Podcasts about use cases

In dieser Episode dreht sich alles um das Thema Künstliche Intelligenz in der Versicherungsbranche – und wir bringen Licht ins Dunkel zwischen Hype und echter Praxis. Unser Co-Host Alex Bernert spricht mit den Experten von msg: Andrea van Aubel, Vorstand und KI-Pionierin mit über 30 Jahren Branchenerfahrung, sowie Axel Helmert, Mr. AI für die Lebensversicherungswelt und Head of Research and Development. Gemeinsam gehen sie der Frage nach: Was funktioniert mit KI in Versicherungen tatsächlich schon heute? Wo liegen die Herausforderungen und Stolperfallen? Und wie verändern Agentic AI und Reasoning-Modelle die Geschäftsprozesse von Leben über Kranken bis hin zu Schaden und Unfall?Von konkreten Beispielen aus dem Schadenmanagement bis hin zu Visionen für die Produktentwicklung – die Folge bietet ehrliche Einblicke, Expertenwissen und einen spannenden Ausblick auf die nächsten Jahre. Freut euch auf praxisnahe Use Cases, aufschlussreiche Diskussionen über Governance und Compliance sowie die berühmte Kristallkugel am Ende: Was wird KI wirklich im Versicherungsgeschäft verändern? Viel Spaß beim Zuhören!Schreibt uns gerne eine Nachricht!Dieser Podcast wird von msg unterstützt. Die msg Gruppe ist führender Anbieter im Versicherungsmarkt für moderne Systemlösungen. Von Automation- über KI- und SAP- bis hin zu modernen Kommunikations- und Vertriebslösungen. Die msg bündelt moderne Technologien mit tiefem Branchen Know-How. Folge uns auf unserer LinkedIn Unternehmensseite für weitere spannende Updates.Unsere Website: https://www.insurancemondaypodcast.de/Du möchtest Gast beim Insurance Monday Podcast sein? Schreibe uns unter info@insurancemondaypodcast.de und wir melden uns umgehend bei Dir.Dieser Podcast wird von dean productions produziert.Vielen Dank, dass Du unseren Podcast hörst!

It's all about Data Pipelines. Join Pure Storage Field Solution Architect Chad Hendron and Solutions Director Andrew Silifant for a deep dive into the evolution of data management, focusing on the Data Lakehouse architecture and its role in the age of AI and ML. Our discussion looks at the Data Lakehouse as a powerful combination of a data lake and a data warehouse, solving problems like "data swamps” and proprietary formats of older systems. Viewers will learn about technological advancements, such as object storage and open table formats, that have made this new architecture possible, allowing for greater standardization and multiple tooling functions to access the same data. Our guests also explore current industry trends, including a look at Dremio's 2025 report showing the rapid adoption of Data Lakehouses, particularly as a replacement for older, inefficient systems like cloud data warehouses and traditional data lakes. Gain insight into the drivers behind this migration, including the exponential growth of unstructured data and the need to control cloud expenditure by being more prescriptive about what data is stored in the cloud versus on-premises. Andrew provides a detailed breakdown of processing architectures and the critical importance of meeting SLAs to avoid costly and frustrating pipeline breaks in regulated industries like banking. Finally, we provide practical takeaways and a real-world case study. Chad shares a customer success story about replacing a large, complex Hadoop cluster with a streamlined Dremio and Pure Storage solution, highlighting the massive reduction in physical space, power consumption, and management complexity. Both guests emphasize the need for better governance practices to manage cloud spend and risk. Andrew underscores the essential, full-circle role of databases—from the "alpha" of data creation to the "omega" of feature stores and vector databases for modern AI use cases like Retrieval-Augmented Generation (RAG). Tune in to understand how a holistic data strategy, including Pure's Enterprise Data Cloud, can simplify infrastructure and future-proof your organization for the next wave of data-intensive workloads. To learn more, visit https://www.purestorage.com/solutions/ai/data-warehouse-streaming-analytics.html Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts: https://purecommunity.purestorage.com/ 00:00 Intro and Welcome 03:15 Data Lakehouse Primer 08:31 Stat of the Episode on Lakehouse Usage 10:50 Challenges with Data Pipeline access 13:58 Assessing Organization Success with Data Cleaning 16:07 Use Cases for the Data Lakehouse 20:41 Case Study on Data Lakehouse Use Case 24:11 Hot Takes Segment

Wie schafft man es als Studierendenteam, eine der bekanntesten KI-Communities Europas aufzubauen – inklusive großer Events, Research-Kooperationen und richtig hands-on Projekten?

Companies love to talk about AI transformation. They've created policies, distributed tools, checked boxes. But behind closed doors, overwhelmed employees are phoning it in with AI slop, leaders can't tell the difference, and the workforce is too exhausted to learn anything new. That's not transformation. That's theater. In this episode of The Trending Communicator, host Dan Nestle welcomes back Anne Green, CEO of G&S Integrated Marketing Communications Group and host of the Building Brand Gravity podcast. Anne brings a rare perspective—she's orchestrated one of the industry's most successful agency transformations while navigating this AI identity crisis firsthand. Having built Cooper Katz from startup to acquisition, then taken the helm at G&S and expanded it through strategic acquisitions, she's seen transformation from every angle. Anne and Dan cut through the AI hype to examine what's really stalling adoption: a workforce stretched too thin to experiment, psychological bandwidth at zero, and the uncomfortable reality that AI doesn't automatically make anyone smarter—we have to fight for it. They explore why agencies may be better positioned to crack this code, what the dot-com bubble can teach us about today's AI valuations, and why the talent pipeline conversation keeps shifting from entry-level to mid-level to senior without anyone knowing who's actually at risk. Listen in and hear about... Why AI acts like a "personality intensifier"—making good workers better and mediocre workers worse The workforce conundrum: people too overwhelmed to upskill, yet facing existential pressure to adapt What agencies are doing differently that corporate teams are missing Why "showing your work" on AI builds trust while hiding it destroys it Anne's mantra for surviving this moment: "Hold less tightly. Unclench." Notable Quotes from Anne Green: "The biggest thing is from the upskilling side, this is a very complex people transformation moment. And we are really crap in this society at upskilling people. We're not good at it." [00:11:32 – 00:11:49] "AI doesn't automatically augment our intelligence. We have to fight for it and we have to build it and we have to embrace it. But it is a journey." [00:18:49 – 00:19:02] "There is, especially at this moment, a beauty of the beginner's mind, that person who's coming in with curiosity and freshness..." [00:57:00 – 00:57:40] "Hold less tightly, unclench the hands and open up the palms. That's the last thing I'd offer, folks. Hold less tightly." [01:04:38 – 01:04:47] Resources and Links Dan Nestle Inquisitive Communications | Website The Trending Communicator | Website Communications Trends from Trending Communicators | Dan Nestle's Substack Dan Nestle | LinkedIn Anne Green G&S Integrated Marketing Communications | gscommunications.com Building Brand Gravity Podcast | Apple Podcasts Anne Green | LinkedIn Timestamps 0:00:00 AI Transformation Hype and Restrictive Corporate Policies0:06:43 Corporate Struggles with AI Adoption and Change Management0:12:26 Bubble vs. Real Change—Comparing Dot-Com Era to AI Revolution0:19:04 AI-Augmented Skills—Best and Worst Amplified0:25:56 Human/Machine Symbiosis: How AI Changes Us0:30:01 Freedom to Innovate: Builders, Use Cases, and Organizational Constraints0:35:10 Overworked Workforce, Layoffs, and AI's Impact on Talent Strategy0:42:11 Talent Displacement, Business Model Evolution, and Pipeline Changes0:48:25 Rethinking Comms Career Tracks with AI Integration0:54:02 Entry-Level Realities: Training, Context, and Curiosity1:01:16 Importance of In-Person Collaboration in the Age of AI1:04:00 Leading Through Change—Kindness, Grace, and Adaptability1:05:48 Wrap-Up, Final Thoughts, and Podcast Promotion (Notes co-created by Human Dan, Claude, and Castmagic) Learn more about your ad choices. Visit megaphone.fm/adchoices

