Podcasts about use cases

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

Die Margen im Bankgeschäft stehen unter Druck. Weltweit investieren Banken jährlich über 650 Milliarden Dollar in IT – ein Großteil davon fließt in die Modernisierung alter Systeme. Gleichzeitig boomt Banking-as-a-Service: Statt alles selbst zu entwickeln, mieten Banken zunehmend fertige Finanzdienstleistungen.Aber führt die Kombination aus White-Label-Lösungen und KI wirklich zu einer Effizienz-Revolution? Oder sind das nur übertriebene Versprechen?Darüber sprechen Fabian und Dirk in Folge #141 mit Konstantin Kavvadias, CFO von Solaris – einem BaaS-Anbieter der ersten Stunde. Wir diskutieren, welche Effizienzgewinne messbar sind, wo die Grenzen liegen und was Banken jetzt tun müssen, um wettbewerbsfähig zu bleiben.02:30 - Konstantin, stell dich und Solaris doch gern kurz vor! 04:00 - Solaris ist u.a. bekannt für seine White-Label-Lösungen. Welche Vorteile bieten solche Lösungen und warum greifen Banken und Co. darauf zurück?06:54 - Ist eine White-Label-Lösung auf für jemanden interessant, der bereits einen Haken am Thema Regulierung hat? 10:44 - Wie lange begleitet ihr als Partner, wenn ein Unternehmen eure White-Label-Lösung einbinden will? 12:08 - Wo steht ihr bei Solaris heute, wenn es um die Integration von KI geht? Wie viel Potential siehst du da? 15:40 - Kannst du beziffern, wie viel Effizienzgewinn tatsächlich in solchen KI-Use-Cases steckt?   17:50 - Welche Erfahrungen habt ihr bisher beim Einsatz von KI gemacht? Führt das wirklich zu Kosteneinsparungen, oder gibt es unerwartete Herausforderungen?20:00 - Stichwort Service Level Agreements, Fraud Detection, Avatare etc.: Welche Use Cases wollt ihr grundsätzlich anfassen und welche nicht? 27:55 - Wie seht ihr das Thema KI kulturell? Wie treibt ihr es voran und wie stark priorisiert ihr es? 29:45 - Geht ihr den ersten Schritt, wenn es darum geht, bestimmte Use Cases bei Partnern zu implementieren? Oder haben eher die Partner Wünsche? 31.55 - Was würdest du dir für die Zukunft wünschen? Welche Use Cases oder technischen Anwendungen siehst du da?  33:25 - Wie sollten Banken aus deiner Sicht mit White-Label-Lösungen und KI umgehen? 34:40 - Würdest du sagen, wer jetzt nicht selbst in diese Themen investiert, wird den Anschluss verlieren? 38:40 - Was wird der Endkunde heute und in Zukunft erleben? Welche Use Cases siehst du da? 41:48 - Welchen Gast oder welches Thema würdest du dir mal in unserem Podcast wünschen?Abonniert uns direkt hier oder folgt uns auf LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, um keine Episode zu verpassen.Produziert wird der "Talk Between the Towers" von neosfer, Frühphaseninvestor und Innovationseinheit der Commerzbank. Alles Weitere über unseren Podcast findet ihr hier: neosfer Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

www.iotusecase.com#Qualitätssicherung #Spritzguss #SmartFactoryIn Episode 192 des IoT Use Case Podcasts spricht Gastgeberin Ing. Madeleine Mickeleit mit Guido Zoll, Entwicklung und Konstruktion bei der RAFI GmbH & Co. KG, und Christoph Schneider, Vice President Produktmanagement Applikation bei der ifm solutions GmbH. Im Fokus steht die Qualitätssicherung in der Spritzgießerei. RAFI nutzt gemeinsam mit ifm und der IIoT-Plattform moneo Prozessdaten aus Sensorik und Maschinen, um Fertigungsprozesse stabiler, energieeffizienter und transparenter zu gestalten. Die Folge zeigt, wie aus Temperatur, Druck und Durchfluss belastbare Qualitätskennzahlen werden und welche Rolle Datenintegration, Visualisierung und Anomalieerkennung dabei spielen.Folge 192 auf einen Blick (und Klick):(15:59) Herausforderungen, Potenziale und Status quo – So sieht der Use Case in der Praxis aus(21:03) Lösungen, Angebote und Services – Ein Blick auf die eingesetzten Technologien(25:59) Übertragbarkeit, Skalierung und nächste Schritte – So könnt ihr diesen Use Case nutzenPodcast ZusammenfassungWie lassen sich Qualität, Energieeffizienz und Prozessstabilität in der Spritzgießerei messbar verbessern, ohne die Produktion zu stören. RAFI und ifm geben einen praxisnahen Einblick. Ausgangspunkt sind typische Herausforderungen wie schwankende Werkzeugtemperaturen, unklare Kühlwassermengen und steigender Druckluftverbrauch. Ziel ist ein stabiler Prozess mit klaren Qualitätskennwerten, kürzeren Zyklen und geringerem Energiebedarf.Die Lösung setzt auf Sensorik von ifm und die Plattform moneo. Daten aus Druck, Temperatur und Durchfluss werden über IO Link erfasst, in moneo gebündelt, visualisiert und ausgewertet. Dashboards und Alarme machen Abweichungen sichtbar, erste Insights zeigen konkrete Stellschrauben. Perspektivisch kommen Asset Health für Handlungsempfehlungen und Remote Connect hinzu.Spannend für Produktionsleiter, Prozessingenieure und Qualitätsverantwortliche, die Qualitätssicherung und Energiemonitoring im Kunststoffbereich datenbasiert voranbringen wollen. Wer wissen möchte, welche Messgrößen in der Praxis den Unterschied machen und wie man von Signalen zu Entscheidungen kommt, ist hier genau richtig.-----Relevant links from this episode:Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)Christoph (https://www.linkedin.com/in/christoph-schneider-18872627/)Guido (https://www.linkedin.com/in/guido-zoll-25a5a512b/)moneo IIoT devices (https://www.ifm.com/de/en/shared/industry-4-0-moneo/products/moneo-iiot-devices)moneo IIoT Insights (https://www.ifm.com/de/en/shared/industry-4-0-moneo/products/moneo-iiot-insights)Jetzt IoT Use Case auf LinkedIn folgen1x monatlich IoT Use Case Update erhalten

