Podcasts about use cases

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

KI ist längst kein Buzzword mehr – sie sitzt bereits mit am Tisch. In dieser Episode sprechen wir mit Oliver Dlugosch, Mitgründer von ADA AI, darüber, wie Künstliche Intelligenz in der Logistik vom theoretischen Heilsbringer zum echten Teammitglied wird. Es geht nicht um Spielerei oder Marketingversprechen, sondern um reale Prozesse, echte Herausforderungen und den Weg zu messbarem Mehrwert. Oliver gibt tiefe Einblicke in die Praxis und zeigt, warum der entscheidende Faktor nicht die Technologie ist – sondern der Kontext. Das erwartet dich in dieser Folge: -> Wie KI in der Logistik administrative und kommunikative Prozesse entlastet – von Lieferantenabstimmungen bis zur automatisierten Dokumentenprüfung -> Warum „Kollege KI“ nur dann funktioniert, wenn sie den Kontext versteht und nicht nur Anweisungen ausführt -> Der Unterschied zwischen klassischer RPA und KI-gestützten Systemen mit Verständnis und Lernfähigkeit -> Konkrete Praxisbeispiele: Slotbuchungen, E-Mail-Triage, Rechnungsprüfung und Prozessautomatisierung mit echtem Impact -> Warum der Change-Prozess genauso wichtig ist wie die Technik – und weshalb Teams von Anfang an mitgenommen werden müssen Diese Folge ist ein realistischer Blick auf KI in der Logistik – ohne Hype, aber mit klarer Vision. Wenn du wissen willst, wie KI nicht nur Prozesse beschleunigt, sondern Strukturen verändert, dann ist diese Episode Pflichtprogramm. Hör rein, denke neu – und gib deinem zukünftigen Kollegen eine echte Chance.

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.

www.iotusecase.com#OEE #EnergyManagement #Shopfloor In Episode 194 des IoT Use Case Podcasts spricht Gastgeberin Ing. Madeleine Mickeleit mit Stefan Köhler, Manager Business Development bei PVA, sowie Thorsten Hardt, Teamleiter Technischer Service. Ergänzt wird die Runde durch Martin Falsner von Kontron AIS als IoT Umsetzungspartner. Im Fokus steht, wie industrielle Anlagenhersteller datenbasierte Services entwickeln, Maschinen sicher anbinden und Maschinendaten strukturiert bereitstellen. Dazu geben die drei Einblicke in interne Digitalisierungsprozesse, externe Kundenanforderungen, Edge Hardware, OPC UA und ein zentrales Kundenportal als digitale Servicebasis.Folge 194 auf einen Blick (und Klick):[17:45] Herausforderungen, Potenziale und Status quo – So sieht der Use Case in der Praxis aus[26:23] Lösungen, Angebote und Services – Ein Blick auf die eingesetzten Technologien[33:44] Übertragbarkeit, Skalierung und nächste Schritte – So könnt ihr diesen Use Case nutzenPodcast ZusammenfassungDie Episode zeigt, wie die PVA Gruppe ihre Maschinen aus dem Bereich Hochvakuum und Wärmebehandlung datenfähig macht und daraus digitale Services entwickelt. Ausgangspunkt war die interne Herausforderung, Wissen zentral verfügbar zu machen, Transparenz zu schaffen und Serviceprozesse zu standardisieren. Parallel bestand die externe Kundenanforderung, Maschinendaten sicher in bestehende IT und MES Systeme integrieren zu können, ohne sensible Prozessdaten preiszugeben.Gemeinsam mit Kontron AIS wurden ein Edge Device mit OPC UA for Machinery Modell und ein digitales Kundenportal umgesetzt. Die Hardware ermöglicht eine sichere und normgerechte Bereitstellung von Maschinendaten. Das Portal dient als zentrale Plattform für Stammdaten, Dokumentation, Wartungspläne, Tickets und Kundenkommunikation. Perspektivisch entsteht daraus ein digitaler Zwilling inklusive Lebenszyklusdaten.Die modulare Lösung adressiert sowohl interne Effizienz als auch skalierbare Kundenservices und ermöglicht künftige Use Cases wie vorbeugende Wartung, automatisierte Ersatzteildiagnosen oder KI gestützte Empfehlungen. Besonders relevant ist die Episode für Maschinenbauer, Industrie Betreiber, Serviceleiter und Unternehmen, die eine eigene IoT Produktstrategie entwickeln möchten. Sie zeigt, warum Datenzugriff, Standardisierung, Plattformlogik, Vertrauen und iterative Umsetzung entscheidend sind.-----Relevant links from this episode:Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)Martin (https://www.linkedin.com/in/martin-falsner-equipmentcloud/)Stefan (https://www.linkedin.com/in/stefan-k%C3%B6hler-6b1ab6261/Thorsten (https://www.linkedin.com/in/thorsten-hardt-7637671b7/Equipment Cloud (https://equipmentcloud.de/)ManagedEdge IoT Bundle (https://www.susietec.com/sites/default/files/downloads/20250506_Kontron_OnePager_ManagedEdge-IoT-Bundle_EN-FIN_0.pdf)EU-Maschinenverordnung (https://eur-lex.europa.eu/eli/reg/2023/1230/oj)Jetzt IoT Use Case auf LinkedIn folgen1x monatlich IoT Use Case Update erhalten

