Podcasts about Predictive analytics

Welcome to a fascinating exploration of the hidden legal battles shaping tomorrow's technology. Predictive algorithms have become the crystal balls of modern business, forecasting everything from home prices to healthcare costs, but they're also becoming the center of high-stakes courtroom dramas worth hundreds of millions of dollars.Across the globe, from Texas courtrooms to China's Supreme People's Court, judges and juries are answering a profound question: who owns the right to predict the future? The House Canary v. Amrock case resulted in a staggering $600 million verdict over real estate valuation algorithms, while Alibaba secured a 30 million RMB judgment against a company that allegedly scraped its predictive marketing tools. Even industrial applications aren't immune, with companies like Shen Group successfully protecting predictive design software for machinery components.What makes these cases particularly compelling is how they're redefining intellectual property law. Courts are now recognizing that AI model weights, the mathematical parameters tuned during training, qualify as protectable trade secrets. Data pipelines, prediction engines, and algorithmic structures have all received similar protection. The real drama often unfolds when employees change companies, raising thorny questions about what constitutes general expertise versus proprietary knowledge that belongs to the former employer.Healthcare prediction presents especially valuable territory, with ongoing battles between companies like Qruis and Epic Systems, or Milliman and Gradient AI, demonstrating how patient data forecasting creates immensely valuable intellectual property. Whether it's forecasting home values on Zillow or optimizing Medicare billing, these predictive tools aren't just convenient features, they're corporate crown jewels worth protecting at almost any cost.Ready to dive deeper into the invisible rules governing innovation? Subscribe now and join us as we continue to decode the legal frameworks shaping our technological future. The algorithms may predict tomorrow, but who gets to own those predictions? That's what we're exploring on Intangiblia.Get the book!Send us a textSupport the show

Welcome to this episode of Ditch the Lab Coat, hosted by Dr. Mark Bonta—a show where curiosity meets science and skepticism, all in the name of practical healthcare innovation.This week, we tackle a problem plaguing healthcare systems across Canada (and beyond): the painfully long wait times to see a dermatologist, especially when it comes to skin cancer. Our guest is Mike Druhan, President of Dermatology Services at MedX Health. Mike is on a mission to save lives by closing the gap between a suspicious mole and a potentially life-saving diagnosis.Together, Dr. Bonta and Mike explore the bottlenecks of Canadian healthcare, the trust required for new technologies to be accepted, and the real-world journey of bringing evidence-based digital solutions—like secure skin imaging and teledermatology—to market. You'll hear the candid realities behind innovation in medicine, the hurdles of building clinician confidence, and why access—not just technology—can be the biggest lifesaver of all.Plus, Mike shares eye-opening stories from the field, including how a routine golf outing and a sharp eye led to an early melanoma diagnosis that made all the difference for a patient. If you've ever wondered why game-changing ideas in medicine can take so long to become reality—or how technology can help us fight diseases hiding in plain sight—this conversation is for you.Plug in, enjoy, and get ready for a deep dive into the art and science of making innovation practical, trustworthy, and patient-centered.Episode HighlightsTrust Drives Healthcare Adoption — Healthcare innovation only moves as fast as stakeholders trust new systems and tech, making trust central to successful adoption.Early Detection Saves Lives — Catching skin cancer at the earliest stage dramatically improves outcomes and reduces treatment costs and patient suffering.Access Is a Critical Barrier — Long wait times to see specialists like dermatologists can be deadly; smart solutions must address these systemic access issues.Tech Complements, Not Replaces — Innovative tools are designed to support, not substitute, specialists—helping prioritize urgent cases and manage the patient queue.Design for Clinical Reality — Successful tools require clinician input, regulatory compliance, and clear workflow integration to earn real-world adoption.Iterate with Frontline Feedback — Regular collaboration with diverse healthcare professionals refines questions, workflows, and builds essential clinical buy-in.Evidence First, Hype Later — Robust evidence and pilot programs—rather than flashy promises—pave the path for credible healthcare innovation.AI Is an Assistant, Not Judge — AI is best used as a double-check for clinicians, enhancing accuracy but not replacing expert human decision-making.Economic Incentives Matter — Insurers and employers increasingly see the financial sense in proactive screening and early intervention for high-risk groups.Human Factor Still Critical — Even with tech, “right place, right time” expert intervention can make the difference between early cure and late-stage tragedy.Episode Timestamp03:59 – Canadian Healthcare Access Challenges 09:40 – Dermatology Digital Patient Platform Development 13:25 – Trust Barriers in Healthcare Innovation 15:57 – Dermatology Investment Collaboration Insights 19:05 – Prioritizing Urgent Pathology Reports 22:54 – Dermatology: Ownership and Patient Insights 24:19 – Dynamic Approach to Skin Cancer Tracking 28:38 – Early Detection through Stool Testing 32:56 – Canada's Dermatology Shortage and Insurance Solutions 33:38 – Predictive Analytics in Workplace Safety 37:07 – AI-Assisted Skin Cancer Detection 42:15 – Human Error vs. AI Expectations 45:47 – AI Enhancing Medical Diagnostics 46:46 – Trusting Emerging Healthcare Technologies DISCLAMER >>>>>>    The Ditch Lab Coat podcast serves solely for general informational purposes and does not serve as a substitute for professional medical services such as medicine or nursing. It does not establish a doctor/patient relationship, and the use of information from the podcast or linked materials is at the user's own risk. The content does not aim to replace professional medical advice, diagnosis, or treatment, and users should promptly seek guidance from healthcare professionals for any medical conditions.   >>>>>> The expressed opinions belong solely to the hosts and guests, and they do not necessarily reflect the views or opinions of the Hospitals, Clinics, Universities, or any other organization associated with the host or guests.    Disclosures: Ditch The Lab Coat podcast is produced by (Podkind.co) and is independent of Dr. Bonta's teaching and research roles at McMaster University, Temerty Faculty of Medicine and Queens University. 