In der heutigen Episode spreche ich mit Joachim Lorenz über unser gemeinsames Buch «Microlearning und Nanolearning – Strategien, Methoden und KI-Tools für wirksames Lernen». Wir berichten von der Entstehungsidee des Buches und diskutieren zentrale Fragen moderner Lernarchitekturen in einer von KI geprägten Welt. Joachim ist Experte für Wissensmanagement und KI-Transformation und gibt sein fundiertes Know-how als Forscher, Keynote-Speaker und KI-Trainer weiter. Gemeinsam diskutieren wir, wie Microlearning und Nanolearning Lernprozesse präziser, wirksamer und anschlussfähiger machen. Uns interessiert die Frage, wie KI Organisationen dabei unterstützt, Lerntransfer zu verbessern und personalisierte Lernwege zu entwickeln. Weitere Themen dieser Episode: -Unser digitaler Schreibprozess über Länder und Zeitzonen hinweg -Microlearning vs. Nanolearning und die Verbindung zur didaktischen Reduktion -Konkrete Beispiele und Use Cases aus der Praxis -Der Einfluss von KI auf Wissensmanagement, Weiterbildung und Lernkultur -Empfehlungen für Organisationen, die mit Micro- und Nanolearning starten möchten -Was beim Lernen trotz KI unersetzlich menschlich bleibt Eine Episode für alle, die sich mit moderner Erwachsenenbildung, KI-Kompetenz, Lernentwicklung oder organisationalem Lernen beschäftigen. Vernetze dich mit Joachim auf LinkedIn: https://www.linkedin.com/in/joachimlorenz/ Webseite Joachim Lorenz: https://joachimlorenz.digital Stehst du als Trainer, Ausbildende oder Coach vor der Aufgabe, Kernbotschaften aus umfangreichem Stoff herauszuarbeiten? Dann unterstütze ich dich gerne dabei. Vereinbare gleich hier ein Kontaktgespräch: https://education-minds.com/

Was passiert, wenn „Suche" nicht mehr bedeutet, Worte einzutippen – sondern einfach ein Foto zu machen? In dieser Folge spricht Dr. Sebastian Voigt mit Anna Lukasson-Herzig, CEO & Gründerin von nyris, über visuelle Suche als Interface: im Retail geht es um Experience und Conversion, in der Industrie um Prozesse, Ersatzteile und Ausfallzeiten. Dabei wird klar: Der Nutzen (und damit auch das Pricing) hängt stark vom konkreten Use Case ab. Anna erklärt, warum visuelle Suche in manchen Kategorien hervorragend funktioniert – und warum andere naheliegende Use Cases (wie Fashion) scheitern. Gleichzeitig zeigt sie, wie nyris früh auf Skalierung gesetzt hat und warum in solchen Systemen nicht nur Modellqualität zählt, sondern vor allem Geschwindigkeit und robuste Integration in reale Workflows. Im Gespräch geht es außerdem um konkrete Pricing-Mechaniken: API-Calls als Value Driver, Paketlogiken, Sockel/Lizenzmodelle zur Abbildung von Setup-Aufwand – und die Herausforderung, dass der tatsächliche Sales- und Setup-Aufwand je Kunde oft erst spät sichtbar wird. Über den Gast Anna Lukasson-Herzig ist CEO & Gründerin von nyris. Sie baut mit nyris eine visuelle Suchmaschine, die Unternehmen hilft, Produkte und Ersatzteile per Bild schneller zu identifizieren – besonders in Industrie und Handel. nyris sitzt in Berlin und Düsseldorf und ist in über 50 Ländern aktiv. Anna hat Ingenieurwesen an der RWTH Aachen studiert und in der Promotion im Bereich Prozessautomatisierung früh mit KI-Methoden für visuelle Messdaten gearbeitet.

In der heutigen Episode spreche ich mit Joachim Lorenz über unser gemeinsames Buch «Microlearning und Nanolearning – Strategien, Methoden und KI-Tools für wirksames Lernen». Wir berichten von der Entstehungsidee des Buches und diskutieren zentrale Fragen moderner Lernarchitekturen in einer von KI geprägten Welt. Joachim ist Experte für Wissensmanagement und KI-Transformation und gibt sein fundiertes Know-how als Forscher, Keynote-Speaker und KI-Trainer weiter. Gemeinsam diskutieren wir, wie Microlearning und Nanolearning Lernprozesse präziser, wirksamer und anschlussfähiger machen. Uns interessiert die Frage, wie KI Organisationen dabei unterstützt, Lerntransfer zu verbessern und personalisierte Lernwege zu entwickeln. Weitere Themen dieser Episode: -Unser digitaler Schreibprozess über Länder und Zeitzonen hinweg -Microlearning vs. Nanolearning und die Verbindung zur didaktischen Reduktion -Konkrete Beispiele und Use Cases aus der Praxis -Der Einfluss von KI auf Wissensmanagement, Weiterbildung und Lernkultur -Empfehlungen für Organisationen, die mit Micro- und Nanolearning starten möchten -Was beim Lernen trotz KI unersetzlich menschlich bleibt Eine Episode für alle, die sich mit moderner Erwachsenenbildung, KI-Kompetenz, Lernentwicklung oder organisationalem Lernen beschäftigen. Vernetze dich mit Joachim auf LinkedIn: https://www.linkedin.com/in/joachimlorenz/ Webseite Joachim Lorenz: https://joachimlorenz.digital Stehst du als Trainer, Ausbildende oder Coach vor der Aufgabe, Kernbotschaften aus umfangreichem Stoff herauszuarbeiten? Dann unterstütze ich dich gerne dabei. Vereinbare gleich hier ein Kontaktgespräch: https://education-minds.com/

Wie macht man IoT anfassbar? In dieser Folge spricht Jonas Rashedi mit Laura Biermann vom IoT Future Lab bei Vodafone. Laura entwickelt mit ihrem Team Prototypen für Unternehmen – von der Idee bis zum funktionierenden Proof of Concept. Ob smarte Boje zur Wasserqualitätsüberwachung, Warentracking in der Schokoladenfabrik oder adaptive Smart-City-Lösungen: Laura zeigt, wie Vodafone IoT einsetzt – schnell, kreativ und methodisch. Und sie erklärt, warum IoT und KI zusammengehören, wenn aus Daten echte Erkenntnisse werden sollen. Eine Folge für alle, die IoT nicht nur als Technik, sondern als Innovationstreiber verstehen wollen. MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für richtig gute Podcasts. Zum LinkedIn-Profil von Laura: https://www.linkedin.com/in/laura-biermann95/ Zur Webseite von Vodafone: https://www.vodafone.de Zu allen wichtigen Links rund um Jonas und den Podcast: https://linktr.ee/jonas.rashedi 00:00 Vorstellung Laura & Vodafone IoT Future Lab 08:00 Was ist IoT & wie funktioniert es praktisch? 14:00 Use Case 1: Smarte Boje zur Wasserüberwachung 20:00 Use Case 2: RFID & Warentracking in der Produktion 28:00 Prozess: Vom Kundenproblem zum Prototyp 36:00 AIoT, Predictive Maintenance & Smart City 44:00 Datenplattformen & Silo-Vermeidung

Software Defined Vehicles sind weit mehr als ein technisches Upgrade, sie markieren einen kulturellen, organisatorischen und strategischen Paradigmenwechsel in der Automobilindustrie. Die Fahrzeuge, die heute auf unseren Straßen stehen, sind digitale Ökosysteme auf Rädern: evolvierende Systeme, permanente Beta-Versionen, Plattformen für Dienste, Daten und neue Geschäftsmodelle. In dieser Episode nehme ich euch mit auf eine Reise durch meine Eindrücke einer aktuellen SDV-Konferenz, nicht als klassischer Bericht, sondern als Sammlung von Gedanken, Beobachtungen und Spannungsfeldern, die sich in Diskussionen, Panels und Gesprächen verdichtet haben. Es geht um die Frage, wie wir die immense Komplexität softwaregetriebener Fahrzeuge so orchestrieren, dass daraus wertstiftende, vertrauenswürdige und menschzentrierte Nutzererlebnisse entstehen. Wir betrachten drei Perspektiven auf SDVs, technisch, geschäftlich und aus Sicht von UX/HMI, und beleuchten, warum Software Defined Vehicles ohne ein tiefes Verständnis des Menschen nicht funktionieren werden. Danach geht es um SDV-Strategien: vom hardwarezentrierten Artefakt zur skalierbaren Mobilitätsplattform. Und schließlich sprechen wir über Use Cases: was heute schon Realität ist, was morgen kommt und welche Aspekte die Branche bislang noch übersehen hat. Taucht mit mir ein in die Zukunft der Mobilität und in die Frage, was Software Defined Vehicles wirklich bedeuten.

