding at once. Hardware acceleration is now mainstream. Generative AI has changed how data is created and consumed. Data complexity has exploded beyond what existing systems were designed to handle. The result is clear. Enterprises do not just need faster systems. They need a more unified data foundation.Where the tension is- AI models are advancing quickly, from multimodal systems to agents and domain-specific LLMs. But the data infrastructure beneath them is still built for an analytics-first world. Most companies spend more time moving data between systems than actually innovating with it.What DataPelago is building- We spent time breaking down DataPelago Nucleus, described as the world's first universal data processing engine. One engine that can handle batch, streaming, relational, vector, and tensor workloads together. The key idea is simple but powerful. Ingest, transform, and query data without constantly moving it across systems.We also talked about what makes their approach different.- A DataOS layer that intelligently maps workloads across CPUs, GPUs, and other accelerators.A DataApp layer that plugs into engines like Spark and Trino.And DataVM, a data-focused virtual machine that unifies execution across heterogeneous hardware.Why Spark acceleration matters- For teams running Spark today, we discussed the DataPelago Accelerator for Spark. It runs existing Spark workloads on accelerated compute with zero code changes. Faster joins, shuffles, preprocessing, and lower cost, without rewriting pipelines.Why today's stack is breaking- Warehouses, lakes, and lakehouses were built for SQL analytics. AI workloads need tight coupling between data and compute. The separation we see today leads to redundant pipelines, silos, and expensive data movement. Many teams are forced to optimize for analytics or AI, but not both.Why DataPelago was founded and what customers see- The founding insight was clear. Data systems were never designed for AI-scale throughput. Customers adopting this approach are unifying analytics and AI pipelines on one platform, simplifying infrastructure while improving performance, governance, and observability. Rajan made an interesting comparison. This shift for data processing is similar to what GPUs did for compute.What's next- We closed by talking about how the data and AI relationship will evolve over the next few years, and what this looks like in real-world deployments. That is what the next episode will dive into.If you are building AI systems and still relying on analytics-era data foundations, this one is worth your time.#data #ai #gpu #datapelago #lakehouse #sql #analytics #theravitshow

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?

AI promises smarter IT Asset Management, but only when the data and decisions behind it can be trusted. In this episode, we unpack how organizations are using data and AI in ITAM, where things can go wrong, and what responsible adoption really looks like. The conversation highlights real-world challenges, governance considerations, and the mindset needed to balance speed, insight, and control. "But in order for us to start leveraging at scale these kind of capabilities, we need to have that foundational trust. And that's nothing new. That's been the case for IT asset management for as long as I've, you know, been in this industry, which is a long time. You know, so having trustworthy data underpinning your IT asset management practice has always been the case, and it's no different now. " - Kieron Dean, SeriveNow

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

I detta avsnitt: Kim Berg, CTO för Data & AI på Sogeti Sverige. Tillsammans rätar vi ut frågetecknen kring Microsofts plattform Fabric och vad som krävs för att lyckas som ny IT-konsult. Från tekniska buzzwords till de mjuka värdena som gör dig till en uppskattad konsult – här får du hela bilden.Vad är Microsoft Fabric egentligen? Kim förklarar hur Fabric fungerar som en enhetlig data- och analysplattform (SaaS) som samlar integration, lagring, analys och visualisering på ett ställe.Vad gör en konsult på dagarna? Det handlar inte bara om att få data att flöda, utan att skapa värde. Vi pratar om konkreta case som Husqvarna och Karlstads kommun, från OEE-analys i fabriker till chatbots för felsökning.Förkunskaper för att lyckas: Vilka tekniska grunder behöver du ha koll på innan du söker? (Spoiler: Python, SQL och Azure fundamentals är heta tips!).Konsultrollen & "Human Skills": Varför nyfikenhet, samarbetsförmåga och att förstå affärsnyttan är minst lika viktigt som att kunna koda.Microsoft Fabric: OneLake, Lakehouse vs Data Warehouse, Delta Lake, Pipelines.Verktyg: Power BI, Data Factory, Python, SQL.Certifiering: AZ-900 (Microsoft Azure Fundamentals) rekommenderas som startpunkt.Är du redo att kickstarta din karriär? Håll utkik efter ansökningsperioden för Sogeti CareerBooster och börja din resa mot att bli en "Fullstack Data Consultant".

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.

