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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
B2B ChatGPT Prompts Vorlagen gratis? ➔ Hier laden: https://xhauer.com/downloads-podcast Gratis AI LEAD MAGNET GENERATOR ➔ Lead Magnet erstellen in 20 Min, der verkauft: https://xhauer.com/ai-generator-pod WORKSHOP "Volle Leads-Pipeline durch virtuelle KI-Marketing-Mitarbeiter in ChatGPT & LinkedIn" ➔ Hier ansehen: https://xhauer.com/workshop-pod ERWÄHNTE FOLGEN:➔ Marketing & Sales ICP Guide: https://youtu.be/HjZWtWbZAR4In dieser Folge zeige ich die drei KI-Prompts, die im B2B-Marketing wirklich abliefern. Wie schärft ihr euer ICP, sodass Kampagnen greifen? Wie baut ihr einen Lead-Magneten, für den Zielkunden gerne ihre Daten hergeben? Und wie wird aus bestehendem Content eine E-Mail-Serie? Prompts und Vorlagen gibt's kostenlos dazu.Wenn du neu auf meinem Kanal bist:Mein Name ist Michael Asshauer. Ich bin Gründer und Geschäftsführer von XHAUER. Mein Team und ich helfen jeden Tag Anbietern im komplexen und technischen B2B, ihre Pipeline mit guten Verkaufsgelegenheiten zu füllen. Durch eine systematische Kombination aus Performance- und Content-Marketing. Ganz ohne Bunte-Bildchen-Marketing, sondern datengetrieben nach dem Grundsatz “Do more of what works”.Ein paar Fakten für dich, wie ich hierher gekommen bin und welche Reise ich auf diesem Kanal dokumentiere:25 Jahre: Gründung meines ersten Technologie-Unternehmens Familonet25 Jahre: Abschluss meiner Studiengänge Volkswirtschaftslehre, Betriebswirtschaftslehre und International Business (Hamburg & Melbourne)28 Jahre: Ausgründung unserer B2B-Software-Entwicklungsagentur onbyrd 30 Jahre: Übernahme unserer Unternehmen durch den Daimler-Konzern (heute Mercedes-Benz Group AG)31 Jahre: Gründung meiner Business-Content-Plattform “Machen!”32 Jahre: Gründung meines Performance-Recruiting-Unternehmens Talentmagnet (und anschließender Verkauf)34 Jahre: Gründung unserer B2B-Marketing-Agentur & Beratung XHAUER, gemeinsam mit Paula.Heute: Paula, unser Team und ich sind auf dem Weg, eine der besten B2B-Agenturen & Beratungen weltweit aufzubauen.Auf diesem Kanal teile ich alle Erkenntnisse, Learnings und Best Practices aus Tausenden Kampagnen offen mit dir, sodass du sie für euer Marketing anwenden kannst.Für B2B-Marketing, das die Pipeline füllt.Dein Michael Hosted on Acast. See acast.com/privacy for more information.
