Podcasts about data driven

A scale. A phone call at the end of the week. A data alert at 6 a.m. Monday morning. These aren't high-tech fantasies — they're the tools that are quietly keeping people out of hospitals and in their homes. In Part 2 of this two-part conversation, Jamie and Brody Wall, Division President of Operations at Your Health, go inside what data-driven care actually looks like on the ground — for the staff delivering it and the patients whose lives depend on it. This episode is less about the architecture of the system and more about what happens when you turn it on. Jamie and Brody cover: The Monday and Tuesday ER spike — and what the data revealed about a weekend coverage gap that was hiding in plain sight How remote patient monitoring caught a CHF patient's five-pound weight gain before it became a Monday emergency room visit — and what that prevented What staff data reveals about burnout, scheduling, and where care quietly falls through the cracks The math that should change how every healthcare organization operates: $800,000 in proactive primary care versus $16 million in hospitalizations for the same 800 patients A hip fracture story — and the 80% mortality statistic behind it — that captures everything Your Health is trying to prevent before it ever becomes a catastrophe This episode is about what it looks like when an organization decides that data isn't there to watch over people — it's there to protect them. If you have a parent, a patient, or a neighbor who deserves this kind of care, share this episode with them. www.YourHealth.Org

Check the episode transcript hereABOUT GEORGE ROBERTS George Roberts is the author of “Passionate Living Through Passive Investing,” which focuses on opportunities in commercial real estate while at the same time highlighting both his diverse experience in private equity as well as the power of a passionate, intention-driven lifestyle. Before devoting himself to commercial real estate full-time, George worked as an award-winning data scientist and bioscientist with over 800 citations in the fields of genomics, microbiology, and physiology. After making his mark on three fields of bioscience, he turned his attention to the dashing world of entrepreneurship.  George is also the founder of Roberts Capital Enterprises, which sponsors value-add multifamily opportunities for qualified passive investors. In addition to owning over 550 units as an active multifamily investor, he is also an avid passive investor. His passive investments include over 600 multifamily units, carwashes, early-stage companies, as well as triple-net real estate.  When he is not attending to one of his business entities, he can be found sailing Lake Erie with his wife Mary and his two sons.     THIS TOPIC IN A NUTSHELL:  George Roberts' journey from accidental landlord to multifamily investor Why multifamily outperformed every other investment asset Using data science to make smarter real estate decisions The power of curiosity and continuous learning Transitioning from a W-2 career to full-time investing Active vs. passive investing in multifamily real estate Investing in Midwest and secondary growth markets Market migration trends and affordability insights Buying with a margin of safety during market cycles Using economic data to identify investment opportunities Private lending as a wealth-building strategy Building investment opportunities through networking Avoiding "deal heat" and herd mentality Diversification and capital preservation strategies Lessons from Passionate Living Through Passive Investing   KEY QUOTE:  “Stay curious. The more you learn, the better investor you'll become.”   ABOUT THE WESTSIDE INVESTORS NETWORK   The Westside Investors Network is your community for investing knowledge for growth. For real estate professionals by real estate professionals. This show is focused on the next step in your career... investing, for those starting with nothing to multifamily syndication.   The Westside Investors Network strives to bring knowledge and education to real estate professionals that is seeking to gain more freedom in their life. The host AJ and Chris Shepard, are committed to sharing the wealth of knowledge that they have gained throughout the years to allow others the opportunity to learn and grow in their investing. They own Uptown Properties, a successful Property Management, and Brokerage Company. If you are interested in Property Management in the Portland Metro or Bend Metro Areas, please visit www.uptownpm.com. If you are interested in investing in multifamily syndication, please visit www.uptownsyndication.com.     We would like to thank our Sponsors: OffsitePros and MyMoneyWorksForMe   #MultifamilyInvesting #RealEstateInvesting #CommercialRealEstate #ApartmentInvesting #PassiveInvesting #PassiveIncome #RealEstateSyndication #RealEstateInvestor #CREInvesting #CashFlowInvesting #FinancialFreedom #WealthBuilding #LongTermInvesting #DataDrivenInvesting #InvestmentStrategy #MarketAnalysis #RealEstateEducation #PrivateLending #PortfolioDiversification #CapitalPreservation #SmartInvesting #RealEstatePodcast #InvestorMindset #BuildingWealth #AlternativeInvestments #AccreditedInvestors #DealAnalysis #MarketCycles #GenerationalWealth #InvestingKnowledgeForGrowth  CONNECT WITH GEORGE ROBERTS: LinkedIn: https://www.linkedin.com/in/georgerobertsiii Instagram: https://www.instagram.com/authorinvestorgeorgeroberts Facebook: https://www.facebook.com/george.roberts X: https://x.com/REDatascientist    CONNECT WITH US   For more information about investing with AJ and Chris:  · Uptown Syndication | https://www.uptownsyndication.com/ · LinkedIn | https://www.linkedin.com/company/71673294/admin/  For information on Portland Property Management:  · Uptown Properties | http://www.uptownpm.com ·  Youtube | @UptownProperties  Westside Investors Network  · Website | https://www.westsideinvestorsnetwork.com/ · Twitter | https://twitter.com/WIN_pdx · Instagram | @westsideinvestorsnetwork · LinkedIn | https://www.linkedin.com/groups/13949165/ · Facebook | @WestsideInvestorsNetwork ·  Tiktok| @WestsideInvestorsNetwork ·  Youtube | @WestsideInvestorsNetwork 

In this episode, Logan is joined by guest co-host Lee Gimpel and guest Vinnu Deshetty, the Event ROI Coach, for a conversation about one of the most misunderstood topics in the events industry right now: data. Vinnu breaks down what clean data actually means, where AI is genuinely helping event professionals versus where the hype is outpacing the reality, and what real personalization looks like versus what just looks like it. If you've ever felt intimidated by data or unsure where to start, Vinnu makes it feel human, practical, and worth your attention.SHOW NOTES:Purchase our on-demand How to Start an Event Planning Business Workshop: https://bettereventspod.com/workshopConnect with Vinnu Deshetty:Website: https://www.eventroicoach.comLinkedIn: https://www.linkedin.com/in/vinnudeshetty/Connect with guest co-host Lee Gimpel on LinkedIn: https://www.linkedin.com/in/lee-gimpel/Learn more about the pod, Better Events Conference and more: https://bettereventspod.com/the-latestWant our updated free run of show template? Download it here: https://bettereventspod.com/templates/p/run-of-show-template-freeTHANKS FOR THE LOVE! Love this podcast? Please share with your event friends, tag us, and leave a review!——FOLLOW US ON INSTAGRAM:@bettereventspod@loganstrategygroup_events (Logan)@epeventsllc (Mary)

What does it take to build resilient communities in an era of rapid economic change? In this episode of Develop This!, Dennis Fraise speaks with Ryan Silva, Executive Director of the New York State Economic Development Council, about the policies, partnerships, and strategies shaping economic growth across New York. Ryan shares insights on how data-driven decision-making is helping communities plan for the future, attract investment, and navigate increasingly complex economic challenges. From workforce development to infrastructure planning, the conversation highlights the importance of grounding strategy in reliable research and long-term thinking. A major focus is the impact of the CHIPS and semiconductor investments transforming regions across the country. Ryan discusses how large-scale projects create opportunities for growth while also requiring communities to think carefully about readiness, workforce capacity, and supporting infrastructure. The discussion also explores the balance between pursuing major economic wins and ensuring smaller communities have the tools and resources needed to thrive. Throughout the episode, Ryan emphasizes the importance of adaptability, collaboration, and continuous professional development in a rapidly evolving field. A key takeaway? Successful economic development is built on preparation, partnerships, and a willingness to embrace both opportunity and change. Key Takeaways Data and research are essential for effective economic development strategy Semiconductor investments are reshaping regional economies Community readiness is critical for attracting large-scale projects Workforce development and infrastructure remain top priorities Small communities can thrive through resilience and strategic planning Collaboration and adaptability drive long-term success Key Topics Covered Economic development policy and initiatives Data-driven planning and decision-making Impact of the CHIPS Act and semiconductor investments Workforce and infrastructure development Community readiness and regional growth Professional development in economic development Sound Bites "Finding a way to get to yes." "Building the plane while flying it." "Hope in small community resilience."

Professor Linda Macomber, a healthcare tech consultant at Renaissance Health, highlights the transformative potential of AI and digital health solutions, as well as the shift from siloed, symptom-focused care to holistic, personalized medicine. AI applications in healthcare have moved from deterministic expert systems to generative AI models that use genomic and longitudinal data from wearables for continuous monitoring and preventive care. Linda emphasizes that successful AI implementation requires viewing technology as a strategic investment rather than an expense, with a focus on actions that improve patient outcomes and clinicians' quality of life. Linda explains, "Well, I've certainly been involved in all areas of the healthcare ecosystem over the past 40 years. For the past 16 years, I have been a professor at National University, starting the Master of Science and Health Informatics program. The 30 years prior to that, working in different areas of software design and development in the early days with SAIC and the Department of Defense, then Kaiser Permanente, University of California systems, and then some work with community health centers as well. I'm a life fellow in HIMSS, which is only a few people who have been around long enough to have that designation. But started my career as an ICU nurse and still hold on to the clinical informatics side, look at it from the lens of a healthcare professional, as well as the tech, educator, and startup perspective. Most recently, I have been working with a number of different startups."   "Well, certainly when it comes to the opportunities with AI in particular, things are moving so fast and looking at lots of different priorities and opportunities. When it comes to incremental change, it is always a little easier, but I think that opportunities are much bigger now for much more significant advancement of the care delivery system. Bringing care to people instead of people always having to travel to facilities for care, using digital systems in new ways to empower all of us, informing choice, and being much more proactive and personalized."  #LindaMacomber #HealthcareInnovation #DigitalHealth #HealthInformatics #AIinHealthcare #ClinicalInformatics #Genomics #Wearables #PopulationHealth #Interoperability #MedicalEducation Renaissance.Health Download the transcript here

Professor Linda Macomber, a healthcare tech consultant at Renaissance Health, highlights the transformative potential of AI and digital health solutions, as well as the shift from siloed, symptom-focused care to holistic, personalized medicine. AI applications in healthcare have moved from deterministic expert systems to generative AI models that use genomic and longitudinal data from wearables for continuous monitoring and preventive care. Linda emphasizes that successful AI implementation requires viewing technology as a strategic investment rather than an expense, with a focus on actions that improve patient outcomes and clinicians' quality of life. Linda explains, "Well, I've certainly been involved in all areas of the healthcare ecosystem over the past 40 years. For the past 16 years, I have been a professor at National University, starting the Master of Science and Health Informatics program. The 30 years prior to that, working in different areas of software design and development in the early days with SAIC and the Department of Defense, then Kaiser Permanente, University of California systems, and then some work with community health centers as well. I'm a life fellow in HIMSS, which is only a few people who have been around long enough to have that designation. But started my career as an ICU nurse and still hold on to the clinical informatics side, look at it from the lens of a healthcare professional, as well as the tech, educator, and startup perspective. Most recently, I have been working with a number of different startups."   "Well, certainly when it comes to the opportunities with AI in particular, things are moving so fast and looking at lots of different priorities and opportunities. When it comes to incremental change, it is always a little easier, but I think that opportunities are much bigger now for much more significant advancement of the care delivery system. Bringing care to people instead of people always having to travel to facilities for care, using digital systems in new ways to empower all of us, informing choice, and being much more proactive and personalized."  #LindaMacomber #HealthcareInnovation #DigitalHealth #HealthInformatics #AIinHealthcare #ClinicalInformatics #Genomics #Wearables #PopulationHealth #Interoperability #MedicalEducation Renaissance.Health Listen to the podcast here