In dieser Episode von AWS Cloud Horizonte spricht Heinrich Nikonow mit Matthias Egelhaaf, CIO von Siemens Global Business Services (GBS), über die praktische Umsetzung von GenAI in einem der größten Shared-Service-Center Europas. Statt endloser Proof of Concepts liefert sein Team produktive Systeme – mit beeindruckenden 60-65% Erfolgsrate bei 45 GenAI-Use-Cases. Das erwartet euch in dieser Episode: Macher-Mentalität statt POC-Falle: Wie Siemens GBS es schafft, GenAI-Projekte tatsächlich produktiv zu machen und dabei Produktivitätssteigerung zu erreichen Die Dark Side of GenAI: Warum die Lücke zwischen Erwartung und Realität so groß ist – und wie man damit umgeht Kulturwandel in der Praxis: Vom personalgetriebenen Shared Service zur Tech-Company mit neuem Mentalmodell AI-Symposium & Validation Framework: Konkrete Methoden zur Ideengenerierung und strukturierten Evaluierung von Use Cases Co-Development als Erfolgsfaktor: Warum niemand im GenAI-Dschungel alleine überlebt und wie die Zusammenarbeit mit AWS und anderen Hyperscalern funktioniert Operations Matter: Warum der Betrieb von GenAI-Lösungen genauso wichtig ist wie die Entwicklung Best Practices: Von Microservices über Communities bis zum Cross-Functional-Team-Setup Konkrete Beispiele: Der "Bionic Agent" und andere Use Cases mit echten Zahlen zum Impact Matthias teilt ehrlich die Herausforderungen: Legacy-Systeme, Datenqualität, Vertrauensaufbau im Business und die Notwendigkeit, erst die Hausaufgaben zu machen, bevor GenAI sein volles Potenzial entfalten kann. Matthias' Lieblingsspruch: "Keiner überlebt im GenAI-Dschungel alleine." Eine Episode voller praktischer Learnings für alle, die GenAI wirklich produktiv einsetzen wollen – ohne Buzzword-Bingo (Ziel: unter 10 Buzzwords pro Minute!), dafür mit Realtalk über das, was funktioniert und was nicht. Perfekt für: CTOs, CIOs, Digitalisierungsverantwortliche, SaaS-Unternehmen und alle, die von der POC-Phase in die Produktivität kommen wollen. Wie ist das für euch?

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.

EWE AG - In dieser Folge spreche ich mit Vera Weidemann, Vorständin für Personal & Recht bei EWE, über Transformation als Haltung, Zukunftseuphorie als Führungsprinzip und konkrete Projekte, mit denen EWE Menschen in der Veränderung stärkt. EWE hat sich ein großes Ziel gesetzt: Klimaneutralität bis 2035. Doch wie führt man 11.000 Mitarbeitende durch diesen Wandel – und sorgt dafür, dass sie Lust auf das Morgen behalten? ---Werbepartner dieser Episode::pxtra ist die einfache und rechtssichere Lösung für individuelle Mitarbeiter-Benefits. Dank innovativer Plattform und mobiler App können Arbeitgebende die persönlichen Wünsche ihrer Mitarbeitenden erkennen, verstehen und mit den passenden Benefits darauf eingehen. Maximale Mitarbeiter-Zufriedenheit mit minimalem HR-Aufwand. 

In dieser Episode setzen Janine, Fabian und Andreas einen klaren Marker: 2026 wird für Datenstrategie und KI-Einsatz ein Wendepunkt – und Microsoft Fabric steht dabei im Zentrum. Fabian zeigt, welche drei strategischen Entscheidungen Unternehmen jetzt treffen müssen, um 2026 nicht den Anschluss zu verlieren: klug budgetieren, echte Use Cases definieren und eine Roadmap bauen, die Geschwindigkeit und Wertschöpfung kombiniert. Wir sprechen über realistische Projektkosten, typische Stolperfallen, warum Self-Service ohne Guidance scheitert und wie KI heute schon Dokumentation, Workshops und Datenprozesse massiv beschleunigt. Janine bringt die Perspektive aus der Data-Culture-Praxis ein und erklärt, warum Mittelständler genau jetzt den Sprung wagen sollten. Ein klarer, praxisnaher Deep-Dive für alle Unternehmen, die 2026 nicht mit dem „Power-BI-von-gestern-Setup“ dastehen wollen.