Wenn das Wort "KI" aufkommt, denken die meisten nur an ChatGPT und wie man einfach ein par Fragen an die künstliche Intelligenz stellt. In diesem Interview mit Leonard Schmedding gehen wir weiter, viel weiter. Wir wollen uns darüber unterhalten, wie wir heute schon mit realen Usecases die Arbeit im Vertrieb mit KI vereinfachen. Wie du dein Business so aufbauen kannst, dass dir digitale Assistenten einen Großteil deiner Arbeit abnehmen. Wir sprechen über Sprachassistenten über Marketingideen und alles was man heute schon einsetzen kann und natürlich wie sich unser Business mit KI weiterentwickeln wird. Und natürlich die spannendste Frage: Ist KI einfach nur ein Hype? Möchtest du deine Skills am Telefon mit KI trainieren? Dann teste mal unseren TelesalesCoach: https://telesalescoach.de/ Damit kannst du Telefongespräche trainieren und bekommst wertvolles Feedback. Schau mal rein. Möchtest du mir schreiben? Dann gerne per Mail an: buero@tobiasain.de Möchtest du besser werden in deinem Business? Dann schau mal hier rein: www.how-to-business.de Leonard Schmedding und seine KI-Beratung findest du hier: https://www.kiberatung.de/
In the first of a two-part podcast series, Brett Redfearn joins for a discussion on the emerging high-profile topic of tokenization of equity trading, a direction of travel that represents the most significant market structure change in the past 20-30 years. Brett is arguably the world's pre-eminent thought leader on tokenization, marrying his expertise from his time as global head of market structure for JP Morgan and at the SEC as Head of Trading and Markets with his more recent consulting work with crypto technology providers on the evolving space of tokenization. In this episode, we work through the basics of crypto technology including important terminology and use cases for investors and issuers beyond the surface examples of custody, 24-7 trading and ability to trade notional rather than fixed share amounts. In the latter part of this episode, we dig into the definition of a security, who regulates the various products in the US and how it might be possible for secondary market rules to differ between de-fi activity in equity tokens and traditional financial markets. Part 2 will follow in the next few days. This podcast was recorded on November 26, 2025 Chapter Headings: 04:46 Crypto Products vs Crypto Technology07:08 Stablecoins and Tokenization15:56 Use Cases for Investors and Issuers27:36 Determining What is a Security -The Howey Test32:53 Who Regulates Tokenization in the US?36:22 How Can Secondary Trading in Defi and Trad-fi Have Different Rules?43:05 The Nasdaq-DTCC Announcement For relevant disclosures, visit: tdsecurities.com/ca/en/legal#PodcastDisclosure. To learn more about TD Securities, visit us at tdsecurities.com or follow us on LinkedIn @tdsecurities. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Stell dir vor, deine geschäftlichen Daten fließen endlich nahtlos zwischen ERP, DMS, E-Mail, CRM und Fileserver – ohne Insellösungen, Kopieren oder Informationsverlust. Das gelingt mit einer cleveren Integration von Dokumentenmanagementsystem (DMS) und Enterprise Resource Planning (ERP). Wie das in der Praxis funktioniert, zeigt dir Sascha Bippus, DMS-Experte bei KUMAVISION, im Webinar am 28.11. um 13:30 Uhr. Freue dich auf wertvolle Einblicke aus der Praxis, konkrete Use-Cases und Antworten auf die wichtigsten Herausforderungen rund um Strategie, Architektur und produktive Workflows in heterogenen Systemlandschaften. Warum du dieses Webinar besuchen solltest - Du willst endlich Schluss machen mit Datensilos und Doppeleingaben in deinem Unternehmen. - Du möchtest wissen, wie DMS als Brücke zwischen bestehenden Systemen wie ERP, CRM und Fileserver fungieren kann. - Dich interessieren praxisnahe Beispiele und typische Workflows rund um das digitale Dokumentenmanagement. - Du bekommst Tipps zur strategischen Planung einer Integrationsarchitektur – genau zugeschnitten auf Unternehmen, deren Systeme nicht “aus einem Guss” sind. - Du lernst, wie du deine IT-Landschaft modernisieren kannst, ohne alle Systeme austauschen zu müssen. Deine Vorteile auf einen Blick: - Tiefergehendes Expertenwissen aus erster Hand - Praxisnahe Tipps - Klarheit über Potenziale und Stolperfallen - Interaktive Live-Q&A-Session FRIDAY Insights ist eine gemeinsame Initiative von OMT und contentmanager.de – mit dem Ziel, komplexe Themen verständlich, praxisnah und mit echtem Mehrwert aufzubereiten. Melde Dich jetzt kostenlos an und erfahre, wie Social Listening Dein Unternehmen effizienter, flexibler und zukunftssicher machen.
Im OMT-Podcast #287 spricht Mario Jung (OMT GmbH) mit Dr. Bettina Kriegl (Vogel Corporate Solutions), über die spannende Schnittstelle von Marktforschung und Content Marketing.