Traffic congestion isn't just a daily annoyance; it's a multi-billion dollar drain on the global economy. In this episode, we explore a concrete, real-world application of quantum computing that aims to solve this problem today. Tal David, Co-founder and CEO of Quantum Art, joins host Konstantinos Karagiannis to discuss the company's major new partnership with Ayalon Highways in Israel. Tal breaks down how they are moving beyond theoretical simulations to use quantum algorithms for synchronizing traffic lights and managing flow in metropolitan areas, potentially reducing commute times and optimizing city planning in ways classical computers simply can't handle.   Beyond the use case, Tal takes us under the hood of Quantum Art's unique trapped-ion architecture. Unlike competitors that rely on physically shuttling ions, Quantum Art utilizes optical tweezers and massive multi-qubit gates to perform operations on dozens of qubits at once, drastically improving speed and fidelity. We also dive into their aggressive roadmap, which includes a 50-qubit system launching soon, a 1,000-qubit "Perspective" system targeted for 2027, and how they are leveraging NVIDIA technology to power the hybrid future of quantum-classical processing.   For more information on Quantum Art, visit https://www.quantum-art.tech/.   Visit Protiviti at www.protiviti.com/US-en/technology-consulting/quantum-computing-services  to learn more about how Protiviti is helping organizations get post-quantum ready.  Follow host Konstantinos Karagiannis on all socials: @KonstantHacker and follow Protiviti Technology on LinkedIn and X: @ProtivitiTech.             Questions and comments are welcome!  Theme song by David Schwartz, copyright 2021.  The views expressed by the participants of this program are their own and do not represent the views of, nor are they endorsed by, Protiviti Inc., The Post-Quantum World, or their respective officers, directors, employees, agents, representatives, shareholders, or subsidiaries.  None of the content should be considered investment advice, as an offer or solicitation of an offer to buy or sell, or as an endorsement of any company, security, fund, or other securities or non-securities offering. Thanks for listening to this podcast. Protiviti Inc. is an equal opportunity employer, including minorities, females, people with disabilities, and veterans.  

Key TakeawaysMullican expresses the value of the event, and given that AI and Copilot have matured, the sessions at the 2025 AI Agent & Copilot Summit NA will shift from a focus on experimentation to practical applications that deliver real impact.As a returning Programming Committee Board member, Mullican highlights the "unprecedented number of submissions this time around,” making it tough to choose sessions for 2025. The event will offer a mix of visionary talks, practical use cases, and deep dives to serve both tech and business audiences.Mullican shares how business leaders can use the event to "adapt to a new reality," as it aims to “cut through the hype” around AI and focus on practical realities. Even though AI offers transformative potential, most businesses will adopt it gradually, using tools like copilots to improve efficiency rather than undergoing radical overnight changes. "I expect that there's going to be a lot of discussion about. It's just these different layers, these different levels of AI hype and truth." Visit Cloud Wars for more.

www.iotusecase.com#DigitalBusiness #PredictiveMaintenance #ConnectedProductIn dieser Episode spricht Podcast-Host Dr. Peter Schopf mit Jonas Kaltenbach, IT-Consultant und Product Owner IoT bei doubleSlash, sowie mit Marina Rast, Sales Consultant und Partner Managerin. Im Fokus steht ein ganzheitlicher IoT-Ansatz für den Maschinen- und Anlagenbau: von der sicheren Datenanbindung über smarte Services bis hin zur erfolgreichen Monetarisierung digitaler Angebote. Die drei diskutieren, warum viele Unternehmen heute zwar vernetzte Produkte haben, aber den geschäftlichen Mehrwert noch nicht voll ausschöpfen – und wie sich genau das ändern lässt.Folge 198 auf einen Blick (und Klick):(09:11) Herausforderungen, Potenziale und Status quo – So sieht der Use Case in der Praxis aus(19:25) Lösungen, Angebote und Services – Ein Blick auf die eingesetzten Technologien(26:10) Übertragbarkeit, Skalierung und nächste Schritte – So könnt ihr diesen Use Case nutzenPodcast ZusammenfassungIoT als Umsatztreiber: Wie Unternehmen mit digitalen Services neue Geschäftsmodelle startenViele Industrieunternehmen haben erste Verbindungen und Datenintegrationen geschaffen. Doch wie entsteht aus Konnektivität tatsächlicher Umsatz? Und wie werden digitale Services skalierbar, sicher und profitabel? Genau darauf geben Jonas und Marina von doubleSlash konkrete Einblicke aus der Praxis.Die Herausforderungen:Heterogene Datenquellen, fehlende Skalierung in der IT-Architektur, fragmentierte Stakeholder und komplexe Abrechnungs- und Steuerlogiken im internationalen Umfeld. Zudem braucht Predictive Maintenance zuverlässige Datenhistorien, die erst aufgebaut werden müssen.Die Lösungen:doubleSlash setzt auf einen durchgängigen Dreiklang:Connect – sichere Anbindung von Maschinen, Datenstandardisierung, Update-Fähigkeit unter anderem mit Blick auf Cyber Resilience Act.Make Smart – KI und Machine Learning für Predictive Maintenance, Remote Services sowie effiziente Wissensnutzung über generative KI.Monetize – Aufbau skalierbarer Abrechnungssysteme, digitale Serviceprodukte im Fahrzeug und in der Industrie, Partner-Ökosysteme und modulare Softwarebausteine zur schnellen Umsetzung.Das Ergebnis:Von neuen Umsatzmodellen über wiederkehrende Erlöse bis zur Reduktion von Servicekosten zeigt die Folge, wie IoT wirtschaftlich wird – Schritt für Schritt, ohne Überforderung.-----Relevante Folgenlinks:Peter (https://www.linkedin.com/in/peter-schopf/)Marina (https://www.linkedin.com/in/marina-rast-70542821a/)Jonas (https://www.linkedin.com/in/jonaskaltenbach/)Update Manager (https://www.doubleslash.de/leistungen/iot/update-manager/)Jetzt IoT Use Case auf LinkedIn folgen1x monatlich IoT Use Case Update erhalten