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

In the first of a two-part special, we explore how the convergence of quantum computing and artificial intelligence - Quantum AI - is redefining industries, investment, and innovation. As the world races to merge quantum computing with artificial intelligence, Singapore is stepping into the spotlight. On Industry Insight, Lynlee Foo speaks to Alexandra Beckstein, CEO & Founder, QAI Ventures to take a look at how Quantum AI is moving from theory to enterprise, and how a new accelerator backed by Enterprise Singapore is helping scientists and startups turn breakthrough ideas into scalable business.See omnystudio.com/listener for privacy information.

“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.

Matt Whetton, CTO, Acquired.comWhat lessons can the US learn from open banking in the UK and Europe? Three areas spring to mind – data privacy, user empowerment and government-industry coordination. The question is how likely is progress in these areas? In the last case, probably none at all (!) with open banking in the US being market driven. Matt Whetton, Chief Technology Officer at Acquired.com discusses open banking with Robin Amlôt of IBS Intelligence.

SAP hat Anfang Oktober auf der SAP Connect in Las Vegas ein kleines Update seines AI & Cloud-Portfolios gezeigt. Während die technischen tiefergehenden Neuigkeiten vermutlich in ein paar Tagen auf der SAP TechEd präsentiert werden, hat SAP-Produkt-Vorstand Muhammad Alam ein paar Use-Cases für den Fachbereich mitgebracht.

Wie gut ist Deutschland wirklich aufgestellt, wenn es um Data Literacy geht? Warum ist Datenkompetenz längst mehr als ein Spezialthema für Analysten – und was bedeutet sie konkret für Unternehmen, Verwaltung und Gesellschaft? Darüber spricht Host Jonas Rashedi mit Katharina Schueller, Gründerin und CEO von STAT-UP. Sie arbeitet seit über 22 Jahren im Bereich Statistik und Datenanalyse und leitet heute eine internationale IEEE-Arbeitsgruppe, die globale Standards für Data & AI Literacy entwickelt. Im Gespräch geht es zunächst um die Entwicklung der letzten zwei Jahrzehnte – vom datengetriebenen Nischenthema hin zu einem kulturellen Kern der Digitalisierung. Katharina erklärt, warum Unternehmen sich zu lange auf Effizienz und Automatisierung konzentriert haben und jetzt den Schritt hin zu echter Effektivität und Verantwortung gehen müssen. Ein Highlight ist ihr Beispiel aus der Automobilbranche, wo aus einem konkreten Use Case zur Tachomanipulation plötzlich ein ganz neues datenbasiertes Geschäftsmodell entstand. Von dort aus spannt sich der Bogen hin zu den großen Fragen: Wie misst man eigentlich Datenqualität? Welche Rolle spielt Kontext beim Interpretieren von Ergebnissen? Und wie kann man mit der „zirkulären Datenkompetenz“ sicherstellen, dass Datenverständnis nicht nur in der IT, sondern in allen Fachbereichen ankommt? Besonders eindrucksvoll: Katharina erzählt von einem Forschungsprojekt mit dem Zoll, bei dem es nicht um Technologie, sondern um Vertrauen, Praxis und Augenhöhe ging. Dort zeigt sich, dass Data Literacy nicht gelehrt, sondern gemeinsam gelebt werden muss – und dass Offenheit oft wirksamer ist als jede Schulung. Zum Schluss sprechen Jonas und Katharina über Ethik, Verantwortung und die Grenzen der Erklärbarkeit von KI. Denn Transparenz bedeutet immer auch, Macht zu teilen – und genau das macht echte Aufklärung aus. MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für richtig gute Podcasts. Zum LinkedIn-Profil von Katharina: https://www.linkedin.com/in/schuellerstats/ Zur Webseite von STAT-UP: https://www.linkedin.com/company/stat-up/ Zu allen wichtigen Links rund um Jonas und den Podcast: https://linktr.ee/jonas.rashedi