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
www.iotusecase.com#IndustrialIoT #Stahlwerk #MaschinenbauIn dieser Sonderfolge des IoT Use Case Podcasts begrüßt Gastgeberin Ing. Madeleine Mickeleit erstmals ihren neuen Podcast Co-Host Dr. Peter Schopf. Gemeinsam sprechen die beiden mit Jens Petri, Manager Business Development Digitalization bei GMN Paul Müller Industrie GmbH und Co. KG und erfahrener IoT-Praktiker aus der Stahlwerksumgebung.Im Fokus der Episode stehen die Umsetzung von IoT-Projekten, typische Stolpersteine und die Frage, warum viele Initiativen ohne ein klares Warum scheitern. Die Runde teilt Erfahrungen aus über hundert Industrieprojekten und zeigt, wie Unternehmen Use Cases sinnvoll priorisieren, funktionierende Partnerschaften aufbauen und kollektives Erfahrungswissen für ihre eigenen Projekte nutzen können.Podcast ZusammenfassungIoT erfolgreich umsetzen: Warum Purpose, Partnerschaften und kleine Use Cases zählenIn dieser Folge sprechen Ing. Madeleine Mickeleit, Dr. Peter Schopf und Jens Petri über zentrale Erfolgsfaktoren in IoT-Projekten. Im Mittelpunkt steht die Frage, warum viele Initiativen ins Stocken geraten und wie Unternehmen den Fokus vom Technologiestart hin zu einem klaren Nutzen entwickeln. Ein definiertes Warum wird zur Grundlage für Entscheidungen rund um Sensorik, Datenmodelle und Plattformen.Anhand konkreter Beispiele aus Stahlwerken und Maschinenbau zeigt Jens, wie kleine, präzise Use Cases schnell messbare Effekte erzielen, etwa durch frühzeitige Verschleißerkennung oder die Überwachung kritischer Komponenten. Solche Ansätze schaffen Vertrauen, erleichtern die Skalierung und verhindern teure Fehlentwicklungen.Ein weiterer Schwerpunkt ist die Bedeutung von Partnerschaften. IoT-Projekte leben von interoperablen Lösungen. Sensorik, Connectivity, Gateways und Software müssen zusammenwirken. Beispiele wie die fränkische Allianz von GMN zeigen, wie technologische Kooperation echte Innovation ermöglicht und alte Wettbewerbsgrenzen aufweicht.Außerdem erfahren die Hörer, warum Dr. Peter Schopf künftig den Podcast hosten wird und welche Perspektiven und Erfahrungen er dabei einbringt.Diese Episode liefert kompakte Orientierung für alle, die IoT-Projekte pragmatisch, skalierbar und mit Blick auf realen Nutzen umsetzen wollen.-----Relevant links from this episode:Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)Peter (https://www.linkedin.com/in/peter-schopf/)Jens (https://www.linkedin.com/in/jens-petri-56074385/)Jetzt IoT Use Case auf LinkedIn folgen1x monatlich IoT Use Case Update erhalten
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.