What if your show had a format designed only for your super fans? Today, we look at what a private podcast actually is and how it works behind the scenes. We're joined by trusted podcasting expert Cliff Ravenscraft, who helps us understand the mechanics: how access is controlled, how episodes are delivered, and why a private feed functions differently from a public show. Cliff explains how creators use private podcasts for focused communication, training, or more personal updates, and why clarity on purpose matters more than fancy tools. We also explore the expectations you set for your audience, and how those choices help mold the value of your private podcast.Episode Highlights:[02:36] Upcoming Episodes and Announcements[05:31] Cliff Ravenscraft on Private Podcasts[08:00] Benefits and Use Cases of Private Podcasts[18:01] Monetization and Platforms for Private Podcasts[19:53] Hosting Private Podcasts on Your Own Website[24:41] Substack as a Private Podcast Platform[26:20] Legal Disclaimer and Privacy Concerns[30:49] Marketing Strategies for Private vs. Public Podcasts[45:05] Creating a Private Podcast for Courses and BusinessLinks & Resources: Join The Empowered Podcasting Facebook Group:www.facebook.com/groups/empoweredpodcasting⁠Cliff Ravenscraft:https://www.cliffravenscraft.comPodcast Answer Man: www.cliffravenscraft.com/podcasts/podcast-answer-manBC Babbles: https://bcbabbles.substack.comTo Have Your Podcast Considered For Evaluation, Please Complete This Form: https://docs.google.com/forms/d/e/1FAIpQLSc8-Xv6O6lrNPcPJwj3N0Z5Osdl-5kHGz_PiAU45UPreview of our Upcoming Evaluation Carefree Highway Revisited: https://www.podbean.com/ea/pb-j6vtj-1961b14Rodecaster Pro 2: https://amzn.to/41h9yuNRemember to rate, follow, share, and review our podcast. Your support helps us grow and bring valuable content to the podcasting community.Join us LIVE every weekday morning at 7 am ET (US) on ⁠Clubhouse⁠: ⁠⁠⁠ https://www.clubhouse.com/house/empowered-podcasting-e6nlrk0w⁠⁠Or Join us on Chatter: https://preview.chattersocial.io/group/98a69881-f328-4eae-bf3c-9b0bb741481dLive on YouTube: ⁠https://youtube.com/@marcronick⁠Brought to you by⁠ ⁠iRonickMedia.com⁠⁠ Please note that some links may be affiliate links, which support the hosts of the PMC. Thank you!--- Send in your mailbag question at:⁠ https://www.podpage.com/pmc/contact/⁠ or ⁠marc@ironickmedia.com⁠Want to be a guest on The Podcasting Morning Chat? Send me a message on PodMatch, here: ⁠https://www.podmatch.com/hostdetailpreview/1729879899384520035bad21b⁠

freelance.group – In dieser Folge spreche ich mit René Troche, COO von freelance.de über die Fragen und Vorbehalte rund um Freelancer. Fakt ist: Der Freelancer Markt wächst weiter und stellt für Unternehmen eine Chance dar, mit Wissen, neuen Perspektiven und Unternehmertum Projekte voranzutreiben. Warum gerade junge Freelancer eine spannende Perspektive bringen können und worauf es als Unternehmen zu achten gibt, klären wir für euch in dieser Folge.Werbepartner der Folge: beyobie Datenchaos im HR-Team? beyobie bringt Klarheit. Wenn es einen Frust hinter Datenanalysen im HR gibt, dann ist es dieser: zu viel Aufwand, zu wenig Aussagekraft. Mit beyobie verbindet ihr ganz einfach eure HR-Systeme und verwandelt eure HR-Daten im Handumdrehen in starke Argumente fürs Management – ganz ohne Excel-Marathon. 

Paul Becker, Gründer von recap, spricht über die Unterschiede zwischen B2C und B2B Produktfindung. Er teilt, warum sie bei recap bewusst mit Revenue-Based Finance starteten, wie sie durch "Eat Your Own Dog Food" Vertrauen aufbauten und warum manchmal blanker Opportunismus der beste Startpunkt ist. Was du lernst: Die Unterschiede zwischen B2C und B2B Produktfindung Wie du den richtigen ersten Use-Case findest Warum Proof of Concept entscheidend ist Den richtigen Mix aus Vision und Pragmatismus ALLES ZU UNICORN BAKERY: https://stan.store/fabiantausch Paul Becker & Chris Püllen findest du hier: re:cap: https://www.re-cap.com/de Paul: https://www.linkedin.com/in/paulbckr/Chris: https://www.linkedin.com/in/chrisnaro/ naro: https://www.naroiq.com/  Join our Founder Tactics Newsletter: 2x die Woche bekommst du die Taktiken der besten Gründer der Welt direkt ins Postfach: https://www.tactics.unicornbakery.de/ 

Vom „LinkedIn Cringe Generator“ bis zum KI-Tarifvertrag: Max Mundhenke erklärt, warum Unternehmen oft am Overengineering scheitern, wie man echte KI-Use-Cases findet und warum er nicht an die baldige AGI glaubt.

In dieser Episode von ARRtist on Air spricht Gastgeber Matthias Ernst mit Jens Kohnen, Managing Director und Go-to-Market-Verantwortlicher bei Hellgate (ehemals Starfish). Das Unternehmen bietet eine modulare, Composable Payment Architecture an, die Enterprises hilft, komplexe, internationale Zahlungsprozesse zu orchestrieren – ohne sich an einzelne Zahlungsdienstleister zu binden. Jens teilt Insights über die Transformation vom Softwaredienstleister zum SaaS-Anbieter, die Learnings aus dem Vertrieb an Enterprise-Kunden und warum eine modulare Architektur entscheidend ist, um sich im "Brownfield" von Legacy-Systemen zu behaupten. Außerdem diskutieren sie über spannende Use Cases wie In-Car-Payment, Agentic Commerce und die Herausforderungen bei der Skalierung in den US-Markt. Hellgate® https://hellgate.io Linkedin https://www.linkedin.com/in/jenskohnen/

In this episode of Builders Bench, Tim Brookman discusses various projects within the Cardano ecosystem, focusing on the practical applications of blockchain technology. He emphasizes the importance of starting with use cases rather than technology, particularly in identity solutions and asset tokenization. The conversation delves into the regulatory challenges faced in Germany, the significance of compliance, and the future of identity management in the blockchain space. Tim also highlights the potential of tokenizing gold and other assets, aiming to create a sustainable ecosystem on Cardano that attracts institutional investors.TakeawaysBlockchain should start with use cases, not technology.Identity solutions are crucial for user adoption.Tokenization of assets can revolutionize investment.Compliance is essential for building trust.Gold can serve as a stable asset in crypto.Regulatory challenges are significant but necessary.Building a sustainable ecosystem requires collaboration.Institutional investors are key to market growth.Transparency and trust are vital in blockchain projects.The future of identity management is evolving with technology.Chapters00:00 Introduction to Blockchain Use Cases03:01 Identity Solutions and Regulatory Challenges06:12 Tokenization of Assets and Gold08:53 Finest and Institutional Partnerships11:57 Navigating Compliance and Regulations15:07 The Future of Identity and Trust in Blockchain17:48 Building a Sustainable Ecosystem on Cardano21:02 Conclusion and Future ProspectsDISCLAIMER: This content is for informational and educational purposes only and is not financial, investment, or legal advice. I am not affiliated with, nor compensated by, the project discussed—no tokens, payments, or incentives received. I do not hold a stake in the project, including private or future allocations. All views are my own, based on public information. Always do your own research and consult a licensed advisor before investing. Crypto investments carry high risk, and past performance is no guarantee of future results. I am not responsible for any decisions you make based on this content.