www.iotusecase.com#PredictiveMaintenance #ConditionMonitoring #LoRaWAN In Episode 191 des IoT Use Case Podcasts spricht Gastgeberin Ing. Madeleine Mickeleit mit Martin Kühne, Business Development Manager DACH bei Honeywell. Thema sind industrielle IoT Projekte aus der Praxis mit Fokus auf Condition Monitoring und Predictive Maintenance. Im Mittelpunkt stehen LoRaWAN Sensoren von Honeywell, die Pumpen, Lüfter und anderes rotierendes Equipment überwachen, Ausfälle vermeiden und Wartung planbar machen.Folge 191 auf einen Blick (und Klick):(06:26) Herausforderungen, Potenziale und Status quo – So sieht der Use Case in der Praxis aus(15:45) Lösungen, Angebote und Services – Ein Blick auf die eingesetzten Technologien(22:32) Übertragbarkeit, Skalierung und nächste Schritte – So könnt ihr diesen Use Case nutzenPodcast ZusammenfassungPredictive Maintenance mit LoRaWAN in der PraxisUngeplante Stillstände von Pumpen, Lüftern und Motoren kosten Zeit und Geld. Martin Kühne zeigt, wie Honeywell mit robusten LoRaWAN Sensoren Vibrationen, Akustik und Temperatur erfasst und Anomalien früh erkennt. So lassen sich Zustände kontinuierlich überwachen, Wartungseinsätze gezielt planen und Sicherheitsanforderungen erfüllen.Die Lösung integriert sich in bestehende Umgebungen. Daten fließen über Gateways und MQTT in Kundensysteme oder vorhandene LoRaWAN Netze. Beispiele reichen von Hallenlüftern in der Teileproduktion bei Mercedes Benz bis zu Kerosinpumpen im Umfeld des Flughafens Frankfurt, wo zustandsbasierte Wartung Tauschzyklen optimiert und Kosten senkt.Honeywell bringt Erfahrung aus der Prozessleittechnik mit, inklusive Industrietauglichkeit durch IP67, Ex-Ausführungen und NAMUR-Prüfungen. Für Skalierung sorgen Partner, die vom Sensor bis zur Anbindung an OT und IT unterstützen. Wer rotierendes Equipment betreibt und Produktionsqualität sowie Arbeitssicherheit steigern möchte, erhält einen klaren Fahrplan für den Einstieg in zustandsbasierte Wartung mit IoT. Jetzt reinhören und erfahren, wie Monitoring, Datenintegration und Serviceprozesse zusammenwirken.-----Relevant links from this episode:Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)Martin (https://www.linkedin.com/in/martin-kuehne/)Honeywell (https://www.honeywell.com/de/de)Honeywell Versatilis Transmitter (https://prod-edam.honeywell.com/content/dam/honeywell-edam/pmt/hps/products/pmc/field-instruments/honeywell-versatilis-transmitter/pmt-hps-hvt-technical-specification-de.pdf)IoT-Community (https://iotusecase.com/de/community/)) Jetzt IoT Use Case auf LinkedIn folgen1x monatlich IoT Use Case Update erhalten

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.

Jochen Schneider ist Head of AI bei SAP BTP und erklärt in dieser Episode, was KI-Agenten sind, was sie ausmacht und wie ihre Einführung aussehen kann. Wir beleuchten Use Cases beispielsweise im Personalwesen, in der Software--Entwicklung bis hin zum Kundenservice. Und wir schauen, wie verschiedene Elemente wie SAP-Joule, der Agent Builder in Joule Studio mit der AI Foundation oder der SAP Business Data Cloud zusammenhängen. Darüber hinaus geht das Gespräch kurz auf aktuelle Entwicklungen ein, darunter das Model Context Protocol (MCP), Evaluationsverfahren für Agenten (Evals), Multimodalität, Autonomie sowie Edge- und World‑Modelle. Jochen gibt außerdem praxisorientierte Empfehlungen für eine erfolgreiche Einführung und Nutzung von KI‑Agenten – sowohl aus technologischer als auch aus Business Perspektive. Ein ausführlicher und umfassender Talk, der einen Einstieg in das Thema bietet und viele Hinweise für die praktische Umsetzung gibt. Mehr im Podcast – wie immer freuen wir uns über Feedback.