In this episode, Alex Rawlings speaks with Jamyn Edis, digital transformation expert, former VC-backed CEO, and NYU professor. Jamyn shares actionable insights on using AI, data, and automation to drive performance across private equity firms and their portfolio companies.From dynamic pricing models and A/B testing to agentic AI and accelerating product cycles, Jamyn explains how to cut through the hype, identify real opportunities, and turn AI into measurable value.⏱️ Episode Highlights00:00 – Meet Jamyn Edis 30+ years in consulting (Accenture), corporate (HBO, Take-Two), startups, and teaching at NYU. Focused on the intersection of tech, data, and private equity.02:23 – Common Mistake in PE Most firms treat data as plumbing, not strategy. Shift from backward-looking reporting to predictive and prescriptive analytics.03:48 – AI That Delivers ROI AI must be embedded into daily operations, not stuck in R&D. Productize, operationalize, and commercialize—or risk irrelevance.05:15 – How AI Builds on Data AI is powered by historical data but creates forward-looking insights. Use it to improve pricing, marketing, and operations.06:42 – Case Study: Take-Two Interactive Jamyn led data science initiatives to optimize pricing and marketing—replacing gut decisions with data-driven experimentation.08:08 – AI as PE's Next Value Driver AI is the new operating system for PE. After leverage and digital transformation, the next edge is intelligence at scale.09:31 – Advice to PE Firms Skeptical? “Get out before the business gets out of you.” Overwhelmed? Start small, build prototypes, and focus on real use cases.11:04 – Agentic AI in Action Jamyn shares examples of cutting development cycles, boosting campaign ROI, and improving customer service with AI agents.13:26 – From Problem to Prototype Diagnose real pain points, create business and technical requirements, and build targeted AI tools that solve specific problems.14:50 – AI Won't Replace Humans, But... Those who use AI will outperform those who don't. Jamyn explains Jevons Paradox and why productivity leads to new jobs.18:46 – How Jamyn Diagnoses Opportunities Structured discovery process, stakeholder interviews, and clear roadmaps to identify where AI and tech can drive value.22:10 – Every PE Firm Needs an AI Stack Soon, AI tools will be as essential as data teams or web developers. Invest now in people, platforms, and processes.23:06 – The Future is AI + Human Judgment Firms that embed AI deeply—and pair it with operator judgment—will unlock the next generation of alpha.24:21 – Jamyn's Book: The Fifth Horseman An exploration of how AI mirrors humanity and transforms the way we live and lead. AI is trained by us—and reflects us.29:07 – What Jamyn Reads & Recommends Books: The Hard Thing About Hard Things, Understanding Media Podcasts: Pivot, Ezra Klein TV: Succession – “Still the best corporate training program ever made.”

 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.

The economy has its cheerleaders and detractors, but one thing that is keeping it propped up is the small businesses of America. The Paychex Small Business Employment Watch shows that despite the hourly earnings growth coming in below 3% for 11 straight months, it has stayed consistent at about 2.7%. This is based on real payroll numbers, and with government job numbers not based on that – and missing last week because of the shutdown – it's important to have reliable job and wage data. Gene Marks shares a new way to measure income data, plus he discusses how data doesn't reflect AI taking people's jobs in America as of yet. Listen to the podcast. Additional Resources Check out how Paychex helps businesses DISCLAIMER: The information presented in this podcast, and that is further provided by the presenter, should not be considered legal or accounting advice, and should not substitute for legal, accounting, or other professional advice in which the facts and circumstances may warrant. We encourage you to consult legal counsel as it pertains to your own unique situation(s) and/or with any specific legal questions you may have.

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 

Host ⁠James Benham⁠ is joined by Steve Kappel from Safety National. Steve takes us inside the CIO's lens on data, AI, and industry change. Discover why innovation from within matters, how global strategy conversations shape technology leadership, and why educating the industry on AI and data has never been more important.James Benham: https://www.linkedin.com/in/jbenhamSteve Kappel: https://www.linkedin.com/in/stevekappel/Safety National: http://www.safetynational.com/This Episode is sponsored by ⁠⁠⁠⁠Terra, the Next Generation Claims and Policy Software for Workers' CompVisit

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.