Read the article here: https://journals.sagepub.com/doi/full/10.1177/30494826261433538

The American healthcare system is built around a simple idea: get sick, get treated. But what if the problem isn't how we treat illness — it's that we've never seriously tried to prevent it? In this first installment of a two-part conversation, Jamie sits down with Brody Wall, Division President of Operations at Your Health, to trace the arc from a broken, reactive healthcare system to one where data tells you what's coming before the patient even knows something is wrong. Brody's path to healthcare wasn't through a textbook — it was through a father who was a Methodist minister and a mother who spent her career caring for underprivileged children. The mission was always there. The data just became the most honest way to fulfill it. In Part 1, Jamie and Brody cover: Why fee-for-service healthcare financially rewards volume of sick visits — not health — and how that one incentive structure explains why 17-20% of America's GDP goes to healthcare costs with outcomes that still lag behind other developed nations What Your Health was flying blind on before it committed to building a real data infrastructure — and what gut-feeling decisions look like when data finally proves them wrong How social determinants of health (Z codes) and behavioral health conditions (F codes) reveal which patients are actually at the highest risk of hospitalization The finding that changed everything: patients with four or more behavioral health conditions were ten times more likely to have multiple ER visits — and the clinical response that followed This isn't just a conversation about numbers. It's about what happens when an organization decides that preventing the crisis matters more than reacting to it. Part 2 drops next week. www.YourHealth.Org

Hello everyone. Welcome to the latest episode of The Matchbox Podcast powered by Ignition Coach Co. I'm your host, Adam Saban, and on this week's episode we're talking about our own anecdotes with the massive landscape of wearable devices.   As always, if you like what you hear, share this with your friends and leave us a five star review and if you have any questions for the show drop us an email at matchboxpod@gmail.com or head over to ignitioncoachco.com and fill out The Matchbox Podcast listener question form.    Alight let's get into it!   For more social media content, follow along @ignitioncoachco @adamsaban6 @dizzle_dillman @dylanjawnson @kait.maddox     https://patreon.com/MatchboxPodcast?utm_medium=unknown&utm_source=join_link&utm_campaign=creatorshare_creator&utm_content=copyLink   https://www.youtube.com/c/DylanJohnsonCycling https://www.ignitioncoachco.com        Summary: In this episode, we dive into the evolving world of wearable technology, assessing their real value for athletes and coaches. We explore which metrics matter, the effectiveness of blood work versus wearables, and practical tips for integrating data into training without over-relying on it.   Key Topics: The most useful wearable data fields for athletes and coaches Personal experiences with Whoop, Garmin, and other devices The potential placebo effect of wearables and how to interpret data critically The role of sleep tracking and hydration data in performance Blood tests vs. wearable metrics: what's more valuable? How to avoid over-analyzing wearable data and maintain intuitive training Encouragement to focus on body awareness and subjective feelings alongside tech The importance of baseline measurements like heart rate and power meters Using daily weigh-ins for hydration and weight management The limitations of current norms in blood work and health markers   Timestamps: 00:00 - Introduction and episode overview 00:30 - Common wearable devices discussed and used 01:13 - Wearables that measure beyond heart rate and power 01:53 - Wearables used during rides vs. daily devices 02:22 - Real-time data integration challenges 03:06 - Wearable usage for training impact versus outside activities 03:52 - The utility of Garmin and Whoop for sleep and HRV 04:55 - Using HRV and recovery scores to inform training decisions 06:09 - Research on HRV-guided training and its effectiveness 07:40 - Placebo effects and the psychological influence of wearable data 08:19 - Potential for subjective experience to outweigh wearable metrics 09:47 - The importance of sleep monitoring and behavior changes 12:38 - The psychological impact of wearable feedback on performance 14:36 - When and how coaches use wearable data for big-picture insights 16:15 - The value of blood work and biomarkers over time 27:22 - Advocating for regular blood testing and its potential with AI analysis 30:48 - The limitations of norms in blood work and health markers 31:45 - The benefits of daily weight tracking and hydration awareness 32:04 - Final thoughts on prioritizing blood tests over wearable spending

Creating a data-driven culture has become one of the most common ambitions in business. It's written into strategies, discussed in boardrooms and increasingly sits alongside AI transformation plans. But what if organisations have been approaching it the wrong way?   In this episode, Jason Foster, CEO & Founder of Cynozure, challenges the idea that culture is something you can create through awareness campaigns, training or communications alone. Instead, he argues that culture is the outcome of how an organisation is designed - from its incentives and decision-making processes to the systems, behaviours and leadership it rewards every day.   Drawing on leadership theory and practical experience, Jason explores why organisations should stop trying to change the "shadow" and instead focus on changing what's casting it. He explains why making data easier to access, embedding evidence into decisions, rewarding the right behaviours and solving real business problems will naturally create a stronger data culture.   As organisations race to become AI-first, the episode also offers a timely warning: don't repeat the same mistakes. Design the environment first, and the culture will follow.

Justin Spillers, owner of Real Estate Alpha, shares the concrete tactics he's used to embed AI across six business divisions: acquisitions, leasing, property management, maintenance, construction, and capital raising. He dives deep into how his team is automatically underwriting 1200 deals per year, analyzing market data in five minutes, and even cutting down the need for full-time hires, saving tens of thousands of dollars annually. You'll discover how AI tools like Claude Cowork replace clunky setups, effortlessly analyze PDFs, generate custom investment models, and optimize leasing conversations on the fly. Justin Spillers Partner & Manager of Real Estate Alpha Based in: Minster, Ohio Where to find them: https://www.linkedin.com/in/justinspillers/ realestatealpha.io/ Book your free demo today at bill.com/bestever and get a $100 Amazon gift card. Visit https://malabarhillcapital.com/ for more info. Podcast production done by⁠ ⁠Outlier Audio Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome NoOffseason.com Family! We are so happy to have you with us to help you make money flipping sports cards using Data Driven Sports Card Investing.We discuss…Best Sports Cards To Buy In The SummerThe Best New Tool In The Hobby

Send us Fan MailSchedule an Rx AssessmentFresh off the NHIA (National Home Infusion Association) Conference, we're talking Revenue Cycle Management for infusion centers and home infusion pharmacies!In this episode as part of our Infusion Revolution Series on the Bottom Line Pharmacy Podcast, we sit down with Chris Hilger, CEO of SolisRx to break down:The three core areas of revenue leakageData fundamentals through the data mountain blueprint How infusion providers can use their own data to intercept denials before they happenWhy chasing Gen AI before you've built the fundamentals is a costly mistakeAnd more!More About Our Guest:Chris Hilger is the CEO of SolisRx and a leading voice on analytics in the infusion industry. He is a contributor to NICA on data analytics and AI adoption in infusion operations.Chris's experience comes from driving data strategy and implementation across a dozen infusion clients. He speaks and consults on analytics, revenue cycle visibility, and operational intelligence for stakeholders across the industry and has a decade of experience across healthtech, including a Master's in Health Data Science from Harvard.Stay connected with Chris and SolisRx: Chris' LinkedInSolisRx WebsiteSolisRx LinkedInStay connected with us: FacebookTwitterLinkedInScotty Sykes – CPA, CFP LinkedInScotty Sykes – CPA, CFP TwitterBonnie Bond – CPA LinkedInBonnie Bond – CPA TwitterMore resources on this topic: Podcast - Driving Independent Pharmacy Profitability in 2026Podcast – Opening an Infusion PharmacyPodcast – KPIs for the Rapid Growth Pharmacy

In 2025, the American Forest & Paper Association (AF&PA) won an ASAE Gold Circle Award for its search-first digital strategy, developed to increase visibility and improve perceptions of the U.S. paper industry. In this episode of Association Tech Insider, ASAE Communications Council member Bridget Folliard Terrones sits down with Stacie Manger, AF&PA's Director, Digital and UX Strategy, to discuss how she and her colleagues executed a groundbreaking search-driven content strategy for AF&PA's blog, transforming it into a leading digital resource. Manger explains how digital touchpoints now shape advocacy and why that drove AF&PA to focus on being findable to advance key priorities, strengthen the online narrative, and simplify complex policy issues.

In this episode, we dive into the fascinating intersection of sports, gambling, and data science as Fintan and Jon are (re)joined by Matt Bakowicz of the brilliantly-named American University. Matt shares insights into how predictive models, AI, and statistical analysis are transforming the ways we understand and wager on sports, from horse racing to the World Cup and beyond. It meanders too, looking at how the World Cup has not succeeded quite so well in cities lacking a traditional tourism infrastructure, betting values on the British Open, and how to best get out of a bunker. A sandy, golfy bunker, obv. What we covered, but in a list: The role of AI and statistical models in sports betting and prediction marketsThe influence of crowd behavior and betting signals on golf and soccer outcomesThe economics of mega-events like the World Cup and Olympics, including infrastructure and profitabilityThe evolving landscape of sports betting regulation and the impact on bookmakersReal-world examples from horse racing, golf, and international tournamentsHow data-driven models shape athlete predictions and betting strategiesThe significance of international sports markets and their cultural influencesPractical insights for sports fans, bettors, and industry professionalsChapter list (but add a bit because of our sexy music)00:00 - Welcome and World Cup chaos 03:16 - Media wires, PR, and headline inflation 09:52 - GLI sponsorship and gaming compliance 11:37 - Introducing Matt Bakowicz 19:16 - Royal Ascot, Kentucky Derby, and AI models 23:30 - Allocating bankroll with two betting strategies 27:13 - AI vs AI in modern betting markets 30:50 - Teaching sports betting and gaming in university 42:30 - World Cup pricing, tourism, and host-city economics 50:47 - Why Americans are embracing the World Cup 57:40 - Penalties, shootouts, and the psychology of endings 62:56 - Futures markets and sportsbook risk 76:11 - The Open Championship and golf betting valueMatt on LinkedIn: https://www.linkedin.com/in/matthew-bakowicz-b016a738a/Resources & Links:As ever, we thank all of our sponsors for their vibrant and excellent support that makes all of this… magic… possible.Optimove, who turn customer data into something special, with tools that make businesses just plain work better. Optimove, your support helps us to keep creating content for an industry that probably thinks we disappeared years ago.Then of course there is Clarion Gaming, no hang on World Gaming, providers of the magnificent ICE expo and iGB Live! in London. There is simply nobody better at what they do.And the new-ish-est members of the family, the excellent Gaming Laboratories International. GLI is a world-class Testing, Inspections and Certification company committed to delivering the highest quality land-based, lottery, and iGaming testing and assessment services, working in more than 710 jurisdictions.For more information, visit gaminglabs.com.The Gambling Files podcast delves into the business side of the betting world. Each week, join Jon Bruford and Fintan Costello as they discuss current hot topics with world-leading gambling experts.Website: https://www.thegamblingfiles.com/Subscribe on Apple Podcasts: https://apple.co/3A57jkRSubscribe on Spotify: https://spoti.fi/4cs6ReF Subscribe on YouTube: https://www.youtube.com/@TheGamblingFilesPodcast Fintan Costello on LinkedIn: https://www.linkedin.com/in/fintancostello/ Jon Bruford on LinkedIn: https://www.linkedin.com/in/jon-bruford-84346636/ Follow the podcast on LinkedIn: https://www.linkedin.com/company/the-gambling-files-podcast/ Sponsorship enquiries: https://www.thegamblingfiles.com/contact/ Get our newsletter: https://thegamblingfilestldr.substack.com/