Steve Dennis and Michael LeBlancs analyze the week's most impactful retail developments: a U.S. appeals-court ruling that may require massive Trump era tariff refunds  new India duties; fast-moving shifts in de minimis thresholds; and mounting pressure on global supply chains, small businesses, and retailers alike. They analyze how these disruptions will disrupt importers like Tapestry and Lululemon, and shift the retail earnings divide—even as consumer confidence wavers and labor issues—like ICE raids—further muddy the waters.In the featured interview with two visionary luxury executives: Amit Kaswani, Chief Omnichannel Officer at Chalhoub Group, and Stacie Henderson Capece Minutolo, Chief Marketing Officer Americas at Tod's Group. Amit outlines Chalhoub's omnichannel-first game plan, including end-to-end logistics and loyalty ecosystems that reach millions—backed by AI-powered personalization, predictive analytics, and conversational commerce tools. He emphasizes how customer experience, augmented by technology, is a differentiator, not a replacement for human interaction.Stacie shares Tod's strategy in the Americas, targeting high net worth clients and next-gen shoppers through experiential storytelling, cultural relevance, and digital scale. She references campaigns like "Italian Diaries," where in-person luxury activations generate exponential online impressions. She also discusses Tod's AI governance framework—a cross-functional task force merging marketing, e-commerce, finance, and customer service to ensure innovation is purposeful and aligned.As both guest leaders gear up to speak at Shoptalk Luxe, which runs 27–29 January 2026 at the Emirates Palace Mandarin Oriental in Abu Dhabi, luxe.shoptalk.com+1, they tease the frameworks, case studies, and strategies they'll be presenting on global luxury, loyalty, and AI innovation.The episode closes with Michael and Steve spotlighting standout moments: GLP-1 weight-loss drug innovations, Google's Nano Banana image-generation tool, and the looming U.S. interest rate decision, crippling shutdown threats, and Simons' opening in Toronto's Eaton Centre, replacing Nordstrom. About UsSteve Dennis is a strategic advisor and keynote speaker focused on growth and innovation, who has also been named one of the world's top retail influencers. He is the bestselling authro of two books: Leaders Leap: Transforming Your Company at the Speed of Disruption and Remarkable Retail: How To Win & Keep Customers in the Age of Disruption. Steve regularly shares his insights in his role as a Forbes senior retail contributor and on social media.Michael LeBlanc is the president and founder of M.E. LeBlanc & Company Inc, a senior retail advisor, keynote speaker and now, media entrepreneur. He has been on the front lines of retail industry change for his entire career. Michael has delivered keynotes, hosted fire-side discussions and participated worldwide in thought leadership panels, most recently on the main stage in Toronto at Retail Council of Canada's Retail Marketing conference with leaders from Walmart & Google. He brings 25+ years of brand/retail/marketing & eCommerce leadership experience with Levi's, Black & Decker, Hudson's Bay, CanWest Media, Pandora Jewellery, The Shopping Channel and Retail Council of Canada to his advisory, speaking and media practice.Michael produces and hosts a network of leading retail trade podcasts, including the award-winning No.1 independent retail industry podcast in America, Remarkable Retail with his partner, Dallas-based best-selling author Steve Dennis; Canada's top retail industry podcast The Voice of Retail and Canada's top food industry and one of the top Canadian-produced management independent podcasts in the country, The Food Professor with Dr. Sylvain Charlebois from Dalhousie University in Halifax.Rethink Retail has recognized Michael as one of the top global retail experts for the fourth year in a row, Thinkers 360 has named him on of the Top 50 global thought leaders in retail, RTIH has named him a top 100 global though leader in retail technology and Coresight Research has named Michael a Retail AI Influencer. If you are a BBQ fan, you can tune into Michael's cooking show, Last Request BBQ, on YouTube, Instagram, X and yes, TikTok.Michael is available for keynote presentations helping retailers, brands and retail industry insiders explaining the current state and future of the retail industry in North America and around the world.

This episode delves into the dynamic future of retail, spotlighting the pivotal role of AI in reshaping supply chains and customer interaction. Experts discuss how retailers are harnessing AI to deliver hyper-personalized shopping experiences, leveraging clean data to anticipate consumer needs and optimize inventory. The conversation explores the increasing importance of sustainability, with brands adopting eco-friendly practices and transparent supply chains to meet conscious consumer demands. The rise of social commerce platforms like TikTok is also examined, revealing how retailers are integrating social media into their sales strategies and supply chain management for unprecedented agility. This episode offers valuable insights into how technology, strategic data utilization, and a commitment to sustainability are converging to redefine the retail landscape and create new opportunities for brands and consumers alike.

In der aktuellen Folge von Wirtschaft Düsseldorf Unplugged spricht Moderatorin Andrea Greuner mit Daniela Endres, Fluktuations-Forensikerin und Co-Founderin von People Rebellion.Seit Februar 2024 ist das Düsseldorfer Start Up People Rebellion am Markt und begleitet Unternehmen dabei, Fachkräfte zu sichern statt teuer zu rekrutieren.Datenbasiert, vorausschauend und mit echtem Mehrwert sagt das Team dem Fachkräftemangel den Kampf an. Als Psychologin mit einem Vierteljahrhundert HR Expertise in der Industrie ist Daniela die Bindungsstrategin bei People Rebellion. Ihr Auftrag: datenbasiert und analytisch die wahren Kosten von Kündigungen zu ermitteln, die echten Gründe für Kündigungen zu identifizieren und Strategien zurMitarbeiterbindung jenseits von Kaffee-Flat-Rate und Obstkorb aufzubauen. Die Kirsche auf dem Eisbecher: ein Tool für predictive Analytics, das Kündigungen vorhersagt.Im Podcast sprechen Sie über:✅ Wie teuer Kündigungen sind und warum die Kosten dafür steigen werden. ✅ Warum Fluktuationsforensik der Game-Changer im Fachkräftemangel ist. ✅ Was Mitarbeiter für ihre Arbeitgeber begeistert.Daniela Endres teilt ihre Einblicke, Antriebe und Erfahrungen, die für alle inspirierend sind, die etwas bewegen und in Nordrhein-Westfalen verändern möchten.

What happens when a seasoned senior living operator crosses over to the “dark side” of technology? In this episode, Matt reconnects with Dan Wolen, now at Teton, to unpack the real-world impact of predictive insights and AI in senior living. From staffing efficiencies to reducing adverse incidents, Dan shares how communities can move from reactive to proactive—and why it all starts with giving teams the right tools, not more tasks.Timestamps :01:00 – Intro and welcoming Dan back02:36 – Dan's early “aha” moments after joining the tech vendor world04:04 – What “predictive insights” really means in senior living05:31 – Real-time data visibility and frontline decision-making06:45 – Bridging clinical care and operational efficiency08:03 – Resident outcomes: measurable improvements with predictive tools09:35 – Barriers to adoption and how communities can overcome them11:13 – Concrete examples: caregiver apps and mobile spot checks13:59 – Department-level and executive dashboards for broader impact16:30 – Boosting satisfaction and length of stay through proactive care18:03 – What the future holds: AI and predictive tools at scale19:08 – Dan's advice to curious but hesitant operators20:11 – The one question every operator should ask a tech vendor

"Turn data into actionable foresight with AI-powered predictive models."This session introduces marketers to predictive analytics, explaining the models, methods, and tools that transform raw data into foresight. We will explore real-world applications, frameworks, and platforms that help marketing teams anticipate behaviour, optimise campaigns, and allocate resources more effectively.What is Predictive Analytics?Uses historical data + statistical algorithms + machine learning to forecast future outcomes.Moves marketers from reactive reporting to proactive foresight.Reference: Gartner defines predictive analytics as a key pillar of data-driven marketing maturity.Why Predictive Analytics Matters for MarketingAnticipates customer behaviour (churn, purchase, lifetime value).Improves efficiency of spend and targeting.Reduces reliance on intuition-only decision making.91% of top-performing marketers say predictive analytics is critical to their strategy (Forrester, 2024).More webinars like this at http://marketingcollege.com/events

Die Art, wie wir Marketing machen, steht vor einem tiefgreifenden Wandel. KI-Tools wie Midjourney, ChatGPT & Co. revolutionieren nicht nur die Content-Produktion, sondern eröffnen völlig neue Möglichkeiten für die Aussteuerung, Personalisierung und Optimierung von Creatives entlang des Funnels. Was bedeutet das für Strategie, Kreation und Performance? Wir geben Einblicke in die Potenziale von KI-gestützten Tools für Awareness, Consideration und Conversion. Dabei kombinieren wir datengetriebenes Funnel-Denken mit konkreten Use Cases aus dem Agenturalltag. Ideal für alle, die ihr digitales Marketing strategisch weiterentwickeln wollen – mit mehr Effizienz, Personalisierung und Relevanz. Das wirst Du im Webinar lernen: Nach dem Webinar weißt du, wie du Künstliche Intelligenz gezielt entlang der Customer Journey einsetzt – von der ersten Awareness bis hin zur Conversion. Du lernst, wie KI-gestützte Tools wie ChatGPT, Midjourney oder Predictive Analytics helfen, Creatives schneller zu entwickeln, zu testen und zu personalisieren. Dabei bekommst du praxisnahe Einblicke in smarte Workflows und Tools für die Kampagnenplanung, Content-Erstellung und Funnel-Optimierung. Du verstehst, wo Automatisierung Effizienz schafft und wo menschliche Kreativität weiterhin entscheidend bleibt. Zudem nimmst du strategische Impulse mit, wie du Teams, Budgets und Prozesse zukunftsfähig aufstellst und KI sinnvoll in deine Marketingorganisation integrierst – ohne Overengineering, aber mit klarem Fokus auf Wirkung und Relevanz. So schaffst du die Verbindung von datenbasierten Entscheidungen und emotionaler Markenerfahrung – für mehr Performance entlang des gesamten Funnels. Marketing- und Digitalverantwortliche, Performance Manager:innen, Creative Leads und alle, die entlang der Customer Journey mehr Wirkung erzielen wollen.