Le WhatsApp Marketing est en train de devenir un levier incontournable pour les marques e-commerce. Dans cet extrait, Paul-Louis de PayPlug, Thomas de Email Club et Guillaume Escolier de WAX partagent leur expertise sur l'intégration de WhatsApp dans une stratégie CRM globale. Guillaume nous présente également le cas d'usage de 900 care, un excellent exemple de mise en place réussie du WhatsApp Marketing. Spoiler : ils sont unanimes sur son efficacité. Avec un taux d'ouverture moyen de 94%, un taux d'engagement de 60% et 80% des messages lus en 7 minutes, WhatsApp surpasse de loin les performances du mail et même des SMS. Ces statistiques impressionnantes font de WhatsApp un canal de communication privilégié pour engager vos clients et prospects de manière instantanée et personnalisée. Mais pour tirer pleinement parti du WhatsApp Marketing, il est essentiel de l'intégrer de manière réfléchie dans votre stratégie CRM. Ce canal ne se limite pas à l'envoi de messages promotionnels. Il peut être utilisé pour : - Automatiser des rappels d'achat ou des confirmations de commande. - Envoyer des campagnes ciblées basées sur le comportement d'achat. - Personnaliser les interactions avec vos clients grâce à des messages riches et interactifs (images, boutons, vidéos). Paul-Louis, Thomas et Guillaume partagent également des conseils pratiques pour éviter les erreurs courantes et maximiser l'impact de vos campagnes WhatsApp. Ils expliquent comment ce canal peut renforcer la relation client, augmenter les ventes, et améliorer la fidélisation. Avec le WhatsApp marketing, les marques peuvent offrir une expérience conversationnelle fluide et engageante, qui répond aux attentes d'une audience de plus en plus connectée. En s'intégrant parfaitement aux outils CRM existants, WhatsApp devient un atout majeur pour les e-commerçants cherchant à innover dans leur relation client. Ne passez pas à côté de cette opportunité d'intégrer le WhatsApp Marketing dans votre stratégie CRM. Découvrez comment ce canal peut transformer votre approche client et apporter des résultats concrets à votre marque e-commerce.. _______________________________________ Au programme : Le boom du WhatsApp Marketing - Paul-Louis de Payplug Les bonnes pratiques - Thomas de Email Club Le cas d'usage de 900 care - Guillaume Escolier de WAX_______________________________________ L'invité du jourSuivez Paul-Louis sur LinkedInSuivez Thomas sur LinkedInSuivez Guillaume sur LinkedIn_______________________________________ LoyolySuivez Loyoly sur LinkedIn & Instagram.Abonnez-nous à notre newsletter Customer Loop. _______________________________________ Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.
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.
www.iotusecase.com#Störungsmanagement #Gebäudetechnik #EnergieIn dieser Episode des IoT Use Case Podcasts spricht Gastgeberin Ing. Madeleine Mickeleit mit Alexander Barnstorf-Brandes, Application and System Manager bei PASM, sowie Michael Knöpfle, Geschäftsführer der PSsystec GmbH. Im Mittelpunkt steht ein IoT-Projekt mit über 3000 Telekom-Standorten, bei dem die Signalisierungs- und Monitoring-Infrastruktur modernisiert wird. Die beiden zeigen, wie PASM Störungsmanagement und Energieverbrauch transparent macht, welche Rolle Mobilfunk und die SMARTbox von PSsystec spielen und wie sich Gebäudetechnik effizient und skalierbar in die Cloud bringen lässt.Folge 195 auf einen Blick (und Klick):(08:58) Herausforderungen, Potenziale und Status quo – So sieht der Use Case in der Praxis aus(13:51) Lösungen, Angebote und Services – Ein Blick auf die eingesetzten Technologien(28:01) Übertragbarkeit, Skalierung und nächste Schritte – So könnt ihr diesen Use Case nutzenPodcast ZusammenfassungWie lassen sich Störungen, Energieverbräuche und Anlagenzustände über tausende verteilte Gebäude hinweg zuverlässig überwachen?PASM und PSsystec geben in dieser Episode einen tiefen Einblick in die Modernisierung der Telekom-eigenen Gebäudetechnik. Die Herausforderung lag in einer heterogenen Infrastruktur mit veralteter, teilweise ISDN-basierter Signalisierung und hohen Kosten für klassische Gebäudeleittechnik. Gleichzeitig fehlte die Transparenz über Geräte und Verfügbarkeiten an über 3000 Standorten.Die Lösung besteht aus einer mobilfunkbasierten IoT-Architektur, aufgebaut mit der SMARTbox von PSsystec und der Cloud of Things der Telekom. Die Gateways lassen sich noninvasiv installieren, per Mobilfunk anbinden und vollständig remote konfigurieren. Funktionen wie Hysterese-basierte Messwerte, flexible Übertragungszyklen, Over-the-Air-Updates und Fernparametrierung ermöglichen ein skalierbares Gerätemanagement über große Flotten hinweg. PASM überwacht damit Klima- und Heizungstechnik, Druckluftkompressoren und mobile Stromaggregate und erhält eine einheitliche, cloudbasierte Sicht auf Zustände und Alarme.Der wirtschaftliche Mehrwert ist klar: PASM spart Hardwarekosten um den Faktor zehn und erhöht die Betriebssicherheit durch mehr Transparenz. PSsystec berichtet aus anderen Projekten von bis zu fünfzig Prozent weniger Serviceeinsätzen dank smarter Datenlogik. Gleichzeitig wird deutlich, wie flexibel IoT arbeitet, vom kleinen Einzelgebäude bis zur großen dezentralen Flotte.