In dieser Episode nehmen wir euch mit auf den KI Day 2025 nach Frankfurt – ein Event, das ein überraschend ehrliches Bild vom aktuellen Stand der KI in der Logistik zeichnet. Tobias berichtet von seinen Eindrücken vor Ort, spannenden Use Cases aus dem Mittelstand und davon, wie zögerlich, aber zugleich neugierig die Branche auf KI schaut. Zwischen Visionen, Praxisbeispielen und vielen Gesprächen entsteht ein klares Bild: Die Transformation hat begonnen, aber sie steht noch ganz am Anfang. Und genau hier lohnt es sich hinzuschauen. Was euch in der Folge erwartet: -> Wie Forto, Rossmann & Co. KI konkret einsetzen – und wo noch Grenzen liegen. -> Warum Tourenplanung und Datenverknüpfung die zentralen Hebel für Effizienz bleiben. -> Welche Lösungen Startups wie Scavanger AI mitbringen – und warum das für Logistiker herausfordernd, aber richtungsweisend ist. -> Ein realistischer Blick auf die Stimmung im Markt: vorsichtig, interessiert, aber noch weit entfernt vom großen Durchbruch. Wenn ihr wissen wollt, wie sich KI in der Logistik wirklich anfühlt – jenseits von Hype und Buzzwords – ist diese Folge genau der richtige Einstieg. Hört rein, reflektiert euren eigenen Stand und überlegt, welche Use Cases für euch relevant werden könnten.

Input geben - Networking starten!Wir zeigen, wie sich der Sprung von SEO zu AI-Visibility anfühlt, warum Drittquellen die Antworten prägen und wie bei AXA Inhalte für Menschen und Maschinen strukturieren. Dazu teilen AXAs unsere Lernkurve bei Messung, Teamaufstellung und schweizspezifischer Korrektheit.• Fokuswechsel von klassischen Rankings zu LLM-Quellen• Rolle von Corporate Communications, Social und Multimedia• Drittquellen wie Presse, Reddit, Bewertungen als Hebel• Strukturierte Daten und modulare Wissensbausteine• EEAT, Autorität und unverwechselbare Originalstudien• Schweizspezifika und Risiken durch DACH-Vermischung• Priorisierung transaktionaler Use Cases vs Beratungsthemen• Grenzen von Visibilitätsindizes, Prompt-basierte Analyse• Tool-Landschaft, internes Messen und KPI-Design• Ausblick auf Transaktionen direkt in LLM-Interfaces Support the showVielen Dank an unsere Starken Podcast-Partner: Solunex: Der Schwerpunkt von Solunex liegt in der Unterstützung unserer Kunden im effizienten und automatisierten Verarbeiten und erzeugen von Kundenkommunikation. Dabei decken wir sowohl die Eingangsseite ab (Input Management), wobei Automatisierung und Unterstützung der Kundenteams durch den gezielten Einsatz von AI im Vordergrund stehen. Auf der Ausgangsseite (Output Management), steht ebenfalls die Automatisierung im Fokus, sowie die Nutzung sämtlicher Kontaktkanäle zwischen Kunden und Endkunden (Omnichannel Management). Vor über 35 Jahren gegründet, verfügt das Team von Solunex über langjährige Erfahrungen aus erfolgreichen Kundenprojekten, basierend auf hervorragender technischer Umsetzungskompetenz. Solunex unterstützt die Kunden über den gesamten Lebenszyklus einer Lösung aktiv und zuverlässig. https://www.solunex.ch/ AlpineAI: AlpineAI ist ein innovatives Schweizer KI-Unternehmen, das sich auf sichere und datenschutzkonforme KI-Lösungen für Unternehmen spezialisiert hat. Ihr Hauptprodukt, SwissGPT, ist eine Schweizer Version von ChatGPT, die höchste Standards beim Daten- und Geheimnisschutz gewährleistet, indem alle Informationen in Schweizer Rechenzentren verarbeitet werden. AlpineAI versteht sich als Innovationskatalysator für die KI-Transformation und arbeitet daran, Unternehmen durch massg...

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 Folge 207 stellen wir euch das beste Getränk für die kuschelige Jahreszeit vor, besprechen die besten Use-Cases für VR Brillen und brauchen eure Unterstützung für die richtige Wahl der Kopfbedeckung.  

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: 

Listen to Season 6 Ep. 15 of Esker On Air to discover 5 ways AI works within accounts receivable (AR) to turn data into intelligence, take over time-draining activities and protect cashflow. Hear Esker's I2C Strategic Solution Manager Whitney Thomas explain exactly how AI produces real results like 95% reduction in unapplied cash and 71% reduction in past-due payments. Resources:Esker: info@esker.comContact Us [Click Here]

Community-Liebling #79 - In dieser Episode spreche ich mit Eva Glanzer, Chief People Officer bei Taxfix, über Faktoren, die People Leader benötigen, um strategische Relevanz zu wahren. Eva teilt mit uns ihr umfassendes Know-how und erklärt, wie durchdachte HR-Strategien und eine starke People and Culture den Weg zu nachhaltigem Erfolg ebnen.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. 