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

HRS - In dieser Episode spreche ich mit Alexandra Barth, CHRO, über die Fähigkeiten, die HR-Teams heute und morgen brauchen. Alexandra teilt ihre Erfahrungen und gibt Einblicke, wie sie ihr Team auf die Herausforderungen der Zukunft vorbereitet. Wir diskutieren, warum strategisches Denken, Technologieverständnis und Change-Management essenziell sind – und wie man diese Fähigkeiten im eigenen Team fördert.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 Folge #138 sprachen wir mit Simon Seiter von AllUnity über die Grundlagen von Stablecoins. Seine Aussage: „Ich sehe Stablecoins als Riesenchance." Doch wie sieht die Realität aus? Während US-Unternehmen bereits aktiv mit Stablecoins arbeiten, zögern deutsche Mittelständler noch.Warum ist das so? Welche konkreten Vorteile bringen Stablecoins für Banken und Corporates? Und was müssen Unternehmen jetzt tun, um nicht abgehängt zu werden?Darüber sprechen Sarah⁠⁠ und ⁠⁠Dirk in Folge #140 mit Martin Postweiler, Co-Founder von nupont. Seine Plattform baut die Brücke zwischen traditioneller Finanzwelt und Blockchain-Technologie – er kennt die Praxis-Herausforderungen also aus erster Hand.02:10 - Martin, stell dich und nupont doch gern kurz vor! 04:30 - Welcher deutsche Mittelständler nutzt heute schon Stablecoins - und wofür?08:24 - Welche anderen Use Cases gibt es - bspw. im Bereich Treasury oder Liquiditätsmanagement? 10:12 - Was hindert Unternehmen daran, Stablecoin zu nutzen - beispielsweise Regulatorik oder technische Herausforderungen?12:14 - Als Banker konkret: Droht mir Disruption durch Stablecoins oder entstehen neue Geschäftschancen? In welchen Bereichen?18:30 - Sollten deutsche Banken eigene Stablecoins entwickeln oder mit externen Anbietern zusammenarbeiten?20:15 - Welche Herausforderungen (z.B. Regulatorik, Rentabilität…) siehst du in Richtung Banken, wenn es darum geht, Stablecoin mit ins Produktangebot zu integrieren?23:50 - USA vs. Europa: Warum sind amerikanische Unternehmen bei Stablecoins so viel weiter?27:00 - Dein 5-Punkte-Plan: Was müssen unsere Hörerinnen und Hörer JETZT tun, um in Sachen Stablecoin nicht abgehängt zu werden?31:25 - Was würdest du dir beim Einsatz von Stablecoin denn für die Zukunft wünschen? 32:37 - Zum Abschluss: Welchen Gast oder welches Thema würdest du dir mal in unserem Podcast wünschen?Hört auch in Folge #138 “Stablecoins "Made in Germany": Was AllUnity anders macht als Tether & Co.” mit Simon Seiter⁠, Chief Financial & Product Officer von ⁠AllUnity!Lest hier in unsere Blogbeiträge rund um Stablecoin! Alle Infos zur DiGiFin findet ihr ⁠hier⁠. Ihr wollt Tickets gewinnen? ⁠Hier entlang⁠! Mit NEOSFER_20 bekommt ihr 20% Rabatt auf euer Ticket! Abonniert uns direkt hier oder folgt uns auf ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, um keine Episode zu verpassen.Produziert wird der "Talk Between the Towers" von ⁠⁠⁠⁠⁠neosfer⁠⁠⁠⁠⁠, Frühphaseninvestor und Innovationseinheit der Commerzbank. Alles Weitere über unseren Podcast findet ihr hier: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠neosfer Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Challenger Sales – mutig führen statt nett verkaufen Im B2B-Vertrieb zählt heute nicht mehr, wer am freundlichsten lächelt, sondern wer Orientierung gibt. Genau hier setzt der Challenger Sales Ansatz an: weniger Harmonie, dafür mehr Haltung – und zwar mit spürbarem Effekt auf Marge, Entscheidungsdauer und Dealqualität. Kunden ertrinken längst nicht an einem Mangel an Informationen, sondern an fehlender Einordnung. Deshalb braucht es Verkäufer, die Hypothesen aufstellen, Klartext reden und Entscheidungen aktiv führen. Der Challenger denkt weiter, weil er respektvoll widerspricht, Komplexität reduziert und das Buying Committee konsequent durch den Prozess steuert. Die fünf Verkaufstypen im Vergleich zeigen das deutlich: Beziehungsbauer, Harter Arbeiter, Lone Wolf und Problemlöser liefern zwar wichtige Beiträge, doch nur der Challenger verändert Entscheidungen. Er sagt nicht, was der Kunde hören will, sondern was er hören muss – und genau darin liegt seine Kraft. Wie läuft ein starkes Challenger-Gespräch ab? Zuerst setzt du den Rahmen (Lead), anschließend lernst du zu verstehen, was wirklich blockiert (Learn). Dann lieferst du eine neue Perspektive mit Aha-Effekt (Teach), die du gezielt zuschneidest (Tailor). Danach übernimmst du Verantwortung für den nächsten Schritt (Take Control) und lässt bewusst Raum, damit Wirkung entsteht (Leave Space). So wird aus Smalltalk Substanz – und aus Gesprächen Fortschritt. Und die KI? Sie liefert Daten, allerdings keine Bedeutung. Der Challenger nutzt sie als Tool, nicht als Ersatz. Deshalb stellt er die entscheidende Frage: „Wenn alle 12 % Effizienz gewinnen – wo entsteht dann dein echter Vorsprung?“ Genau hier trennt sich Wertschöpfung von Feature-Geflunker. Wie entwickelst du dein Team zum Challenger-Team? Zunächst prüfst du die Haltung – welcher Typ dominiert, und was hält wen zurück? Anschließend sammelst du Insights aus Projekten, Use-Cases und Signalen. Dann formulierst du pro Branche 2–5 Thesen, die provozieren dürfen. Darauf aufbauend erstellst du einen Fragenkatalog, der zum Umdenken zwingt. Danach trainierst du konsequent: Rollenspiele, Shadowing, Feedback. Schließlich schaffst du Routine – wöchentliche Runden, in denen die wirksamsten Erkenntnisse geteilt, geschärft und verankert werden. Weil mutiges Verhalten Übung braucht, verankerst du es im Alltag: Vor jedem Termin definierst du Hypothesen, Leitfragen und eine klare Abschlussintention. Während des Termins steuerst du aktiv, widersprichst respektvoll und priorisierst Entscheidungen statt Dokumente. Danach dokumentierst du Learnings, damit das Team schneller lernt als der Markt. Fazit: In komplexen Märkten ist Führung die knappste Ressource. Der Challenger verkauft keine Produkte, sondern Klarheit – und wer Klarheit bringt, wird früh eingebunden, erhält Vertrauen und verhandelt auf Augenhöhe. Genau so hebst du Margen, verkürzt Zyklen und erhöhst die Abschlussquote. Über den VertriebsFunk Podcast: Mit über 1000 Episoden ist der VertriebsFunk Deutschlands führender Podcast für B2B-Vertrieb, Recruiting und Leadership. Ideal für Vertriebsprofis, Führungskräfte und HR – für mehr Umsatz, bessere Hires und ein starkes Mindset. Jetzt abonnieren – und keine Chance im Vertrieb mehr verpassen.