"85% of AI use cases are being evaluated by the engineer who built it saying, 'yep, seemed to work pretty well.' If you're gonna build a system that's going to be critical to the business, that's going to be important that it gets it right, then you can't do that without evaluations." - Craig Wiley Fresh out of the studio, Craig Wiley, Senior Director of Product Management at Databricks who leads Mosaic AI, joins us to discuss the forefront of enterprise AI from model development to deployment at scale. Beginning with his career journey in ML operations, Craig explained how he recognized the critical connection between data and AI layers that could deliver order-of-magnitude acceleration in development cycles. Emphasizing the transition from classical ML operations to LLM operations, he showcased how Databricks' unified platform eliminates training-serving skew through data lineage capabilities and supports both fine-tuning and RAG approaches depending on industrial use case requirements. Highlighting compelling customer success stories including Suncorp's employee productivity platform and AstraZeneca's transformation of 400,000 clinical trial documents into queryable insights, Craig revealed a striking reality about enterprise AI evaluation - that 85% of AI use cases are being evaluated only by the engineers who built them, reinforcing that proper evaluation frameworks remain foundational for trustworthy AI implementation. He concluded by introducing Agent Bricks as Databricks' evaluation-centric approach to building production agents, emphasizing that model flexibility and rigorous testing are essential for enterprises moving from experimentation to production, while sharing his vision that the industry must evolve from the "year of agents" to the "year of evaluation and quality." Episode Highlights: [00:00] Quote of the Day by Craig Wiley [01:21] How Craig Wiley started his work in ML Ops that led him to Databricks [02:43] Data and AI layer connection creates order-of-magnitude acceleration [03:47] Mosaic AI acquisition expanded Gen AI solution capabilities [04:38] Classical ML statistics versus Gen AI evaluation challenges [05:48] Mosaic AI covers end-to-end from data ingestion [07:12] Training-serving skew eliminated through unified platform lineage [08:51] Fine tuning versus RAG depends on use case [10:49] Industrial agents benefit from fine-tuned smaller models [12:44] Common governance scheme covers tables through model access [13:52] Agent Bricks prioritizes accuracy over simplicity alone [15:44] Model flexibility crucial for speed and accuracy optimization [16:54] AB testing different models shows immediate performance differences [17:59] Suncorp and AstraZeneca demonstrate diverse AI applications [19:37] Asia Pacific shows aggressive AI adoption strategies [20:59] CFO approval requires proven agent effectiveness evaluation [22:00] 85% of AI cases evaluated only by building engineer [23:20] Model agnostic approach beats single-vendor AI strategies [24:12] Industry terminology evolves rapidly from RAG to agents [25:39] Customer creativity with governance capabilities inspires product development Profile: Craig Wiley, Senior Director of Product Management at Databricks and Mosaic AI LinkedIn: https://www.linkedin.com/in/craigwiley/ Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

EAB's Christine Doci and Lars Waldo discuss ways that AI is helping universities manage and access fragmented IT systems. The two discuss the shortcomings of early data warehousing efforts and offer tips on how to use AI to organize and accelerate access to data without compromising privacy or governance constraints.

On today's Technology Report podcast, sponsored by Elbit America, Scott Sloan, the president of Stratascorp Technologies, joins Defense & Aerospace Report Editor Vago Muradian to discuss his commentary on the AFCEA website — “Data Won't Solve Everything, But It Will Help: Interdepartmental data-sharing could be a game-changer for the future of the maritime industrial base workforce” — how to leverage data to more thoughtfully address workforce challenges; the importance of structuring data collection systems with sharing in mind; engineering data systems to ensure collaboration across government and industry; roles of artificial intelligence and machine learning in data collection and analysis; how to scale recruiting beyond the maritime industry to also include air, land, space, and cyber fields; opportunities and challenges as the Trump administration implements the Cybersecurity Maturity Model Certification approach to improve cybersecurity.

Ever wonder how companies in the crowded data and AI space build powerful alliances to drive revenue and growth? In this episode, I sit down with Eleanor Thompson, a partnerships expert based in London and founder of a successful partnerships consultancy. Drawing from her experience running the partner program at Fivetran during its hyper-growth phase, Eleanor shares the essential strategies for building a successful partnership ecosystem from the ground up. We also also discuss the mental fortitude required for entrepreneurship, drawing surprising parallels between running a business and competing in high-intensity fitness events like Hyrox. Tune in to learn:The fundamental reasons why partnerships are critical for expanding your reach and generating revenue. When is the right time for a startup to focus on partnerships (hint: it's not day one). Eleanor's "4A" framework (Alignment, Ability, Audience, Accountability) for identifying the perfect partner. The key roles, from Partner Sales Engineers to Partner Ops, needed to build a successful partnerships team. Red flags to watch for when a potential partner is more focused on margin than customer value. How AI can be used to identify ideal partners and even predict their future success. Find Eleanor Thompson online:LinkedIn: Eleanor Thompson Website: https://branchworks.io #BusinessPartnerships #DataEngineering #AI #Entrepreneurship #Tech #Startup #GoToMarketTimestamps00:49 - Who is Eleanor Thompson? 02:25 - Why Do Business Partnerships Exist? 05:26 - When is the Right Time for a Company to Start Building Partnerships? 06:40 - The 4A Framework for Defining Your Ideal Partner Profile 08:20 - Joe's Experience Partnering with Big Tech 12:33 - How to Structure a Partnerships Team in a Growing Tech Company 20:49 - What is Partner Operations and Why is It a Critical Hire? 22:30 - The Importance of Trust and Referral Fees 25:15 - Eleanor's Journey as an "Accidental CEO" 30:10 - The Mental Fitness and Resilience Required to Be a Founder 41:20 - How to Use AI in Your Partnership Strategy 45:00 - How to Spot a Good Partner on the Very First Call 46:33 - Red Flags to Watch For in Potential Partners 51:35 - How Fitness and Hyrox Competitions Fuel Business Success 59:45 - Where to Find Eleanor Thompson