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www.iotusecase.com#Energiemonitoring #Druckluftüberwachung #EnergieeffizienzIn Episode 193 des IoT Use Case Podcasts spricht Gastgeberin Ing. Madeleine Mickeleit mit Alwin Jung, IoT Consultant bei achtBytes, dem Corporate Start-up der STEGO-Gruppe. Im Mittelpunkt steht die Frage, wie produzierende Unternehmen ihre Energie- und Druckluftverbräuche transparent machen können – von der Datenerfassung über IO-Link-Sensorik bis hin zur KI-gestützten Visualisierung. Gemeinsam beleuchten sie praxisnah, wie Energieflüsse gemessen, Kosten auftragsbezogen analysiert und Retrofit-Konzepte in bestehenden Anlagen umgesetzt werden können.Folge 193 auf einen Blick (und Klick):(11:22) Herausforderungen, Potenziale und Status quo – So sieht der Use Case in der Praxis aus(14:38) Lösungen, Angebote und Services – Ein Blick auf die eingesetzten Technologien(23:59) Übertragbarkeit, Skalierung und nächste Schritte – So könnt ihr diesen Use Case nutzenPodcast ZusammenfassungEnergie- und Druckluftmonitoring in der Praxis: Wie achtBytes IoT, KI und IO-Link verbindetIn dieser Folge zeigt achtBytes, wie sich Energieeffizienz in der Produktion konkret umsetzen lässt – mit IoT-Sensorik, intelligenter Datenverarbeitung und einer KI-Assistenz namens MIA. Der Ausgangspunkt vieler Kunden: fehlende Transparenz über den tatsächlichen Energieverbrauch einzelner Maschinen und Produktionsabschnitte. Häufig liegt nur ein Hauptzähler vor, während detaillierte Messwerte fehlen.Die Lösung: ein modulares System auf Basis von IO-Link-Sensorik, das Strom-, Druckluft- und CO₂-Daten erfasst, analysiert und über die Cloud visualisiert. Bestehende Anlagen können schrittweise nachgerüstet werden, wodurch Unternehmen ohne große Eingriffe datengetriebene Entscheidungen treffen können – etwa bei Investitionen in neue Maschinen oder beim Vergleich von Produktionslinien.Ein besonderes Highlight ist die KI-Assistenz MIA, die Dashboards automatisiert erstellt und Energiekennzahlen auf Anfrage visualisiert. So wird Datenanalyse zum intuitiven Werkzeug – ohne komplexe Konfiguration.Diese Episode liefert praxisnahe Einblicke für Produktionsleiter, Energiemanager und Digitalisierungsverantwortliche, die Energieverbrauch senken, Retrofit-Projekte umsetzen oder KI-gestützte Transparenz in ihre Produktionsumgebungen bringen möchten.-----Relevant links from this episode:Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)Alwin (https://www.linkedin.com/in/alwin-jung-a043a8153/)achtBytes Homepage (https://achtbytes.com/) achtBytes E-Mail (info@achtbytes.com)Jetzt IoT Use Case auf LinkedIn folgen1x monatlich IoT Use Case Update erhalten

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

Clint Oram, co-founder and former CMO/CTO of SugarCRM, joins Clark Newby on the Tomorrow's Best Practices Today podcast to explore how AI is reshaping B2B sales and marketing. From his roots at SugarCRM to advising AI startups and hosting his own show PROMPT This, Clint shares hard-won insight into what's real—and what's hype—in AI's impact on business.In this conversation you'll learn:- How generative AI is rewriting the rules of productivity for sales and marketing professionals—what is changing, what still matters.- Why “jobs lost to AI” is the easier narrative, but not necessarily the accurate one—and what smarter companies are doing now to stay ahead.- What social selling really looks like today, how LinkedIn has evolved (and been blocked by spam), and how sellers can build meaningful audiences rather than send endless cold InMails.- The tools and tactics that Clint regularly uses—his favorite generative-AI platforms, how he advises companies, and how younger professionals (including recent grads) can future-proof their careers by embracing and mastering AI.- A candid look at the post-pandemic tech bubble, the hiring surge in 2022-23, and why the softening market is providing an opportunity—if you know where to look.Whether you're a sales leader, marketer, agency owner, or recent grad trying to find your footing, this episode offers concrete take-aways and strategic questions to ask. If you believe that AI is going to change everything—yes, and so are you—this discussion will ground that belief with practical insight and next-step ideas.-----CONNECT with us at:Website: https://leadtail.com/Leadtail TV: https://www.leadtailtv.com/LinkedIn: https://www.linkedin.com/company/lead...Twitter: https://twitter.com/leadtailFacebook: https://www.facebook.com/Leadtail/Instagram: https://www.instagram.com/leadtail/----00:00 Intro — From CRM to AI01:40 Why Generative AI Is Changing Everything04:00 Fear, Optimism, and the Future of Work06:00 The Job Market Myth10:00 The Tech Bubble and False AI Narratives11:00 Social Selling and the Spam Era14:00 LLMs and the New Sales Funnel17:00 Future-Proofing Your Career with AI22:00 The Best AI Tools for Marketers and Sellers27:00 Reinventing the Podcast Creator29:00 Launching “Prompt This”31:00 How to Get Started with AI32:00 Final Thoughts — Is AI as Big as the Internet or Electricity?#b2bmarketing #b2b