What if artificial intelligence could help you become a better cheer coach, develop athletes faster, and remove the guesswork from evaluations? Every cheer coach faces the same challenges: evaluating athletes fairly, giving individualized feedback, managing team communication, and tracking development over time. In this episode, Curve AI founder Shea shares how artificial intelligence is being used to simplify coaching, provide objective athlete assessments, and create entirely new opportunities for athlete development and mentorship. After listening, you'll discover: How AI can objectively measure athleticism and identify untapped athlete potential. Ways technology can save coaches time with evaluations, communication, and video feedback. Why data-driven coaching may become one of the biggest competitive advantages in cheerleading. Press play to discover how artificial intelligence could transform the way you coach, evaluate, and develop cheer athletes in the years ahead. Join our Patreon for ad free listening Buy the Jason's Book, Upside Down and Back Again ⁠ Jason's On-Demand Coaches Training Videos⁠⁠⁠⁠⁠⁠ ⁠⁠ ⁠⁠⁠⁠ Code of Points Cheatsheet FREE⁠ Join the Cheer Mom's Anonymous Facebook Group- https://www.facebook.com/share/g/1Zt7hJYgHL/?mibextid=wwXIfr Brittany's Comp Cheer Checklist- instagram.com/stories/highlights/18356656174188077 Jason's Book Recommendations- ⁠⁠⁠⁠Amazon Affiliate Link⁠⁠⁠⁠ ⁠⁠⁠⁠Follow Let's Talk Cheer on Instagram⁠⁠⁠⁠ Submit a Question of the Week Other great cheerleading podcast to check out- The Cheer Biz Podcast, The Cheer Mom Podcast, Spill the Cheer, Mat Talk Table Talk, Cheer Chats Podcast, MotUS Edge Podcast, The Cheer Dad Podcast and the Here 4 Cheer Podcast Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Enterprise AI adoption is moving faster than security and governance frameworks can follow,  forcing organizations to make difficult trade-offs between competitive urgency and operational risk. In this episode, Jason Loomis, CISO at Freshworks, examines why most enterprises have not yet resolved the tension between AI deployment speed and security maturity, and outlines a sequenced approach; beginning with regulatory compliance, advancing through data trust, and extending into AI-specific security frameworks. The conversation covers how leadership can build the investment case for AI, how culture shapes adoption outcomes, and why the biggest executive mistake is expecting returns before committing the resources that make them possible. Connect with ideal enterprise AI through the strategies Emerj employs to help leading AI brands and startups: emerj.com/AD1  

In this episode, Amy shares her 22-year journey in real estate, blending her background in mathematics with her passion for investment and client service. Discover how her analytical mindset and diverse experience make her a standout in the industry, offering valuable insights for investors and agents alike.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

Welcome to Fertility & Sterility Roundtable, hosted by Dr. Emily Barnard and Dr. Ben Peipert! Each week, we will host a discussion with the authors of "Views and Reviews" and "Fertile Battle" articles published in a recent issue of Fertility & Sterility.  Today, we will be discussing the Views and Reviews from the June 2026 edition of Fertility and Sterility entitled "Data Driven Analysis of Fertility Optimization"  This Views and Reviews brought together experts, some of whom we will be interviewing today, who evaluated and summarized the evidence on optimization of fertility using diet and lifestyle interventions, surgical restoration of anatomy, menstrual cycle tracking, and comparative data between these methods and in vitro fertilization. The authors discuss what we know and where knowledge gaps exist. I do encourage our listeners to read the full breadth of articles as I know this topic is something almost all my patients ask me about.  Dr. Eve Feinberg is a Professor and REI fellowship program director in the division of Reproductive Endocrinology and Infertility at Northwestern University Feinberg School of Medicine. Dr. Feinberg is both an Editorial Editor at Fertility and Sterility and co-host of our big-sister podcast Fertility and Sterility On Air. Dr. David Boedeker is a first-year Reproductive Endocrinology fellow at the National Institutes of Health and an active duty physician in the United States Air Force. He completed his obstetrics and gynecology residency at Walter Reed National Military Medical Center and earned a master's degree in health policy and administration from Columbia University. 

In this episode, Professor Ricardo Vinuesa - Associate Chair for Research and Associate Professor of Aerospace Engineering at the University of Michigan - explores with Neil one of the biggest questions in modern fluid mechanics: can AI help us move beyond faster CFD and toward genuine autonomous scientific discovery? Drawing on his work at the intersection of turbulence, machine learning, explainable AI, reduced-order modeling, and flow control, Neil and Prof. Vineusa discusses the promise and limits of foundation models for fluids, why the right latent representations may matter more than simply scaling data, and how agentic AI systems could uncover physical mechanisms that humans might otherwise miss.Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations — Abhijeet Vishwasrao et al.https://arxiv.org/abs/2604.09584The episode's most direct follow-up: multi-agent LLMs and latent foundation models autonomously explore flow physics in a tandem-cylinder setup.Enhancing computational fluid dynamics with machine learning — Ricardo Vinuesa, Steven L. Bruntonhttps://doi.org/10.1038/s43588-022-00264-7A concise roadmap for useful ML in CFD, from faster simulations and turbulence modelling to reduced-order models.Identifying regions of importance in wall-bounded turbulence through explainable deep learning — Andrés Cremades et al.https://doi.org/10.1038/s41467-024-47954-6Uses explainable AI to identify flow structures that matter for prediction and control, not just visually striking turbulence features.β-Variational autoencoders and transformers for reduced-order modelling of fluid flows — Alberto Solera-Rico et al.https://doi.org/10.1038/s41467-024-45578-4Shows how disentangled latent spaces, autoencoders, and transformers can support interpretable reduced-order models of nonlinear flows.Improving turbulence control through explainable deep learning — Miguel Beneitez et al.https://arxiv.org/abs/2504.02354Links explainable AI with deep reinforcement learning to target turbulence-sustaining mechanisms, with relevance for flow control, drag reduction, and energy efficiency.LinksVinuesaLabhttps://www.vinuesalab.com/Ricardo Vinuesa — University of Michigan Aerospace Engineeringhttps://aero.engin.umich.edu/people/ricardo-vinuesa/AI and ML for Fluid Dynamics course — Ricardo Vinuesa & Sergio Hoyashttps://www.flowthermolab.com/courses/ai-ml-for-fluids/VinuesaLab YouTube channelhttps://www.youtube.com/@VinuesaLabAI for Fluid Mechanics, Sustainability & XAI — Ricardo Vinuesahttps://www.youtube.com/watch?v=TOfwf4ffPnURicardo Vinuesa — Modelling and controlling turbulent flows through deep learninghttps://www.youtube.com/watch?v=0AOY_agZ8WMChapters00:00 Podcast Intro03:20 The Evolution of Foundation Models in Fluid Dynamics10:22 Understanding Explainable AI in Fluid Mechanics15:34 Challenges in Data Fidelity for Foundation Models20:29 Machine Learning vs. Reduced Order Modeling24:22 The Shift in Focus: Turbulence Modeling to Surrogate Models29:48 Exploring Agentic Systems for Scientific Discovery37:21 Exploring Latent Representations in Fluid Dynamics40:40 The Role of AI in Autonomous Discovery41:57 Bridging Fluid Mechanics and Computer Science45:28 Data-Driven vs Physics-Driven Models51:34 The Role of Academia in AI and Fluid Mechanics56:27 Optimization and Control in Machine Learning01:00:28 Future of AI in Fluid Dynamics: Beyond ChatGPT