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

Wie verändert künstliche Intelligenz die Energiewelt von morgen? ⚡ Und wie schafft man es, aus einem klassischen Energieunternehmen ein datengetriebenes Tech-Powerhouse zu machen? In dieser Folge sprechen wir mit Sebastian Schwarz, Head of Data & AI - Products and Platforms bei E.ON. Sebastian erzählt, wie sich Data & AI in den letzten zehn Jahren bei E.ON entwickelt haben – von ersten Forschungsprojekten bis hin zu skalierbaren Plattformen. Wir reden über spannende Use Cases, interne AI-Produkte, Teamaufbau und die Herausforderung, Innovation und Sicherheit in Einklang zu bringen.

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

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.

Is Ethereum the layer to exchange value via the internet? In this episode of Fintech Chatter, host Dexter Cousins speaks with Jake Denny, Chief Commercial Officer of Pier Two, about Ethereum staking and its commercial potential.Tune in for a discussion on the differences between Ethereum, Bitcoin, and Solana, the future of money through smart contracts, and the real world use cases that are being delivered through stablecoin adoption.Find out more - https://piertwo.com/Chapters00:00 Introduction 01:28 Understanding Ethereum Staking and Its Commercial Potential07:00 The Use Cases of Ethereum vs. Bitcoin and Solana13:05 The Future of Money and the Role of Smart Contracts18:55 The Impact of Technology on Traditional Finance24:51 The Importance of Speed in Financial Transactions31:07 The Role of Curiosity and Hustle in Fintech Careers39:19 Pier Two's Mission and Vision in the Crypto Space56:24 Connecting DeFi and TradFi: Opportunities for CollaborationSend us a textSubscribe Newsletter: https://www.linkedin.com/newsletters/fintech-leaders-7092732051488980992/Connect on Linkedin: https://bit.ly/3DsCJBp

ElephantSqlDB saves more than 80% on database storage in the cloud and with the quantum computing architecture will never degrade in performance no matter how large your database grows. ElephantSqlDB, Inc City: Austin Address: 5900 Balcones Dr. STE 100 Website: https://www.elephantsqldb.com Phone: +1 281 247 5357 Email: info@elephantsqldb.com

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.

Bret is joined by Philip Andrews and Dan Muret of Cast AI to discuss pod live migration between nodes in a Kubernetes cluster.

In the episode, we sat down with ClickHouse Co-Founder Yury Izrailevsky to unpack how one of the fastest open-source databases in the world became the analytics engine of choice for 2,000 customers including Harvey, Canva, HP, and Supabase. From its Yandex origins to powering AI observability, Yury shares how ClickHouse balances open-source roots, cloud innovation, and a remote-first culture moving at breakneck speed.ClickHouse's Series C valued the company at $6.35B earlier this year, and just yesterday they announced an extension to that round, just months after it was raised. In this episode, we dig into:Origins & Founding StoryClickHouse began as an internal project at Yandex to power a Google Analytics–style platform, focused on performance and scale.Open-sourced in 2016 - rapid global adoption laid the foundation for ClickHouse the company. Yury first discovered ClickHouse while at Google; impressed by its speed, he later co-founded the company in 2021 alongside Aaron Katz (ex-Elastic) and the original creator Alexey Milovidov.Why ClickHouse Stands OutColumn-oriented, open source OLAP database designed for massive-scale analytical processing.Excels in performance, efficiency, and cost - ideal for large data volumes and real-time analytics (and now AI workloads). Architectural choices:Columnar storage = better compression and faster execution.Separation of compute and storage enables elasticity, scalability, and resilience in the cloud.Open Source vs. CloudOpen-source version offers freedom and flexibility.Cloud product delivers much lower total cost of ownership and fully managed experience.Architectural parity between the two ensuring no vendor lock-in for customers. Customers can run the same queries on both; most stay with cloud due to simplicity and cost efficiency.Use Cases & Ecosystem4 main use cases:Real-time analyticsData WarehousingObservability AI / ML WorkloadsCompany Building & CultureFully remote from day one.Prioritized experienced, self-sufficient engineers over early-career hires.Built and launched GA version in less than a year - insane pace of innovation.Innovation & CommunityMonthly release cadence.Hundreds of integrations and connectors.Strong open-source and commercial communityAdvice for FoundersFocus on what matters most Hire mature, independent thinkers.Move fast but maintain quality; ClickHouse Cloud achieved production-grade quality in record time.