In this episode, Ben sits down with David Choi, Co-Founder of USD.AI. USD.AI is an emblematic project for crypto's promise in the real world. The protocol leverages the strengths of DeFi to solve a bottle neck and pain point in the rabid AI infrastructure build out. By facilitating GPU backed loans, USD.AI unlocks capital efficiency for these companies scaling AI while providing real yield to on-chain lenders. David and the USD.AI team have caught lightning in a bottle and we're thrilled to share their story with the Scenius Studio audience.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.

Nach einer kurzen Herbstpause sprechen Alois und Oliver darüber, wie echte Deep-Tech-Ökosysteme auf Stadtebene entstehen – jenseits von Buzzwords. Sie ordnen ein, was Deep Tech wirklich bedeutet, wo die Grenze zu Commodity-Technologien verläuft und weshalb der Begriff aktuell oft inflationär verwendet wird. Ausgehend von Deutschlands neuer Hightech-Agenda (mit Schwerpunkten wie KI, Quantencomputing und Biotechnologie) diskutieren sie, wie nationale Programme lokale Cluster beeinflussen und warum Orte mit starker Forschungs- und Infrastrukturbasis – etwa DESY und die Science City in Hamburg – als Anker dienen.Die Episode zeigt, wie Konvergenz zwischen Technologien wie KI, Quanten- und Neuromorphik-Computing, Robotik oder XR Tempo aufnimmt und welche Rolle „universelle Schnittstellen“ wie große Sprachmodelle dabei spielen. Zugleich machen die beiden deutlich, dass Grundlagenforschung geschützte Domänen braucht, während Reallabore und Sandboxes die Brücke in die Anwendung schlagen. An konkreten Beispielen wird sichtbar, weshalb kurze Wege, stabile Rahmenbedingungen, verlässliche Testflächen und klar profilierte Stadt-Stärken den Unterschied zwischen Theorie und Transfer ausmachen.Ein zentrales Motiv der Folge ist der „Übersetzer“: Personen und Formate, die Forschung, Industrie und – oft als Ankerkunden – den Staat zielgerichtet zusammenbringen. Statt Event-Inflation braucht es kuratierte Räume, in denen Themen kurz vor der Marktreife fokussiert beschleunigt werden. Genau hier setzt der Deep Tech Campus Circle an: als bewusst exklusiver Ort, an dem Köpfe, Kapital und konkrete Use Cases aufeinandertreffen, um aus Keimlingen skalierbare Innovationen zu machen.Am Ende bleibt die klare These: Deep Tech entsteht, wenn tiefe Expertise, Geduld und ein klug orchestriertes Ökosystem zusammenwirken. Wer verstehen will, wie Städte vom Strategiepapier zur sichtbaren Wertschöpfung kommen, bekommt in dieser Folge eine kompakte, praxisnahe Landkarte – von der Saat in der Grundlagenforschung bis zur Ernte im Markt.

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

Recorded live on the Smart Stage at CEDIA Expo/CIX 2025, this episode features Ari Supran, CEO of Sonance, delivering one of the show's most talked-about presentations: “Practical Uses of AI in the Custom Integration Industry.”In this engaging and highly practical session, Supran walks the audience through how AI is already transforming day-to-day operations inside his company—and how custom integrators can do the same. Instead of focusing on futuristic speculation, he demonstrates how AI tools can save hours of manual work today.

340: In dieser Episode nehme ich dich mit hinter die Kulissen meiner allerersten KI-Automation – von der Idee bis zur Umsetzung. Offen und ehrlich erzähle ich, warum der Weg voller Stolpersteine war, wie ChatGPT und Claude wirklich performen und was ich beim Bau einer echten Automatisierung alles lernen musste. Du erfährst, warum nicht jede KI gleich schlau ist, welche Use Cases sich wirklich lohnen und weshalb du beim Thema Automatisierung nicht auf schnelle Wunder hoffen solltest. Meine Erfahrungen, Tipps und Learnings teile ich ganz praxisnah, damit du selbst entspannt und strategisch an deine eigenen KI-Projekte herangehst. Lass dich inspirieren, aber auch realistisch einstimmen, was KI-Automation im Online-Business wirklich bedeutet.