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/

Episode OverviewIn this episode of CDO Matters, Malcolm Hawker sits down with Andreas Blumauer to explore how knowledge graphs are transforming enterprise data strategies. They discuss why semantics and domain models are critical for making data truly AI-ready, and how CDOs can use these tools to bridge the gap between data governance and AI innovation. If you're leading data initiatives and want to understand the future of knowledge management, this conversation is essential listening.Episode Links and ResourcesFollow Malcolm Hawker on LinkedInFollow Andreas Blumauer on LinkedIn

AI-driven search (AISEO) is opening a new lane for brands in competitive categories. Joe Davies from FATJOE explains why branded mentions (not just links) are increasingly what LLMs use to decide recommendations—and how teams can systematically earn those mentions. We cover tactics like guest blogging at scale, context-seeding your USP across reviews/listicles, building deep product docs to feed LLMs, and using tier-two links to get your “influencer pages” ranking. Early data shows 2–3× higher conversion rates from AI-referred traffic because buyers arrive pre-educated and ready to act.What You'll LearnWhy AISEO rewards brand mentions and clear USPs more than classic link metrics.How AI-referred traffic converts 2–3× higher than traditional search.A repeatable process to seed your brand in listicles, reviews, and comparisons.How to “context-seed” your USP so LLMs recommend you for the right reason.Why deep help docs / knowledge bases make LLMs more confident recommending you.How to choose targets (DR + real traffic), then lift them with tier-two links.The state of AISEO observability (what to track, what's still immature).Tactical Playbook (Step-by-Step)Define your USP: the specific “best for ___” angle you want LLMs to repeat.Keyword map long-tail, bottom-funnel queries (e.g., “best X for Y,” “X vs Y,” “X alternatives,” “[product] review”).Prospect targets with credible traffic (DR is fine as a filter, but prioritize verified organic traffic).Commission content: secure guest posts/listicles and full reviews on those sites. Mix formats to look natural.Context-seed your USP in every placement (e.g., “Best for small teams,” “Most features,” “Best value”).Include competitors in listicles/reviews so the page is useful (LLMs prefer balanced sources).Boost with tier-two links (niche edits, syndication) to help these pages rank on pages 1–3.Expand surface area: Reddit answers, YouTube/tutorial mentions, and social chatter to reinforce brand salience.On-site foundation: build exhaustive docs—features, integrations, FAQs, facts sections—so LLMs can learn you deeply.Measure pragmatically: track referral traffic from AI surfaces and downstream conversions; current “AI visibility” tools are early.Resources & MentionsChatGPT Path (shows the searches/sources ChatGPT runs under the hood): https://chromewebstore.google.com/detail/chatgpt-path/kiopibcjdnlpamdcdcnphaajccobkbanFATJOE — Brand Mentions Service: http://fatjoe.com/brand-mentionsFATJOE: https://fatjoe.com/Key TakeawaysAISEO is early but growing fast and already drives higher-intent traffic.Focus on being mentioned credibly across the open web; LLMs synthesize those signals.Listicles + reviews on high-trust, real-traffic sites are the current highest-leverage assets.Your docs are marketing now—LLMs read them and recommend accordingly.Don't abandon SEO; it remains the foundation that AI systems lean on.Chapters00:00 Cold open: AISEO's opportunity & why mentions matter03:45 Data: AI referrals converting 2–3× vs. classic SEO07:50 Who should prioritize AISEO (and who can wait)10:30 Tactics: listicles, reviews, and “context-seeding” your USP15:45 Tools & workflows; extension that reveals ChatGPT's queries19:45 Content ops: human vs. AI writing, plans, and clustering22:30 Build deep product docs to feed LLM understanding26:10 Ranking the influencer pages + tier-two links33:00 Observability today: what's useful, what isn't yet36:50 The next 5–10 years: AI + SEO, not AI vs. SEOGuestJoe DaviesX: https://x.com/fatjoedaviesLinkedIn: https://es.linkedin.com/in/joe-davies-seoWebsite: https://fatjoe.com/

Join this episode of DM Radio as host Eric Kavanagh speaks with Steve Sobel of Databricks and Anmol Madan of RadiantGraph. Discover how data and AI are driving a long-overdue transformation in the U.S. healthcare system, a sector that accounts for nearly 20% of the GDP. Learn how modern data architectures, real-time analytics, and AI-driven personalization are enabling healthcare organizations to deliver more efficient, empathetic, and effective care. From breaking down data silos to engaging patients in smarter, more meaningful ways, the guests reveal how the right technology can radically improve outcomes for both providers and patients.