Send us a textThis week, we're rewinding one of our most talked-about episodes! Richmond Alake, Developer Advocate at MongoDB, joins us to explore how databases power the future of AI. From RAG best practices to the truth behind AGI hype, Richmond breaks down what it takes to build systems that scale — and think.Show Notes02:05 Meet Rich Alake 03:57 A Developer Advocate at MongoDB 05:57 Passions and Fate! 08:52 AI Hype 13:14 Oh No… AGI Again 17:30 What Makes an AI Database? 20:42 Use Cases 25:41 RAG Best Practices 27:40 The Role of Databases 30:05 Why MongoDB Does It Better 32:43 What's Next 36:13 Advice on Continuous Learning 38:44 Where to Find RichConnect with Richmond:

Send us a textThis week, we're rewinding one of our most talked-about episodes! Richmond Alake, Developer Advocate at MongoDB, joins us to explore how databases power the future of AI. From RAG best practices to the truth behind AGI hype, Richmond breaks down what it takes to build systems that scale — and think.Show Notes02:05 Meet Rich Alake 03:57 A Developer Advocate at MongoDB 05:57 Passions and Fate! 08:52 AI Hype 13:14 Oh No… AGI Again 17:30 What Makes an AI Database? 20:42 Use Cases 25:41 RAG Best Practices 27:40 The Role of Databases 30:05 Why MongoDB Does It Better 32:43 What's Next 36:13 Advice on Continuous Learning 38:44 Where to Find RichConnect with Richmond:

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/

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 […]

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.

Overview: Exploring Results Software with CEO Sam Saab and CRO Bob Lewis In this episode of the SMB Community Podcast, host James Kernan interviews Sam Saab, CEO and Founder, and Bob Lewis, Chief Revenue Officer of Results Software. The discussion covers the origins of the company, the features and functionalities of their software, and their focus on servicing various industry verticals such as construction, field services, and professional services. They elaborate on the company's a la carte licensing model, their channel partner program, and provide insights into the types of clients who benefit most from their software. The episode also highlights the recent launch of the 'Results for MSPs' program and the integration with QuickBooks.  --- Chapter Markers: 00:00 Introduction and Welcome 00:26Meet the Guests: Sam Saab and Bob Lewis 01:18 Background Stories: Sam and Bob's Journey 03:01 Overview of Results Software 04:33 Capabilities of the Software 08:16 Typical Clients and Use Cases 12:10 Channel Program and Partner Opportunities 17:21 Contact Information and Final Thoughts 19:04 Conclusion and Farewell --- New Book Release: I'm proud to announce the release of my new book, The Anthology of Cybersecurity Experts! This collection brings together 15 of the nation's top minds in cybersecurity, sharing real-world solutions to combat today's most pressing threats. Whether you're an MSP, IT leader, or simply passionate about protecting your data, this book is packed with expert advice to help you stay secure and ahead of the curve. Available now on Amazon! https://a.co/d/f2NKASI --- Sponsor Memo: Since 2006, Kernan Consulting has been through over 30 transactions in mergers & acquisitions - and just this past year, we have been involved in six (6). If you are interested in either buying, selling, or valuation information, please reach out. There is alot of activity and you can be a part of it. For more information, reach out at kernanconsulting.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

For episode 607 of the BlockHash Podcast, host Brandon Zemp is joined by Michael Heinrich, CEO of 0G Labs.Michael Heinrich is a Stanford graduate who previously worked at Garten as a Founder and CEO. A Top 100 Entrepreneur of 2022, Michael has had his work published in journals ranging from Harvard Business Review to Hacking Consciousness. While at Stanford he was nominated to work with the Industrial Technology Research Institute (ITRI) to transform Taiwanese entrepreneurial education. His previous company Garten was accepted into YCombinator in 2016 and raised multiple rounds, eventually achieving unicorn status. With 0G Labs, Michael is leading the development of the first modular AI chain to support off-chain data verification. ⏳ Timestamps: (0:00) Introduction(1:30) Korea Blockchain Week(2:35) Update on 0G Labs in 2025(5:52) New AI Model breakthrough(8:50) Use-cases(13:46) 0G’s modular L1(15:50) Future of DeAI(24:00) 0G Labs roadmap