In this episode, Josh interviews George Meressa, founder of Clear Ads, about effective Amazon DSP advertising strategies. George explains how to vet DSP agencies, select high-performing products for campaigns, and leverage remarketing, cross-selling, and competitor targeting using Amazon's data analytics. He emphasizes the importance of choosing certified partners, analyzing product conversion rates, and methodically building campaigns. The discussion includes actionable tips for maximizing ROAS and practical advice for supplement brands and other sellers aiming to scale with DSP. The episode concludes with key takeaways for listeners interested in leveraging Amazon DSP for business growth.Chapters:Introduction & Guest Background (00:00:00)George Meressa's experience in digital advertising and focus on Amazon PPC and DSP.Vetting a DSP Agency (00:00:40)Checklist for choosing a DSP agency, importance of official partners, and due diligence questions.Transition to DSP Strategies (00:03:16)Emphasizing the importance of agency selection before starting DSP strategies.Selecting Products for DSP (00:03:41)Criteria for choosing products: retail readiness, sales volume, impressions, and conversion rates.Remarketing as First Strategy (00:03:45)Remarketing setup: targeting product viewers who haven't purchased, and audience segmentation.Product Data & Conversion Rate Analysis (00:04:59)Importance of product data, minimum impressions, and conversion rate benchmarks for DSP success.Audience Segmentation for Retargeting (00:06:27)Creating and excluding specific audiences for more effective retargeting campaigns.Cross-Selling & Market Basket Analysis (00:07:14)Using brand analytics and market basket analysis to build cross-sell campaigns.Advanced Audience Targeting & Overlap Reports (00:08:18)Utilizing overlap reports, refining audience targeting, and future of display ads.Bespoke ASIN Targeting & Subscribe & Save Strategies (00:09:13)Custom ASIN targeting, strategies for subscribe & save products, and using purchase window data.Competitor Targeting for Supplements (00:11:17)Targeting competitor's customers for supplements and the strong DSP fit for supplement brands.Episode Wrap-Up & Actionable Takeaways (00:11:41)Summary of key strategies, actionable steps, and importance of methodical DSP campaign building.DSP Product Fit & Data-Driven Decisions (00:13:37)Discussion on product suitability for DSP, importance of impressions and conversion rates.Layering DSP Strategies Up the Funnel (00:14:37)Methodical approach: start with retargeting, analyze results, and progressively add advanced strategies.Closing & Contact Information (00:15:27)How to contact George Meressa and Clear Ads for DSP services and further advice.Links and Mentions:Amazon Accredited Partners Page: "00:01:48"  Brand Metrics: "00:05:47"  Overlap Reports: "00:08:18"  Prosper Show: "00:08:18"  Nozzle: "00:10:12"  ClearAds: "00:15:53"Transcript:Josh 00:00:00  I am super excited to introduce you all to George Meressa. George has been in digital advertising since 2009, working on a wide range of platforms including Amazon, Google, Bing, LinkedIn and Facebook. Paid advertising. Using these platforms, he has worked with hundreds of advertisers across the world in numerous industries and sectors to maximize their ROAS. His agency, Clear Ads, now focuses purely on Amazon PPC and DSP advertising, helping deliver the best results for his clients. So with that introduction, welcome to the show, George.George 00:00:38  Thank you so much for having me, Josh. It's a pleasure.Josh 00:00:40  What are some of the what's a checklist that you should kind of go through and walk through to vet an agency that you're looking to have, do DSP for you?George 00:00:48  The first thing is don't go with Amazon. Right. But I'm sure they won't mind me saying this. Right. But actually they will. But I'm going to say anyway, Amazon's core strategy is to get you to spend as much money as possible. That's their KPI because that's how they get promoted.George 00:01:02  Right. So the way they treat your account is they go, hey, look at all these amazing impressions that you've got. Isn't that great? And as I said, you're like, hold on one step. Precious isn't really the key thing for us. Like we're trying to get. We're trying to we're trying to grow our business. Not not just increase our reach. So that's the big thing that they go with, especially with the slight uncertainty with attribution at the moment. It could look to to their favor. Right. That's the first thing. Now second, when you do go to an agency, the first step you should take is go onto Amazon's accredited partners page. Right. And check out DSP providers. So Amazon DSP providers just put stuff on Google. Go onto Amazon's page and there's a list of DSP providers. Right. So what you tend to find if you find any company. Right. If they're if they're if they are an official partner with Amazon, they will tend to have a partner badge somewhere which links straight to that page which shows you, hey, their official partner.George 00:01:58  Now, if they're not an official partner, they might be piggybacking off someone else's suit. Right. You don't want to get into that. Because if they're piggybacking off someone else's seat. Right. Let's just say there's some internal issues and they get kicked out of that seat. They no longer have access to your account. Who do you contact? Yeah. Who do? Who do you reach? You don't know. Right. So you want to make sure you've got someone who's got their own first thing. The second thing is, I'm sure every seller that's listening to this, they're savvy. They have a pool. An audience of other savvy sellers. Speak to them, find out who are they using that's doing DSP. That's working really well. Right. Get their first, first, first glance and say, okay, what's your experience been like? and ensure that they're happy with whoever it is. So they're the steps that I would recommend taking when trying to find a DSP agent. I would even go as far as ask them questions about the business.George 00:02:49  What's the purpose of the business? What are you looking to do? How big is it? How long has it been going? Is it? Is it a brand new business that's business. Me starting up for a bit and might not be there tomorrow. Yeah. Is it one that's been there for a while? Is it, you know, you want to you just want to really find out how many DSP, agents you have. How many of them are certified? how many have taken the exams? I would just do your due diligence. Ask those questions before it's too late, and then before you're stuck with someone.Josh 00:03:16  Yeah, I think that is foundation number one for sure. So I hope our listeners follow those best practices because it's true. You make this decision, and it's not like you could just change course after six months or a year. otherwise you're just starting from ground zero all over again. All right. Now let's jump into these strategies. Let's say you have found the right agency to work with.Josh 00:03:41  What's the first strategy you should be implementing with DSP?George 00:03:45  Yeah. So the first strategy is 100% remarketing. You want to you want it. You want to okay. No, n...

In this episode, Ella hosts Jason Fishman has he shares the pieces of his journey early career and how they make him the leader he is today. As co-founder and CEO of Digital Niche Agency, he's helped over 900 clients across major industries build and scale marketing engines that actually attract customers and investors. Jason's team has led more than 500 online capital and acquisition campaigns that have raised nine figures collectively, and he's seen firsthand what separates successful founders from those whose marketing efforts never quite get off the ground. He also discusses the current workday setting and the future of digital marketing.

Neal Bawa - Grocapitus and MultifamilyU On Using the Right Tools to Make Good Decisions: "I said, I'm going to mine as much data as possible and try to get insights from that data." Many investors use real estate investing as an investment vehicle in their portfolio.  Most of those investors are looking at their local real estate market and trying to find deals that can pump out the returns they want. But the world is smaller now, and real estate investing in your backyard is no longer necessary.  You can invest hundreds of miles away and possibly turn over a stronger margin.  The way to find the best place to invest, starts with gathering data and comparing places. Neal Bawa, known widely as the "mad scientist of multifamily," is the engineer turned real estate investor that combines his knowledge of real estate, data science, and artificial intelligence. Neal shares his unconventional journey from running a successful tech company to revolutionizing real estate investing through data-driven decisions and AI-powered tools. Neal weathered the housing crash of 2008, built a thriving syndication business and a free educational community at MultifamilyU. Listen as Neal teaches us how to be fascinated by real estate, curious about the AI revolution, and to seek new ways to scale and automate your business. Enjoy! Visit Neal at: https://multifamilyu.com/ Sponsors: Calls On Call Extraordinary Answering Service, phone answering for small businesses: https://callsoncall.com Some videos have been recorded with Riverside: https://www.riverside.fm/?utm_campaign=campaign_5&utm_medium=affiliate&utm_source=rewardful&via=james-kademan   Podcast Overview: 00:00 Bringing IV therapy to Madison 05:39 Navigating Franchise Regulations 07:47 IV therapy goes mainstream in Tokyo 12:50 Curated med spa offerings 14:44 Choosing Hydrate IV Bar for Madison 19:02 Starting with franchise questions 20:37 Building a Health-Focused Community 24:53 Benefits of Vitamin D Supplementation 27:55 Challenges with supplement patents 32:20 Functional medicine consultations at Hydrate 34:08 Patient advocacy and safe care 39:05 Frequency of sessions per week 41:33 Supplements and their credibility 47:04 Choosing the right location 48:42 Optimizing franchise location space 52:48 Hiring nurses for IV procedures 56:16 Spa services and mobile options Podcast Transcription: Neal Bawa [00:00:00]: We are currently at 1% of the data center needs that we have where humanity is going through the greatest change in its existence. Greater than the invention of the wheel, greater than the invention of fire, greater than the invention of the personal computer and the Internet put together. We have never seen anything of this Type. The smartphone wasn't even 1% of the AI revolution. And we think of the smartphone as the greatest invention of our times. It's nothing compared to AI. James [00:00:37]: You have found Authentic Business Adventures, the business program that brings you the struggle stories and triumphant successes of business owners across the land. Downloadable audio episodes can be found in the podcast link found@drawincustomers.com we are locally unwritten by the bank of Sun Prairie Calls On Call, Extraordinary answering service, the Bold Business Book as well as Live Switch. And today we're welcoming, preparing to learn from Neil Bawa of Growcapitus. I'm told, Neil, you are the mad scientist of multifamily. Is that true? Neal Bawa [00:01:10]: It's a moniker I present at many conferences. So I presented at over 101 of the times when I was walking up to the stage, they were announcing and talking about me. The announcer said, the mad scientists of multifamily. And that got a nice gasp out of the audience and I was like, I like this. And so the next year I went to the conference, he introduced me as a mad scientist. And then eventually I was like, people like this concept because it helps them understand that I'm data driven. I'm very AI focused. And so it's an interesting moniker. Neal Bawa [00:01:41]: I don't have the dark brown hair, but I mean that's how I roll. So I let it be and eventually it became part of our story. James [00:01:51]: That is incredible. So tell me the story. How did you end up with the moniker of the mad scientist of multifamily? That's not something people throw randomly around. Neal Bawa [00:02:00]: Yeah, so look, I'm not a real estate guy, not a real estate royalty. No one in my family is in real estate. I'm a technologist. I'm from India, came here as a computer scientist. Data science is my area of interest. I'm an amateur data scientist, but my degree is in computer science and I ran a tech company from 1999 to 2013. Very successful, not a start up, you know, hundreds of employees. And we sold it in 2013. Neal Bawa [00:02:28]: And my interest in real estate started when the senior partner in the firm, I was a junior partner, basically said in 2003, we are not going to rent, we are going to build our own campus. And this wasn't a multifamily campus at that time. It was an office campus for a business. And, you know, we had 150 employees, and we were renting from somebody. And he didn't like that. So he, under his guidance and his expert advice, I built the first campus in 2003. We took 12 months to build it. We had no investors. Neal Bawa [00:03:00]: We had no bank. It was just all cash. We built it ourselves because the business was quite profitable. At the end of that process, I realized just the extraordinary, shockingly high benefits that you get when you use depreciation, Right? Cause this big campus, 27,000 square feet, and I just all of a sudden was making. Taking a lot more money home. I wasn't making more money. I was just taking a lot more money home because the depreciation of that building was phenomenal. And that got me hooked into real estate. Neal Bawa [00:03:30]: Because at one time, I remember after that building was done, James, I remember saying to my wife, I think real estate is the best authorized tax scam in America. Now, obviously, I didn't know depreciation back then. I didn't understand accounting. Now I understand that there's nothing scammy about it. You know, depreciation is a legitimate right. And you take it for real estate. You can also take it for other things. But for real estate, it's. Neal Bawa [00:03:56]: It's extremely beneficial compared to any other form of depreciation, any other business. And so I realized that I, you know, I had the big fat tax salary, and I was living in Taxifornia, so I was basically working for the man. 50% of my salary was going to state and federal. And so I said, I need to find a way around this, because I read a book by Robert Kiyosaki, and I remember the statement, it's not what you make, it's what you keep. Right? And I was like, I ain't keeping much of my salary. So I was like, okay, I need to get into real estate. So I went back to my boss and said, you know, what we did with this campus was really great. Let's do it again. Neal Bawa [00:04:31]: And so we built a bunch more campuses. I think four or five campuses were built and improved coming up to 2008. And so each year, what would happen is I was keeping more and more of my income because of all the depreciation that I was getting. And so I was saving and saving and saving. And so I'd ended up with, you know, pretty large amount of money by the time 2008 hit. And then when that happened, all of a sudden, property values plummeted. They went down. And so I would go to, you know, my family events and everyone would just bash real estate. Neal Bawa [00:04:58]: Everyone's like, this is horrible. Don't buy real estate. It's horrible, horrible. It's going to crash. You know, it's worth nothing, blah, blah, blah. And you can imagine everyone was saying that because, you know, all the television, on the tv you're just hearing bad news, bad news. Every day it's bad news. It can only go down further. Neal Bawa [00:05:11]: You know, millions and millions of homes are in foreclos. And I'm like, I don't understand this. I don't understand. I mean, I'm from the Warren Buffett school of investing, which is, you know, when things are cheap, you buy them. So I'm like, but I don't want to make a mistake. You know, I have this money, this, that I've saved up over the last five or six years. I want to go out and buy as many single family homes as I can. But I don't want to make a mistake. Neal Bawa [00:05:34]: What if I'm just an idiot that knows nothing? So I decided that I would basically educate myself. And I did that in the typical way that, you know, technologists and engineers do. I said, I'm going to mine as much data as possible and try to get insights from that data. So I started mining websites like Bureau of Labor Statistics and Zillow and Trulia and Redfin and you know, all these other sites that realtor.com that you've heard about in the real estate area. And I'm mining gigabytes of data and putting them into a statistical analysis software called R. The software is R and statisticians know it. And you know what R does? It makes it easy for you to take huge amounts of data that you know nothing about and give you insights, right? These days, AI does it and it even does it better than the software. But back then there was no AI. Neal Bawa [00:06:23]: So the software would give you insights, it would give you correlation. So you could say something like, show me real estate profits that are made in this city and this city and this city and correlate that real estate profit with these various things that I'm looking at. What is the highest correlation? Is the correlation of profits highest to population growth or job growth or income growth or home price growth or crime reduction or schools. Where's the correlation? The connection? The biggest, right? And then based on that correlation,...