Today's guest is Zar Toolan, General Partner and Head of Data & AI at Edward Jones, joining Emerj Senior Editor Matthew DeMello to explore how AI can be strategically aligned with corporate goals in financial services. Zar shares his perspective on overcoming barriers to AI adoption, the critical build-versus-buy-versus-partner decisions, and the human-centered change management required for scalable AI transformation. He also discusses the importance of responsible AI principles, leveraging data as a competitive asset, and evolving talent strategies to thrive in today's intelligence age. This episode is sponsored by EPAM. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast!

In this powerful episode, Shannon sits down with ultra Catalyst leader Juan Carlos Lopez (JC), Director of Data & AI at Schibsted Media in Norway. With a career that spans telecom, energy, automotive, media, and e-commerce, JC has built a reputation for turning complex technical challenges into sweeping business transformations.JC shares hard-won insights from the trenches—starting with the critical importance of breadcrumbing your value. He reveals how failing to make your impact visible, both internally and externally, can limit not just your own growth but also your team's ability to continue driving change. Now, JC leverages storytelling and data to clearly articulate his value and gain the sponsorship needed to sustain momentum.Together, Shannon and JC unpack what makes Catalysts uniquely successful across industries: the ability to form strong teams, connect the unconnected, and blend disciplines to create industry-defining innovation. Whether it's transforming e-commerce through AI or building internal movements that spark cultural change, JC's playbook is a masterclass in strategic leadership.You'll also hear JC's approach to leading through chaos—how he grounds himself first ("putting on his own oxygen mask") and then supports his teams with empathy and emotional intelligence during times of rapid change.If you're a Catalyst looking to scale your leadership, amplify your impact, and drive meaningful transformation—this conversation is for you.Original music by ⁠⁠⁠⁠⁠⁠⁠Lynz Floren⁠⁠⁠⁠⁠⁠⁠.

What if storytelling isn't just communication—but the original form of intelligence? Angus Fletcher, story scientist and Ohio State professor (featured on Malcolm Gladwell's Revisionist History Podcast), explains why narrative thinking is more powerful than data, logic, or AI. From neurons to Shakespeare to U.S. Special Ops, this conversation reveals how stories help us plan, survive, and imagine a better future. Angus Fletcher's new book available for pre-order! The Storytelling University is part of the 7 Minute Stories Universe Created & Produced by Aaron Calafato & Brooks Borden

Planets Labs CEO Will Marshall joins Manifest Space to discuss the company's rapid growth, fueled by deals across the globe as the changing geopolitical landscape means countries are looking for real-time data from satellites to respond to natural disasters, security threats and more. Planet Labs stock is up more than 100% in the last three months and Marshall talks about the demand for his company's product.  

Planets Labs CEO Will Marshall joins Manifest Space to discuss the company's rapid growth, fueled by deals across the globe as the changing geopolitical landscape means countries are looking for real-time data from satellites to respond to natural disasters, security threats and more. Planet Labs stock is up more than 100% in the last three months and Marshall talks about the demand for his company's product.  

Fatih Nayebi is the Vice President of Data & AI at ALDO Group where he leads AI initiatives that transform retail operations and customer experiences. He's also a Faculty Lecturer at McGill University and the author of Foundations of Agentic AI for Retail, the first book on autonomous AI systems in retail. He demystifies agentic ai, federated learning and the promise of A2A (agents to agents) and while these advances will still need humans in the loop. Come learn how AI is reshaping retail and the opportunities of scaling these technologies.

Vanessa Jones-Nyoni, Chief Data Officer at Commerzbank NY, joins How I Met Your Data to share her journey from Sierra Leone to the C-suite. We dive into the realities of modern data leadership in a highly regulated industry—balancing innovation with governance, wrangling unstructured data, and building a culture of AI and data literacy. Plus: what it's really like leading a lean team, the power of one-on-one influence, and the mission behind Women Data Professionals.

