Podcasts about Data

Today's show:The race for more compute gets all the headlines, but Mistral AI CEO Arthur Mensch tells us the REAL danger is running out of data!On TWiST, Jason and Alex are chatting with the head of France's largest foundation AI company, Mistral AI, about how enterprises can get more out of their AI pilots, whether the West is lacking leadership on open-source, why Mistral AI isn't pursuing every possible kind of AI application, and optimizing your models for performance rather than benchmarks (aka benchmaxxing). Find out what it's like to run a huge AI company in today's intense environment!PLUS… why everyone made the wrong call on OpenAI vs. Google… Kraken's fresh $20 billion valuation… Jason's urgent message to every company thinking about M&A… and much more!Timestamps:(3:35) Why did everyone get it wrong on Google vs. OpenAI?(10:51) Why Jason thinks drone delivery will make everyone safer(9:52) SQUARESPACE: Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(11:26) Mistral AI CEO Arthur Mensch joins us! What's it like to run a foundation model AI company in this intense environment?(14:50) Why enterprises aren't getting enough value out of AI and how Mistral AI aims to correct this(18:45) Why Mistral AI's goal is, ultimately, to disappear…(20:19) LinkedIn Ads: Start converting your B2B audience into high quality leads today. Launch your first campaign and get $250 FREE when you spend at least $250. Go to http://linkedin.com/thisweekinstartups to claim your credit.(22:49) Are Europe and the US lacking leadership on open source AI?(24:53) Mistral AI doesn't need to compete in every category... how big of an advantage is focus?(27:05) The “two bottlenecks” in Machine Learning: Compute and Data(29:01) How Mistral AI works with human experts to annotate their models, and where they source them from(30:06) Nexos.ai: Stop Shadow AI in its tracks with the unified platform for secure AI adoption and productivity. Try it with a free 14-day trial at https://nexos.ai/twist.(34:24) Is optimizing your model for benchmark tests (aka benchmaxxing) like cheating?(40:08) Will we ever be able to run smaller AI models on our phones?(44:21) When does Arthur think we'll have truly helpful humanoid robots in our lives?(49:42) Suno lawsuits and why Jason says you should NEVER break the rules, ESPECIALLY with the music industry(54:28) Release the Kraken! They're now worth $20 billion.(56:48) Jason is going to F1… should he take up the offer and do a dry run?(58:30) How Meta beat the FTC and why Jason is so excited about it(1:01:37) Who should buy Crunchbase?

In this episode of the Healthy, Wealthy, and Smart podcast, host Dr. Karen Litzy welcomes Dr. Pedro Teixeira, MD, PhD, co-founder and CEO of Prediction Health. They discuss the intersection of technology and healthcare, focusing on how tech can enhance clinical care and improve healthcare performance. Dr. Teixeira shares insights from his journey developing AI tools for clinical documentation and analytics, emphasizing the importance of mission-driven work, navigating ambiguity, and the parallels between tech founders and clinicians.   Takeaways   Dealing with ambiguity is crucial in both tech and healthcare. Tracking progress with meaningful metrics is essential. Feedback from real users leads to valuable insights. AI can significantly reduce clinicians' documentation time. Human elements are vital in tech and healthcare systems. Continuous improvement is key to success. Selling outcomes is more effective than selling products. Data interpretation requires context and thoughtful analysis. Trying and failing is better than not trying at all.   Chapters   ·     00:00:00 Introduction and Guest Introduction ·       00:00:00 Parallels Between Tech Founders and Clinicians ·       00:00:00 Mission-Driven Work and Dealing with Ambiguity ·       00:00:00 Importance of Metrics and Feedback ·       00:00:01 AI's Role in Reducing Documentation Time ·       00:00:01 Human Elements in Tech and Healthcare ·       00:00:01 Continuous Improvement and Selling Outcomes ·       00:00:02 Data Interpretation and Context ·       00:00:02 Advice on Trying and Failing   More About Dr. Teixeira: Pedro Teixeira, MD, PhD, is the Co-founder and CEO of PredictionHealth, a Prompt company that is addressing one of healthcare's fundamental challenges: clinical documentation. Under his leadership since 2017, PredictionHealth developed an AI platform that delivers analytics to power better organizational performance and a documentation assistant that turns patient-provider conversations into compliant documentation so clinicians can focus more on patient care. Dr. Teixeira's expertise in biomedical informatics was honed during his time as an MD/PhD candidate at Vanderbilt University Medical Center, where he collaborated with leaders in biomedical informatics. Before this, he earned a Master's degree in Biomedical Informatics from Vanderbilt University and a Bachelor's degree in Biochemical Sciences and Computer Science from Harvard University. Driven by a mission to make it easy for clinicians to deliver the best care to every patient every time, Dr. Teixeira's work continues to bridge the gap between data science and clinical excellence. Resources from this Episode: Dr. Teixeira on LinkedIn Prompt Health   Jane Sponsorship Information: Book a one-on-one demo here Mention the code LITZY1MO for a free month   Follow Dr. Karen Litzy on Social Media: Karen's Instagram Karen's LinkedIn   Subscribe to Healthy, Wealthy & Smart: YouTube Website Apple Podcast Spotify SoundCloud Stitcher iHeart Radio

Nvidia delivers a powerful third-quarter trifecta, with CEO Jensen Huang insisting there's no bubble. Plus, Nvidia's surge sparks a global relief rally, with futures jumping early. And later, two key reads on the consumer and the U.S. economy: the final jobs report before the Fed meeting, and Walmart's results before the open.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of Skin Anarchy, Dr. Ekta Yadav sits down with Estella Benz, founder and CEO of Inference Beauty, to explore how data intelligence, ingredient transparency, and AI personalization are reshaping the future of skincare. What began as Estella's frustration with confusing ingredient lists and overwhelming product choices evolved into a powerful technology platform designed to decode beauty — not through trends, but through truth.Estella shares how Inference Beauty translates complex INCI labels into language consumers can understand, offering not just definitions but context: why an ingredient is used, what it does, and how it behaves on real skin. In an era dominated by fear-based “clean beauty” rhetoric, her mission is to bring clarity back to the consumer. “People don't need scare tactics,” she says. “They need understanding.”Through structured data, AI, and environmental analytics, Inference Beauty creates intelligent, personalized product recommendations based on climate, sensitivities, ethical preferences, and biological needs — shifting beauty away from one-size-fits-all marketing into a world built “for each.”As e-commerce grows, Estella envisions dynamic digital experiences where product pages adapt to each user, bridging the long-standing gap between what brands believe they're communicating and what consumers actually understand. Yet even as she champions AI, she emphasizes the irreplaceable role of human expertise — especially for active, medical-grade, or prescriptive products.Tune in to hear how Estella Benz is building the next generation of beauty intelligence — where transparency, personalization, and smart data come together to redefine how we discover and trust skincare.Learn more about Inference Beauty on their website and social media!CHAPTERS:0:27 – Introduction & Guest Welcome1:27 – Estella's Background & Early Inspiration2:31 – The Birth of Inference Beauty4:06 – Market Misconceptions & The Female Consumer Gap5:45 – How Personalization Transforms Shopping6:56 – Ingredient Data, Ethics & Environmental Impact10:05 – Transparency, Clean Beauty & Consumer Education16:36 – The Role of AI in Personalized Beauty23:06 – The Future of Tech, Data & Human Touch in BeautyPlease fill out this survey to give us feedback on the show!Don't forget to subscribe to Skin Anarchy on Apple Podcasts, Spotify, or your preferred platform.Reach out to us through email with any questions.Sign up for our newsletter!Shop all our episodes and products mentioned through our ShopMy Shelf!*This is a paid collaboration Hosted on Acast. See acast.com/privacy for more information.