Community-Liebling #63 - Alexandra Neye, Head of People & Culture, wirft einen Blick auf Herausforderungen und Lösungen für die Kommunikation und Bindung im Blue Collar Bereich und präsentiert erprobte Use Cases, von denen wir alle lernen können. Begleite uns in dieser Episode auf der Entdeckungsreise nach Strategien für eine effektive Mitarbeiterkommunikation in Arbeitsumgebungen, die nicht laptopbasiert sind.Werbepartner dieser Episode: Haufe AkademieSocial Skills sind kein „Nice-to-have“ mehr – sie sind das Fundament, auf dem erfolgreiche Zusammenarbeit und Führung in der Zukunft aufbauen. Während künstliche Intelligenz zunehmend fachliche Aufgaben übernimmt, bleiben Fähigkeiten wie Konfliktmanagement, Problemlösung und Vertrauensaufbau der entscheidende menschliche Unterschied.Die Haufe Akademie bietet dafür vielfältige Weiterbildungsangebote an: über 300 Themen von Kommunikation & Präsentation bis Persönlichkeit & Selbstmanagement – flexibel in Präsenz, Live-Online oder komplett digital. Mit dem KI-Berater findet ihr das perfekte Training, und dank transparentem Bewertungssystem seht ihr sofort, welche Seminare besonders beliebt sind.⁠⁠Hier⁠⁠ geht's zum Angebot von Haufe Akademie.Hier findest du mehr über unsBesuche unsere ⁠⁠⁠⁠⁠⁠⁠⁠⁠Website⁠⁠⁠⁠⁠⁠⁠⁠⁠Folge uns auf ⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠ & ⁠⁠⁠Instagram⁠⁠⁠Schreib uns eine ⁠⁠⁠⁠⁠⁠⁠⁠⁠Hörermail⁠⁠⁠⁠⁠⁠⁠⁠⁠ mit Themenvorschlägen oder WunschgästenFür mehr Infos rund um HR, melde dich zu unserem ⁠⁠⁠Newsletter⁠⁠⁠ an.

www.iotusecase.com#OTMonitoring #OTCybersecurity #Anomalieerkennung In Episode 197 des IoT Use Case Podcasts spricht Co-Host Dr. Peter Schopf mit Jan Fischer, Head of Sales bei Rhebo aus Leipzig. Im Mittelpunkt stehen OT-Cybersecurity und der Schutz industrieller Netze in kritischen Infrastrukturen, der Fertigung und der Logistik. Jan erklärt, wie Rhebo Brownfield-Umgebungen passiv überwacht, Anomalien sichtbar macht und warum IT/OT-Konvergenz nicht automatisch bedeutet, beide Welten vollständig zu verheiraten. Es geht um reale Vorfälle aus der Praxis, Social Engineering über LinkedIn, vergessene Assets im Netz und die Frage, welche Rolle KI heute tatsächlich in der OT-Security spielt.Folge 197 auf einen Blick (und Klick):(04:26) Herausforderungen, Potenziale und Status quo – So sieht der Use Case in der Praxis aus(10:01) Lösungen, Angebote und Services – Ein Blick auf die eingesetzten Technologien(27:46) Übertragbarkeit, Skalierung und nächste Schritte – So könnt ihr diesen Use Case nutzenPodcast ZusammenfassungOT-Cybersecurity im Brownfield. Wie Rhebo industrielle Netze passiv absichertIn dieser Folge zeigt Jan Fischer, wie Unternehmen ihre OT-Security pragmatisch auf ein neues Niveau heben, ohne Produktionsnetze oder kritische Infrastrukturen zu gefährden. Die Ausgangslage sind historisch gewachsene Brownfield-Netzwerke mit alten Protokollen wie Profibus oder Modbus, unverschlüsselter HTTP-Kommunikation, vergessenen Druckern oder Raspberry Pis im Netz und verschleppten Updates auf Security-Komponenten.Die Lösung von Rhebo basiert auf passivem Monitoring. Die Software schneidet den OT-Netzwerkverkehr mit, trennt typische von atypischen Musterbildern und meldet Anomalien frühzeitig. Im Rahmen eines Assessments wird die bestehende Infrastruktur durchleuchtet. Auffällig sind etwa ungeplante DHCP-Server, neue Protokolle, Datenströme ins Ausland oder kompromittierte Systeme nach Social-Engineering-Angriffen. Ein Forensik- und Diagnose-Team bewertet die Funde und leitet konkrete Maßnahmen ab, vom Schließen von Einfallstoren bis zum gezielten Nachrüsten von Security.Jan ordnet außerdem aktuelle Entwicklungen wie NIS2, den Cyber Resilience Act und den Wunsch nach europäischen On-Prem-Lösungen ein und erklärt die Grenzen von KI in der OT-Security. Die Episode richtet sich an Betreiber kritischer Infrastrukturen, Fertigungs- und Logistikunternehmen sowie OT-Verantwortliche, die ihre Netze härten und reale Angriffe früh erkennen möchten.-----Relevante Folgenlinks:Peter (https://www.linkedin.com/in/peter-schopf/)Jan (https://www.linkedin.com/in/jan-fischer-a4552b103/)Rhebo Homepage (https://rhebo.com/de/)Jetzt IoT Use Case auf LinkedIn folgen1x monatlich IoT Use Case Update erhalten

Eric Meyer and Brian Kardell chat with Jay Hoffmann and Jeremy Keith about Shadow DOM's backstory and long origins Mentioned Links Component Model Use Cases Shadow tree encapsulation theory The History of the Web XBL2: First Thoughts and Use Cases 'Web Components' email

AI Advancements and Security Concerns: From Gemini 3 to Data Trust In this episode of Hashtag Trending - The Weekend Edition, hosts Marcel Ganger, John Pinard, and Jim Love discuss the latest AI advancements with a focus on Google's Gemini 3 and new releases from Claude. The conversation covers recent improvements in AI capabilities, challenges related to coding with different models, and the integration of AI in everyday tasks. They emphasize the importance of cybersecurity, especially concerning third-party applications and the potential risk of data breaches. The hosts also delve into the ongoing debate about the trustworthiness of AI developments and the need for staying updated with the latest technological advancements. 00:00 Introduction and Sponsor Message 00:23 AI Wishlist and Star Trek Inspiration 00:42 Weekend Edition Introduction 00:52 Weekly News Recap 01:14 Claude 4.5 and Gemini Comparison 04:30 AI Tools and Personal Experiences 06:12 Gemini's Capabilities and Use Cases 16:40 Coding with AI: Tools and Techniques 25:35 AI Studio and App Development 29:43 AI in Society: Trust and Future Implications 35:26 The Persistence of Human Thrills 36:25 Autonomous Racing and Technology Advancements 37:34 Cybersecurity Concerns with AI Integration 40:07 The Inherent Risks in Software and AI 42:46 The Necessity of Constant Updates 45:34 Trust and Security in Modern Technology 50:40 The Reality of AI and AGI 01:02:22 The Future of AI and Final Thoughts 01:11:05 Conclusion and Sponsor Message

Live from Bangkok - 4 Mind-Blowing AI Use Cases from Our First MeetupWe're coming to you live from Bangkok after hosting our very first Create With AI meetup in Thailand - and it was absolutely incredible! The event sold out weeks in advance, and we got to see four amazing speakers showcase real-world AI applications they've built without traditional coding.In this episode, James joins from Bangkok while Kieran dials in from Norwich to break down everything that happened at the event and discuss the latest developments in AI and no-code tools.The 4 Bangkok Use Cases:1. Instagram AI Agent for E-commerce (Jake)An automated system built in Make that responds to Instagram comments with full product knowledge - inventory, pricing, store locations, all in brand voice. Game-changing for e-commerce customer service.2. Vacation Booking Platform (Stuart)A complete vacation booking system built with Claude Code that integrates with Airbnb's APIs. Stuart showed us how he's tapping into external platforms to create a full-featured booking dashboard.3. Medical Lab Dashboard (Natt)This one blew our minds. Natt came from a biochemistry background and replaced 170 separate Google Forms with one unified dashboard using Xano + Claude Code. She showed us why separating your backend (Xano) from frontend (AI-generated) might be the secret sauce for non-coders building production apps.4. Thailand's No-Code Movement (Opal)Opal runs a 10,000+ member Facebook group dedicated to no-code in Thailand, proving just how advanced and thriving the builder community is over there.What Else We Cover:The Xano + Claude Code strategy: Why building your data structure visually and letting AI handle the UI might be the winning approach for non-technical buildersAI Model Updates: Breaking down Gemini 3's Imagen breakthrough, Claude Opus 4.5's cost reduction, and why ChatGPT keeps confidently lying about datesDesign's Future: Insights from a 20-person design agency founder on whether AI will replace designers (spoiler: only the bad ones)Vibe Coding Reality Check: What experienced developers actually think about AI coding tools and where they still fall shortGoogle's Project IDX: First impressions of the new "Anti-Gravity" code editor from the ex-Windsurf teamCodex vs Claude Code vs Cursor: What we're actually using day-to-day and whyCommunity Spotlight: TechFoundHer's new "We Build" program aiming to get 150 women into building tech venturesUpcoming:Norwich meetup in DecemberMore UK events in the NorthFuture Asia meetups in planningBig announcement coming next week!Want to host your own Create With meetup? Check out our Ambassador Program at https://createwithhq.notion.site/2ab7b439d1fc8080bdcfe7dd1ea2ab69?pvs=105Follow the hosts:James Devonport: @jamesdevonport on XKieran Ball: @kieranball on XLearn more and find events near you:

Sende uns Deine NachrichtIn dieser Solo-Folge spricht Norman Müller ungewohnt klar über die stille Tragödie deutscher KI-Startups. Nicht die Technologie ist das Problem, sondern der fehlende Zugang zum Kunden: Tech-Sprache statt Klartext, Demos, die nicht funktionieren, Features ohne Fokus und Use Cases, die am Alltag des Mittelstands vorbeigehen. Anhand von zehn typischen Fehlern plus „Batman-Bonusproblem“ zeigt Norman, warum in Deutschland niemand „KI“ kaufen will, sondern Sicherheit, Vertrauen und Zuverlässigkeit.Gleichzeitig liefert die Folge eine konkrete Anleitung, wie Gründer es besser machen können: radikale Fokussierung auf ein Problem, verständliche Sprache, das richtige Gesicht im Pitch, Partner-Strategien statt Einzelkämpfer-Mentalität und gezielter Vertrauensaufbau durch Zertifizierungen und Siegel wie „Trusted AI“. Wer wissen will, wie KI-Startups in Deutschland wirklich verkaufen müssen, um nicht am eigenen Echo zu verdursten, ist in dieser Episode genau richtig.------Die Shownotes und das dazugehörige Essay von Norman, sowie Infos findest du auf der Plattform des Bundesverbandes für KI-Transformation e.V.Registriere dich kostenfrei und werde Teil unseres Netzwerks:https://www.venture-ai-germany.space www.bundesverband.aiSupport the show________________ Du möchtest noch mehr? Abonniere den Podcast bei Apple oder Spotify, folge für noch mehr exklusive Inhalte (wie z.B. Videoaufzeichnungen und Hintergrundinformationen) unserer Podcast-Community https://geniusalliance.substack.com und vernetze dich mit Norman auf LinkedIn https://www.linkedin.com/in/muellernorman Bitte unterstütze unsere Arbeit und schreibe uns eine Podcast-Bewertung bei Apple und Spotify. Damit hilfst du uns, weiterhin spannende Gäste in den Podcast einzuladen, von denen wir alle lernen können.

Chris's SummaryJim and I discuss QLAC use cases in the context of retirement income planning and how the Treasury Department designed these annuities to function. We walk through when someone might consider using one, how the absence of cash value affects planning decisions, differences among providers on turning income on early, the impact of mortality credits on later-life payouts, and how QLACs can help stabilize the post-delay period for people focused on long-term secure income. Jim's “Pithy” SummaryChris and I take a deeper dive into QLACs by taking what we talked about last week and looking closer at where these things might fit into a retirement plan. The Treasury Department set QLACs up with no cash value, which locks them straight into that verb-annuity world we often talk about. That design wasn't about selling a new product—it came out of watching people's IRAs get hammered in 2008 and realizing some retirees needed secure income for the older version of themselves. Like so much in retirement planning I see these products as part of the negotiation between the younger you and the older you. The younger you has to decide how much certainty you want in the years when your body and your mind aren't running at full speed. I talk about that all the time: we are degrading, and it doesn't take much—like me tripping on a hike—to be reminded of it. A QLAC is one way to make life easier for the older you by guaranteeing income that covers the Minimum Dignity Floor when you may not want to be making complex decisions. Some insurers let you turn income on earlier, some don't, and those differences matter. Chris brings in sample quotes, and when you see what mortality credits can do in your 80s, you understand why people might actually consider using one. Not everyone needs a QLAC. A lot of you value flexibility and liquidity, and that’s exactly what you give up when you commit to something with no cash value. What I point out here is how easily the conversation around these annuities drifts into investment comparisons when that's not what they're built on. QLACs are insurance products, tied to longevity and mortality credits, and that's the context they belong in. Understanding them inside that framework—what they can do, what they can't, and how their structure differs from account-based assets—is the real goal of this discussion. The post QLAC Use Cases and Planning: EDU #2548 appeared first on The Retirement and IRA Show.

The ways tech has improved suburban life, why urbanism may have peaked, and the first and second order effects of Tesla's full self-driving technology. Then: A Thanksgiving mailbag! Topics include: A note from the Gemini team, a correction on Llama 4, a hater's question on the utility of ChatGPT group chats, Ben and Andrew share their daily use cases for AI and Ben shares his prompt, while an emailer wonders about a boss using Copilot to send holiday gifts. From there: A subject matter expert debates whether to train his AI replacement, a listener seeks advice about working for his father-in-law, a question about balancing work and young children, Unidentified Anomalous Phenomena, robot vacuums, Ben's ancestry, and a word about the Giannis era.

Todd broke down how we're actually getting real ROI out of AI instead of chasing buzzwords, starting with the simple idea that domain expertise and clear value beats any hype cycle. He walked through the three places AI moves the needle G&A, capital, and risk and safety showing how agents can take over the daily grind like SCADA alert triage, revenue statements, AFEs, regulatory filings, and even capturing tribal knowledge before it walks out the door. He explained how Collide sits above systems like Quorum, WellView, SCADA, and accounting so teams can query everything in one place and see how a single well status change ripples across leases, contracts, and compliance. Regulatory use cases are exploding W-10s, injectors, flaring permits, methane reporting and mapping is becoming a key layer using tools like Mapbox. On the non-op side, the team is already extracting revenue statements and AFEs, pushing data into Aries and accounting, and setting up real ROI analysis for OBO partners. The takeaway start small, prove the value, then expand into a stack of agents that quietly take on the busywork so teams can focus on decisions that matter.Click here to watch a video of this episode.Join the conversation shaping the future of energy.Collide is the community where oil & gas professionals connect, share insights, and solve real-world problems together. No noise. No fluff. Just the discussions that move our industry forward.Apply today at collide.ioClick here to view the episode transcript. https://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

In der neuen Folge von AI in Finance passiert das, was in den letzten Monaten zum Normalzustand geworden ist: Das Tempo der KI-Industrie zieht weiter an, während Regulierung, Infrastruktur und Use Cases versuchen, mitzuhalten. Sascha und Maik haben so viele News im Gepäck, dass man locker eine Dreistundenfolge daraus hätte machen können. Es wird ein Rundflug über Europa, Silicon Valley, Big Tech, neue Modelle, neue Tools und die Frage, wie nah wir eigentlich an echter, alltäglicher KI sind.

Are you still using Google for everything? It's time to meet your real digital assistant. In this episode, we explore how to use ChatGPT in everyday life — from creating dinner with fridge leftovers to translating menus on holiday, planning your next trip, or understanding health data. We'll reveal clever ways to get personalised recommendations, decode legal documents, and even fix household problems… all with a free account. Ever wondered how to teach ChatGPT your beer preferences? You'll love this. This isn't about business – it's personal, practical, and packed with real-life examples.  Tune in to discover how AI can save you time, money, and stress in ways you've never imagined. The latest episode of the Value Pricing Podcast is now available: New to ChatGPT? Start Here (Features, Tips & Everyday Use Cases) In today's episode you will learn: How to get amazing results using ChatGPT's free accountFun and clever ways to use AI in daily lifeHow to plan travel, translate menus, and fix things fastTips for tracking health, fitness, and understanding medical dataHow to get smarter recommendations for food, books, beer & moreThe secret to writing powerful prompts and saving hours of time Don't miss out on the practical AI tips that can transform your daily life — all with a free ChatGPT account! Listen now! 