In this episode of Disruption/Interruption, host KJ sits down with Bill Lederer, Founder and CEO of MADTECH.AI, to discuss how marketing analytics is being transformed by automation, AI, and decision intelligence. Bill shares his journey as a serial entrepreneur, the challenges of messy marketing data, and how his innovations are helping brands make smarter, faster decisions. Key Takeaways: [2:12] - Most marketing data is disconnected, siloed, and often unusable, making good decision-making difficult. [6:57] - AI and automation are reducing the need for large teams in marketing analytics, allowing companies to do more with less. [11:32] - Automating data pipelines and transformations can lead to significant cost savings and efficiency gains. [13:04] - MADTECH.AI acts as a multi-tool for marketers, integrating data unification, visualization, and predictive analytics. [19:02] - Bill advises listeners to be skeptical of hype, test new technologies carefully, and focus on early ROI. Quote of the Show [23:42]:"The time compression in order to be able to do anything—to learn, to fix, to improve—it's a qualitative difference. The speed with which everything is able to be done now... it's dramatic. If you’re not leveraging this, you’re already behind." – Bill Lederer Join our Anti-PR newsletter where we’re keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome. Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval Ways to connect with Bill Lederer: LinkedIn: https://www.linkedin.com/in/billederer/ Company Websites: MadTech.AI How to get more Disruption/Interruption: Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlDSee omnystudio.com/listener for privacy information.

Researchers at Southern Illinois University Edwardsville are leading a team that's testing and mapping hundreds of samples for compounds that traditional water treatment methods don't remove. Dr. Carrie Butts-Wilmsmeyer, Director of the Center for Predictive Analytics and associate professor of Biological Sciences, joins Megan Lynch with details.

Listen as Danny Moore interviews Charlie Larimer on Epidemiology and Predictive Analytics.  Listen as Charlie gives his insight on applying predictive analytics techniques to determine drivers of health outcomes in differing populations and regions.

Send us a textYou might be using AI models in pathology without even knowing if they're giving you reliable results. Let that sink in for a second—because today, we're fixing that.In this episode, I walk you through the real statistics that power—and sometimes fail—AI in digital pathology. It's episode 4 of our AI series, and we're demystifying the metrics behind both generative and non-generative AI. Why does this matter? Because accuracy isn't enough. And not every model metric tells you the whole story.If you've ever been impressed by a model's "99% accuracy," you need to hear why that might actually be a red flag. I share personal stories (yes, including my early days in Germany when I didn't even know what a "training set" was), and we break down confusing metrics like perplexity, SSIM, FID, and BLEU scores—so you can truly understand what your models are doing and how to evaluate them correctly.Together, we'll uncover how model evaluation works for:Predictive Analytics (non-generative AI)Generative AI (text/image generating models)Regression vs. Classification use casesWhy confusion matrix metrics like sensitivity and specificity still matter—and when they don't.Whether you're a pathologist, a scientist, or someone leading a digital transformation team—you need this knowledge to avoid misleading data, flawed models, and missed opportunities.

Send us a textWhat if I told you the biggest AI breakthroughs in pathology aren't coming from ChatGPT or generative tools—but from the quiet power of predictive analytics and machine learning?In this episode, I explore the non-generative side of artificial intelligence in pathology. These are the tools that detect tumors, segment tissue, classify images, and make predictions—without generating a single word.It's the third chapter in our guided AI series, and this time we focus on the models you're more likely to use in real-world diagnostics. You'll hear about object detection, segmentation, anomaly detection, and how these models are built using supervised and unsupervised learning—plus the pros and cons of different annotation strategies.We'll also cover why no one model fits all, and how combining simple tools like decision trees with more complex neural networks is often the key to building reliable, usable AI in pathology.Whether you're training your first model, selecting an algorithm for rare disease detection, or just want to understand what “unsupervised clustering” means—you'll find something useful here.

In dieser Episode treffe ich Sven, den Mitgründer und Co-CEO von Live.io, einem innovativen Berliner Start-up, das sich auf die Nutzung von Satellitendaten im Energiesektor spezialisiert hat. Unsere Unterhaltung dreht sich um das beeindruckende Potenzial von Satellitentechnologie zur Unterstützung von Infrastrukturbetreibern, insbesondere im Bereich Vegetationsmanagement, das für die Sicherheit und Effizienz von Strom- und Pipeline-Netzen entscheidend ist. Sven beschreibt die Anfänge von Live.io, wie sein Hintergrund in der Raumfahrtindustrie und die Erkenntnis über die wachsende Verfügbarkeit von Satellitendaten die Idee zur Gründung des Unternehmens beeinflussten. Er erläutert, wie Live.io damit begann, Lösungen für die Deutsche Bahn zu entwickeln, um Bäume zu identifizieren, die bei Stürmen auf Gleise fallen könnten. Dieses Wachstum führte schließlich dazu, dass das Unternehmen mit großen Netzbetreibern weltweit zusammenarbeitet und Satellitendaten für das Monitoring von Strom- und Pipelinesystemen anbietet. Wir diskutieren auch die Integration von künstlicher Intelligenz in die Produktangebote von Live.io, denn die Analyse der Satellitendaten erfordert präzise Algorithmen, die Sven und sein Team entwickelt haben. Diese Technologie hilft nicht nur, potenzielle Schäden zu identifizieren, sondern ermöglicht auch eine präventive Wartung, die die Sicherheitsrisiken und Kosten erheblich reduziert. Darüber hinaus beleuchten wir, welche Unterschiede zwischen den Märkten in Europa und Nordamerika bestehen, insbesondere in Bezug auf Entscheidungsfindungsprozesse und Innovationsgeschwindigkeiten. Besonders spannend sind die Ausblicke auf die nächsten 12 bis 18 Monate für Live.io, während Sven von der Vision spricht, das Unternehmen zu einem der führenden Anbieter im Bereich der Satellitendatenanalysen zu machen. Er teilt seine optimistische Perspektive auf den Talentpool in Europa sowie die Potenziale der Integration neuer Technologien in bestehende Geschäftsmodelle. Abschließend gibt es einen Einblick in die kulturellen Unterschiede im Vertrieb im Bereich Energie, die Herausforderungen bei der Marktakzeptanz von Satellitendaten sowie die vielversprechenden Perspektiven für die Zukunft des Unternehmens. Sven lädt alle Interessierten ein, mehr über die Entwicklungen bei Live.io und die Möglichkeit, Teil dieses spannenden Unternehmens zu werden, zu erfahren. Webseite: [https://www.energiezone.org](http://www.energiezone.org) Community: [https://forum.energiezone.org](https://forum.energiezone.org/) Feedback: team@energiezone.org Alexander Graf: [https://www.linkedin.com/in/alexandergraf/](http://www.linkedin.com/in/alexandergraf/) Ilan Momber: [https://www.linkedin.com/in/imomber/](http:///www.linkedin.com/in/imomber/)

In this episode, we speak with Vik Chaudhry. He is the co-founder, Chief Operating Officer and Chief Technology Officer of Buzz Solutions, a global provider of proven visual intelligence solutions used to inspect, maintain, and secure energy infrastructure. Vik shares his insights into the transformative and highly effective ways that AI and computer vision can and are being used to handle big data and greatly optimize predictive analytics in electrical power utility companies.