"I think the biggest trap to potentially fall into is, "Hey, it's moving so fast, so much is changing. Let's just wait it out." Completely the wrong approach. You just gotta get started." Nick Eayrs from Databricks "As tech people within the shipping industry, how do we explain, how do we make it accessible to all our users? So that's where we came up with the idea of a data supermarket, with in mind really the target of enabling self-service for our business. So by giving the analogy of a supermarket, it was much easier at the beginning to explain our business." - Simon Fassot from Hafnia Fresh out of the studio, Nick Eayrs, Vice President of Field Engineering for Asia Pacific and Japan at Databricks, and Simon Fassot, General Manager and Head of Global Data and Analytics at Hafnia, join us to explore how data intelligence is transforming enterprise AI across diverse industries in Asia. Nick explained the fundamental distinction between general intelligence and data intelligence - emphasizing how enterprises gain competitive advantage by training AI on their proprietary data rather than public knowledge. Nick showcased customer success stories including Standard Chartered Bank and TechComBank and shared his perspectives on how senior executives can take advantage of AI by moving fast rather than wait and see. Last but not least, Nick offered what great would look like for Databricks in Asia Pacific and Japan in serving their customers. Adding the lens of the customer, Simon shared Hafnia's transformation from legacy SQL Server systems to a unified Databricks architecture serving their global shipping operations and elaborated on how the company is breaking down silos with their data supermarket and "Marvis" AI copilot for maritime operations based on retrieval augmented generation. This is Part 1 from Databricks Data + AI Event Singapore.  Episode Highlights: [00:00] QOTD by Nick Eayrs and Simon Fassot [00:49] Introduction: Nick Eayrs from Databricks [03:32] Customer obsession means deeply understanding their business context [05:22] Data intelligence versus artificial general intelligence explanation begins [06:42] AI trained on your data creates competitive advantage [08:17] Only 15% of companies have correct AI infrastructure ready [11:17] Don't wait for AI perfection, just get started now [12:30] Agent Bricks simplify AI development using natural language [13:49] Standard Chartered Bank cybersecurity use case with SIEM [16:22] TechCom Bank in Vietnam customer brain with 12,000 customer attributes [18:32] Shared responsibility model for ethical AI deployment [25:24] Asia Pacific psychology focuses on future, not past [26:28] Most important question: How do you get started? [30:18] What does great look like for Databricks? [33:16] Introduction: Simon Fassot from Hafnia [35:18] How Hafnia transformed to full cloud architecture centralizes data through Databricks [36:28] Self-service access needed for 300 onshore, 4000 vessel employees [37:00] Three user types: operations, business intelligence, domain experts and Use Cases for Hafnia [41:32] Unity catalog controls data quality for AI cases [42:21] Two-phase Gen AI: ingest unstructured, then consume data [44:25] How to implement Generative AI: One bad AI answer loses all user trust [45:31] How reports in Hafnia use RAG embedded in workflows [46:47] Data supermarket analogy simplifies self-service for business [48:39] Marvis AI personalizes Gen AI within company context [49:46] Neo4j partnership adds graph capabilities to ecosystem [53:33] DNA Port platform unifies scattered dashboards and applications [54:22] Databricks enables focus on business value over operations Profiles: Nick Eayrs, Vice President of Field Engineering, Asia Pacific & Japan at Databricks LinkedIn: https://www.linkedin.com/in/nick-eayrs/ Simon Fassot, General Manager and Head of Global Data and Analytics at Hafnia LinkedIn: https://www.linkedin.com/in/simon-fassot-68b95135/ Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

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

Send us a textThis week on Making Data Simple, join Ajay Kulkarni, CEO and co-founder of TigerData, as we dive into the rapidly evolving world of data. Ajay shares his front-row perspective on the challenges and opportunities of building and scaling time-series databases in an era of AI-driven automation.From the mechanics of managing massive data streams to the bold bets shaping the future of IoT, this conversation goes deep into what's breaking, what's working, and what's next. Whether you're a data engineer, tech leader, or simply fascinated by the speed of AI innovation, this episode is packed with insights you won't want to miss.01:15 Meet AJ Kulkarni04:29 TigerData07:16 Timeseries 09:25 Use Cases 11:03 Why Progress? 11:58 Why TigerData16:05 AI is Everything21:06 The Fastest Postgres 25:45 Advanced Features28:53 Future of IOT36:48 The Future of TigerData38:03 San Francisco38:26 A Big Bet41:06 Good BooksLinkedIn: https://www.linkedin.com/in/ajaykulkarni/Website:  https://tigerdata.comWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a textThis week on Making Data Simple, join Ajay Kulkarni, CEO and co-founder of TigerData, as we dive into the rapidly evolving world of data. Ajay shares his front-row perspective on the challenges and opportunities of building and scaling time-series databases in an era of AI-driven automation.From the mechanics of managing massive data streams to the bold bets shaping the future of IoT, this conversation goes deep into what's breaking, what's working, and what's next. Whether you're a data engineer, tech leader, or simply fascinated by the speed of AI innovation, this episode is packed with insights you won't want to miss.01:15 Meet AJ Kulkarni04:29 TigerData07:16 Timeseries 09:25 Use Cases 11:03 Why Progress? 11:58 Why TigerData16:05 AI is Everything21:06 The Fastest Postgres 25:45 Advanced Features28:53 Future of IOT36:48 The Future of TigerData38:03 San Francisco38:26 A Big Bet41:06 Good BooksLinkedIn: https://www.linkedin.com/in/ajaykulkarni/Website:  https://tigerdata.comWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Capital Investment Advisors' managing partner shares a clear-eyed look at what's hype, what's working, and how to experiment safely with AI. Host: Steve Sanduski, CFP. Learn more about your ad choices. Visit megaphone.fm/adchoices