This week I sit down to chat with Michelle Mikel, and she breaks down a no-fluff approach to social that actually drives revenue. Instead of chasing algorithms or blasting cold pitches, she teaches a leverage-first outbound framework: one high-intent message a day that bridges warm relationships to new opportunities. We dig into her 90-day projection system (podcasts, webinars, stages), why most teams drown in “white noise,” and how to track the few activities that truly move the P&L. Michelle also shares the personal season that reshaped her planning, momentum, and discipline.What you'll learn:- Leverage - cold pitch: Use mutual relationships to remove resistance and get replies.- The 1-DM rule: Send one intentional outbound message per day; quality crushes volume.- Kill indifference: Silence isn't a “no”—it's a signal your message lacked emotion or relevance.- 3 growth drivers: Fill the buckets that create compounding inbound—speaking, podcasts, webinars.- 90-day projections: See opportunities before they show up on the P&L (and start months in the green).- Discipline as a verb: Momentum creates motivation—track it, don't trust vibes.- Back to basics: Conversations, not campaigns. Data, not guesses.If this episode helped, share it with a friend who's stuck “posting more” and getting less. And if you're feeling generous, rate & review the show—it helps a ton.

In this episode of Tech Trends by PrimeRx, we continue our deep dive into the evolving world of pharmacy technology. Building on the momentum from our previous discussion—where we explored the shifting landscape of pharmacy tech innovation—we now turn our focus to one of the most urgent challenges facing independent and community pharmacies: making sense of inventory and purchase data. Dr. Matthew Song joins us to break down why automation is no longer optional and how data intelligence is transforming pharmacy operations. With rising costs, shrinking margins, and increasing administrative demands, the ability to automate and optimize data workflows is becoming a competitive advantage. Dr. Song sets the stage by examining how automated systems offer unprecedented visibility into a pharmacy's financial and clinical activity. Today's modern PMS platforms, including PrimeRx, go far beyond dispensing—they automatically collect, analyze, and interpret operational data. Throughout the episode, we'll uncover how automation identifies top payers, high-impact drugs, key prescribers, patient adherence trends, and more. These insights help pharmacy leaders make informed decisions around purchasing, contracting, staffing, and patient care. Listeners will also gain actionable takeaways tied directly to real-time metrics, including dashboards that connect inventory fluctuations to financial performance. Dr. Song explains how automation eliminates manual entry errors, accelerates purchasing decisions, and helps pharmacies avoid costly stockouts or overstocking. From surfacing seasonal medication trends to pinpointing high-volume PBMs or top-referring providers, this episode demonstrates the power of transforming raw data into strategic intelligence. Stay tuned through the end as we tease what's next on the horizon—AI-driven predictive inventory management and the next evolution in pharmacy automation.

You don't realize how much you've been carrying until someone quietly names it: Why am I so tired? In this A Fresh Story: Book Talk episode, Olivia sits down with economist and author Dr. Corinne Low, whose book Having It All: What Data Tells Us About Women's Lives and Getting the Most Out of Yours reads like a mirror held up to modern womanhood. Between the groceries arriving mid-interview, the crying babies on the book cover, and the dinner on fire, Corinne's world looks a lot like ours: a life built on ambition, love, and care—held together by one woman's invisible labor.Having It All weaves together fifteen years of rigorous research with Corinne's own story of becoming the primary breadwinner, default parent, and eventually a divorced single mom who chose to start over. She shows, with hard data, how gender roles have converged at work but stubbornly refused to shift at home; how men are still doing roughly the same amount of housework as they did in the 1970s, while mothers spend twice as much time with their kids as previous generations. Inside the numbers is a deeply human story: the slow realization that the “deal” she was living in was unsustainable, the terror of considering divorce, and the shock of discovering that, afterward, her life actually got easier—less cooking and cleaning, more sleep, more room to breathe.In this conversation, Olivia and Dr. Low talk about treating the household like an enterprise, your joy like a “utility function,” and your life as a story in which you are allowed to be the protagonist. They explore the grief of letting go of a marriage, the healing that comes from finally centering your own needs, and the quiet regeneration that happens when you stop contorting yourself to keep everyone else comfortable. Having It All was written for the woman in a life transition—the burned-out married single mom, the newly divorced mother, the high-achieving professional who can't shake the exhaustion—who needs someone to say: it's not you, it's the system. You are allowed to renegotiate the terms of your life. You are allowed a fresh start.BUY THE BOOK HERE!

Market headlines love fear, but is that the full story? After decades of studying market trends, Chief Market Strategist Ryan Detrick knows that the best investment decisions start with data, not emotion or fear-based media. In this episode, he explains what most people get wrong about the market, why data is crucial to the bigger picture, and how investors can navigate information overload on social media. You'll also hear tips for making finance fun (and easier to understand), and building your own voice online! Topics discussed: Introduction (00:00) Ryan's background and career journey to Carson Group (02:16) Why he still has an optimistic, bullish market outlook (05:26) How he makes finance fun and easily digestible (09:34) Leveraging social media and the Facts vs. Feelings podcast (11:10) The importance of visual storytelling and historical data (13:48) How social media impacts investor behavior (16:14) Advantages of the RIA model (20:22) AI's impact on the job market and client privacy (23:44) Networking and branding advice for beginner finance pros (26:26) What brought you JOY today? (30:02) Resources: Sending your child to college will always be emotional but are you financially ready? Take the College Readiness Quiz for Parents: https://www.mitlinfinancial.com/college-readiness-quiz/ Doing your taxes might not be enJOYable but being more organized can make the process less painful. Get Your Gathering Your Tax Documents Checklist: https://www.mitlinfinancial.com/wp-content/uploads/2024/06/Mitlin_ChecklistForGatheringYourTaxDocuments_Form_062424_v2.pdf Will you be able to enJOY the Retirement you envision? Take the Retirement Ready Quiz: https://www.mitlinfinancial.com/retirement-planning-quiz/ Connect with Larry Sprung: LinkedIn: https://www.linkedin.com/in/lawrencesprung/ Instagram: https://www.instagram.com/larry_sprung/ Facebook: https://www.facebook.com/LawrenceDSprung/ X (Twitter): https://x.com/Lawrence_Sprung Connect with Ryan Detrick: X (Twitter): https://x.com/RyanDetrick/ LinkedIn: https://www.linkedin.com/in/ryandetrick/ Website: ​​https://www.carsongroup.com/insights/blog/team-members/ryan-detrick/ About Our Guest: As Chief Market Strategist at Carson Group, Ryan Detrick brings a wealth of expertise and a strong understanding of financial markets to guide the firm's strategic investment decisions. With a proven track record of insightful market analysis and a passion for helping both advisors and clients navigate the complexities of the financial landscape, Ryan plays a pivotal role in shaping the investment strategies that drive Carson Group's success. Ryan's career has been marked by a dedication to staying at the forefront of market trends and the role history plays in potential market moves. Prior to joining Carson Group, Ryan held key positions at several leading financial institutions, where he honed his skills in market analysis, risk management and portfolio optimization. His ability to distill complex market information into actionable insights has earned him recognition as a thought leader in the financial industry, including being named one of Business Insider's 2023 Oracles of Wall Street. A sought-after commentator, Ryan frequently shares his market perspectives through media appearances on CNBC, Fox Business, Yahoo! Finance, Bloomberg and SiriusXM, speaking engagements and written commentary. Leveraging his extensive knowledge of market trends, economic indicators, and investment opportunities, Ryan provides valuable insights that empower clients to make informed decisions in an ever-evolving financial environment. Ryan also co-hosts a top-investing podcast, "Facts vs Feelings" alongside Carson Group colleague Sonu Varghese, VP, Global Macro Strategist. Each week they engage in insightful conversations exploring the intersection of data-driven market analysis and the human element in investment decision-making. Through "Facts vs Feelings," Ryan reaffirms his dedication to making finance more understandable. Originally from Springfield, Ohio, Ryan's financial career began over 20 years ago, with more than a decade spent at Schaeffer's Investment Research and six years at LPL Financial. He has a Chartered Market Technician (CMT) designation, a bachelor's degree in finance from Xavier University, and an MBA from Miami University. Outside Carson, Ryan is a dedicated family man and sports enthusiast. A lifelong Cincinnati Bengals fan, he lives in Cincinnati, Ohio with his family, where he can often be found coaching his two boys in various sports. In his free time, Ryan enjoys traveling to new places and exploring local cuisine. Disclosure: Guests on the Mitlin Money Mindset are not affiliated with CWM, LLC, and opinions expressed herein may not be representative of CWM, LLC. CWM, LLC is not responsible for the guest's content linked on this site. This episode was produced by Podcast Boutique https://www.podcastboutique.com