The meeting covered introductions and updates from various participants. Jim Farris discussed his real estate focus, while Clark Hoover highlighted his work on private credit. Stephen Burke presented a bullish outlook on the US economy, citing strong GDP growth, consumer net worth, and corporate profits. He also addressed concerns about tariffs, trade uncertainty, and geopolitical risks. The discussion transitioned to AI's role in business intelligence and decision intelligence, with examples from Radek Biszkont and Jukka Heikka. AI applications in finance, including portfolio optimization and data analysis, were highlighted, emphasizing AI's potential to streamline processes and improve decision-making. The meeting discussed various applications and implications of AI. Hana Hussein highlighted AI's role in identifying profitable sales channels and increasing company valuations. Jukka Heikka emphasized AI's scalability benefits. Clement Utuk noted AI's potential in customer service and manufacturing. Lucia Ordonez-Gamero raised cybersecurity concerns. Belinda Kǒkóèkà Ephraim stressed the importance of proprietary data in AI's effectiveness. Lubna Dajani warned about AI's potential misinformation. J.P. Keating discussed data quality and security. Christine Nady proposed using AI to enhance human-to-human connections and decision-making. Anita Vadavatha highlighted the shift towards synthetic data. The session concluded with a focus on AI's practical uses and ethical considerations.You can subscribe to various 361 events and content at https://361firm.com/subs. For reference:  - Web: www.361firm.com/home - Onboard as Investor: https://361.pub/shortdiag - Onboard Deals 361: www.361firm.com/onb - Onboard as Banker: www.361firm.com/bankers - Events: www.361firm.com/events - Content: www.youtube.com/361firm - Weekly Digests: www.361firm.com/digest

Episode Info Mary Boyd is a seasoned senior executive with over 30 years of experience leading businesses through transformative phases in their history that span invention, renovation, integration and rebuilding. Beyond her reputation for building, revitalizing, and integrating businesses, Mary has a proven track record of successfully translating strategic vision into reality. Her career is distinguished by spearheading large-scale operational, technological, and team transformations, driving significant growth and innovation across organizations. Mary's success lies in her ability to blend innovation with an agile approach, excelling at both seeing the big picture and identifying strategic opportunities in the finer details. Since 2006, Mary has held CEO, President and division leadership roles, consistently improving net income by optimizing channel economics, fostering best-in-class partnerships, building high-performance teams, and advancing operational excellence.  Mary currently serves as Chief Executive Officer of Hiscox USA, leading the business through its next phase of growth and commitment to supporting the small business landscape. In her role, Mary oversees the financial operations of Hiscox USA's nearly $1 billion commercial property and casualty business. She collaborates closely with her teams to drive near-term profitable growth while implementing a strategic vision that will markedly expand their reach to more of America's entrepreneurs. Mary joined Hiscox from Plymouth Rock Assurance Corporation, where she served as President and CEO of their Independent Agency Group, overseeing personal insurance and commercial auto businesses. Before that, she led Hartford's personal lines Direct-to-Consumer and Agency channels, following 15 years in high-net-worth personal lines. Mary began her insurance career at Chubb as an actuarial trainee, progressing through roles in Product and Pricing. She ultimately launched the Predictive Analytics practice for Chubb's Personal Lines division and later spent five years at ACE (now Chubb), where she served as President of their Private Risk Services division.  Mary earned her Bachelor of Arts degree in Applied Mathematics and Economics from Rutgers University. As a coach of youth sports, ambitious professionals, and entrepreneurs  Episode Highlights Introduction and Background Mary shares her experience and background in the insurance industry, highlighting her 30-year career and her role at Hiscox USA. Hiscox USA, part of a long-standing London-based company, started its operations in the US in 2006. Business Model and Growth Hiscox USA has transformed the small commercial business sector by offering online binding and digital partnerships, expanding its business to nearly a billion dollars. The company operates as an omnichannel business, engaging in direct sales, digital partnerships, and wholesale brokerage. Challenges and Opportunities The conversation touches on the challenges small business owners face, such as being underinsured, and how Hiscox aims to support them through education and tailored insurance solutions. The company is focused on being a leading insurer for entrepreneurs, emphasizing the need for holistic support beyond just sales. Innovation The discussion emphasizes the importance of AI and advanced tools in improving underwriting and efficiency across the insurance value chain. Hiscox has partnered with Google to leverage AI for better underwriting and insights. Future Outlook Mary discusses the future of Hiscox, highlighting the integration of data and analytics to enhance product offerings and maintain competitivenes. The company aims to continue its growth by being a better partner and protector for businesses, focusing on insights and protection rather than just speed. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.

Crypto's big wins aren't always about being lucky. More often, they come from having the right data before the hype hits. Learn how to use Token Metrics to uncover undervalued, high-potential coins. Visit https://akshinthalakk.com/token-metrics/ Crypto Exponentials City: Princeton Address: 3535 US-1, Website: https://cryptoexponentials.com/

Send me a messageAir freight has long been the wild west of logistics, complex, opaque, and often wasteful. In this episode, I sat down with Chris Condon, founder and CEO of Aircon and the mind behind Captain Cargo, to unpack how AI and automation are reshaping air freight for the better.Chris brings decades of freight forwarding experience and has built a platform specifically to help small and mid-sized freight forwarders compete with global giants. We explore why air freight isn't just for emergencies, how faster quoting often matters more than faster transit, and how real-time exception management is the missing piece for most operators.We also dig into sustainability. Chris explains how smarter consolidation and capacity optimisation, enabled by predictive analytics, can reduce unused cargo space and avoid unnecessary flights. In a sector where emissions are high and transparency is low, that matters.This isn't just about tech for tech's sake. It's about giving operators the tools to retain customers, improve margins, and respond to disruption, without losing control to the big players.If you're in logistics, supply chain management, or sustainability and you want to understand where AI is actuallydelivering value in freight, this one's well worth a listen.

Send us a textMastering Sales Funnels and Predictive Analytics with Alex FenderIn this episode of The Wireless Way, host Chris Whitaker welcomes Alex Fender, the chief funnel scientist and founder of Funnel Science. Alex shares his journey from being a US Marine Corps veteran to becoming a tech entrepreneur specializing in sales funnel optimization and predictive analytics. The conversation covers Alex's background in logistics and technology during his military service, his transition into the tech world, and the founding of Funnel Science. Alex discusses the importance of applying scientific methods to sales funnels, understanding return on investment (ROI), and the challenges companies face with data accuracy and process integration. The episode also touches on the role of AI and technology in modern business strategies, the significance of call tracking and recording, and provides insights into decision-making processes at different management levels. Alex emphasizes the need for constant testing and measurement to achieve better business outcomes. The episode concludes with a call to action for businesses to seek help and invest in proper tools and processes to optimize their operations.00:00 Introduction and Gratitude00:53 Guest Introduction: Alex Fender02:44 Military Background and Early Tech Ventures07:19 From Marine Corps to Funnel Science13:49 Challenges in Marketing and Sales Funnels16:33 Importance of Data Accuracy and Integration18:14 Leadership and Accountability in Business22:22 Customer Frustrations with Complex Processes23:52 The Importance of Speed in Customer Service25:18 Adoption of AI and Technology in Business27:05 Challenges with AI Implementation30:14 Decision Makers and ROI in Business37:42 Call Tracking and Quality Control40:33 Final Thoughts and AdviceMORE ON FUNNEL SCIENCEMORE ON ALEXSupport the showCheck out my website https://thewirelessway.net/ use the contact button to send request and feedback.