Vince Galloro is the Principal at Sunrise Health Communications, where he creates media relations, thought leadership, and corporate communications strategies for companies partnering with healthcare providers. In this episode, Vince shares insights into how healthcare companies can leverage press releases to generate earned media, his transition from journalism to healthcare PR, effective storytelling strategies, and the importance of data-driven press releases.Episode Timeline:1:40Vince's Transition from journalism to healthcare PR4:00Vince's favorite stories that he's covered6:15How journalism skills benefit PR strategies8:25Overview of Sunrise Health Communications11:50Common mistakes in healthcare PR messaging13:15Why clients sometimes screw up their own messaging14:25Tips on how to get earned media through press releases17:25Vince's quarterly press releases20:00Wall Street Journal hops on the story22:05WeatherBug's fantastic press release24:45Vince's thought leadership PhilosophyKey Takeaways:- Why press releases with strong data and visuals get top-tier media coverage- Relationships with journalists are crucial for healthcare PR success- Why being a journalist is a big help in PRThis episode's guest:• Vince Galloro on LinkedIn• Sunrise Health Communications on LinkedIn• Sunrise Health Communications' websiteSubscribe and leave a 5-star review: https://pod.link/1496390646Contact Us!•Join the conversation by leaving a comment!•Follow us on Facebook, Twitter, Instagram, and LinkedIn!Thanks for listening! Hosted on Acast. See acast.com/privacy for more information.

City leaders are on the front lines of data use, but most lack visibility into the federal data landscape, what's available, what's changing, and how federal policy decisions affect local outcomes. This gap delays emergency response, misdirects resources away from high-need neighborhoods, and undermines AI systems that depend on accurate data and community trust. Host Stephen Goldsmith speaks with Denice Ross,  Director of Federal Data Policy at the Federation of American Scientists, about the relationship between local and federal data, what city CDOs should prioritize, and why cities have untapped power to shape federal data policy. In this episode, you'll learn: The often-hidden relationship between local data needs and federal data infrastructure How to identify and access the federal data your city should be using Why now is the time to prepare for Census 2030 and protect funding How community participation in data decisions prevents disparities and builds legitimacy for AI systems How local data leaders can advocate effectively during federal policy windows Guest: Denice Ross –  Director of Federal Data Policy at the Federation of American Scientists; former United States Chief Data Scientist Listener Survey: bit.ly/datasmartpod Music credit: Summer-Man by Ketsa About Data-Smart City Solutions Data-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on LinkedIn.

When we first released this conversation, it was our 100th episode, a milestone that felt worth marking with something special. Now, 174 episodes later, it's clear why this one deserved a revisit.Host Hannah Munro is joined by Glenn Hopper, Author of Deep Finance and now Managing Director at VAi Consulting for a discussion that's only grown more relevant with time. With over 15 years of experience in the CFO seat, Glenn brings a grounded, practical perspective on what it really means to build a data-driven finance function, whether you're leading a startup or a global enterprise.In this episode, they explore:The different levels of data maturity within an organisation — and how to honestly assess where yours sitsHow finance teams can evolve into finance scientists, moving from reporting the past to shaping the futureWhy real-time data has become a non-negotiable for modern finance leadersThe practical steps to becoming a truly data-driven organisation

On this episode of Data Driven, hosts Frank La Vigne and Candace Gillhoolley are joined by hardware and open source expert Michael Makowski to discuss the shifting landscape of developer workstations and AI hardware. As Windows usage declines among developers and AI engineers, Linux is experiencing a surge in desktop adoption. Michael takes us inside the latest efforts to make Linux not just accessible, but enterprise-grade—sharing how his team is driving advancements in stability, reliability, and user experience for validated Linux hardware.We talk about the dramatic improvements in Linux desktop support, the importance of privacy and avoiding surveillance-driven proprietary systems, and the game-changing features coming to market—like automated system rollback and curated app installs. Plus, we explore the current state of gaming on Linux, the technical edge unified memory brings to AI development, and why companies are increasingly opting for supported, Linux-based workstations. Whether you're Linux-curious, rethinking your hardware choices, or just passionate about the future of developer tools and data engineering, this conversation will equip you for what's next.LinksMike's Company Website - https://kfocus.org/Mike's LinkedIn Profile - https://www.linkedin.com/in/michael-mikowski-7601393/Watch this show on YouTube - https://youtu.be/E03EObEa2lQTime Stamps00:00 Website security concerns and solutions05:03 Supporting KDE for long-term stability09:45 Desktop environment compatibility issues10:46 Conflicts in desktop environments15:07 AMD vs Intel & Nvidia Performance18:58 Showing the production site23:49 Steam's Linux runtime environment25:43 Running Windows games on Linux29:47 Concerns about software privacy issues33:31 Migrating from Windows challenges37:48 Setting up machine learning hardware41:31 Resolving system issues efficiently42:59 Setting up a VPN correctly47:40 Running VMs on alternative OS52:49 Upcoming OS Upgrade Details56:19 Rigorous testing and development process57:25 Tuning BTRFS for performance

In this episode, host Sandy Vance chats with Brad Schoffstall, Vice President of Health and Compliance Programs at CGI, and Dr. James Peake, Senior Vice President and former Secretary of Veterans Affairs and Army Surgeon General. They have a wide-ranging and practical conversation about what it actually takes to modernize data infrastructure at federal health agencies. With Brad's 35 years at CGI and Dr. Peake's 16 years, this is a conversation grounded in hard-won experience rather than theory. Today's conversation is a refreshingly honest and deeply practical perspective for anyone working at the intersection of government, healthcare, and AI.  In this episode, they talk about: Federal health agencies are running some of the largest healthcare operations in the world, with the VA equivalent in size to a Fortune 5 company Data silos created by contract-by-contract procurement are the primary barrier to AI-ready infrastructure at federal agencies Federated data platforms allow data to stay in its own repositories while being discoverable, mappable, and usable across the organization Policy is often the biggest obstacle to data sharing, and changing it requires executive-level support and shared governance Technology is the third most important factor in transformation; policy and business understanding come first and second CGI improved NHS Spine performance tenfold while reducing infrastructure to a tenth of its original size, saving a million euros in annual expenses Improper payments across federal health programs run into billions of dollars annually and represent one of the highest-impact areas for AI-driven improvement AI for AI's sake is not the answer; start with the business problem and work backward to the data strategy Start small with two or three systems, demonstrate value, and build from there rather than attempting a massive all-at-once implementation A Little About Brad and James: Brad Schoffstall has wide-ranging experience, deep knowledge, and skills in information technology. He has led multiple digital transformation efforts. He has 37 years of experience with a diverse set of architectures, operating systems, languages, and technologies. His experience includes enterprise architecture, cloud migration, and hands-on development. He also has significant experience in business development and project management. He has implemented large, complex systems on platforms ranging from mainframes to Microservices. He has successfully performed many solution architecture and SDLC engagements that include characteristics like high-volume processing, DevOps, and automation. He demonstrates expertise in multiple service-based secure architectures utilizing multiple application and enterprise solution sets, e.g., Data Driven, Microservices, Cloud, etc. Dr. James Peake is an American politician and former lieutenant general who served as the sixth Secretary of Veterans Affairs from 2007 to 2009. In 2004, he retired from a 38-year United States Army career, having served as the 40th Surgeon General of the United States Army. After retiring from the Army, Peake served as Executive Vice President and Chief Operating Officer of Project Hope,[4][5] a non-profit international health foundation operating in more than 30 countries. While at Project HOPE, he helped to orchestrate the use of civilian volunteers aboard the Navy Hospital Ship Mercy as it responded to the tsunami disaster in Indonesia and also as part of the Hurricane Katrina response aboard the Hospital Ship Comfort. Just before he was nominated Secretary of Veterans Affairs, Peake served as Chief Medical Officer and Chief Executive Officer for QTC, one of the largest private providers of government-outsourced occupational health and disability examination services in the nation. 

Durante años hemos construido BIM alrededor de una idea aparentemente incuestionable: el modelo es el centro del proyecto. Primero modelamos, después añadimos información y finalmente intentamos gestionar todo desde un único archivo cada vez más pesado y complejo. Pero ¿y si llevamos años haciéndolo al revés? En este episodio hablamos de BIM Data-Driven, bases de datos relacionales, APIs, ISO 19650 y soberanía del dato. Analizamos una propuesta que plantea separar la información de su representación geométrica y convertir el modelo BIM en un subproducto generado bajo demanda. ¿Estamos confundiendo modelo con archivo? ¿Debe la geometría seguir siendo la fuente de verdad del proyecto? ¿Tiene sentido seguir depositando toda la información en herramientas diseñadas para producir geometría? Un episodio sobre datos, gobernanza de la información y una idea que seguramente molestará a más de uno: quizá el verdadero activo nunca fue el modelo. Siempre fueron los datos. Bienvenido al episodio 207 de BIMrras! Contenido del episodio: 00:00 Introducción al episodio y planteamiento del debate 02:05 Presentación del enfoque Data Driven para BIM en plantas solares 04:30 El dato como origen del proyecto y la geometría como representación 18:00 Problemas de escalabilidad de los modelos BIM tradicionales 23:30 Inversión del flujo de trabajo: de los datos a la geometría 29:15 PostgreSQL y PostGIS como base de la gestión de información 35:10 Gobernanza de datos, contenedores de información e ISO 19650 50:10 ¿Puede este enfoque aplicarse a cualquier proyecto BIM? 57:30 Nuevos perfiles profesionales y arquitectura de la información 01:01:30 Soberanía del dato e independencia de las herramientas de autoría 01:04:50 IFC, separación entre datos y geometría e impacto de IFC 5 01:07:00 Conclusiones: ¿ha muerto el BIM modelocéntrico?