In real estate, most operational mistakes are not the result of bad intentions. They are the result of assumptions. You believe the tenant will know where to park, how to receive packages, how to operate the thermostat, or how to submit a maintenance request. You assume your team will know how to prepare the unit, confirm utilities, or walk a resident through the lease.But assumptions are the enemy of predictable execution.Professional developers use a tool from the software world called use cases, sometimes known as user stories, to design a process that works for the client in the real world, not the world we imagine on paper.A use case is a simple story that describes how a specific person completes a specific task under specific conditions. It forces you to see the experience through the customer's eyes, not the company's.In residential real estate, this is invaluable. ------------**Real Estate Espresso Podcast:** Spotify: [The Real Estate Espresso Podcast](https://open.spotify.com/show/3GvtwRmTq4r3es8cbw8jW0?si=c75ea506a6694ef1)   iTunes: [The Real Estate Espresso Podcast](https://podcasts.apple.com/ca/podcast/the-real-estate-espresso-podcast/id1340482613)   Website: [www.victorjm.com](http://www.victorjm.com)   LinkedIn: [Victor Menasce](http://www.linkedin.com/in/vmenasce)   YouTube: [The Real Estate Espresso Podcast](http://www.youtube.com/@victorjmenasce6734)   Facebook: [www.facebook.com/realestateespresso](http://www.facebook.com/realestateespresso)   Email: [podcast@victorjm.com](mailto:podcast@victorjm.com)  **Y Street Capital:** Website: [www.ystreetcapital.com](http://www.ystreetcapital.com)   Facebook: [www.facebook.com/YStreetCapital](https://www.facebook.com/YStreetCapital)   Instagram: [@ystreetcapital](http://www.instagram.com/ystreetcapital)  

Google just released Gemini 3, and I tested it with 3 real business use cases: prepping for a $200K sales call, building an interactive sales dashboard, and creating a complete website from scratch—all in minutes.In this video, I show you LIVE examples of:✅ Gemini Agent prepping an entire sales call (research, pitch angles, objection handling, follow-ups)✅ Dynamic dashboards with real-time calculations and interactive sliders✅ Full website generation with 921 lines of working code in under 60 seconds✅ Custom image generation and prompt engineeringThis isn't theory—I'm screen recording everything as it happens so you can see the actual speed and quality.⏱️ TIMESTAMPS:0:00 - Intro: Why Gemini 3 is a Big Deal1:15 - Benchmark Breakdown (Why This Matters)2:27 - Use Case #1: $200K Sales Call Prep4:46 - Visual Layout & Interactive Infographic Demo7:03 - Use Case #2: Building a Website from Scratch (Live Code)9:27 - Use Case #3: Interactive Q4 Sales Dashboard11:51 - Testing the Prompt Generator Live12:45 - Final Thoughts & Why This Changes Everything

You ever see a new AI model drop and be like.... it's so good OMG how do I use it?

Send a Text to the Moms - please include your contact info if you want a response. thanks!Today on Schizophrenia: 3 Moms in the Trenches, we're joined by Dr. Steve Olson—psychiatrist, longtime advocate for clozapine, and a clinician experienced in using Electroconvulsive Therapy when it can truly help. ECT is often misunderstood, especially in the context of schizophrenia, so today we're digging into what it is, when it works, and what families should know. Dr. Olson helps us separate myth from reality and explore whether ECT has a place in treatment for our loved ones.Questions for Dr. OlsonUnderstanding ECTFor families who only know ECT from movies, how do you explain what it actually is today?What symptoms or situations in schizophrenia make you consider ECT as an option?Effectiveness & Use Cases 3. How effective can ECT be for schizophrenia, and what outcomes have you seen in practice? 4. Are there particular subtypes or symptom profiles where ECT is most helpful—or least helpful? 5. How quickly do patients typically respond, compared to medication changes?Clozapine Context 6. You've been a strong advocate for clozapine. In what scenarios would you consider ECT in addition to clozapine? 7. For someone who hasn't responded fully even to clozapine, how do you decide whether ECT could help?Safety, Stigma, and Practicalities 8. What are the most common fears or misconceptions families have about ECT, and how do you address them?Want to know more?Join our facebook page Our websites:Randye KayeMindy Greiling Miriam (Mimi) Feldman

In this episode, Ben sits down with Prabhakar Reddy, Founder and CEO of OpenFX.OpenFX is the fastest growing blockchain start up you've never heard of and Prabhakar is one of the industry's most revered and proven founders. OpenFX has built a global FX system using stablecoins and blockchain rails to process tens of billions of volume per month while serving many large fintech providers. Prabhakar is no stranger to growth, however. As co-founder of FalconX, he scaled crypto's first prime broker to unicorn status before starting OpenFX. This is a special and episode and I'm thrilled to share it with the Scenius Studio audience. Let's get into it. Connect with the guestOpenFX ⁠https://www.openfx.com/Follow OpenFX on Twitter/X https://x.com/openfx_/Disclaimer Ben Jacobs is a partner at Scenius Capital Management. All views expressed by Ben and the guests of this podcast are solely their opinions and do not reflect the opinions of Scenius Capital Management. Guests and the host may maintain positions in the assets or funds discussed in this podcast. You should not treat any opinion expressed by anyone on this podcast as a specific inducement to make a particular investment or follow a particular strategy but only as an expression of their personal opinion. This podcast is for informational purposes only.

Rob finally cracked his years long standoff with the podcast lair cat, and the fix was hilariously simple. That small victory ends up setting the tone for the whole episode, because everything that follows has the same energy: real problems that only make sense once you shrink the solution down. As Rob talks through the cat truce, Justin brings in a different kind of chaos. A customer service bot that sounded fully in command yet never actually did the thing it said it did. Pair that with a hiring queue full of AI written applications, and the whole picture starts to come into focus. Once you see the pattern, you can't unsee it. The wins only show up when the AI job gets small. The fantasy football tool works the moment AI stops trying to scrape the entire internet and instead only writes the human part. The hiring filter works when AI is there to catch repetitive patterns, not run the whole show. Even the experiments coming out of Danielson Labs click only because the AI calls are tiny and the real work sits in regular code. Everything points in the same direction. Let AI handle the one thing only AI can do, then let normal tech take it from there.

How can large organizations embrace the speed and adaptability of a startup while navigating the complexities of established processes and legacy systems, especially in the rapidly changing world of AI-driven consumer experiences? Agility requires adopting new technologies while fundamentally shifting how teams operate, experiment, and learn from data. It demands a cultural evolution that embraces change and empowers individuals to respond quickly to market demands. Today, we're going to talk about the transformative potential of AI-powered shopping and the significant implications it has for brands, retailers, and the entire supply chain. To help me discuss this topic, I'd like to welcome Eugene Amigud, Chief Innovation Officer at Infios. About Eugene Amigud As Chief Innovation Officer, Eugene is leading Infios's transformation of intelligent supply chain execution, creating a differentiated set of solutions for warehousing, transportation and order management that help businesses turn supply chain volatility into a competitive advantage. His career is marked by purposeful innovation, customer-centric design and a focus on measurable business impact, delivering adaptable solutions that meet businesses where they are - regardless of size or complexity – and equipping them with the innovative edge to thrive in an everchanging world.  Before joining Infios, Eugene founded Yantriks, pioneering a microservices-based order management platform adopted by some of the world's largest retailers. He also drove advancements in order management and supply chain execution at Blue Yonder and IBM. With over 25 years of experience, Eugene consistently delivers adaptable solutions that enable enterprises to rapidly deploy new capabilities and realize business value faster.  Eugene holds a master's degree in software engineering from Harvard Extension School and a bachelor's degree in computer science from Worcester Polytechnic Institute. Based in the U.S., he works with organizations and partners worldwide.  Eugene Amigud on LinkedIn: https://www.linkedin.com/in/eugene-amigud-a054992/ Resources Infios: https://www.infios.com/en?_gl=1*tszg0*_up*MQ..*_gs*MQ..&gclid=CjwKCAjw_fnFBhB0EiwAH_MfZld1UyefOsqEBs3kGimP6qfyNQvUpQ-ejrgPcQCqt45G0VOwg6PwABoCKNQQAvD_BwE&gbraid=0AAAAAog9AS9c2QH86yGM6ujUe-E13sbIZ The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