-----Relevant links from this episode:Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)Michael (https://www.linkedin.com/in/michael-kn%C3%B6pfle-1509ba247/)Alexander (https://www.linkedin.com/in/alexander-barnstorf-brandes-019b16196/)Episode 186 Deutsche Telekom IoT (https://iotusecase.com/de/podcast/iot-weltweit-skalieren-mit-telekom/)Community beitreten (https://iotusecase.com/de/community/)Jetzt IoT Use Case auf LinkedIn folgen1x monatlich IoT Use Case Update erhalten
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
Flink Forward Barcelona 2025 was a big week for streaming and the streamhouse.I sat down with Jark Wu, Staff Software Engineer at Alibaba Cloud, and Giannis Polyzos, Staff Streaming Architect at Ververica, to talk about Apache Fluss and what is coming next.First, a quick primer. Fluss is built for real-time data at scale. It sits cleanly in the broader ecosystem, connects to the tools teams already use, and focuses on predictable performance and simple operations.What stood out in our chat:• Enterprise features that matterSecurity, durability, and consistent throughput. Cleaner ops, stronger governance, and a smoother path from POC to production.• Zero-state analyticsThey walked me through how Fluss cuts network hops and lowers latency. Less shuffling. Faster results. More efficient pipelines.• Fluss 0.8 highlightsBetter developer experience, more stable primitives, and upgrades that help teams standardize on one streaming backbone.• AI-ready directionVendors are shifting to AI. Fluss is adapting with functions that support agents, retrieval, and low-latency model workflows without bolting on complexity.• Streamhouse alignmentThe new capabilities strengthen Fluss in a streamhouse architecture. One place to handle fast ingest, storage, and analytics so teams do not stitch together five systems.We also covered the roadmap. Expect continued work on latency, cost control, and easier day-two operations, plus patterns that large teams can repeat with confidence.Want to get involvedJoin the community, review the open issues, try the latest builds, and share feedback from real workloads. That is how this moves forward.The full conversation with Jark and Giannis is live now on The Ravit Show.#data #ai #FlinkForward #Flink #Streaming #Ververica #TheRavitShow
MEININGER Hotels: Digitalisierung im HR ist ein großer Wachstumshebel – mehr Effizienz, mehr Zeit, weniger manueller Aufwand. Laura Moreno, VP People von MEININGER Hotels verrät uns in dieser Folge, wie sie und ihr Team Workday implementiert hat, was ihre Learnings daraus sind und wie HR mit Digitalisierung einen echten Business Mehrwert schaffen kann. 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.
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 der 10. gemeinsamen Podcast-Folge von Johannes Lutz und Torsten Wolschendorf sprechen die beiden über den Wandel der 3D-Druck-Branche: weg vom Technikhype hin zu tragfähigen Geschäftsmodellen und klaren Fokusmärkten. Sie gehen darauf ein, dass das Maker-Segment boomt, und die Industrie sich neu sortiert: Weniger Showcases, mehr echte Use Cases und Wettbewerb in allen Technologien. Natürlich sprechen sie auch über die Formnext und, dass die Formnext der Branchentreiber bleibt – aber auch, dass Kommunikation und Positionierung jetzt über Überleben oder Eliminierung von Unternehmen entscheiden. Viel Spaß beim Reinhören - es lohnt sich!
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:
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]
You probably missed these NotebookLM updates.
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.
Investing for Americans Abroad & U.S. Expats | Gimme Some Truth for Expats
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
The AI Breakdown: Daily Artificial Intelligence News and Discussions
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.
“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.
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.
Revenue Generator Podcast: Sales + Marketing + Product + Customer Success = Revenue Growth
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.
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 […]