“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

SummaryAlex Hoffman, Head of Ecosystem at DogeOS, joins the ATX DAO Podcast to share how the team is transforming Dogecoin from a memecoin into a real platform for Web3 applications. By adding EVM compatibility to Dogecoin, DogeOS is making space for smart contracts, DeFi, gaming, and more, all while staying rooted in the lighthearted culture that defines the Doge community.Alex highlights key projects like USDoge, a stablecoin using dynamic risk modeling and tokenized private credit, a novel launchpad for creators and brands, and a Twitch-style PVP betting app. He also talks about why DogeOS is positioned to bring in an overlooked group of crypto users and how the team is supporting builders without relying on grant chasing.Connect with our guest:X (Twitter)Website: https://www.dogeos.com/Check out our friends at Tequila 512:Website: ⁠⁠⁠⁠⁠⁠⁠https://www.tequila512.com⁠⁠Socials: ⁠⁠X (Twitter)⁠⁠ | ⁠⁠Instagram⁠⁠ | ⁠⁠TikTok⁠⁠ | ⁠⁠Facebook⁠To learn more about ATX DAO:Check out the ⁠ATX DAO ⁠websiteFollow ⁠@ATXDAO⁠ on X (Twitter)Subscribe to our newsletterConnect with us on ⁠LinkedIn⁠Join the community in the ⁠ATX DAO Discord⁠Connect with the ATX DAO Podcast team on X (Twitter):Ash:  ⁠@ashinthewild⁠Luke: ⁠⁠⁠⁠⁠@Luke152⁠⁠⁠⁠⁠Tom: @Tommyg_25Support the Podcast:If you enjoyed this episode, please leave us a review and share it with your network.Subscribe for more insights, interviews, and deep dives into the world of Web 3.

Sende uns Deine NachrichtIn dieser Folge des GENIUS ALLIANCE PODCASTS spricht Norman Müller mit Patric Weiler, Gründer von PWBC – Patric Weiler Business Consulting, über die Brücke zwischen Technologie und messbarem Geschäftserfolg. Weiler erklärt, warum 95 Prozent aller Unternehmen beim Einsatz von KI scheitern, welche Rolle Kultur dabei spielt und wie echte Transformation gelingt. Statt Tools zu sammeln, müssen Unternehmen lernen, strategisch zu denken – vom Geschäftsmodell aus, nicht vom Gadget.Anhand konkreter Use Cases zeigt Weiler, wie KI zu messbarem Mehrwert führt, wenn sie in Strategie, Daten und Kultur verankert wird. Eine inspirierende Episode für alle, die KI nicht als Hype, sondern als Haltung verstehen.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.

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.

My guest today is Paul Bloch, co-founder and CEO of DDN. Once bootstrapped for decades, DDN is now a multi-billion dollar company partnering with Nvidia, Google, and Blackstone, helping customers train the largest models in the world and deploy AI at scale. We discuss how Paul and his team spotted the AI inflection point early, why infrastructure partnerships define the winners and losers in this space, and how DDN balances discipline with massive growth opportunities. Please enjoy this conversation with Paul Bloch.  For the full show notes, transcript, and links to the best content to learn more, check out the episode page HERE. ----- Making Markets is a property of Colossus, LLC. For more episodes of Making Markets, visit joincolossus.com/episodes. Stay up to date on all our podcasts by signing up to Colossus Weekly, our quick dive every Sunday highlighting the top business and investing concepts from our podcasts and the best of what we read that week. Sign up here. Follow us on Twitter: @makingmkts | @ericgoldenx Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes (00:00:00) Welcome to Making Markets (00:01:02) DDN's Role in AI Infrastructure (00:02:08) Competition and Collaboration in the AI Market (00:04:31) Customer Engagement and Use Cases (00:08:06) Economic Models and Government Involvement (00:11:49) Sovereign Cloud and Global AI Perspectives (00:16:19) AI's Rapid Evolution and Future Outlook (00:21:46) Partnerships and Strategic Decisions (00:35:01) Beliefs on AI Learn more about your ad choices. Visit megaphone.fm/adchoices

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.

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.