In this solo episode of REAL Personal Branding, Lauren shares data-backed insights to help entrepreneurs and speakers book more speaking engagements and attract more clients. She breaks down statistics about consistent branding, emotional marketing, and brand loyalty and shows you how to apply them to your personal brand strategy. You'll learn how maintaining consistent brand elements across your website, social media, and speaking materials can increase revenue by over 20%. Lauren also uncovers why emotional connection builds deeper audience trust than discounts or promotions, and how authentic storytelling can grow your long-term visibility and impact. Through practical steps, Lauren helps you audit your brand presence, create content that resonates emotionally, and design systems that strengthen loyalty with your audience. If you're ready to build a recognizable, trusted brand that opens doors to new opportunities, this episode will help you turn data into meaningful growth. Connect with Lauren V. Davis here: https://linktr.ee/ldaviscreative

Step inside a conversation on the art and architecture of AI transformation. Vedran Karamani, Group Data Analytics & Agentic AI – CDAIO at Alghanim Industries, shares how he's embedding intelligence across one of the Middle East's largest conglomerates. He breaks down what it takes to make AI approachable in the boardroom, why data literacy is now a business imperative, and how to balance innovation with operational reality. Discover how Vedran is redefining the role of data, technology, and human insight in shaping the next generation of enterprise transformation.Key Moments:From Deterministic to Probabilistic Thinking (10:19): Vedran explains how today's AI shifts decision-making from predictable, rules-based systems to adaptive, probabilistic ones. He shares how leaders must learn to balance control with flexibility to build trust in AI's potential while managing its unpredictability.AI Literacy in the Boardroom (12:55): Vedran emphasizes that real transformation begins with leadership understanding. He shares how he uses storytelling and analogies to educate executives on AI fundamentals, turning abstract concepts like “deterministic vs. probabilistic” into relatable, actionable insights.The Readiness Factor (17:29): Not every business is equally prepared for AI. Vedran breaks down the difference between change management and change readiness, urging leaders to assess cultural alignment, technical infrastructure, and data maturity before diving into transformation.Data as the Differentiator (25:15): Vedran argues that as algorithms become commoditized, competitive advantage will come from the quality and context of a company's data. He outlines how clean, well-modeled, and contextualized data will form the backbone of any successful AI strategy.The Middle East's AI Momentum (32:05): Vedran highlights how ambition, experimentation, and government investment are fueling rapid AI growth across the Middle East. He contrasts this energy with slower-moving Western markets, suggesting the region's “learn fast” mindset could shape the future of global innovation.Key Quotes:"Today, no business has an excuse not to be data-driven.” - Vedran Karamani“ With today's AI, we are almost unleashing this immense power that's very probabilistic… We need to learn how to coexist with that and how to leverage it for the greatest benefit of our businesses.” - Vedran Karamani“ If you want to stand the chance to have AI help you transform your business, you better get your data to a certain standard for that to be even possible.” - Vedran KaramaniMentionsDemis Hassabis, CEO of DeepMind TechnologiesGuest Bio With over two decades at the forefront of Data Analytics and AI leadership, Vedran Karamani charted a path of innovation across global landscapes, from the dynamic markets of the Middle East to the dynamic tech hubs of North America. Guiding multi-million-dollar portfolios, Vedran pioneered disruptive solutions, propelling sectors like Aviation, Retail, Telecom, Defense, Oil & Gas, Digital, Logistics, and Education into the future.Renowned for his collaborative leadership approach, Vedran empowered diverse teams to navigate challenges with agility, fostering an environment of continuous growth and individual excellence. From concept to execution, he's led the charge in delivering game-changing strategies, business cases, and prototypes, ensuring organizations stay ahead in today's rapidly evolving landscape. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

During this episode, Santosh is joined by Wayne Usie, EVP of Market Development at Blue Yonder. Wayene shares his journey into supply chain software and discusses how Blue Yonder leverages AI, automation, and data to power next-generation supply chains. The conversation also covers the importance of domain-specific solutions, the development of AI-powered agents for warehouse and logistics management, the evolving workforce, and innovations in returns management. Key takeaways include the growing impact of AI on operational efficiency, the vital role of trust and transparency, the industry's shift toward more autonomous, data-driven supply chains, and so much more. Highlights from their conversation include:Introduction and Wayne Usie's Journey to Supply Chain (0:11)Blue Yonder's Evolution and Embracing AI in Supply Chain (3:00)Interoperability, Data, and the Power of Agents (6:27)Building Trust and the Scale of AI Predictions (9:27)The Importance of Domain-Specific Solutions (13:27)Business Outcomes and AI Value in Retail (16:27)Workforce Transformation and Human-AI Collaboration (18:56)Returns Management and Holistic Inventory Strategies (21:48)Future Predictions: The Autonomous Supply Chain (24:58)Rapid-Fire "This or That" Closing Segment (27:27)Dynamo is a VC firm led by supply chain and mobility specialists that focus on seed-stage, enterprise startups.Find out more at: https://www.dynamo.vc/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The digital age has created a plethora of data resources for artists and their teams, but it has also highlighted the glaring disadvantages of unorganized, siloed workflows within our industry. As an event management, project management and business intelligence platform, Artist Growth is a testament to how more centralized information creates a better picture of exactly what is and isn't working for an artist in real time. Hear from Artist Growth co-founder & CEO, Matt Urmy as he walks through the platform's history, examines parallels between data sharing practices during the emergence of both streaming and AI, and details two current marketplace pressures that are helping to break data siloes.

Today's guest is Michael Finley, Chief Technology Officer at AnswerRocket. Founded in 2013, AnswerRocket builds enterprise AI agents delivering measurable outcomes for Fortune 2000 clients across consumer goods, financial services, construction, real estate, and beyond. Finley joins Emerj Editorial Director Matthew DeMello to discuss how enterprises can move beyond AI experimentation toward scalable, agent-driven systems that deliver measurable business value. Finley also explores what makes AI agents truly enterprise-ready — from data governance and tool integration to deployment and iteration. This episode is sponsored by AnswerRocket. 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!

How do construction leaders make better decisions in a world overflowing with data? Recorded live at Autodesk University 2025, this conversation with Frank Phillips and Ashley Grassano from the University of Florida explores how curiosity, culture, and clear communication help teams turn raw information into meaningful action. Frank and Ashley share how the AEC industry can shift from reactive to proactive by embracing data literacy, asking better questions, and building trust between the field and the office. From forecasting risks to creating visibility across teams, this episode highlights how decision-making improves when people, process, and technology finally align. In this episode you'll learn: Why curiosity (not dashboards) is the real driver of innovation How data transparency builds trust across construction teams Practical steps for improving decision-making in fast-paced environments MEET OUR GUESTS Frank Phillips is Director of Business Affairs Technical Services at University of Florida, where he has over two decades of career experience. Ashely Grassano is Space & GIS Manager at the University of Florida. She manages a team of BIM Coordinators, Space Planners, and GIS Administrators.    TODD TAKES Make Old Buildings Smarter, Not “Smart” A campus-wide push toward digital twins is turning legacy facilities into data-ready assets. The playbook: uplift Revit to a consistent minimum spec, link key MEP assets for location and maintenance, stream live data into Tandem, and anchor everything with GIS. It's practical, phased modernization—form meets function. Data Is an Asset—Treat It Like One Ownership and flow matter. From ACC adoption to Cost rollout, success comes from redefining processes (not lift-and-shift), onboarding project-by-project, and measuring wins by outcomes (like contractors getting paid). The ethos: the owner funds the work, the owner owns the data—and partners help operationalize it. Scan, Map, Connect—and Then Automate LiDAR for utilities and interiors, geospatially aligned campus models, ACC + Tandem integration, and emerging AI/API upgrades (including easier auth) are building a true “smart campus” foundation. Pair top-down sponsorship with bottom-up field buy-in, and you get faster finds at 2 a.m., fewer “unknowns,” and clearer ROI.   MORE RESOURCES Thanks for listening! Please be sure to leave a rating and/or review and follow up our social accounts. Bridging the Gap Website Bridging the Gap LinkedIn Bridging the Gap Instagram Bridging the Gap YouTube Todd's LinkedIn   Thank you to our sponsors! Graitec North America Graitec North America LinkedIn Autodesk's Website   Other Relevant Links: Frank's LinkedIn Ashley's LinkedIn University of Florida