Optimize CLL and MCL care: experts discuss the latest data on sequencing and personalizing therapies across all lines of treatment to improve outcomes. Credit available for this activity expires: 06/12/2027 Earn Credit / Learning Objectives & Disclosures: https://www.medscape.org/viewarticle/chronic-lymphocytic-leukemia-data-driven-updates-first-line-2026a1000imb?ecd=bdc_podcast_libsyn_mscpedu

Brandon Myers, Head of Research at Novi Labs, shares insights on advanced energy analytics, machine learning forecasting and the US oil inventory landscape. Discover how innovative data-driven approaches are shaping the future of energy supply and exploration.

In this in-depth conversation, Professor J. Nathan Kutz — Director of Physics-Informed AI at Autodesk and one of the leading figures in data-driven modeling, dynamical systems, and scientific machine learning — shares his journey from academia to industry and reflects on how AI is reshaping engineering. Known for influential contributions to methods such as Dynamic Mode Decomposition and Sparse Identification of Nonlinear Dynamics, Kutz offers a rare perspective on the evolution of machine learning in the physical sciences, the role of physics in building trustworthy AI systems, and the future of automation, agents, and human expertise in engineering design.Key topicsHistory of machine learning in engineeringDynamic Mode Decomposition (DMD) and Sparse Identification of Nonlinear Dynamics (SINDy)Physics-informed AI and reduced order modelingThe debate between physics-based and data-driven modelsThe future of autonomous agents and their impact on industryPapersFlower discrimination by pollinators in a dynamic chemical environment — Jeffrey A. Riffell, Eli Shlizerman, Elischa Sanders, Leif Abrell, Billie Medina, Armin J. Hinterwirth, J. Nathan Kutzhttps://doi.org/10.1126/science.1251041Nathan's early move into neuroscience and data-driven biological modeling.Data assimilation and discrepancy modeling with shallow recurrent decoders — Yuxuan Bao, J. Nathan Kutzhttps://arxiv.org/abs/2512.01170Using ML to close the gap between simulation and reality.Discovering governing equations from data by sparse identification of nonlinear dynamical systems — Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutzhttps://doi.org/10.1073/pnas.1517384113The foundational paper introducing SINDy.On Dynamic Mode Decomposition: Theory and Applications — Jonathan H. Tu, Clarence W. Rowley, Dirk M. Luchtenburg, Steven L. Brunton, J. Nathan Kutzhttps://doi.org/10.3934/jcd.2014.1.391A key reference for Dynamic Mode Decomposition.Data-driven discovery of partial differential equations — Samuel H. Rudy, Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutzhttps://doi.org/10.1126/sciadv.1602614Extends equation discovery to PDEs and physical systems.Deep learning for universal linear embeddings of nonlinear dynamics — Bethany Lusch, J. Nathan Kutz, Steven L. Bruntonhttps://doi.org/10.1038/s41467-018-07210-0Connects deep learning with Koopman theory.Articraft: An Agentic System for Scalable Articulated 3D Asset Generation — Matt Zhou, Ruining Li, Xiaoyang Lyu, Zhaomou Song, Zhening Huang, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi, Shangzhe Wuhttps://arxiv.org/abs/2605.15187Project page: https://articraft3d.github.io/A practical example of agentic AI for engineering design.Chapters00:40 Introduction to Episode05:00 Welcoming Prof Kutz10:34 The Evolution of Data-Driven Modeling16:13 Understanding the SINDy Algorithm and Its Implications22:14 Comparing Reduced Order Modeling and Modern Machine Learning28:29 The Role of Data in Machine Learning and Physics34:23 Challenges in Extrapolation and Real-World Applications40:46 Insights from McLaren and Team Dynamics46:07 The Shift from Academia to Industry48:53 Collaboration and Innovation in Engineering51:57 The Role of Human Expertise in Design54:45 Leveraging AI in Formula One57:32 The Future of AI and Workforce Dynamics59:06 Navigating Career Choices in a Changing Landscape01:03:02 The Evolution of Thought in Engineering01:09:06 Preparing for the Future of Technology01:14:04 Responsible Use of AI in Engineering

What if the “scary” short-term rental market you keep hearing about is actually one of the best opportunities you'll see in the next decade—especially if you're willing to get smart with your data? Most investors are backing out due to market noise; my guest today used engineering logic to lean in and build a highly resilient portfolio.In this episode, I'm joined by returning guest Sandy Lee, an engineer-turned-investor who built a multi-market STR portfolio in her 50s. We're talking about grounding big brave moves in math rather than hype, and why right now is a powerful time to buy if you know how to stress-test a deal.We dive into:How Sandy spent eighteen months analyzing her first deal, using spreadsheets to move past analysis paralysis and into confident action.Sandy's exact system for connecting AI directly to her property management software to run pacing analyses, build dashboards, and generate plain-language summaries twice a week.How to look beyond standard calculators to find hidden market catalysts—like shifting local regulations, nearby airport expansions, or reopening ski hills.Why pricing for momentum instead of ego out of the gate is critical in highly seasonal markets, and why professional photography remains non-negotiable.Overlooked pathways into the industry for hesitant investors, including house hacking, accessory dwelling units (ADUs), and strategic co-hosting partnerships.But this isn't just about running analytics. It's about the line between smart investing and pure speculation. We pull back the curtain on how to ensure your baseline numbers work on day one while still positioning your portfolio for massive long-term growth. You'll hear real examples from competitive markets like Steamboat, Orange Beach, and the mountains of North Carolina, proving that data and deep local research are the ultimate risk mitigation tools.If you've felt hesitant to scale or buy your next property in an uncertain economy, this conversation will completely reframe your perspective. Get ready to zoom out, trust the math, and build a business that supports the life you actually want to live.HIGHLIGHTS AND KEY POINTS:[01:06] A short introduction about our guest Sandy Lee and her reflection on how a major career transition in her 50s, pushed her to explore short-term rentals[03:09] Sandy shares about the use of data and AI to build confidence and simplify decision-making in short-term rentals[05:57] Sandy and I discuss how AI has evolved beyond simply analyzing data to becoming a strategic business partner [09:44] Sandy explains why she believes now remains an attractive time to invest in short-term rentals despite recent industry challenges [11:42] Sandy and I discuss the many ways investors can build a diversified real estate portfolio, emphasizing that there is no single path to success [13:11] Sandy's approach to finding investment “magic” beyond the data to anticipate future market growth [19:56] How to identify emerging opportunities by paying attention to large-scale developments, infrastructure projects, and long-term regional shifts that may signal future growth in a market[24:09] Sandy's approach to balancing conservative underwriting with strategic, forward-looking real estate investment decisions[25:43] The importance of timing in real estate acquisitions is highly situational and ultimately comes down to the underlying numbers and the investor's financial flexibility[29:54] Sandy and I discuss two critical components of a successful short-term rental launch: professional photography and strategic pricing [32:52] the importance of intentional pricing strategy at launch, particularly in the context of property management and co-hosting relationships [34:46] Sandy's perspective on overlooked short-term rental opportunities that help investors move past fear and re-enter the market strategically[37:13] Sandy's breakdown of the ownership and operations paths in short-term rentals, and how co-hosting creates flexible entry and exit options [39:09] The lightning round Golden Nuggets:“If I start to get anxious and if things start to seem scary, I'll back down into a spreadsheet, and I'll think really hard about it, and I'll look at all of the numbers. It has got to make financial sense.”“If you don't have money to invest in property right now, starting out co-hosting is a fabulous way to get your feet wet, earn that cash flow that you can eventually invest in the real estate asset.”“Do the big scary thing that you're afraid of. I mean, that's the best piece of advice. What's the worst thing? Figure out what the worst thing that could happen is, and work yourself through it, and do it anyway.”Let's Connect:Instagram : https://www.instagram.com/strjumpstart/Website : https://www.strjumpstart.com/ Enjoyed the show? Subscribe, Rate, Review, Like, and Share!

What if your biggest mattress sale strategy is actually scaring away Gen X buyers with the most money? The data says it's true. Here's why.Are your mattress marketing tactics stuck in the past? In this episode, Mark Kinsley sits down with Nicole Bergen of Elevate—one of the sleep industry's top consumer research experts—to reveal the hidden disconnect between what retailers think works and what actually matters to today's most powerful buyers: Gen X.Nicole shares eye-opening data from thousands of consumer interviews, exposing why relentless discounting and “NASCAR” promos don't work on shoppers aged 45-55. Instead, assurance and trust—like comfort guarantees and real customer reviews—win the sale. You'll learn why most brands overlook Gen X, despite their massive buying power, and how failing to update your playbook means losing sales to online giants.Ever wondered why your brand awareness is high but conversions are low? Nicole decodes the essential marketing funnel—attention, education, offer—and reveals the number one mistake retailers make (and how you can fix it with a simple brand health “timeout”).If you've ever struggled to connect with skeptical, research-driven customers or feared you're wasting ad dollars, this episode gives you the playbook to pivot. Plus: actionable tips for leveraging data, optimizing for generative AI, and turning happy buyers into raving ambassadors.Timestamps:- 01:35 – The hidden problem with mattress marketing: why Gen X tunes out- 04:30 – How relentless promos are killing in-store joy (and trust)- 06:58 – The power of assurance: Why guarantees beat discounts for big-ticket buyers- 09:40 – “Top of funnel” secrets: What attracts attention in 2024- 12:50 – Why your ad recall is broken (and how to fix it)- 17:55 – The market-by-market myth: Why what works in Cincinnati fails in Houston- 21:15 – The “Timeout Playbook” for brand clarity (and avoiding costly mistakes)- 27:40 – Data traps: The ROAS lie and how to spot media waste- 31:20 – Unlocking Gen X: Winning strategies for the new power buyer- 36:45 – Problem-agitate-solution: Messaging that turns skeptics into buyersConnect with The FAM Podcast:

In this episode of Data Driven, we're diving into the rapidly evolving world of agentic AI—where autonomous AI agents collaborate, communicate, and occasionally collide. Our guest, Vlad Luzin, co-founder and CTO of Band, joins us to explore the technical challenges and real-world implications of building collaboration layers for agents that act like distributed, non-deterministic microservices. We'll unpack the myths and realities surrounding orchestration, governance, and security, and discuss how enterprises can operationalize these agent ecosystems safely. Tune in as we share lessons learned, amusing engineering mishaps, and get a glimpse of what the future holds as agents become everyday colleagues in the digital enterprise.LinksVlad's LinkedIn Profile -https://www.linkedin.com/in/luzin/Watch this episode on YouTube -https://youtu.be/MZztFagEX_EBand Website -https://www.band.ai/Band Docs -https://docs.band.ai/Time Stamps00:00 Explaining orchestration in tech03:42 Understanding models and harnesses09:38 Misconceptions about A2A communication10:41 Understanding multi-agent systems16:18 Observability for distributed systems18:54 Agent communication and collaboration24:28 Unauthorized agent interactions25:49 Remote agent collaboration ideas28:54 How foundational AI models communicate33:20 Agent communication protocols overview35:39 Discussing tech standards and AI velocity40:53 Learning to Work with AI Agents42:41 Using Band AI tools