In this episode of the Crypto 101 podcast, hosts Bryce and Brendan interview Arthur Breitman, co-founder of Tezos. They discuss the founding story of Tezos, its unique governance model, and the various use cases of blockchain technology. Arthur shares insights on the recent upgrades to Tezos, its position in the market compared to Ethereum and Solana, and the impact of economic factors on market cycles. The conversation concludes with Arthur's thoughts on the future of Tezos and the cryptocurrency landscape.Efani Sim Swap Protection: Get $99 Off: http://efani.com/crypto101Check out Gemini Exchange: https://gemini.com/cardThe Gemini Credit Card is issued by WebBank. In order to qualify for the $200 crypto intro bonus, you must spend $3,000 in your first 90 days. Terms Apply. Some exclusions apply to instant rewards in which rewards are deposited when the transaction posts. This content is not investment advice and trading crypto involves risk. For more details on rates, fees, and other cost information, see Rates & Fees. The Gemini Credit Card may not be used to make gambling-related purchases.Get immediate access to my entire crypto portfolio for just $1.00 today! https://www.crypto101insider.com/cryptnation-directm6pypcy1?utm_source=Internal&utm_medium=YouTube&utm_content=Podcast&utm_term=DescriptionGet your FREE copy of "Crypto Revolution" and start making big profits from buying, selling, and trading cryptocurrency today: http://www.cryptorevolution.com/free?utm_source=Internal&utm_medium=YouTube&utm_content=Podcast&utm_term=DescriptionChapters00:00 Introduction to Tezos and Its Founding Story05:31 Understanding Crypto Governance10:41 The Use Cases of Blockchain Technology16:09 The Role of Blockchain in Energy and Power22:28 Positioning Tezos in the Blockchain Ecosystem24:01 Tezos: A Technological Leader in Blockchain26:14 Understanding the Recent Upgrades in Tezos28:52 The Challenges of Upgrading Layer 1 Blockchains32:47 Tezos X Roadmap: Future Developments and Innovations35:21 Market Cycles: Interest Rates vs. Halving40:12 The Role of ETFs in the Crypto MarketMERCH STOREhttps://cryptorevolutionmerch.com/Subscribe to YouTube for Exclusive Content:https://www.youtube.com/@crypto101podcast?sub_confirmation=1Follow us on social media for leading-edge crypto updates and trade alerts:https://twitter.com/Crypto101Podhttps://instagram.com/crypto_101Guest Linkhttps://x.com/ArthurB*This is NOT financial, tax, or legal advice*Boardwalk Flock LLC. All Rights Reserved  ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Fog by DIZARO https://soundcloud.com/dizarofrCreative Commons — Attribution-NoDerivs 3.0 Unported — CC BY-ND 3.0 Free Download / Stream: http://bit.ly/Fog-DIZAROMusic promoted by Audio Library https://youtu.be/lAfbjt_rmE8▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Our Sponsors:* Check out Gemini Exchange: https://gemini.com/card* Check out Plus500: https://plus500.com* Check out Plus500: https://plus500.comAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

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.

Discover how WebAI is revolutionizing AI by enabling powerful models to run directly on devices.About the episode:Nataraj chats with David Stout, founder of WebAI, about bringing AI infrastructure to edge devices. David shares his journey from a Michigan farm to pioneering techniques for compressing AI models onto phones, laptops, and even airplanes. They discuss the importance of data privacy, real-time processing, and the shift from cloud-based AI to a web of interconnected, specialized AI systems working across devices. Learn about WebAI's vision for the future of AI and how they achieved a $700 million valuation.What you'll learn- Understand the limitations of cloud-based AI and the advantages of edge computing for data privacy and real-time processing.- Discover how WebAI compresses and optimizes large AI models to run efficiently on everyday devices like phones and laptops.- Learn about the potential of a decentralized “web of models” and how it could revolutionize various industries.- Explore the key factors driving WebAI's success, including their focus on horizontal technology and support for diverse AI models.- Gain insights into the future of AI hardware and software.About the Guest and Host:Guest Name: David Stout, Founder of WebAI, pioneering AI infrastructure for edge devices.Connect with Guest:→ LinkedIn: https://www.linkedin.com/in/davidpstout/ → Website: https://www.webai.com/Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor.→ LinkedIn: https://www.linkedin.com/in/natarajsindam/→ Substack: ⁠https://startupproject.substack.com/⁠In this episode, we cover(00:01) Introduction and Guest Introduction(01:35) David's Journey in AI and Machine Learning(03:51) Bringing AI Models to Devices(05:49) Applications of AI on Devices(08:10) The Thesis for Starting Web AI(11:16) Optimizing for Specialized Models(15:02) Web AI's Customers and Use Cases(17:00) Hardware Optimization for Web AI(19:12) Lightweight Personal Models(22:55) The Trajectory of Foundational Model Companies and AGI(31:48) Emergent Behavior and Intelligence(35:17) Prompts Don't Pay Bills(41:22) Meta's Approach to Recruiting and Spending(44:51) Form Factors in AI(51:04) Surprising AI Products(52:42) Breakthroughs in AI Research(56:31) XAI's Models(01:03:24) The Future of Google and Search(01:06:39) Finding David and WebAIDon't forget to subscribe and leave us a review/comment on YouTube Apple Spotify or wherever you listen to podcasts.#AI #EdgeComputing #MachineLearning #DataPrivacy #WebAI #ArtificialIntelligence #DecentralizedAI #AIInfrastructure #Startup #Technology #Innovation #Podcast #Entrepreneurship #TechStartups #DeepLearning #ModelCompression #AIModels #Inference #NatarajSindam #StartupProject