Step inside the world of data innovation as Don Vu, SVP and Chief Data and Analytics Officer at New York Life, reveals how a 180-year-old institution is embracing cutting-edge AI. Don, shares insights from his unique background, spanning Major League Baseball and retail startups, now applied to transforming the insurance industry. Hear how New York Life leverages AI to make experiences proactive and intelligent, addressing challenges like the "last mile problem" in data operationalization. Key Moments: MLB Data Insights (07:28): The conversation delves into how every baseball stadium is extensively instrumented with high-speed camera and radar technology, meticulously tracking every object on the field. This massive trove of data is then shared across all baseball clubs for in-depth analysis and the optimization of strategies.The Last Mile Problem (09:38): A critical challenge in data and AI is identified as the "last mile problem," emphasizing that the primary hurdles often lie in the operationalization, change management, adoption, and acceptance of solutions, extending far beyond the mere building of models.Data & AI in Business Strategy (13:08): The discussion highlights that data serves as the fundamental underpinning for seamless operations, while AI actively transforms experiences, making them proactive and intelligent. This deep integration of AI and data is central to New York Life's core business strategy.Data Readiness & Quality (20:08): Persistent data readiness issues are addressed, underscoring that data quality, latency, governance, and stewardship—with business owners held accountable—are absolutely crucial for both structured and unstructured data environments.AI Interoperability & Agent-Driven Future (22:43): The episode explores the importance of tracking emerging AI protocols such as MCP (Model Context Protocol) and agent-to-agent protocols. A compelling vision of the future is also shared, where AI agents act on behalf of consumers. Realizing this vision depends on interoperability across AI systems, enabling smooth, intelligent collaboration between diverse platforms.GuideMe Application & AI (32:46): New York Life's innovative "GuideMe" tool, utilized by agents during client meetings, is described as possessing incredible potential for pervasive AI integration. This integration is set to significantly supercharge both the agent and client experience, streamlining financial planning.Key Quotes:“There is this phrase that data practitioners often cite. It's like this notion of garbage in, garbage out. And data quality matters. The latency of your data is significantly important. The notion of data governance and data stewardship, with a business owner being accountable for the quality of data, is really important." - Don Vu“We think human-led protection-first holistic advice and guidance is really the key here, and we have amazing advisors, we have amazing agents throughout the country, and what we're really focused on is really enhancing them and trying to make their lives easier by having AI at their side.” - Don Vu“Data is the underpinning foundation upon which that runs seamlessly and consistently. AI is the way by which it becomes proactive and intelligent across the entire set of experiences.” - Don VuMentionsHow New York Life's “Guide Me” is Leading the Way in Digital TransformationRockaway Beach: New York's Best Kept SecretLeading Change: By John P. KotterDiner: South Williamsburg, Brooklyn RestaurantGuest Bio Don Vu is the Senior Vice President and Chief Data and Analytics Officer at New York Life. In this role, Don leads the company's artificial intelligence (AI) and data team, overseeing AI, data, and insights initiatives and ensuring data architecture supports New York Life's business objectives. Prior to joining New York Life, Don served as chief data officer at Northwestern Mutual, where he spearheaded organizational transformation and enterprise data and AI strategy. His impressive career also includes leadership positions at WeWork as vice president of data and analytics and 13 years at Major League Baseball (MLB) as vice president of data and analytics. Don holds a B.S. in Information Systems and Commerce from the University of Virginia and actively contributes to the field as an advisory board member for McIntire's Business Analytics program. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Palantir's technology has been used by everyone from the CIA and Mossad to Airbus and Morgan Stanley. The multi-billion dollar big data software company is at the centre of many of the major issues of our time. Michael Steinberger is a reporter with The New York Times Magazine and the author of a forthcoming book on Palantir's CEO entitled ‘The Philosopher in the Valley.' He joins the show to discuss Palantir's wide-reaching technology, and what it tells us about the future of government and surveillance.For transcripts of Front Burner, please visit: https://www.cbc.ca/radio/frontburner/transcripts