Most TA leaders are measuring the wrong things. Victor Gaines has spent 20 years fixing that.As AVP of Talent Acquisition at Wellstar Health Systems, where his team hires 14,000+ people annually, Victor has led recruiting innovations across healthcare, fintech, food service, and media.In this conversation, he shares the real work behind two of his proudest career wins: cutting turnover by 60% at Comcast using a validated assessment tool, and rebuilding clinical hiring at Aveanna from scratch during COVID by going fully digital and improving efficiency by 200%.But none of it works if you're solving the wrong problem.Listen in as Victor breaks down how to identify what your business actually needs, why most TA dashboards are "decoration," and how to build the credibility that earns you a seat at the table.Key Takeaways:[01:59] What shaped Victor's approach to solving TA problems at scale.[04:25] How a validated assessment at Comcast reduced turnover by 60%.[08:10] Building a fully digital hiring engine at Aveanna during COVID.[13:32] The framework Victor uses to identify business priorities.[18:51] The ‘5 Whys' to identify the root cause of business pain.[20:40] How a phased adoption strategy is making Phenom CRM stick at Wellstar.[25:39] How to safeguard your priorities and say no without being seen as difficult.[29:00] ROI, sunk cost fallacy, and smarter HR tech decisionsResources Mentioned:Victor Gaines: LinkedInRyan Dull: LinkedIn | ryan.dull@sagemarkhr.comWellstar Health SystemAveanna HealthcarePhenomICIMSHighMatchParadoxWorkday USIdeas Worth Sharing:"You can spend millions of dollars trying to solve the wrong problem. Once you understand the problem, your success becomes much easier." - Victor Graines“You also have to know where the real issues often are. And I think… 80+% of the time, it's something in the business. It might be comp. It might be hiring managers not doing the right thing…  And you find power in finding the truth and then speaking truth.” - Victor Graines“Having a meaningful strategy gives you leverage for saying yes where you need to say yes, and no where you need to say no.” - Victor GrainesAbout Victor Gaines:Victor P. Gaines, II is the AVP of Talent Acquisition at Wellstar Health System, where his team manages over 14,000 hires annually. With nearly two decades of executive TA experience across healthcare, fintech, telecommunications, and consumer goods, he has led high-volume recruiting transformations at companies including Comcast, Fiserv, Cigna, Aveanna Healthcare, and Papa John's. He holds a B.S. in Psychology from the University of Kentucky and a Master's in Organizational Psychology from St. Joseph's University.This episode is brought to you by SageMark HR.SageMark HR can help you:✔ Improve your talent practices and make better, more informed people decisions.✔ Identify opportunities to improve your talent practices and deliver tangible business results.✔ Bridge the gap from "traditional" to modern recruiting, without the painful learning curve.Learn more at www.sagemarkhr.com#Talent #Recruiting #HRTech

Imagine waking up to find a thousand AI agents silently making decisions across your company—and no one knows exactly what they're accessing.In this episode of Data Driven, hosts Frank La Vigne and Andy Leonard sit down with Ron Longo, CEO of Trustlogix, to explore the evolving landscape of AI governance, security, and data engineering. As enterprises race to integrate AI at unprecedented speed, the noise and confusion have never been greater. Ron Longo unveils the concept of the AI control plane with a "kill switch," discusses the real-world challenges of securing both human and non-human agents, and explains why classic best practices—like least privilege and prompt engineering—are more important than ever in an era where machines operate at breakneck pace.Join us as we dive into how Trustlogix keeps enterprise data safe, why innovation must balance with protection, and what it takes to build systems resilient enough for the next wave of AI-driven change. Whether you're a data engineer, business leader, or just AI-curious, this episode brings practical insights and lively stories from the front lines of AI governance.LinksRon's LinkedIn profile -https://www.linkedin.com/in/ronlongo/TrustLogix Web site -https://www.trustlogix.ai/TheDingo -https://www.thedingo.ai/Time Stamps00:00 Managing data security threats05:08 Developing the kill switch concept07:20 Enforcing least privilege access12:43 AI communication challenges and best practices15:40 Revoking agents and data access19:25 AI kill switch for security22:00 Managing data access with control plane25:59 Applying AI to complex environments29:45 Discussing data engineering basics32:16 Language experts' unique advantage33:49 Creating an app with Claude AI37:09 Balancing AI and security in enterprises43:43 AI's impact on job roles44:51 Learning from Air Force RFP

In this episode of The Ross Simmonds Show, Ross breaks down why stepping away from the grind isn't falling behind but a strategic advantage. Backed by research and real-life perspective, he shows how rest, presence, and intentional time off can actually fuel better performance, creativity, and long-term success. This is a must-listen for founders, marketers, and creators playing the long game. Key Takeaways and Insights: 1.  The Founder's Dilemma: Grind vs. Presence - Internal conflict between business demands and personal life - Why many founders feel guilty stepping away - The long-term cost of always being “on” - Reframing rest as a strategic decision 2. The Hidden Cost of Hustle Culture - 72% of entrepreneurs report mental health challenges - Overworking increases risk of stroke and heart disease - Long hours may correlate with success—but also burnout - Why “more work” isn't always the smartest path forward 3. The Science of Creative Breakthroughs - The “incubation effect” and how ideas form during rest - Why low-effort activities unlock better thinking - Real-world examples of breakthroughs away from the desk - How to structure downtime for maximum creative output 4. Why Time Off Drives Better Results - People who take vacations are more likely to earn raises - Rest improves decision-making and cognitive performance - The ROI of unplugging from work - How to think about rest as an investment, not a reward 5. Relationships Are the Ultimate Growth Strategy - 85-year Harvard study on happiness and longevity - Strong relationships outperform traditional health metrics - Loneliness as a hidden risk factor for founders - Why connection is a key part of sustainable success 6. Escaping the Founder Identity Trap - Why tying identity solely to business is dangerous - Stories of founders feeling lost after exit - The importance of building a multi-dimensional identity - How diversifying your identity strengthens resilience —

In this episode of Atlanta Business Radio, Lee Kantor interviews Doug Sullinger, CEO and founder of Baizel AI. Sullinger explains how Baizel AI uses AI and large-scale property data to modernize commercial real estate site selection. The platform helps investors, brokers, developers, and franchise operators quickly evaluate any property across the U.S. by analyzing factors […]

Toxicities related to antibody-drug conjugates (ADCs) can significantly impact quality of life for patients with locally advanced or metastatic bladder cancer, but data-driven programs can help multidisciplinary teams manage some of the most challenging adverse events. In this episode, CANCER BUZZ speaks with Cindy Y. Jiang, MD, assistant professor at MD Anderson Cancer Center, about how her institution conducted and implemented research to aid management of rashes and peripheral neuropathy associated with the ADC enfortumab vedotin combined with pembrolizumab. Guest:  Cindy Y. Jiang, MD Assistant Professor Department of GU Medical Oncology MD Anderson Cancer Center Houston, TX "It's important to assemble this team before you start on any sort of journey, because as oncologists, we're definitely not experts in skin rashes or neurological issues, and so you really need to rely heavily on those collaborators." — Cindy Y. Jiang, MD Resources: Bladder Cancer Antibody-Drug Conjugates

If your firm is still waiting for the RFP to show up before getting serious about winning the work, you are already behind. Katie Cash chats with Noel Brady, Co-Founder and COO of ProjectMark, the CRM built specifically for the architecture, engineering, and construction industry. They talk about what it actually takes to build a firm that grows with intention. Noel challenges the deeply ingrained belief that winning work is about personal relationships alone and makes the case that sustainable growth requires systematizing those relationships so they become a firm-wide asset rather than a liability that leaves when a key person leaves. From pipeline conversion ratios to the go/no-go decisions firms get wrong, this episode is an honest guide to replacing gut instinct with clean, actionable data. Noel and Katie also dig into the cultural and behavioral shifts that distinguish firms that merely talk about being data-driven from those that actually do it. If your firm is ready to stop reacting and start leading, this episode is the place to start.•        AEC business development•        CRM for AEC firms•        architecture engineering construction marketing•        AEC firm growth strategy•        go/no-go decisions AEC•        pipeline conversion ratio•        data-driven AEC•        seller doer AEC•        project pursuit strategy•        RFP strategy architecture firmsConnect with Noel Brady, Co-Founder & COO, ProjectMarkLinkedIn: https://www.linkedin.com/in/noel-brady-mscsi-mrics-aaaa4547/ProjectMark: https://www.projectmark.com/Connect with Katie:  https://www.linkedin.com/in/kacash/https://smartegies.com/ Rate, Review, & Follow on Apple Podcasts:We hope you're finding value in our AEC Marketing For Principals.  Your feedback is important to us and we'd love to hear from you. Here's how you can help.  Scroll to the bottom, rate our podcast with five stars, and select “Write a Review.”  Let us know what you found most helpful from this episode!  And if you haven't done so already, give the podcast a follow, and you'll be notified when new episodes come out.

As we launch season 10, your favorite semi-sentient British AI co-host returns to the microphone alongside Frank La Vigne for a compelling exploration of what it truly means to be a data-driven organization. In this episode, Frank sits down with Sebastian Wernicke, author of "Data Inspired" and renowned expert in data and AI strategy, to discuss why turning data into action remains a formidable challenge for so many organizations.Together, they dive into the enduring gap between data insights and meaningful change, the crucial role of leaders in fostering cultures of evidence and inquiry, and why technology alone won't move the needle without the buy-in—and sometimes the irrationality—of humans. From the evolution of data culture and the pitfalls of management by numbers, to the psychological barriers that lead to "data frustration," this episode offers a candid, nuanced look at the real obstacles standing in the way of better decisions.LinksSebastian Wernicke on LinkedIn - https://www.linkedin.com/in/wernicke/Watch this episode on YouTube - https://youtu.be/2qP4p0YKxI8Data Inspired (affiliate link) - https://amzn.to/4xkCuBVTime Stamps

Send us Fan MailEvery company today says it's data-driven.Billions are spent on analytics. AI pilots are everywhere. Dashboards glow with real-time metrics.And yet, only a small fraction of organizations actually transform.In this episode of FUTUREPROOF., I sit down with Sebastian Wernicke — author of DATA INSPIRED: Building an Organizational Culture of Inquiry for Lasting Transformation—to unpack why.Sebastian argues that the problem isn't a lack of data. It's a lack of inquiry.Most companies use data to optimize what already exists. Few use it to question assumptions, rethink business models, or challenge leadership narratives. That's the difference between being data-driven and being data-inspired.We explore: Why data doesn't “speak for itself”  How organizations become excellent at staying the same  The dangers of data-resistant minds  Why psychological safety is foundational for real AI success  What “radical data integrity” actually requires  And how to navigate AI's “jagged frontier,” where human judgment still matters This isn't a conversation about tools; it's about whether your culture is equipped to learn — especially when the evidence is uncomfortable.Because AI won't transform your company. It will amplify whatever culture you already have.