By Adam Turteltaub Andrew McBride, Founder & Chief Executive Officer at Integrity Bridge, recently wrote an article entitled Generative Artificial Intelligence Use Cases for Ethics & Compliance Programs.  Intrigued by the topic, I sat down with him for this podcast. He shared that many compliance teams are charged with using AI but may not have the  desire or know how to create and implement a use case. He shares that AI is very good at doing a specific role and a specific activity.  Consequently, compliance teams should consider not just the use of AI as a whole but specific needs that they have for it.  He gives five specific use cases: Interpreter. AI can translate documents and training in seconds.  It can also help you distill long documents into pithy, usable summaries both for you and management. Drafter.  It can draft from scratch or improve what you have already put together, even creating interactive scenarios that can be useful in training. Researcher.  You do have to be mindful of hallucinations, but if you set up the AI to only use your own data or a trusted set of ources, it is more reliable.  Do, though, always check its work. Data Analyst. As compliance teams are called to amass and analyze more data, AI can help you do it, identifying, for example, relationships between training and calls to the helpline. Monitor, Investigator, Auditor. AI can review both structured and unstructured data, helping you identify red flags. Listen in to learn more, and then, start building your own use case for generative AI.

In this webinar-turned-podcast, Scott Becker has 3 separate discussions: “Private Equity: the State of the Deal Market” with Geoff Cockrell, Holly Buckley, David Greer, & Matt Wolf, “Start Ups: Best Ideas for Founders” with Dr. Bo Gu, Krista Bragg, Bart Walker, Andy Friedman, & Manav Sevak, and “AI: Practical Growth & Use Cases” with Venkat […]

Mike & Tommy have another great mailbag from YOU on utilizing Power BI subscriptions being proactive and efficient. Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Seth: https://www.linkedin.com/in/seth-bauer/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Introducing EVE This episode kicks off with an introduction to EVE, an AI operator that turns email inboxes into lead generation. Founder Vadim Rogovskiy explains that EVE helps small businesses organize their inboxes to find leads and follow-ups. EVE saves time by drafting personalized emails and flagging upsell or churn signals. He mentions the special pricing: $250 per month for an individual plan and $500 per month for a team plan. EVE offers a seven-day trial, a refund for the first month, and a risk-free first month. Vadim also provides information on how to find more information about EVE online and on LinkedIn. EVE for Independent Consultants The conversation highlights how EVE can be useful for independent consultants who manage their own sales and work. Vadim explains that EVE requires minimal onboarding; users just need to connect their corporate email. EVE integrates with Google and Microsoft for privacy and security, and EVE builds a knowledge graph about the business by analyzing years of email data and internet-based research.  Functionality and Features Vadim describes how EVE classifies contacts and extracts customer profiles from email data and public databases. EVE analyses communication to adopt tone and style, and provides an executive summary of the business to filter and prioritize leads. EVE flags leads that fit the ideal customer profile and provides necessary context for follow-ups and analyzes and prioritizes urgency. EVE can draft emails in the user's style and automate bespoke responses based on previous email history. Automated Re-Engagement of  Cold Leads When asked about re-engaging cold leads that have not responded in months or years, Vadim explains that EVE can suggest templates for re-engaging cold leads. EVE's vision includes automating communications to handle a majority of leads without human intervention. EVE can schedule calls, draft contracts, and answer questions based on the company's knowledge base. EVE's Capabilities in Action. Vadim  shares his screen and logs into EVE using his corporate email.   EVE displays new opportunities and follow-up leads, providing context and recommended actions. EVE shows a full history of communication with leads and allows filtering by various criteria. Timestamps: 00:02:  Overview of EVE 01:28: Use Cases and Onboarding Process   04:28: Detailed Functionality and Features 06:40: Re-Engaging Cold Leads 10:25: Demonstration of EVE's Capabilities 13:49: Pricing and Availability Links: Website: joineve.ai LinkedIn: https://www.linkedin.com/in/vadim-rogovskiy/   Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com.

Andy shares his views on the few different ways in which people in the financial services/financial advisory industry can receive revenue:Commission-onlyFee-onlyHybrid or fee-basedLinks in this episode:My article in Rethinking65 - How Much Are Your Services Worth?Tenon Financial monthly e-newsletter - Retirement Planning InsightsFacebook group - Retirement Planning Education (formerly Taxes in Retirement)YouTube channel - Retirement Planning Education (formerly Retirement Planning Demystified)Retirement Planning Education website - www.RetirementPlanningEducation.comTo send Andy questions to be addressed on future Q&A episodes, email andy@andypanko.com

AI is coming for the world's most popular browser.