Neil Payne, freelance data journalist, analyst, joins Cade Massey, Eric Bradlow, Shane Jensen, and Adi Wyner to discuss current debates in baseball WAR, surprising developments in the NBA, the evolution of quantitative storytelling, and how emerging stars like Connor Bedard and innovative teams such as the Los Angeles Rams illustrate shifting dynamics across major sports. Hosted on Acast. See acast.com/privacy for more information.

In this episode of the HR Leaders Podcast, we sit down with Michiel van Duin, Chief People Technology, Data and Insights Officer at Novartis to discuss how the company is building a human-centered AI ecosystem that connects people, data, and technology.Michiel explains how Novartis brings together HR, IT, and corporate strategy to align AI innovation with the company's long-term workforce and business goals. He shares how the team built an AI governance framework and a dedicated AI and innovation function inside HR, ensuring responsible use of AI while maintaining trust and transparency.From defining when AI should step in and when a “human-in-the-loop” is essential, to upskilling employees and creating the first “Ask Novartis” AI assistant, Michiel shows how Novartis is making AI practical, ethical, and human.

In this episode, Frank La Vigne sits down with Itay Haber, CEO of Data Noetic, to unpack how AI is revolutionizing supply chain management. Forget spreadsheets and dashboards—Data Noetic is building an autonomous digital brain that proactively tackles delivery bottlenecks and bridges the gap between scattered data and process improvement.You'll hear real-world tales of missed bathroom tile deliveries, multi-million dollar construction delays, and the true impact of getting ahead of supply chain hiccups before they snowball. The trio explores how agentic AI isn't just hype: it's driving tangible results, saving time, boosting KPIs, and reimagining how companies of all sizes make decisions. From pharmaceuticals to consumer packaged goods, discover why trust, transparency, and agility are the new gold standards in supply chain operations—and how data-driven agents just might become indispensable.Tune in for a masterclass that balances digital wisdom with a dash of dry wit, and learn how emerging tech is helping organizations deliver on time, in full, and with a whole lot less existential angst.Time stamps00:00 "Autonomous Supply Chain Optimization"06:01 "Optimizing On-Time Delivery Failures"07:27 Proactive Warehouse Order Management13:06 "Aligning Perception with Reality"15:08 "Streamlining Order Fulfillment Process"18:18 "AI Revolutionizing Problem Coordination"22:18 "Data Validation and AI Insights"25:04 Predictive KPI Monitoring with Gen AI27:09 Clarifying Questions for Assistance31:37 "Tailored Software Delivery Models"34:35 "AI's Role in Complex Industries"37:00 "AI Focus and Value Debate"42:37 "AI Bubble and Valuations"46:43 AI's Transformative Impact on Jobs48:17 AI Enhances Jobs, Not Replaces51:44 "AI: Boom, Bust, Transformation"57:38 "AI, Data, and Change"

This episode of A Productive Conversation features Chris Dalla Riva, a musician, data analyst, and Senior Product Manager at Audiomack who bridges the gap between creativity and analytics. Chris joins me to discuss his book Uncharted Territory: What Numbers Tell Us About the Biggest Hit Songs and Ourselves.As part of his research, Chris listened to every Billboard Hot 100 number-one song—nearly 1,200 of them—tracking trends, rating songs, and discovering how randomness, technology, and taste shape what becomes a hit. We explore the intersection of numbers and nuance, how data can deepen our understanding of art, and what the patterns of pop music reveal about us.Six Discussion PointsThe origin of Chris's experiment to listen to every Billboard number-one hitWhy Bob Dylan never topped the Hot 100—and what that says about luck and timingHow data, subjectivity, and quality intertwine when rating songsThe cyclical nature of musical trends, from movies to TikTokThe uneasy relationship between music and technology—from Auto-Tune to AIWhy the album format—and vinyl—still matter in a streaming worldThree Connection PointsCheck out Chris's newsletterBuy Chris's bookRead Mike's essay, The Sound of TimeChris and I cover a lot of ground in this conversation—from Bob Dylan's surprising chart record to the influence of AI on modern music. If you've ever wondered what hit songs say about culture, creativity, and ourselves, this episode hits all the right notes.

Buyer traffic is surging again in the Upstate, with crowded open houses, renewed demand for larger lots, and activity levels that look more like early spring than late fall. But the market data is telling a slower, more cautious story. Inventory continues to climb, months of supply are rising, and affordability remains stuck just shy of the ideal threshold—even as mortgage rates ease and buyer behavior shifts. The growing disconnect between real-time market energy and the broader statistical trendlines. From year-over-year listing spikes to unusual seasonal patterns, it breaks down the numbers shaping the current landscape and the signals worth watching as the year winds down. As always, if you have any questions or comments (or, of course, need a realtor), feel free to reach out to Stan McCune directly by phone/text at (973) 479-1267 or by email at smccune@cdanjoyner.com

In October 2025, the Ministry of Law and Justice inaugurated the “Live Cases” dashboard under the Legal Information Management and Briefing System (LIMBS) to effectively manage and reduce government litigation. Earlier this year, the Ministry also notified the “Directive for the Efficient and Effective Management of Litigation by Government of India” to curb contractual disputes involving the State. Pavithra Manivannan, researcher at XKDR Forum & The Professeer, explains what needs to be done to reduce government litigation.----more----Read full article here: https://theprint.in/opinion/counting-on-law/we-blame-the-government-for-being-too-litigious-data-tells-a-very-different-story/2785829/

Nvidia results loom after the longest S&P 500 losing streak since August. Crypto rebounded late Tuesday but mega caps sank. Lowes, Target, and Fed minutes also are on tap today.Important DisclosuresThis material is intended for general informational purposes only. This should not be considered an individualized recommendation or personalized investment advice. The investment strategies mentioned may not be suitable for everyone. Each investor needs to review an investment strategy for his or her own particular situation before making any investment decisions.The Schwab Center for Financial Research is a division of Charles Schwab & Co., Inc.All names and market data shown above are for illustrative purposes only and are not a recommendation, offer to sell, or a solicitation of an offer to buy any security. Supporting documentation for any claims or statistical information is available upon request.Past performance is no guarantee of future results.Diversification and rebalancing strategies do not ensure a profit and do not protect against losses in declining markets.Indexes are unmanaged, do not incur management fees, costs, and expenses and cannot be invested in directly. For more information on indexes, please see schwab.com/indexdefinitions.The policy analysis provided by the Charles Schwab & Co., Inc., does not constitute and should not be interpreted as an endorsement of any political party.Fixed income securities are subject to increased loss of principal during periods of rising interest rates. Fixed income investments are subject to various other risks including changes in credit quality, market valuations, liquidity, prepayments, early redemption, corporate events, tax ramifications, and other factors.All expressions of opinion are subject to change without notice in reaction to shifting market, economic or political conditions. Data contained herein from third party providers is obtained from what are considered reliable sources. However, its accuracy, completeness or reliability cannot be guaranteed.Investing involves risk, including loss of principal, and for some products and strategies, loss of more than your initial investment.The Schwab Center for Financial Research is a division of Charles Schwab & Co., Inc.Apple Podcasts and the Apple logo are trademarks of Apple Inc., registered in the U.S. and other countries.Google Podcasts and the Google Podcasts logo are trademarks of Google LLC.Spotify and the Spotify logo are registered trademarks of Spotify AB.(0130-1125) Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today in the business of podcasting: Eventbrite announces new integration with Listener.com, Apple Podcasts reveals the Top Podcasts lists of 2025, Oxford Road releases the November ORBIT report, and iHeartRadio rolls out short-form video clips in their app. . Find links to every article covered by heading to the Download section of SoundsProfitable.com, or by clicking here to go directly to today's installment.