Step into the future of recruiting with this episode. Whether you're a recruiting leader, firm owner, or decision-maker, this episode is for those who are determined to keep their firms thriving in a rapidly changing, AI-driven landscape. Host Kortney Harmon cuts through the noise to reveal why clinging to yesterday's metrics and technology isn't just outdated—it could spell extinction for your business.Key Insights:- Discover why traditional KPIs (like call and submission counts) no longer drive success, and may actually hinder your firm's growth.- Learn how “living platforms” that continuously evolve with AI are separating thriving search firms from those falling behind.- Recognize the warning signs your operations are stuck on the KPI hamster wheel—and what to do about it before your competitors outpace you.- Find out the essential steps to transform your metrics and recruiting workflows for the AI era.- Understand why redefining the recruiter's role is critical for long-term relevance and client impact.Can your current tech stack evolve on its own, or is it dragging your firm into irrelevance? Are you measuring what matters—or just what's easy?Listen now to uncover the strategies that will keep your executive search firm ahead of the curve. Don't get left behind—the future isn't just coming, it's here.__________________Want to learn more about Crelate? Book a demo hereFollow Crelate on LinkedIn: https://www.linkedin.com/company/crelate/Subscribe to our newsletter: https://www.crelate.com/blog/full-desk-experience

This episode explores how technology and business truly come together to drive meaningful change, focusing on the shift from on-premise to cloud ERP. You'll hear how companies are breaking free from outdated systems, overcoming technical debt, and embracing more agile, modular approaches to stay ahead in a fast-changing world. The conversation unpacks common myths about security and customization, explains why cloud ERP offers greater trust and flexibility, and highlights the priorities today's CIOs are setting to future-proof their organizations. With insights on continuous innovation, compliance, and keeping your business unique, this discussion will leave you rethinking what's possible for the future of work.

In this cutting-edge episode of Rethink Real Estate, Ben Brady reconnects with Tony Self, Broker Associate at Harcourts Hunter Mason Realty, to dive deep into the latest AI and PropTech breakthroughs transforming the real estate industry. From Google's new AI video generation tool Gemini to ChatGPT's game-changing capabilities for market report analysis and virtual staging, Tony breaks down the tech that every agent needs to understand — and leverage — to stay ahead of the competition.Discover how AI-powered tools can help you quickly analyze massive data sets, summarize complex feasibility studies, and even create faceless video content to boost your listings' online presence. Tony and Ben also explore the limitations of predictive property valuations in today's unpredictable market and why expert local knowledge still reigns supreme. Whether you're curious about the future of AI in real estate or looking for practical tips on incorporating these tools into your business, this episode is packed with insights to help you build a smarter, more efficient listing strategy.Timestamps & Key Topics:[00:00:00] - Introduction & AI Landscape Update[00:04:00] - Google Gemini & AI Video Creation Breakthroughs[00:08:00] - Automating Real Estate Videos with CapCut & Video.io[00:10:00] - Virtual Staging with AI: Realistic or Risky?[00:14:00] - Using ChatGPT to Summarize Market Reports & Feasibility Studies[00:18:00] - The Reality of Predictive Analytics & Zillow's Zestimate[00:22:00] - Why Local Expertise Still Beats Algorithms[00:25:00] - Practical AI Tools Agents Can Use Today

Welcome to the WealthBuilders Podcast where Karen Conrad Metcalfe and Jeff VanderWal discuss AI and allowing technology to enhance human productivity rather than replace it.This episode addresses leadership and technology, focusing on ways leaders can effectively navigate the rapidly evolving world of AI and digital tools. You will be encouraged to balance technological advancements with biblical principles and to stay open-minded.Find out how keeping abreast of emerging innovations can drive business growth. Predictive Analytics: Leveraging Technology Without Losing ConnectionMore Resources:Learn more about WealthBuilderswww.wealthbuilders.orgOvercoming Disappointments Booklethttps://www.wealthbuilders.org/disappointment_overJuly Business Bootcampwealthbuilders.org/bizbootcamp

Episode #4 of Dear CEO is here! Dear CEO is our limited series, presented in partnership with iGP where a real life industry CEO, Jovana Popovic Canaki of iGP answers your questions, about your business. Our host as always is Charlie Horner, and this time he's got a page full of questions from the audience about the always fun topic of KPIs. Jovana tells Charlie about her numbers background, and why as a CEO she's always paying attention the numbers, giving her some fantastic insight into which KPIs are important, what they mean, and what your businesses should care about. Charlie and Jovana discussHow important KPIs have evolved over the last 3-5 years and how they will continue to evolve over the next 3-5The shift from operators being primarily focused on acquisition to today's focuses of engagement and retentionThe impact of technology on KPIs and how technology has changed what operators focus onHow to spot which KPIs are merely vanity metricsWhich KPIs are most predictive of long term success for new market entrantsPlus, Charlie and Jovana preview her speaking appearance at the upcoming inaugural SBC Summit Malta!

This episode delves into the dynamic future of retail, spotlighting the pivotal role of AI in reshaping supply chains and customer interactions by 2025. Experts discuss how retailers are harnessing AI to deliver hyper-personalized shopping experiences, leveraging clean data to anticipate consumer needs and optimize inventory. The conversation explores the increasing importance of sustainability, with brands adopting eco-friendly practices and transparent supply chains to meet conscious consumer demands. The rise of social commerce platforms like TikTok is also examined, revealing how retailers are integrating social media into their sales strategies and supply chain management for unprecedented agility. This episode offers valuable insights into how technology, strategic data utilization, and a commitment to sustainability are converging to redefine the retail landscape and create new opportunities for brands and consumers alike.

The beauty industry is massive, fast-paced, and hard to predict. There are 20,000 brands worldwide, and microtrends can spread around the globe in hours. That's the challenge facing Kalindi Mehta, Global VP for Consumer Foresight Strategy and Predictive Analytics at the Estée Lauder Companies. In the latest episode, she lays out how AI is transforming her industry, and explains how the technology can help all companies be more agile, improve their decision making, and reimagine their workflows. WorkLab Subscribe to the WorkLab newsletter Microsoft Podcasts – Stay connected, informed, and entertained with original podcasts from Microsoft  

Send us a textSonarMD CEO Beth Houck has more than 25 years of experience in the healthcare industry. Before joining SonarMD, she led customer experience for SA Ignite, a cloud-based healthcare technology company helping provider organizations manage performance and compliance with their MACRA initiatives.00:00 Introduction to Life Science Success Podcast00:35 Meet Beth Houck: CEO of SonarMD01:01 Beth's Journey to Life Sciences02:55 Becoming the CEO of SonarMD04:59 Leadership Insights and Strategy10:04 The Value of an MBA in Health Services15:56 Introduction to SonarMD21:04 How SonarMD Improves Healthcare Outcomes24:29 The Future of Healthcare Technology27:56 Predictive Analytics in Healthcare28:17 Leveraging Claims Data for Predictive Analytics30:05 The Role of Data and Analytics in Healthcare32:30 Challenges in Actuarial Science and Team Management37:39 Future Goals and Expansion Plans for SonarMD41:02 Leadership Insights and Personal Inspirations50:53 Conclusion and Final Thoughts