Struggling with growth? These proactive strategies for staffing firms will help you thrive—even in uncertain times. Staffing firm leaders are facing structural shifts: AI, automation, and budget pressure are no longer future threats—they're current realities. In this episode, Brad Bialy sits down with Marty Borosko and Michael Napolitano to break down how firms can get ahead by leveraging data, strengthening leadership infrastructure, and avoiding the reactive cycle that defines most staffing operations. This discussion unpacks urgent priorities for firms that want to scale, sell, or simply survive in today's economy: Why the current downturn may be structural, not just cyclical—and how to respond How data analytics (not just intuition) can guide smarter decisions Why founder-led firms must evolve: from founder-dominant to founder-inspired leadership What separates commoditized staffing vendors from trusted advisors How AI is impacting the staffing landscape—and why it's still the human conversation that closes deals The role of strategic partnerships in creating real value (beyond cutting costs) Whether now is the right time to sell your staffing firm—and what makes a firm market-ready This video should inspire you to explore: Staffing data optimization Founder evolution and exit strategies Positioned for staffing leaders, recruiting firm owners, and executive teams, this episode features insights that rival those shared by Staffing Industry Analysts and The SIA Podcast, highlighting how high-performing firms are adapting faster—and smarter. About the Speakers: Brad Bialy is host of Take the Stage and InSights, two of the leading podcast for the staffing industry, presented by Haley Marketing. He has a deep passion for helping staffing and recruiting firms achieve their business objectives through strategic digital marketing. For over a decade, Brad has developed a proven track record of motivating and educating staffing industry professionals at over 100 industry-specific conferences and webinars. As a visionary leader, Brad has helped guide the comprehensive marketing strategy of more than 300 staffing and recruiting firms. His keen eye for strategy and delivery has resulted in multiple industry award-winning social media campaigns, making him a sought-after expert and speaker in the industry. Martin L. Borosko has been the Managing Member of the firm since 2006. Under his leadership, the firm has grown into one of the premier boutique firms with offices in New York, California, New Jersey and Pennsylvania. Marty leads the Staffing team within the firm dedicated to studying the best legal practices within the Staffing Industry. His philosophy is to direct clients toward legal strategies that facilitate growth and increase enterprise value in the long term.  He often works as part of a team with leading investment bankers, accountants and risk managers to implement comprehensive growth strategies for clients. Marty is a frequent contributor to legal & business publications and lectures across the country on emerging issues impacting the Staffing Industry.  He is the Chairman of the Becker Buy-Side M&A Summit, one of the Founders of the Launch Staffing Conference and sits on the TechServe Alliance M&A Marketplace as their designated law firm. Michael Napolitano is a partner with over 25 years of experience providing counsel and services in areas of profit enhancement, budgeting, planning, and compensation restructuring, helping clients to operate more efficiently. As a practice co-leader of Citrin Cooperman's Staffing Services Practice, Mike has a specialized focus in the staffing industry. He also has deep expertise in the construction industry, advising contractors, developers, and construction products manufacturers. Additionally, he advises clients in technology, health care, food services, manufacturing and distribution, and various professional services firms. Michael provides a balance of deep industry knowledge and insight, extending his services beyond financial statements and tax returns to help clients understand the impact of their decisions, as well as plan for their future success. As a partner in valuation advisory services practice, Michael provides fraud and forensic accounting counsel in the areas of business partner disputes, marital dispute resolutions, damage calculations, uncovering hidden revenue, and litigation support. Clients benefit from his extensive experience and knowledge, as well as his strategic approach, which combines identifying clear, concise objectives with efficient follow-through. Michael frequently speaks and writes on issues related to the construction and staffing industries. He has presented at annual industry conferences held by the New Jersey Staffing Association.   Offers Heard in this Episode: 30 minutes of strategic marketing consultation with Brad Bialy: https://bit.ly/Bialy30 Special Offers! Our Best Savings of 2025: https://bit.ly/bialyoffer What if your back office fueled your growth instead of holding it back? TRICOM makes it happen! From payroll and billing to accounting and asset based lending, they clear the roadblocks and power your path forward. Your team gets paid, your cash flow stays steady and your business scales like never before. TRICOM doesn't just support you, they set you up to soar. Visit https://www.TRICOM.com to learn more. 

Commercial Real Estate Technology is transforming the way properties operate, generate value, and serve tenants—and no one explains it better than Bill Douglas, CEO of Optic Wise and known as The Resilience Guy.In this powerful conversation, Bill dives deep into how embracing technology is no longer optional for owners, operators, and investors. He outlines actionable strategies that help stakeholders transition from overwhelmed and outdated systems to data-empowered operations with better outcomes.We explore how to turn siloed data into insights, why controlling your own infrastructure is critical, and how leveraging AI in real estate can streamline workflows and reveal opportunities hiding in plain sight. Bill explains how digital infrastructure, once an afterthought, is now essential to tenant satisfaction and portfolio performance.This episode answers real questions that real estate professionals are asking:How can I reduce operating costs without sacrificing service?What can I do with all this building data—and where is it even stored?Is there a way to boost Net Operating Income (NOI) using technology?What tools actually work when it comes to machine learning in building management systems?Bill also shares deeply personal stories—from surviving a coral snake bite to overcoming multiple sclerosis—and how these experiences shaped his approach to resilient leadership, work-life balance, and building companies that value people as much as profit.If you're navigating the noisy world of PropTech, struggling to make sense of data lakes, or searching for ways to boost tenant satisfaction, this conversation is a blueprint for success. Whether you're an investor, property manager, or tech-savvy operator, this episode will help you see exactly how commercial real estate technology can solve your biggest problems—and position your portfolio for long-term growth.00:00 – Intro: Meet Bill Douglas & “The Resilience Guy”01:10 – Entrepreneurship, Snakebite & Starting Over03:25 – Work-Life Balance & Defining Identity Beyond Business05:02 – What Optic Wise Does for Commercial Real Estate07:45 – What Is Digital Infrastructure & Why It Matters09:28 – Data Ownership, Data Lakes & Real-Time Access11:55 – Why Property Management Firms Aren't Enough14:17 – Driving NOI with AI and Smart Tech16:40 – How AI Supports (Not Replaces) Real Estate Teams18:20 – Health, Fitness & Resilient Leadership in Business20:00 – Final Advice for CRE EntrepreneursTo 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/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 the podcast on Spotify: https://open.spotify.com/show/3NkM6US7cjsiAYTBjWGdx6?si=1da9d0a17be14d18Subscribe 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