In this episode, we dive deep into how comprehensive datacollection is revolutionizing our approach to dementia as a critical public health issue. Our guests, Dr. Melinda Power and Dr. David Rein, help us explore the groundbreaking Dementia Data Hub and its transformative impact on public health understanding. They walk us through this innovative free website that democratizes access to vital dementia information through interactive maps that visualize dementia prevalence across different regions, dynamic dashboardsdisplaying real-time statistics and trends, and research reports offering high-level findings and actionable insights.Discover how knowledge of diagnosed dementia cases inspecific areas is creating unprecedented opportunities for strategic resource allocation, targeted direct funding, and identifying crucial research opportunities.

Send us a textIn this episode of The AI Advantage, Matt Brown sits down with Michele (Majka) Salerno, Chief Growth Officer at Celerant Technology, to explore how AI is transforming real-world retail.Michele breaks down how Celerant is helping independent and mid-market retailers compete with big-box giants through practical AI tools that actually save time and drive sales. From an AI-powered “Talk to SQL” agent that lets retailers query their data in seconds, to predictive product recommendations, SEO-trained content suites, and automated review responses, Celerant is redefining what efficiency and personalization look like on the sales floor and online.They also discuss how Google's new AI-driven search is reshaping discoverability, why “context is the new content,” and what the rise of AI means for the future of retail jobs and marketing.Support the show

We've always believed that data drives better health, but even we were surprised by how powerful hormone data can be. Hormones influence everything from how we age to how our skin repairs itself, yet most people only test them once a year, if at all.In this episode, we sit down with Fady and Marina from Eli Health to explore how real-time hormone testing is changing the way we understand health optimization. Their saliva-based technology tracks cortisol and progesterone with over 90 percent lab-comparable accuracy, while their AI-powered app translates results into actionable lifestyle insights.We also unpack how cortisol rhythm shapes energy, mood, and skin health, why “cortisol face” is real, and how frequent hormone tracking can help prevent stress-related aging before it appears on the skin. Fady and Marina, founders of Eli Health, are redefining hormone care with a science-driven, ethically designed platform that keeps data and decisions in your hands.We Also Discuss:(01:07) How At-Home Hormone Testing Works(02:28) The Accuracy of Real-Time Cortisol and Progesterone Testing(04:20) Understanding Your Diurnal Cortisol Curve(07:13) AI-Powered Lifestyle Recommendations for Stress and Sleep(10:52) Using Hormone Insights to Personalize Your Routine(14:52) Cortisol, Skin Health, and “Cortisol Face”(19:22) The Rise of Frequent Hormone Tracking (“Fitbit for Hormones”)(24:11) Testosterone and Estradiol: The Next Frontier(37:38) Timing Skincare Treatments to Your Hormone Cycle(41:33) Ethics, Privacy, and Data Ownership in Health Tech(47:52) The Future of Hormone Tracking and LongevityFind more from Young Goose:Blue Peptide Spray: Cellular hydration meets antioxidant power → Blue Peptide SprayUse code PODCAST10 to get 10% off your first purchase, and if you're a returning customer use the code PODCAST5 to get 5% off at https://www.younggoose.com/ Instagram: @young_goose_skincareFind more from Eli HealthWebsite: eli.health Instagram: @myelihealth LinkedIn: Eli Health

#SalesforcePartner Rohit Khanna on AI Agents in Customer Service: How Smarsh Achieved 56% Deflection with Agentforce 360 Platform. Rohit Khanna, Chief Customer Officer at Smarsh, reveals how AI agents are revolutionizing customer service automation in financial services compliance. In this episode, learn how Smarsh implemented Salesforce Agentforce to achieve 56% deflection rates, 20% productivity gains, and transformed their customer support operations without hiring additional level-one support representatives.Discover the complete strategy behind deploying AI agents in regulated industries, from building proprietary compliance models to implementing data governance layers that ensure accuracy and regulatory compliance. Rohit shares insider insights on personalizing AI agents (meet "Archie"), managing the transition from chatbots to intelligent agents, and preparing teams for the future of agentic workflows in customer service.Key Topics Covered:- AI Agent Implementation - How Smarsh deployed Agentforce for customer service automation- Real Results - 56% deflection rate, 20% efficiency gains, 25% faster resolutions- Financial Services Compliance - Building AI models for market manipulation, fraud detection, and surveillance- Data Governance - Critical frameworks for deploying AI agents in regulated industries- Personalization Strategy - Why naming the agent "Archie" dramatically increased adoption- Future of Work - From human-in-the-loop to agent-in-the-loop workflows- GenAI vs Purpose-Built Models - When to use general purpose vs specialized compliance AI models- Customer Experience - Balancing automation with trust in financial servicesEpisode Timestamps:00:00 - Introduction to Rohit Khanna and Smarsh02:44 - What is Smarsh? Compliance technology explained04:13 - Building AI from the inside out: Proprietary vs partnered models07:33 - Agentforce implementation journey and challenges12:26 - Results: 56% deflection rate and productivity gains15:25 - The power of personalization: Why "Archie" matters18:21 - Trust and data governance in regulated industries22:11 - Data governance layers and policy management25:49 - Human-in-the-loop vs agent-in-the-loop29:10 - Upskilling teams for the AI-powered future32:11 - Intelligent agents for financial crime detectionAbout Rohit Khanna:Rohit Khanna is the Chief Customer Officer at Smarsh, overseeing global customer support, consulting, migrations, managed services, and Smarsh University. With nearly six years at Smarsh, Rohit has led the company's transformation into AI-powered compliance solutions, managing teams across the Philippines, India, Belfast, Costa Rica, UK, and US.About Smarsh:Smarsh is the leading compliance technology provider for regulated industries, specializing in electronic communications archiving, surveillance, and AI-powered financial crime detection. For 20 years, Smarsh has been the trusted custodian of communications data for major financial institutions worldwide, using proprietary AI models and GenAI agents to detect misconduct, reduce false positives, and ensure regulatory compliance.Resources Mentioned:- Salesforce Agentforce- Salesforce Agentforce for Service- Digital Reasoning (acquired by Smarsh)---Book Enterprise Training — [https://www.upscaile.com/](https://www.upscaile.com/)Subscribe to our free newsletter — [https://www.theaireport.ai/subscribe-theaireport-youtube](https://www.theaireport.ai/subscribe-theaireport-youtube)---What's your experience with AI agents in customer service? #AIAgents #CustomerService #Agentforce #Salesforce #ComplianceTechnology #FinancialServices #GenAI #CustomerExperience #AIAutomation #AgenticWorkflows #DataGovernance #FinancialCompliance #CustomerSupport #AIinBusiness #Smarsh

In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Catherine Johnson, VP of Global Solutions Engineering at Hydrolix, about her career journey through data management, scalability, and innovation. With a background spanning leadership roles at Hydrolix, Grafana Labs, and Oracle, Catherine shares insights into balancing engineering, entrepreneurship, and mentorship. She discusses the evolution of real-time data systems, the economics of storage, and the importance of data-driven decision-making. Catherine also opens up about taking a break from tech to teach dance, and how her passion for innovation and continuous learning fuels her leadership today.00:00 Introduction03:03 Data Management and Scalability05:58 Explosion of Data and Storage Needs09:01 Real-Time Data in Business14:49 Economics of Data Storage20:41 Education and Early Career31:09 Career Transitions and Growth46:10 Teaching Dance and Finding Balance53:16 Returning to Tech at Oracle01:08:10 Joining Elastic and Facing Burnout01:15:45 Leadership and Innovation at Hydrolix01:27:07 AI in Tech and Its LimitationsConnect with Catherine: LinkedIn: https://www.linkedin.com/in/catjopdx/Mentioned in this Episode:Hydrolix: https://hydrolix.io/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