This Podcast is sponsored by Team Simmer.Go to TeamSimmer and use the coupon code DEVIATE for 10% on individual course purchases.The Technical Marketing Handbook provides a comprehensive journey through technical marketing principles.Sign up to the Simmer Newsletter for the latest news in Technical Marketing.Latest content from Juliana & SimoSign-up to Juliana's newsletter: Beyond The Mean. Subscribe here: https://julianajackson.substack.com/Latest from Simo: Basic Consent Mode GuideLatest from Juliana: Don't use LLMs to do Data AnalysisConnect With Barbara GalizaLinkedin: https://www.linkedin.com/in/barbara-galiza/Attribution Masterclass: https://attributionmasterclass.com/ (use the coupon code DEVIATION. It's 25% ($100) off )021 Newsletter: https://www.021newsletter.com/Also mentioned in the episode:David Vallejo - GA4 new cookie format explained - https://www.thyngster.com/google-analytics-4-cookie-format-change-from-gs1-to-gs2-explainedShouts to Slobodan Manic and No Hacks Podcast for helping me with some technical difficulties on this episode. Go ahead and check his podcast for thought provoking conversations about CRO/Growth and product. This podcast is brought to you by Juliana Jackson and Simo Ahava.

In this episode of the ‘AI in Business' podcast, Scott Bradley, VP of AI and Innovation at Novartis, returns to discuss how AI is reshaping decision-making at the earliest stages of drug development—and what that means for the future of pharma investment strategy. Host Matthew DeMello and Scott explore how the pharmaceutical industry is transitioning from intuition-led portfolio choices to data-driven precision. They discuss the growing influence of AI in identifying viable drug candidates, designing complex proteins, and even solving long-standing manufacturing challenges. Scott also highlights the impact of AI on shifting portfolio dynamics—enabling pharma companies to target smaller, more specific patient populations and scale up development across a wider range of therapies. With AI now central to everything from molecule discovery to commercialization, the conversation offers a window into how life sciences organizations must adapt both structurally and strategically to stay competitive. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast! This episode is sponsored by Intelligencia AI. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

In this episode of Hands-On IT, Landon Miles shares 3 tactical tips to help you make smarter decisions with your endpoint data. Learn how to cut through alert fatigue, streamline your reporting, and use historical insights to predict and prevent future issues. Whether you're managing a few hundred devices or thousands across mixed OS environments, these strategies will help you reduce noise, boost visibility, and run a more secure, efficient operation.

Fernando Noodt steps back into the host's chair from last week's SBC Summit Americas for today's episode of iGaming Daily, sponsored by Optimove. And today's guest is none other than Optimove's very own Motti Colman, VP of Revenue. Motti joins to discuss the challenges faced by gaming operators, particularly in scaling their operations amidst competition and rapidly evolving regulatory environments. Fer and Motti discuss the high competition, heavy regulation requiring businesses to walk a "very thin path," and lower margins operators face when trying to scale, the evolution of the competitive landscape makes it significantly harder for smaller and new operators, touching on SEO, affiliation, paid ads and more. As well as customer retention, and owning customer loyalty. The guys also discuss the Brazilian market, with Motti sharing insights on conversion rate and FTDs since the market became regulated. Motti gives advice for smaller companies navigating the market and the richer competition, the use of gamification, and how technology such as AI can help level the playing field. Host: Fernando NoodtGuests: Motti ColmanProducer: Anaya McDonaldEditor: Scott FultoniGaming Daily is the official podcast of SBC Summit Malta. Taking place from 10-12 June at the Intercontinental in Malta, SBC Summit Malta is the definitive casino and betting event where European companies and professionals converge to explore cutting-edge insights, gain transformative skills, and forge impactful connections with senior decision-makers. Get your tickets now at sbcevents.com.iGaming Daily is also now on TikTok. Make sure to follow us at iGaming Daily Podcast (@igaming_daily_podcast) | TikTok for bite-size clips from your favourite podcast. Finally, remember to check out Optimove at https://hubs.la/Q02gLC5L0 or go to Optimove.com/sbc to get your first month free when buying the industry's leading customer-loyalty service. 

Use Token Metrics for data-driven, AI-powered ratings on thousands of coins and token. Read crypto expert Kishor Akshinthala's review of the platform's latest features. More details at https://akshinthalakk.com/token-metrics/ Crypto Exponentials City: Princeton Address: 3535 US-1, Website: https://cryptoexponentials.com/

AI is no longer a “nice-to-have”—it's a game-changer for dealerships that want to win in today's competitive market. In this episode of Dealer Talk with Jen Suzuki, I sit down with Lance Schafer, General Manager of Product and Technology at LotLinx, who's been leading the charge in applying machine learning to the core areas where dealers often struggle most: inventory management, pricing, and customer experience. Lance breaks down how traditional dealership strategies—like pricing based on gut feeling or managing inventory with old sales data—are being replaced with data-driven, real-time AI systems that help stores become more profitable and efficient. We talk about: How AI shifts inventory strategy from reactive to predictive How dynamic pricing boosts both speed and profitability Using machine learning to match inventory with what customers actually want The biggest hurdles in AI adoption and how to overcome them What trends are coming next, and how to prepare now Whether you're just exploring AI or already testing tools, this episode will give you clarity on where the real impact is—and how to start modernizing before the market forces your hand. Dealer Talk with Jen Suzuki Podcast |

In this episode of the Innovating Together podcast, host Bridget Burns is joined by Dr. Allison Calhoun-Brown, Senior Vice President for Student Success at Georgia State University, to explore how the university moved from fragmented, paper-based advising to becoming a national exemplar of proactive, data-informed student support. This conversation highlights the real-world steps Georgia State took to transform advising; boosting graduation rates, closing equity gaps, and creating scalable systems that prioritize student care and timely intervention.Listeners will gain practical insight into:How to clean and organize institutional data for actionable useThe difference between predictive analytics and proactive advisingBuilding cross-campus buy-in and securing leadership supportCreating consistent advising standards and trainingEngaging students meaningfully and equitably in support systems“You can do good and do well at the same time.” - Dr. Calhoun-BrownLearn more about the UIA by visiting:WebsiteLinkedInTwitterYouTubeFacebookThis week's episode is sponsored by Mainstay, a student retention and engagement tool where you can increase student and staff engagement with the only platform consistently proven to boost engagement, retention, and wellbeing. To learn more about Mainstay, click here.

In this episode of Zero to CEO, I speak with Harvard serial founder Shirish Nimgaonkar about how his company, eBlissAI, is leading a new era of agentic AI through self-healing, autonomous systems. Shirish explains why today's enterprise IT systems are falling short and how eBlissAI's platform is transforming endpoint management by combining real-time analytics, predictive insights, and intelligent automation. We discuss how businesses can drastically reduce operational costs, improve user productivity, and gain a superior ROI by adopting AI that not only reacts but predicts and personalizes. With enterprise tech at a tipping point, this episode explores why now is the critical moment to embrace truly autonomous solutions.