Today on the Uplevel Dairy Podcast, Manny Salcedo, founder of the Dairy Performance Network (DPN), discusses how modern dairy management has shifted from simply managing cows and people to managing overwhelming volumes of data from multiple on-farm systems. Drawing on his background working on dairies and later founding DPN, he explains their consulting work and its tools, including Ida, an AI-driven application that lets farmers ask questions about KPIs, health events, reproduction, and predictive culling. And find out what Manny believes it will take for today's dairy managers to turn information into action through the power of AI and automation.This episode is brought to you by the Dairy Performance Network (DPN).DPN - Connecting people, cows, and technology. Learn more at Dpnconnect.com & dairystash.com00:00 Data Driven Dairy01:48 What DPN Builds03:20 Too Much Data04:52 Ida AI Assistant06:02 From Dashboards to Actions07:18 Why Manny Built This11:38 Pilot Farms, Real Questions13:20 Voice Commands Automation17:42 Future Integration Wave20:19 Next Gen Manager Skills

In this discussion, Jason Hartman and Michael Zuber emphasize that direct residential real estate is the most historically resilient asset class, particularly during periods of high interest rates. By analyzing 54 years of market data, they argue that while transaction volumes may drop when rates rise, home prices rarely collapse due to limited supply and consistent demand. They contrast this stability with the current volatility in commercial and multifamily syndications, where many investors are losing money because of risky debt structures and high management fees. Hartman stresses the importance of maintaining control over investments to avoid the pitfalls of dishonest or incompetent fund managers. He concludes that leveraged rental properties outperform other assets like gold or stocks over the long term. Consequently, Jason and Michael urge individuals to build wealth by buying and managing their own properties rather than participating in passive investment deals. Key Takeaways: 0:00 Profiling the incredible value of real estate 10:44 Brandon Turner and multi-family property debt 17:26 Gold price history   _______________________________________________________________ Follow Jason on TWITTER, INSTAGRAM & LINKEDIN Twitter.com/JasonHartmanROI Instagram.com/jasonhartman1/ Linkedin.com/in/jasonhartmaninvestor/ Call our Investment Counselors at: 1-800-HARTMAN (US) or visit: https://www.jasonhartman.com/ Free Class:  Easily get up to $250,000 in funding for real estate, business or anything else: http://JasonHartman.com/Fund CYA Protect Your Assets, Save Taxes & Estate Planning: http://JasonHartman.com/Protect Get wholesale real estate deals for investment or build a great business – Free Course: https://www.jasonhartman.com/deals Special Offer from Ron LeGrand:        _______________________________________________________________   Follow Jason on TWITTER, INSTAGRAM & LINKEDIN Twitter.com/JasonHartmanROI Instagram.com/jasonhartman1/ Linkedin.com/in/jasonhartmaninvestor/ Call our Investment Counselors at: 1-800-HARTMAN (US) or visit: https://www.jasonhartman.com/ Free Class:  Easily get up to $250,000 in funding for real estate, business or anything else: http://JasonHartman.com/Fund CYA Protect Your Assets, Save Taxes & Estate Planning: http://JasonHartman.com/Protect Get wholesale real estate deals for investment or build a great business – Free Course: https://www.jasonhartman.com/deals Special Offer from Ron LeGrand: https://JasonHartman.com/Ron Free Mini-Book on Pandemic Investing: https://www.PandemicInvesting.com

Welcome to WWE WAR: Wrestling Above Replacement, where WWE history meets hard numbers. JT, Marcus, and Producer Tim continue their deep dive into the 2007 WWE PPV season with a full statistical breakdown of WWE SummerSlam 2007—one of the biggest events of the year and a cornerstone of WWE's annual calendar. Using the WWE WAR formula, every match is evaluated based on in-ring quality, star power, card structure, and overall event impact. With marquee matchups, championship stakes, and major storyline progression, SummerSlam presents a critical checkpoint in the WAR rankings. How does this blockbuster show perform when the numbers are applied? Does SummerSlam 2007 live up to its reputation as WWE's biggest event of the summer? And where will it land among the greatest WWE pay-per-views of all time?

From Profit21 and ERP consolidation to AI-powered knowledge capture, Renata Morgan shares how modern distributors are evolving beyond "the way we've always done it." What happens when one of the biggest names in HVAC manufacturing invests in independent distribution? A new entity emerges, swiftly followed by conversations around safeguarding the distributor's company culture, autonomy, and institutional knowledge. Jason connects with Renata Morgan, president of Rheem Northeast Distribution (RND), a collection of four manufacturer-owned distributors, to learn more about Rheem's foray into this side of the channel. They discusses innovating under an established brand umbrella, retaining critical process knowledge as experienced employees retire, and giving back to the professional community. MENTIONED IN THIS EPISODE Applied AI for Distributors 2026 HARDI BLUE HAWK Epicor Prophet21 RECOMMENDED EPISODES Agentic AI and the Future of Distribution with Ian Heller of Distribution Strategy Group CONNECT WITH JASON LinkedIn CONNECT WITH RENATA Rheem Northeast Distribution LinkedIn *** Distribution Talk is produced by The Distribution Team, a consulting services firm dedicated to helping wholesale distribution clients remove barriers to profitability, generate wealth, and achieve personal goals.    This episode was edited by The Creative Impostor Studios  Special thanks to our sponsors for this episode: Motivate, the #1 Distributor AI Automation Platform. Mention Distribution Talk for 50% off of installation. INxSQL Distribution Software, integrated distribution ERP software designed for the wholesale and distribution industry. Connected Peers, connecting key employees in distribution's leading organizations.

Emily Oster, CEO of ParentData, mom of two, economics professor, author of Expecting Better, Crib Sheet, and The Family Firm, joins The Mom Room this week to discuss how data-driven parenting is needed in today's online world full of flashy headlines and anxious parents. As an economist focused on social policy, Emily dives into research around TTC, pregnancy, and parenting, and interprets studies through a thoughtful, nuanced lens. She shares with Renee her findings about breastfeeding, jumpstarting labor, screen time, extracurricular activities, bed rest, and more. If you're a parent trying to keep up with the ever-changing information online and find themselves googling at 2am "what are the effects of ____ on my child?" - this episode is for you!FOLLOW EMILY@profemilyosterParentdata.orgTHANK YOU TO OUR SPONSORS!Quince - Refresh your spring wardrobe with Quince. Go to Quince.com/MOMROOM for free shipping and 365-day returns. Now available in Canada, too.Wayfair - Get prepped for patio season for way less. Head to Wayfair.com right now to shop all things home.Little Spoon - Try Little Spoon Formula with their 2 can trial pack (Buy 1, Get 1 free - that's $30 for 2 cans), which is great if you're easing into the transition. That's LittleSpoon.com/TRYFORMULATime4Learning - Curious if Time4Learning is right for your family? Visit time4learning.com to explore their curriculum and find the perfect plan for your student. You can get started with a monthly subscription to see just how much your kids enjoy learning on their own terms.BioOptimizers - If you're ready to feel more rested, head to https://bioptimizers.com/momroom and use my exclusive code MOMROOM to get 15% off any order. Perelel - New customers can use code MOMROOM and get 20% off your first order at perelelhealth.com/momroom. Merit Beauty - Right now, Merit Beauty is offering our listeners their Signature Makeup Bag with your first order at meritbeauty.com.Skims - Shop Everyday Cotton, and all of my favorite bras and underwear at http://www.skims.com/momroom #skimspartnerFOLLOW RENEE REINA Instagram: @themomroom | @thereneereina TikTok: @thereneereina Facebook Community - The Mom Room Community YouTube: Renee Reina - The Mom Room PodcastSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The weight room isn't just a place to build muscle. It's a battlefield where psychology meets physical adaptation — and most coaches are losing because they're coaching numbers instead of people. Dr. Justin Lima joins Dave Tate at the elitefts compound to dismantle the myth of "optimal" training and explain why giving athletes a stimulus they aren't prepared for can rob them of long-term development. From scaling Strength Coach Network to his PhD research on reactive force development, Lima connects elite-level sport science with the reality of coaching in the trenches. INSIDE THE EPISODE: • Why coach-to-athlete communication is disappearing in favor of technology • The "Robbing Twice" principle and how advanced methods can ruin future adaptation • Using HRV and readiness metrics as conversation starters — not command centers • The political realities of collegiate strength coaching vs. private sector performance • How to transition from institutional coaching to business ownership • Implementing max effort methods in team sports without wrecking practice schedules ABOUT DR. JUSTIN LIMA: Dr. Justin Lima, PhD, is the President & CEO of Strength Coach Network and a veteran high-performance consultant with nearly 20 years of experience across the B1G, ACC, and Ivy League. He has helped develop: • 30+ NFL Draft Picks • Multiple Super Bowl Champions • Coaches and practitioners across every level of sport His work focuses on translating complex sport science into practical coaching systems that actually work under pressure. Become an elitefts channel member for early access to Dave Tate's Table Talk podcast and other perks. ➡️ @eliteftsofficial SUPPORT DAVE TATE'S TABLE TALK: FULL Crew Access https://www.elitefts.com/join-the-crew Limited Edition Apparel https://www.elitefts.com/shop/apparel/limited-edition.html Programs & More https://www.elitefts.com/shop/dave-tate-s-table-talk-crew.html TYAO Application https://www.elitefts.com/dave-tate-s-tyao-application BEST-SELLING ELITEFTS PRODUCTS: Pro Resistance Training Bands https://www.elitefts.com/shop/bands.html Specialty Barbells https://www.elitefts.com/shop/bars-weights/specialty-bars.html Wraps, Straps, Sleeves https://www.elitefts.com/shop/power-gear.html SPONSORS: Get an extra 10% OFF at elitefts (CODE: TABLE TALK) https://www.elitefts.com/ Get 10% OFF Your Next Marek Health Labs (CODE: TABLETALK) https://marekhealth.com/tabletalk Get a free 8-count Sample Pack of LMNT's most popular drink mix flavors http://www.drinklmnt.com/tabletalk Support Massenomics! https://www.massenomics.com/ Save 20% on monthly, yearly, or lifetime MASS Research Review (CODE: ELITEFTS20) https://massresearchreview.com/ Get 10% OFF RP Hypertrophy App (CODE: TABLE TALK) https://rpstrength.com/pages/hypertrophy-app  

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