Jager McConnell is the CEO of Crunchbase, a leading business intelligence platform for startup and investment data, serving over 80 million users.In this episode of World of DaaS, Jager and Auren discuss:The polarized venture funding landscapeWhy 'religion' beats 'truth' in data companiesFinding defensible moats in the AI eraPredicting acquisition targets at scaleLooking for more tech, data and venture capital intel? Head to worldofdaas.com for our podcast, newsletter and events, and follow us on X @worldofdaas.  You can find Auren Hoffman on X at @auren and Jager McConnell on X at @jagermcconnell. Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

In this episode of The Ross Simmonds Show, Ross cuts through the overwhelming noise around AI in marketing to reveal what's real, what's useful, and what's pure hype. From AI-fueled content creation and personalization to ads, analytics, and the dangers of AI deepfakes, Ross shares his honest take on how marketers can harness AI effectively—without losing their creativity (or their jobs). Hint: AI isn't here to replace great marketers, but it will expose mediocre ones. Whether you're feeling FOMO about AI tools or tired from constant information overload, this episode offers grounded insights and an actionable roadmap for embracing AI in a sustainable and meaningful way. Key Takeaways and Insights: Understanding the Current AI Hype Cycle AI is at the peak of inflated expectations. Nearly every tool is rushing to add AI capabilities. $10B spent in AI implementation efforts by consulting firms. The opportunity is real—but so is the noise. Content Creation: The Draft, Not the Director Tools like ChatGPT, Jasper, Rytr, SEMrush, and HubSpot offer “okay” drafts. Great marketers use AI for first drafts, then add emotion, creativity, and data. AI helps compress content production time significantly. Key quote: “The AI tool is not your creative director.” Repurposing & Distribution at Scale One of the best use cases for AI in content marketing. Turn one podcast into dozens of social assets, short videos, quotes, etc. Old content can be brought back to life using AI. 24/7 brand promotion equals scale and efficiency. AI for Creating Visuals & Ads Tools now allow marketers to generate images and mock ads from product photos. Emerging use case: image creation with tools like ChatGPT's DALL·E. AI lowers cost and time for creative asset generation. AI-Powered Insights from Data AI can identify behavior trends, segment audiences, and support lead scoring. Automate personalized communications triggered by user behavior. In-depth AI-based customer feedback analysis is now possible. Reminder: "Good data = good AI." Personalization: Right Message, Right Time AI enables highly tailored emails, landing pages, and even video messages. Important: Avoid going too far or getting creepy with data usage. Balance personalization with ethics and relevance. The Fluff: SEO Snake Oil & “Turnkey” Strategies Beware of tools promising 10,000 blog posts and instant rankings. "Hallucination" risk with auto-generated content hurts SEO in the long run. One-click marketing strategy generators? Hard pass. Deepfakes & AI Influencers Increasing use of AI-generated personas to push products deceptively. Danger of consumers being misled by realistic but fake endorsements. The Future of Marketing & AI AI will not replace everyone—but will replace some. “It's a force multiplier for the great. A replacement for the mediocre.” Use AI to do more, faster—but don't skip thinking and strategy. To thrive, marketers must master the human elements: storytelling, empathy, strategy, and creativity. Resources & Tools:

✨ Heads up! This episode features a demonstration of the SnapLogic UI and its AI Agent Creator towards the end. For the full visual experience, check out the video version on the Spotify app! ✨(Episode Summary)Tired of tangled data spread across multiple clouds, on-premise systems, and the edge? In this episode, MongoDB's Shane McAllister sits down with Peter Ngai, Principal Architect at SnapLogic, to explore the future of data integration and management in today's complex tech landscape.Dive into the challenges and solutions surrounding modern data architecture, including:Navigating the complexities of multi-cloud and hybrid cloud environments.The secrets to building flexible, resilient data ecosystems that avoid vendor lock-in.Strategies for seamless data integration and connecting disparate applications using low-code/no-code platforms like SnapLogic.Meeting critical data compliance, security, and sovereignty demands (think GDPR, HIPAA, etc.).How AI is revolutionizing data automation and providing faster access to insights (featuring SnapLogic's Agent Creator).The powerful synergy between SnapLogic and MongoDB, leveraging MongoDB both internally and for customer integrations.Real-world applications, from IoT data processing to simplifying enterprise workflows.Whether you're an IT leader, data engineer, business analyst, or simply curious about cloud strategy, iPaaS solutions, AI in business, or simplifying your data stack, Peter offers invaluable insights into making data connectivity a driver, not a barrier, for innovation.-Keywords: Data Integration, Multi-Cloud, Hybrid Cloud, Edge Computing, SnapLogic, MongoDB, AI, Artificial Intelligence, Data Automation, iPaaS, Low-Code, No-Code, Data Architecture, Data Management, Cloud Data, Enterprise Data, API Integration, Data Compliance, Data Sovereignty, Data Security, Business Automation, ETL, ELT, Tech Stack Simplification, Peter Ngai, Shane McAllister.