Send us a textClose out the week with a power-packed episode of the Customer Success Playbook, as Roman Trebon and Kevin Metzger welcome Joe Di Grande for a lively Friday discussion on AI in customer success! Joe shares an honest look at how AI can supercharge your customer success playbook—but only if deployed with clarity and purpose. Learn how to avoid the common pitfall of chasing shiny AI tools without aligning them to your actual goals. From automation to predictive analytics, this episode is a must-listen for forward-thinking CS and product marketing teams.Detailed Analysis: In a world where every scroll brings a new "game-changing" AI app, Joe Di Grande brings much-needed sanity to the conversation. Returning to the Customer Success Playbook, Joe shares practical ways AI can drive serious gains—faster customer engagement, smarter predictive analytics, better documentation—but not without a word of caution: it's not about the tool, it's about the goal.Joe lays out a clear decision framework: start by asking what business problem you're solving, measure the potential time savings, and always weigh the cost versus value, much like any traditional tech investment. He shares examples from his own consulting work, including custom GPT bots, clever workflow automation with tools like Tango, and AI-driven stakeholder management.Kevin and Roman add extra layers of wisdom, emphasizing that AI project evaluation is not fundamentally different from any other project: start with objectives, measure value, manage implementation smartly. Along the way, they give a shoutout to innovative tools like Cast.app and discuss how to stay grounded when AI hype is everywhere.If you want to integrate AI into your customer success playbook—without losing focus or budget—this episode delivers practical, optimistic, and realistic strategies.Now you can interact with us directly by leaving a voice message at https://www.speakpipe.com/CustomerSuccessPlaybookPlease Like, Comment, Share and Subscribe. You can also find the CS Playbook Podcast:YouTube - @CustomerSuccessPlaybookPodcastTwitter - @CS_PlaybookYou can find Kevin at:Metzgerbusiness.com - Kevin's person web siteKevin Metzger on Linked In.You can find Roman at:Roman Trebon on Linked In.

Alexei Chemenda, CEO and co-founder of Poolday.ai, discusses how AI enables marketers to focus on strategy and storytelling. Discover the future of personalized video ads, the evolving role of A/B testing, and the importance of combining creative and analytical skills in marketing. 00:00 Introduction: Misconceptions About AI in Marketing01:53 Revolutionizing Ad Creation with AI02:53 Personalization and Creative Control04:15 Continuous Creative Cycle04:37 AI in Gaming and Brand Marketing09:22 Balancing Volume and Quality in AI-Driven Marketing16:37 Predictive Analytics and Data Fluency20:19 Future Skills for Marketing Leaders23:13 Enhancing Human Creativity with AI25:22 Conclusion and Contact Information

In this episode of the Greenbook Podcast, Karen Lynch sits down with Kalindi Mehta, Global VP of Consumer Foresight, Strategy, and Predictive Analytics at Estée Lauder Companies. Kalindi shares how the beauty industry's emotional, cultural, and highly personalized nature requires real-time consumer insight and constant innovation.She discusses how AI is transforming the end-to-end insights process—from sensing trends and matching products to co-creating with influencers and optimizing business results. Kalindi also dives into the skills and mindset insights professionals need to thrive in an AI-driven future, and offers practical leadership advice for driving transformation within organizations. A must-listen for anyone navigating the evolving intersection of data, creativity, and consumer foresight.Key Discussion Points:How Estée Lauder uses AI to drive consumer foresight and innovationThe cultural and emotional complexity of beauty consumersBuilding insights capabilities that scale across global teamsWhy AI enhances—rather than replaces—human expertiseSkills and leadership strategies for thriving in AI-powered insights workResources & Links:Estée Lauder CompaniesYou can reach out to Kalindi Mehta on LinkedIn.Many thanks to Kalindi Mehta for being our guest. Thanks also to our production team and our editor at Big Bad Audio.

In this must-listen episode of the CPQ Podcast, we dive into one of the most talked-about trends in the Configure, Price, Quote (CPQ) space: Artificial Intelligence. Is AI in CPQ a game-changer today—or a promise for tomorrow? Join us as we explore the real-world state of AI in CPQ from the perspective of a seasoned CPQ expert (not an AI evangelist!). We cut through the hype and take a practical look at how AI is being used—right now—to improve quoting processes, enhance guided selling, personalize upsell strategies, and even write quote letters and automate testing. You'll learn:

In this episode of Hotel Moment, Karen Stephens sits down with Dana Cariss, Senior Vice President of Revenue Strategy at CoralTree Hospitality. Dana shares insights on how his team has consolidated guest data across systems to understand spending patterns and personalize communications. From analyzing where guests spend resort credits to creating seven layers of segmentation, Dana reveals how CoralTree is using data to drive revenue while enhancing guest satisfaction across their diverse portfolio of luxury hotels and vacation rentals.

Ben Brady is joined once again by resident tech expert Tony Self to explore how artificial intelligence is revolutionizing how agents forecast future sellers and price properties with data-backed precision. Together, they break down the growing role of predictive analytics in real estate—from identifying the most likely sellers in your database to creating more accurate valuations using multiple sources of market data.Tony shares his current work using platforms like ChatGPT, DeepResearch, and CoStar to build valuation models and investment insights, especially for multifamily properties. He also unveils his experimentation with AI agents capable of completing real tasks inside your browser—think booking flights, uploading WordPress content, or even completing basic real estate forms. While the technology is still developing, the implications for the industry are massive.Tune in for a practical discussion on how agents can begin using AI today, why relying solely on web-scraped data can be dangerous, and what every agent should know about combining AI tools with real-world context. Whether you're tech-savvy or just getting started, this conversation offers timely insights into what's next for real estate professionals in an AI-driven world.Timestamps & Key Topics:[00:00:00] – Introduction to Predictive Analytics in Real Estate[00:02:15] – Using AI to Identify Likely Sellers Before They Hit the Market[00:04:14] – The Power of Personal Data vs. Public Web Data[00:07:10] – Why AI Price Estimates Can Miss the Mark[00:10:27] – Real-World Use: Tony's Multifamily Data Model with CoStar[00:14:56] – Feeding AI the Right Data: Step-by-Step Process[00:18:16] – Comparing $15K Market Reports vs. DIY AI Research[00:21:14] – A Look at GPT's Agent Feature & Virtual Browser Capabilities[00:24:44] – Could AI Complete Real Estate Forms for You?[00:26:30] – How Agents Can Use AI as a Strategic Advantage Today

In this episode of Trending in Education, host Mike Palmer interviews Emily Coleman, co-founder and CEO of HAI Analytics Inc, about the intersection of data science and higher education. Emily shares her journey from a PhD in Psychology and Statistics to founding HAI Analytics, highlighting her passion for using data to drive decision-making in higher education. They discuss the importance of predictive analytics, the challenges and opportunities for data implementation in higher education, and the skills needed for success in data science.   Key Takeaways: The evolution of AI and its applications in predictive analytics.   Challenges higher education institutions face in becoming more nimble and data-driven. Strategies for developing effective dashboards and data infrastructure.   The balance between leveraging data for insights and maintaining data security and privacy.   Essential skills and advice for aspiring data scientists.   Why You Shouldn't Miss This Episode: This conversation provides valuable insights for anyone interested in the role of data in shaping the future of higher education. Whether you're an educator, administrator, or data enthusiast, Emily's expertise offers a unique perspective on how institutions can harness the power of data to improve student outcomes, optimize resources, and navigate the evolving landscape of education. Subscribe to Trending in Ed wherever you get your podcasts. Visit us at TrendinginEd.com for more sharp takes on the future of education.