Episode 39 - Mary Beth Feuling - From Data to Impact: Advancing Pediatric Nutrition in Hospital SystemsIn this episode of Nutrition Pearls: the Podcast, co-hosts Nikki Misner and Bailey Koch speak with Mary Beth Feuling on how pediatric dietitians can use data, EMRs, and innovative tools to improve patient care and malnutrition identification at a systems level. Mary Beth is a pediatric nutrition specialist with expertise in nutrition informatics, quality, and research, dedicated to advancing care for children across all ages. Over the past thirteen years as an advanced practice dietitian, she has led quality improvement and research initiatives at Children's Wisconsin, mentoring dietitians to develop their research skills and improving pediatric nutrition care locally, nationally, and internationally.Nutrition Pearls is supported by an educational grant from Mead Johnson Nutrition.Resources:Feuling MB, Hilbrands J, Hettich K, et al. Registered Dietitian Nutritionist consultation is associated with improvement in nutritional status in chronically ill children: a retrospective cohort study. J Acad Nutr Diet. 2025;(Epub ahead of print). doi:10.1016/j.jand.2025.05.011.Hilbrands J, Feuling MB, Szabo A, et al. Nutrition screening in the pediatric intensive care unit: evaluation of an electronic medical record–based tool. Nutrients. 2023;15(21):4591. doi:10.3390/nu15214591.Umentum B, Kim HJ, Adkins A, et al. Are dietitian recommendations followed? A descriptive study of pediatric hospitalized and ambulatory patients. J Hum Nutr Diet. 2024;(Epub ahead of print). doi:10.1111/jhn.13291.Crouse J, Feuling MB, Winter T, Goday PS, Smith A. Electronic health record time-tracking provides real-time data to measure and benchmark dietitian productivity. J Hum Nutr Diet. 2024;37(1):105-110. doi:10.1111/jhn.13236.Hilbrands J, Feuling MB, Szabo A, et al. Evaluation of an electronic medical record–based pediatric nutrition screening tool. J Hum Nutr Diet. 2023;36(5):1912-1921. doi:10.1111/jhn.13177.Sparapani RA, Teng BQ, Hilbrands J, Pipkorn R, Beth FM, Goday PS. Novel pediatric height outlier detection methodology for electronic health records via machine learning with monotonic Bayesian additive regression trees. J Pediatr Gastroenterol Nutr. 2022;75(2):210-214.Rusnak S, Charney P. Position of the Academy of Nutrition and Dietetics: Nutrition informatics. J Acad Nutr Diet. 2019;119(8):1375-1382. doi:10.1016/j.jand.2019.06.004.Academy of Nutrition and Dietetics Quality Management Academy of Nutrition and Dietetics Malnutrition Care Score Nutrition Care Process Interoperability and Health Information StandardsChildren's Hospitals Solutions for Patient SafetySix Domains of Health Care Quality Produced by: Corey IrwinNASPGHAN - Council for Pediatric Nutrition Professionalscpnp@naspghan.org

OVERVIEWNathan Cusack is an emerging talent in road racing, having won his first European race in 2025, racing for Team USA at Tour de l'Avenir, and ending the season by signing on with EF Education-Aevolo. Nathan has been a CTS Athlete coached by Adam Pulford for four years, and as he makes his transition to the U23 Elite ranks and a top international development team, it's time to take a look at what it takes to go from Junior to Pro in cycling. In Episode 281, Coach Adam Pulford and Nathan reveal the power numbers required to reach the podium in international U23 races, the progression of annual training hours required to go pro, and how the young rider learned the race craft necessary to win against the best in the world.Topics Covered In This Episode:Nathan's start in road racingProgression of annual training hours from Junior to ProPower outputs indicative of an emerging talent in road cyclingWhat wins races: race craft vs. power output?How to learn race craft in the United StatesJoining EF Education-AevoloResourcesNathan Cusack on IG: https://www.instagram.com/nathancusack_/EF Education/Aevolo Announcement: https://www.efeducationaevolo.com/racing/new-rider-alert-nathan-cusack-steps-up-with-ef-education-aevolo/Guest Bio:Raised in the Washington D.C. area and progressing from cyclocross to road cycling as a teenager, Nathan Cusack rode for DC Velo as a junior and Kelly Benefits Cycling Team as a U23. The 20-year-old had a breakthrough season in 2025, securing his first European road racing victory in Spain, making his debut in the prestigious U23 race, Tour de l'Avenir, and ending the year with a well-deserved 2026 contract with EF Education-Aevolo.Currently in his third year of studying at the University of Vermont, where he is pursuing a four-year degree in data science, he joins the EF Education-Aevolo team as a rider of genuine potential and a swift finisher.HOSTAdam Pulford has been a CTS Coach for nearly two decades and holds a B.S. in Exercise Physiology. He's participated in and coached hundreds of athletes for endurance events all around the world.Listen to the episode on Apple Podcasts, Spotify, Stitcher, Google Podcasts, or on your favorite podcast platformGET FREE TRAINING CONTENTJoin our weekly newsletterCONNECT WITH CTSWebsite: trainright.comInstagram: @cts_trainrightTwitter: @trainrightFacebook: @CTSAthlete

Today in the business of podcasting: Eventbrite announces new integration with Listener.com, Apple Podcasts reveals the Top Podcasts lists of 2025, Oxford Road releases the November ORBIT report, and iHeartRadio rolls out short-form video clips in their app. . Find links to every article covered by heading to the Download section of SoundsProfitable.com, or by clicking here to go directly to today's installment.