In this week's episode of Your Drone Questions Answered, brought to you by Drone Launch Academy, host Chris Breedlove sits down with Kayla McCoy of Wilkes County Soil & Water Conservation District in North Carolina to explore unexpected and innovative ways thermal drones are transforming conservation work.From monitoring rotational grazing systems and improving soil health policies to detecting hotspots in poultry composters and even locating hidden streams through dense foliage, Kayla shares real-world examples of how drones are revolutionizing agriculture and environmental management.You'll learn: 

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In this episode of Gimme Some Truth, hosts Clint Walkner, Stan Farmer, and Ian Beardsley are joined by Meb Faber, Chief Investment Officer of Cambria Investment Management, for an in-depth discussion on utilizing Section 351 to seed newly launching exchange-traded funds—a mechanism that can provide a tax-efficient approach to diversifying concentrated stock and ETF positions.The conversation explores the mechanics, potential benefits, and use cases for these funds, and how they may fit into broader portfolio management and diversification strategies. Meb also shares his perspective on global investing themes, market observations, and future developments in the investment landscape.

In this episode of Gimme Some Truth, hosts Clint Walkner, Stan Farmer, and Ian Beardsley are joined by Meb Faber, Chief Investment Officer of Cambria Investment Management, for an in-depth discussion on utilizing Section 351 to seed newly launching exchange-traded funds—a mechanism that can provide a tax-efficient approach to diversifying concentrated stock and ETF positions.The conversation explores the mechanics, potential benefits, and use cases for these funds, and how they may fit into broader portfolio management and diversification strategies. Meb also shares his perspective on global investing themes, market observations, and future developments in the investment landscape.

Is the most profitable use of AI in 2025 generating videos of kittens trading stocks? Not quite. The digital advertising industry still reigns supreme as the best use of AI, and AppLovin stands out as a key player. This episode dives deep into AppLovin's recent financial performance, the SEC probe, and their exciting new ventures into e-commerce with a self-serve ads platform. We'll also cover their Q3 2025 earnings, growth rates, free cash flow, and future prospects. Plus, a sneak peek into our new Chip Stock Investor web app.Join us on Discord with Semiconductor Insider, sign up on our website: www.chipstockinvestor.com/membershipSupercharge your analysis with AI! Get 15% of your membership with our special link here: https://fiscal.ai/csi/Sign Up For Our Newsletter: https://mailchi.mp/b1228c12f284/sign-up-landing-page-short-formIf you found this video useful, please make sure to like and subscribe!*********************************************************Affiliate links that are sprinkled in throughout this video. If something catches your eye and you decide to buy it, we might earn a little coffee money. Thanks for helping us (Kasey) fuel our caffeine addiction!Content in this video is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal.#applovin #appstock #semiconductors #chips #investing #stocks #finance #financeeducation #silicon #artificialintelligence #ai #financeeducation #chipstocks #finance #stocks #investing #investor #financeeducation #stockmarket #chipstockinvestor #fablesschipdesign #chipmanufacturing #semiconductormanufacturing #semiconductorstocks Nick and Kasey own shares of AppLovin

In the third and final episode of our Agent Readiness series, NLW and Nufar Gaspar dive into how to identify, prioritize, and measure AI use cases inside your company. They break down a practical framework for evaluating opportunities, balancing growth and efficiency initiatives, and managing your AI portfolio like an investment strategy. Plus, they explain why company knowledge agents often deliver outsized ROI and why 2026 will be the “show me the money” year for AI transformation.Series Episode 1: How to Build an AI-Ready Culture: A Practical GuideSeries Episode 2: Why Data is the Biggest Barrier to AI Readiness (And What to Do About It)Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - ⁠⁠⁠⁠https://rovo.com/⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? sponsors@aidailybrief.ai

In this bonus episode of Commercially Speaking, Bo and Timmy welcome Luke Morris, co-founder of Crexi and Capitalize. They discuss Luke's journey in commercial real estate, the evolution of Crexi, and the launch of Capitalize, a platform designed to streamline commercial real estate financing using AI. The conversation delves into the challenges faced by brokers and lenders, the importance of data in the industry, and the future prospects for Capitalize. Luke emphasizes the need for transparency and trust in commercial real estate, highlighting how technology can empower brokers to better serve their clients.Chapters00:00 Introduction to the Podcast and Guest02:40 Luke Morris: Early Life and Career Path05:19 The Birth of Crexie: Innovations in Commercial Real Estate08:00 The Evolution of Crexie: Growth and Milestones10:48 Identifying Pain Points in Commercial Real Estate13:32 Capitalize: The Next Step in PropTech16:25 Understanding Capitalize's Functionality and Market Impact19:07 Use Cases for Brokers: Enhancing Efficiency and Effectiveness21:56 The Role of Brokers in Commercial Real Estate24:34 Exploring the Technology Behind Capitalize27:27 Real-Time Insights and Market Dynamics30:28 Conclusion and Future Outlook33:22 Understanding Mezzanine Debt and Preferred Equity36:51 Navigating Fund Management and Deal Sponsorship39:28 Challenges in Data Aggregation and AI Integration44:08 Personal Insights and Hobbies of Luke Morris48:52 Engagement and Future Steps for Capitalize.io

“The core use case is always going to be financial transactions,” predicts Jeff Feng.Jeff Feng, Co-Founder of Sei Labs, says SEI is built to become the default home for financial apps — from trading to gaming to social.Full interview from Token 2049 Singapore.

In this episode we go over some of the reasons one might choose HQC over ML-KEM as a PQC key exchange algorithm for specific circumstances. And we discuss the future diversity of cryptography.

In this episode, I break down how Model Context Protocols (MCPs) are turning AI from a buzzword into a profit center. Think of them as “mini AI employees” that can run CRO experiments, power sales intelligence, revive lost leads, track competitor ad spend, scale SEO content, and turn messy reports into clear business insights. You'll see how these automations can make your company run and grow on autopilot. TIMESTAMPS (00:00) Introduction to Model Context Protocols (MCPs) and revenue (00:55) CRO Orchestrator: Conversion rate optimization (02:17) Sales intelligence and follow-ups (05:01) Competitive ad tracking and SEO scaling (07:30) Content leverage and future of MCPs How to Connect https://www.instagram.com/ericosiu https://x.com/ericosiu Resources

Get Kyle's Top 1% ChatGPT Marketing Stack (free): https://clickhubspot.com/khv Ep. 374 Is ChatGPT the most impactful tool in the marketer's tech stack? Kieran and Kyle Poyar, creator and writer of Growth Unhinged, dive into the revolutionary ways marketers and go-to-market teams are using generative AI to transform their workflow—faster, smarter, and with more impact than ever before. Learn more on how marketers are leveraging ChatGPT for persona research with deep context, creating differentiated product positioning, and optimizing growth experiments to make better business decisions. Mentions Kyle Poyar https://www.linkedin.com/in/kyle-poyar Growth Unhinged https://www.growthunhinged.com/ ChatGPT https://chatgpt.com/ Clay https://www.clay.com/ Lovable https://lovable.dev/ Jellyfish https://jellyfish.co/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Content generation is the most overhyped AI use case in marketing. Dave Steer, CMO at Webflow, argues that marketers are focusing too narrowly on AI as a content creation tool rather than exploring its broader strategic potential. He advocates for building agentic AI workflows that orchestrate customer experiences and automate complex marketing processes. Steer emphasizes creating sophisticated automation systems where marketers become editors of AI output rather than manual content creators.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Will this be AI's 'App Store Moment'?

In this webinar-turned-podcast, Scott Becker sits down with Venkat Mocherla, founder of Midstream Health, and Bobby Becker, AI engineer and entrepreneur, for a dynamic conversation on artificial intelligence, leadership, and execution speed.