#updateai #customersuccess #saas #businessIn this episode of the Unchurned podcast, we are joined by our dynamic duo of experts, James Sanders (AI Implementation Strategist) and Michelle Carter (Customer Success Innovation Lead). From automated call summaries and sentiment analysis to predictive analytics and personalized customer experiences, James and Michelle will guide us through the current trends and future possibilities of AI.They discuss the burgeoning interest in specialized AI tools for customer success and delve into various applications—such as conversation intelligence, chatbots, and predictive health scoring—that are reshaping the industry. By leveraging AI, CSMs can focus on building relationships and delivering value with their new AI copilots.Timestamps0:00 - Preview & Intros2:17 - AI and Customer Success3:11 - Call summaries and follow-up generation4:05 - Voice of the Customer (Sentiment Analysis)5:11 - Predictive Analytics for Churn and Upsell6:03 - Customer Health Scoring6:40 - Task Automation and Workflow Orchestration7:42 - Chatbots and Self-Service AI8:37 - Personalized Content and Recommendations10:52 - Sophisticated proactive retention alerts12:02 - Embedded copilots for AI assistance 13:03 - Multichannel customer orchestration15:45 - Solution Categories in AI for Customer Success19:39 - Glossary of Terms Related to AI___________________________

Alexei Chemenda, CEO and co-founder of Poolday.ai, discusses how AI enables marketers to focus on strategy and storytelling. Discover the future of personalized video ads, the evolving role of A/B testing, and the importance of combining creative and analytical skills in marketing. 00:00 Introduction: Misconceptions About AI in Marketing01:53 Revolutionizing Ad Creation with AI02:53 Personalization and Creative Control04:15 Continuous Creative Cycle04:37 AI in Gaming and Brand Marketing09:22 Balancing Volume and Quality in AI-Driven Marketing16:37 Predictive Analytics and Data Fluency20:19 Future Skills for Marketing Leaders23:13 Enhancing Human Creativity with AI25:22 Conclusion and Contact Information

In this episode of the HR Leaders Podcast, we sit down with Neeraj Tandon, Head of People Insights and Analytics at Syngenta Group, to discuss how predictive analytics, cultural transformation, and employee insights are reshaping HR strategies. Neeraj shares impactful stories and practical approaches from his experience at Novartis and Philips, highlighting how analytics can dramatically improve employee retention, business outcomes, and overall organizational effectiveness.

I met this week's guest while he was a SVP of Sales at one of my customer accounts. Our first meaningful interaction was him letting me know that they were churning. That conversation led to additional conversations, zoom calls, and he turned into not only someone I can look to as a Mentor, but is an all around good person. He has made his living in the lead generation space, and this conversation was when he just took his experience to Promowise, which is a B2B Demand Generation Service that uses Competitor Intelligence, Buyer Intent, and Predictive Analytics.Without further ado, please join me in welcoming Mr. Joe Espinosa to the show! In this week's episode, we discussed:Always Solving Problems and Diving Deeper (As A Child) What Do You Want/Match Your Job With Your Skills/LifestylePlanning In Job HuntWhat You Say No To Is ImportantMindset CourseMuch More!Please enjoy this week's episode with Joe Espinosa. ____________________________________________________________________________I am now in the early stages of writing my first book! In this book, I will be telling my story of getting into sales and the lessons I have learned so far, and intertwine stories, tips, and advice from the Top Sales Professionals In The World! As a first time author, I want to share these interviews with you all, and take you on this book writing journey with me!Like the show? Subscribe to the email: https://mailchi.mp/a71e58dacffb/welcome-to-the-20-podcast-communityI want your feedback!Reach out to 20percentpodcastquestions@gmail.com, or find me on LinkedIn.If you know anyone who would benefit from this show, share it along! If you know of anyone who would be great to interview, please drop me a line!Enjoy the show!

956: How can AI, data analytics, and predictive modeling revolutionize healthcare? In this episode of Technovation, host Peter High interviews Matt Kull, Chief Information and Digital Officer at Inova Health System, about how AI and data are reshaping patient care. Matt shares how AI is helping to automate administrative tasks, secure patient data, and predict hospital resource needs. He also discusses the future of edge computing and wireless technology in healthcare, ensuring hospitals operate more efficiently while delivering personalized, data-driven treatments.

In this podcast episode, Dr. Jonathan H. Westover talks with with Jennifer Mulholland and Jeff Shuck about conscious leadership. Jennifer Mulholland is an author, strategist, alchemist, executive coach, and co-owner of Plenty Consulting. From a very young age, she's been dedicated to raising the consciousness of people on the planet. For the last decade, she and her business partner, Jeff Shuck, have helped thousands of conscious leaders and businesses grow in revenue, impact, and fulfillment. Before becoming co-owner of Plenty, Jennifer was Chief Innovation Officer at SunGard, a Fortune 500 technology company. She founded several businesses focused on bridging the gap between information and impact in healthcare, technology, and holistic wellbeing. She is a certified Reiki and Theta healer trained in shamanic and energy medicine. She has a B.S. degree in Exercise and Sports Science, Psychology, and Coaching from the University of Utah. Jennifer was a two-sport Division I athlete and captain at the University of Delaware, playing both field hockey and lacrosse. She lives in Park City, Utah, where she enjoys an active, outdoor lifestyle with her husband and two children in the mountain town she's called home for almost thirty years. Jeff Shuck is an accomplished leader and entrepreneur with deep experience in leadership development, consulting, and social impact. Jeff is co-owner of Plenty Consulting with his business partner Jennifer Mulholland. Together, they have helped thousands of for-profit and non-profit leaders and organizations create their strategies, grow their fundraising, innovate new programs, and develop conscious cultures. Before founding Plenty, Jeff was co-founder and CEO of fundraising firm Event 360, raising nearly a billion dollars for charity over 12 years. Jeff graduated Phi Beta Kappa from the University of Rochester and earned an MBA from Kellogg School of Management and an MS in Predictive Analytics from Northwestern. His work in positive change and social impact has been featured in a variety of outlets such as Marketplace, the Wall Street Journal, Fatherly, and the Stanford Social Innovation Review. Jeff is an avid musician, writer, and fitness enthusiast and lives in Michigan City, Indiana with his wife and four children.  Check out all of the podcasts in the HCI Podcast Network!

In this episode, we dive into the power of data in real estate with Marc Rutzen, CEO and Co-Founder of Hello Data. From his early days in real estate brokerage to building and selling a multifamily analytics startup to Walker & Dunlop, Marc shares how data, AI, and predictive analytics are transforming how investors underwrite, analyze, and scale multifamily properties.Want to know how AI can help you underwrite deals faster, optimize rents, and make more informed investment decisions? This conversation covers everything from revenue management lawsuits to the future of data-driven real estate investing.What You'll Learn in This Episode:How AI and machine learning are transforming real estate underwritingThe biggest challenges in real estate data accuracy and how to fix themThe impact of the RealPage revenue management lawsuit on multifamilyHow Marc built and sold his first startup, Enodo, to Walker & DunlopThe power of data in investment decisions and predicting market trendsWhat's next for Hello Data and how it's helping investors gain an edgeGuest InformationMarc Rutzen – CEO & Co-Founder, Hello DataWebsite: Hello DataHost InformationJake & Gino – Multifamily Investing ExpertsWebsite: Jake & GinoInstagram: @jakeandginoDon't forget to like, comment, and subscribe for more real estate insights. We're here to help create multifamily entrepreneurs... Here's how: Brand New? Start Here: https://jakeandgino.mykajabi.com/free-wheelbarrowprofits Want To Get Into Multifamily Real Estate Or Scale Your Current Portfolio Faster? Apply to join our PREMIER MULTIFAMILY INVESTING COMMUNITY & MENTORSHIP PROGRAM. (*Note: Our community is not for beginner investors)