Welcome back to the Alt Goes Mainstream podcast.Today's interview is with a wealth management entrepreneur who created one of the most consequential wealth management technology companies that has helped to shape the industry into what it is today.Bill Crager is the Co-Founder of Envestnet, which he and his co-founder, the late Jud Bergman, grew into a public company. Bill was the CEO of Envestnet during the company's time as both a public company and following Bain Capital's acquisition to take the company private for $4.5B.Bill is now back at it again, joining iAltA Holdings as a Founding Partner to build a suite of businesses at the intersection of private markets and private wealth management infrastructure alongside former Ipreo CEO Scott Ganeles, former Ipreo Executive Bill Sherman, and former Blackstone CFO and WestCap Founder Laurence Tosi.Bill and I had a fascinating conversation about wealth management and private markets. We covered:The evolution of wealthtech.What advisors are looking for when it comes to technology.How technology can help advisors deliver a high-quality experience to clients.Why private markets are now playing such a big role in the business of wealth management.What is missing in private markets infrastructure.The role of AI in financial planning.Why Bill wanted to go back to building again.What is in store for iAltA.Thanks Bill for sharing your wisdom and expertise on private wealth and private markets.Show Notes00:00 Introduction to Early Technology00:12 Sponsorship Message from Ultimus02:09 Welcome to the Alt Goes Mainstream Podcast02:12 Introduction to Bill Crager04:19 Building Envestnet and Early Challenges05:06 Evolution of Wealth Management07:00 Adoption of Technology in Wealth Management08:39 Private Equity's Role in Wealth Management10:17 Horizontal vs. Vertical Solutions14:11 Challenges in Wealth Management Technology16:22 Data and Technology in Wealth Management22:41 Customization and Future of UMA24:30 Impact of Data on Private Markets26:30 Evergreen Funds and UMAs27:45 Fusion of Public and Private Markets28:07 Data Inputs for Financial Advice28:33 Building Financial Plans at Scale28:59 The Need for Holistic Financial Connectivity29:35 Challenges in Data Flow and Infrastructure30:29 The Role of AI in Financial Planning30:49 Balancing Machine Learning with Human Assurance31:35 AI's Impact on Financial Advice32:40 Future of Financial Planning with AI35:06 Trust in Technology vs. Human Advisors35:19 The Emotional Component of Financial Advice36:31 The Evolution of Wealth Management37:02 Tokenization in Wealth Management37:46 Adoption Challenges of Tokenization38:56 Leveraging Technology in Wealth Management39:27 The Future of Financial Advisors40:59 Advice for Young Financial Advisors42:10 The Role of Technology in Private Markets43:48 The Vision Behind iAltA44:46 Building Horizontal Solutions46:14 Creating Bridges in Financial Infrastructure51:00 The Future of Financial Advice IndustryEditing and post-production work for this episode was provided by The Podcast Consultant.A word from AGM podcast sponsor, Ultimus Fund SolutionsThis episode of Alt Goes Mainstream is brought to you by Ultimus Fund Solutions, a leading full-service fund administrator for asset managers in private and public markets. As private markets continue to move into the mainstream, the industry requires infrastructure solutions that help funds and investors keep pace. In an increasingly sophisticated financial marketplace, investment managers must navigate a growing array of challenges: elaborate fund structures, specialized strategies, evolving compliance requirements, a growing need for sophisticated reporting, and intensifying demands for transparency.To assist with these challenging opportunities, more and more fund sponsors and asset managers are turning to Ultimus, a leading service provider that blends high tech and high touch in unique and customized fund administration and middle office solutions for a diverse and growing universe of over 450 clients and 1,800 funds, representing $500 billion assets under administration, all handled by a team of over 1,000 professionals. Ultimus offers a wide range of capabilities across registered funds, private funds and public plans, as well as outsourced middle office services. Delivering operational excellence, Ultimus helps firms manage the ever-changing regulatory environment while meeting the needs of their institutional and retail investors. Ultimus provides comprehensive operational support and fund governance services to help managers successfully launch retail alternative products.Visit www.ultimusfundsolutions.com to learn more about Ultimus' technology enhanced services and solutions or contact Ultimus Executive Vice President of Business Development Gary Harris on email at gharris@ultimusfundsolutions.com.We thank Ultimus for their support of alts going mainstream.

Decoding Shopify's Strategic Shift: What It Means for MerchantsIn Gartner's recent Magic Quadrant, Shopify has gained significantly in Execution and Vision. Whilst analyst reports shouldn't be seen as definitive, what's interesting is charting Shopify's fast ascent from challenger to leader.In this podcast, James & Paul look at the key strategic developments in 2025 that have fuelled this shift, and explore what they reveal about Shopify's direction of travel, as well as the implications for ecommerce teams.As Shopify continues to solidify its position as a market leader, understanding its strategic direction is crucial for businesses looking to leverage the platform effectively, as well as deciding if it's the right platform to bet on.What you'll get from the pod:Insightful analysis: get a deeper understanding of Shopify's strategic moves and how they impact the ecommerce landscape. Expert opinion: hear from industry experts as they dissect Shopify's latest initiatives. Actionable takeaways: discover practical insights that can help you leverage Shopify's capabilities.Key discussion points:AI and automation: Shopify's focus on AI capabilities aims to enhance automation and self-service, offering merchants new ways to streamline operations and improve customer experiences. Atlas AI store builder: empowers merchants to build stores with minimal developer support, expanding accessibility and innovation in store creation. Data strategy: Shopify's first-party data strategy is set to benefit advertising and customer insights, providing merchants with valuable data to drive decision-making. Payment focus: The integration with Lovable highlights Shopify's commitment to securing payment processes and enhancing brand awareness. Get James & Paul's informed perspective on how Shopify's strategic direction impacts your business.Key chapters:[00:30]- Introduction to Shopify's Strategy[03:30]- AI and Automation in Shopify[10:00]- Atlas AI Store Builder[16:00]- Shopify's Data Strategy[22:00]- Why Invest In Lovable?[28:00]- Omnichannel Experience

Connect to John Gilroy on LinkedIn   https://www.linkedin.com/in/john-gilroy/ Want to listen to other episodes? www.Federaltechpodcast.com The federal government recognizes that threats are multiplying at an exponential level. In fact, in October 2025, CISA released a free vulnerability scanner, and 10,000 organizations have signed up. Today, CISA is at its current capacity. Today, we examine solutions from a successful startup called CrunchAtlas. One of the co-founders, Ben Fabrelle, will share with the audience his experience in threat hunting in the federal government and why he combined with another veteran to form a company that can assist in threat intelligence, data analysis, and automation. During the interview, Fabrelle says that CrunchAtlas likes to attack "wicked" complex problems. One of the most complicated problems the federal government has is identifying threats in a world where the DoD is being attacked by malicious actors every day. Fabrelle suggests that the solution is a persistent cyber-hunt platform. It can search for threats in a wide range of environments. This means it can be deployed on-prem, in the cloud, or in an air-gapped environment. The founders view that a platform approach is the best way to scale against these adversaries. One of the key differentiators for CrunchAtlas is its ability to operate in the cloud, on-prem, and even in an air-gapped environment. In fact, their offering's code stack, from design, operates in an air-gapped environment. Automation in this kind of environment will allow for a reduction in false positives, which will, in turn, reduce fatigue and decrease the need for human threat hunters.  

This episode sponsored by Skydeo LightSpeed VT: https://www.lightspeedvt.com/ Dropping Bombs Podcast: https://www.droppingbombs.com/ In this revealing Dropping Bombs episode, Mike Ford, CEO of Skydeo, breaks down the massive data industry that powers modern advertising. From his garage startup with a Super Bowl commercial to building one of the largest data companies in America, Mike explains exactly how "free" apps actually make billions—by turning your everyday habits into precision advertising gold.   Think your phone is just listening? It's worse—it's predicting what you'll do next. Mike reveals the real business model behind your smartphone: how apps legally collect data, why companies pay millions for insights, and how this enables eerily accurate ads. From a near-death experience to a mushroom trip launching Skydeo, this is an entrepreneurial journey of turning data into empire. Learn why data is the new oil, how targeting actually works, and what every business owner needs to know about the internet's hidden economy.  

President Trump has reversed course on the release of the Epstein files. Why? Jesse Kelly explains and gets intel from John Solomon. Jesse also pinpoints two issues that will decide the 2026 midterm elections and why Trump needs to focus on them now. Plus, Marc Morano recaps what he learns at COP30 in Brazil and Eric Swalwell gets devastating news. I'm Right with Jesse Kelly on The First TV Pure Talk: Pure Talk just dropped their best deal ever—Unlimited Talk, Text & Data with a 30GB hotspot for just $29.95/month for life! Switch now at https://PureTalk.com/JESSETV before the offer ends 12/7. Masa Chips: Ready to give MASA or Vandy a try? Get 25% off your first order by going to http://masachips.com/JESSETV and using code JESSETV.Follow The Jesse Kelly Show on YouTube: https://www.youtube.com/@TheJesseKellyShowSee omnystudio.com/listener for privacy information.

PREVIEW Chinese Central Filtering of Canadian Statistical Assistance. Charles Burton discusses Canada's 1990s statistical assistance to China, noting how central filtering distorted the results. Authorities selectively used data that fit assumptions of success, ignoring negative information or using it only to improve tax extraction. The Canadians felt readily deceived due to China's reluctance to share negative truths. Guest: Charles Burton.

Get my free Top Trade Target at Each Position here: https://topfantasytrades.com/Grab The Blueprint here: https://bit.ly/TheFantasyBlueprint10 Players You Need to Add Before Week 12(Data source credits: Player Profiler)Gambling Problem? Call 1-800-GAMBLER or 877-8-HOPENY/text HOPENY (467369) (NY). Help is available for problem gambling. Call (888) 789-7777 or visit ccpg.org (CT). 18+ in most eligible states, but age varies by jurisdiction. Eligibility restrictions apply. Void where prohibited. See terms at draftkings.com. Sponsored by DK.

In this episode, Chris, Saied and Rajeil dive face-first into the chaos Washington left behind after the longest government shutdown in U.S. history — and surprise, surprise: the data we rely on to understand the economy might be "permanently broken." With CPI and jobs reports delayed, distorted, or potentially never released at all, the guys unpack what happens when policymakers, investors, and everyday Americans are flying blind. Add in whispers of shadow revisions, missing reports, and political spin, and suddenly “the data is fake” feels less like a meme and more like a macroeconomic red flag.➡️ But that's not all. The job market is flashing warnings, the housing market is handing out 50-year mortgages like party favors, and the government's “we'll fix it later” approach is aging about as well as a warm gas station sushi roll. Chris and Saied strip away the noise, break down the numbers, and ask the uncomfortable questions no one else wants to touch. If you're tired of sugar-coated narratives and want the real story behind the headlines, this episode is your financial reality check — delivered with the usual THS wit, skepticism, and a couple of perfectly timed eye rolls.

In this hour of Prop Points, host John Hansen does a Cowboys vs Raiders betting recap, details Buy Low-Sell High for NFL Week 12, and gives his Top-12 Waiver Wire pickups for Fantasy Football this week. Also, joining the show is Steven O'Rourke, Fantasy Data Analysis, to talk some more Fantasy Football and give some Actionable Stats and Data. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What happens when enterprise AI moves faster than the data foundations meant to support it? That question guided my conversation with Sumit Mehra, CTO and Co-Founder of Tredence, who joined me while travelling between customer meetings on the US West Coast. Sumit has a clear view of what is coming next, and he believes we are entering a phase he calls data Darwinism.  In his view, the next stage of AI advantage will not be won by the companies with the most models or the flashiest demos, but by those with the strongest data habits. Clean, governed, connected data is now the primary fuel for autonomous decision systems, and the enterprises that fail to address this will struggle to move past surface level gains. As we unpacked this shift, it became obvious how much of the real work in AI has only just begun. Over the years, Tredence built a reputation for solving the last mile of analytics by bringing insights out of slide decks and into the hands of the people doing the work. Sumit described that early chapter with a sense of pride, but he was quick to point out that another transition is already here. With agents now influencing and making decisions across supply chains, forecasting, and customer experience, enterprises are moving from reviewing insights to reviewing decisions. That shift demands stronger data platforms, tighter governance, and a cultural adjustment that many organisations are still wrestling with. Sumit spoke openly about how teams need support to trust agent driven outcomes, and how the leadership layer plays a major role in closing the long standing divide between business and technical groups. Our discussion also moved into the rise of real time decision systems, the move toward unified data platforms, and how vertical AI is reshaping expectations inside industries that rely on precision. Whether it was supply chain visibility, marketing personalisation, or the growing need for credible governance models, Sumit emphasised that organisations can no longer rely on siloed data or fragmented strategies. As Tredence expands deeper into regulated industries through its acquisition of Further Advisory, the work ahead touches everything from finance to healthcare. It left me thinking about how ready most companies truly are for this next phase, where every agent is only as reliable as the data beneath it. Where do you stand on data Darwinism, and how prepared do you think your own organisation is for what comes next? Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

Chronic Wasting Disease, hunter recruitment, and outdoor education take center stage as Scott Cronin joins the Driftwood Outdoors crew to talk about the changing face of hunting and why sharing knowledge is key to the sport's future.From the power of mentorship to lessons learned from wounded deer and missed shots, this conversation with Scott Cronin celebrates the honesty and heart that make hunting more than a hobby — it's a way of life.For more info: Scott Cronin BioSpecial thanks to:Living The Dream Outdoor PropertiesSuperior Foam Insulation LLCDoolittle TrailersScenic Rivers TaxidermyConnect with Driftwood Outdoors:FacebookInstagramYouTubeEmail:info@driftwoodoutdoors.com

Send us a textEpisode SummaryIn this episode, Dr. Latifat breaks down one of the most common money questions high-earning women physicians ask: “Should I pay for a financial advisor?”Here's the honest truth — most people are paying thousands of dollars every year for work they could easily automate themselves. Data shows that a simple, low-cost index fund strategy (think Boglehead-style investing) often performs just as well as many actively managed portfolios — minus the hefty fees.But this isn't about villainizing financial advisors. It's about empowering you to understand what you're paying for and making sure you're actually getting value in return.If your financial advisor is helping you strategize, optimize, and grow beyond what you could do on your own — that's worth exploring. If not? It may be time to reclaim that money and redirect it toward your own wealth-building goals.

What happens when a data analyst starts studying their hometown's finances? For Karl Urich, it meant seeing Albany, New York, in a whole new light. Karl shares how he makes intimidating financial statements accessible to everyone, why unbiased storytelling matters more than gotcha journalism, and practical tips for aspiring data storytellers. ADDITIONAL SHOW NOTES Albany Data Stories (site) Hudson Finance Decoder (site) Karl Urich (LinkedIn) Norm Van Eeden Petersman (LinkedIn)   This podcast is made possible by Strong Towns members. Click here to learn more about membership.

With the U.S. government now reopen, investors are anxious to receive economic data that was halted during the shutdown period. So, what will investors receive and when? Jason drops by the studio to explain what to expect, and what it all could mean for a December Fed rate cut. Plus, thoughts on recent market price action. Featured is Jason Draho, Head of Asset Allocation Americas, UBS Chief Investment Office. Host: Daniel Cassidy

Today's guest is Nick Masca, Head of Data Science for Growth & Personalisation at Marks and Spencer. Marks and Spencer plc is a prominent British multinational retailer headquartered in London, England, known for offering a wide range of clothing, beauty items, home goods, and food products. Nick joins us on the program to surmise his views on the data-driven challenges currently facing the retail and eCommerce sectors. With a focus on change management rather than traditional digital transformation, Nick outlines the key obstacles retail leaders encounter when leveraging data tools to optimize processes like price setting, supply chain efficiency, and customer experience. He shares insights on the friction that arises when introducing automation, particularly in areas like content development, and how data teams can work closely with stakeholders to ensure seamless implementation. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

In this episode of Gov Tech Today, host engages with Jeffrey Marino, Director of the California Office of Data and Innovation (ODI), to discuss his journey from data journalism to government service. They delve into government use of data during the COVID-19 crisis, the challenges of data analytics in state systems, and the mission of ODI to enhance service delivery through technology and human-centered design. They also explore the Engaged California program and Innovation Fellows initiative aimed at gathering state employee feedback and fostering transformational change from within. 00:00 Introduction and Guest Welcome00:24 Jeffrey Marino's Background and Journey01:29 COVID-19 Data Challenges and Solutions03:08 Engaging the Public and Policy Impact04:57 Building Data Analytics Pipelines06:18 The Role and Mission of ODI07:41 Innovation in Government: Challenges and Strategies19:13 Engaged California and Innovation Fellows Program24:09 Addressing Employee Feedback and Trust31:19 Conclusion and Final Thoughts

Kristine Batty, PHD, APRN, BC-ADM, CDCES, FADCES joins this episode of Danatech Talks–a special series from The Huddle– to provide a high-level overview on continuous glucose monitors (CGMs). Kristine touches on the basics of how CGMs work, what CGM devices are out there today, what the different devices measure, and how CGM technology impacts clinical decision making. This episode was supported by educational grant funding from Abbott.Explore the latest in diabetes technology as well as trainings and resources on danatech: danatech l Diabetes Technology Education for Healthcare ProfessionalsListen to the first episode of our Danatech Talks diabetes technology series: https://thehuddle.simplecast.com/episodes/basics-diabetes-technology-for-health-care-professionals Listen to more episodes of The Huddle at adces.org/perspectives/the-huddle-podcast.Learn more about ADCES and the many benefits of membership at adces.org/join. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.