Make way for the next wave of GenAI..... Agentic AI Browsers. And while we've seen rumors that OpenAI is going all-in on an AI browser, the first big player is already here in Perplexity's Comet Browser. Join us as we break down how Perplexity Comet works, what makes it different, and 5 Business Use-Cases for ROI. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn :Thoughts on this? Join the convo on today's LinkedIn stream and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Rise of Agentic AI Browsers ExplainedPerplexity Comet's Hybrid AI ArchitectureLocal vs. Virtual Browser Agentic WorkflowsPerplexity Comet Key Features and AccessConnecting Google Services with Comet BrowserAgentic AI Browser Live Demo Use CasesMulti-Platform Personalized Business ResearchAutomated Market Research and Competitive AnalysisPerplexity Comet Cross-Tool Workflow AutomationAgentic AI Browsers vs. Traditional AI ChatbotsTimestamps:00:00 Everyday AI for Business Pros04:56 Agentic AI Browsers Revolutionizing Tech07:49 Advancements in AI Computer Agents09:55 Comet: Chromium-Based Browser Essentials14:43 Streamlining Tasks with Perplexity Integration19:01 AI-Powered Google Drive Personalization21:24 Square: Trusted Business Payment Solutions25:53 Preparing Keynote on Agentic AI29:59 Agentic AI: Revolutionizing Web Browsers31:56 "Agentic AI to Revolutionize Workflows"34:46 Streamlined Scheduling and Market AnalysisKeywords:Perplexity Comet, agentic AI browser, agentic AI, AI browser, business use cases, ROI, Perplexity app, hybrid AI, cloud AI, on-device AI, Comet browser, Chromium, browser automation, multi-platform research, deep research modes, AI desktop assistant, iOS assistant, Google Chrome, browser workflows, Chrome extensions, Microsoft Edge, computer using agents, virtual browser, computer vision, connector integration, Gmail integration, Google Drive integration, calendar management, task automation, prompt engineering, personalized research, market research, competitive analysis, social media automation, email management, calendar automation,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)Ready for ROI on GenAI? Go to youreverydayai.com/partner Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

If you're not exploring ChatGPT-5 use cases right now, you're already falling behind. In this episode, I break down six insane ways ChatGPT-5 is transforming business—from autonomous multi-step agents to deep research, workflow automation, and custom AI teammates. You'll see how these tools can plan travel, absorb massive knowledge bases, integrate with your live business data, and even create specialized sub-agents for SEO, finance, and more. Whether you're running marketing campaigns, streamlining operations, or scaling a company, this is where the biggest opportunities are right now. (00:00) Six ChatGPT-5 Use Cases That Will Make You More Money (00:18) Multi-Step Automation for Travel Planning (02:05) Deep Research with Bigger Context Windows (04:56) Integrating ChatGPT-5 with Business Tools (MCP) (07:13) Building Specialized Workflow Agents with Cursor + Claude Code (10:25) Creating Custom AI Teammates for Onboarding & Training (11:37) Conclusion & Next Steps How to Connect: IG: /ericosiu X: /ericosiu

This episode is sponsored by SGNL. Visit sgnl.ai/idac to learn more.In this sponsored episode of Identity at the Center podcast, hosts Jeff and Jim discuss hot trends in the identity space, focusing on continuous identity with their guest Erik Gustavson, co-founder and CPO at SGNL. Erik shares his journey into the IAM space, exploratory projects, the thought processes behind SGNL's continuous identity solutions, and provides insights on how SGNL's approach integrates with existing identity and security tools. He delves into trends such as the convergence of identity and security, the generational change in identity tech, and the practical use cases SGNL addresses. The episode concludes with a light-hearted conversation about the perfect meal for Jeff, reflecting Eric's passion for cooking.Connect with Erik: https://www.linkedin.com/in/erikgustavson/Learn more about SGNL: https://sgnl.ai/idacTimestamps00:00 Introduction and Episode Overview00:36 Sponsor Spotlight: SGNL01:10 Guest Introduction: Erik Gustavson01:41 Eric's Journey into the IAM Space05:47 Role of a Chief Product Officer07:54 The Concept of Continuous Identity20:26 Data Integration and Policy Enforcement26:40 Target Audience for SGNL29:42 Introduction to SGNL's Ecosystem30:13 Complementing Existing Systems30:44 Challenges with Current Identity Solutions33:27 New Trends in Authorization Management34:09 Aligning with AMP and PBA37:58 Use Cases and Real-World Applications46:31 What Sets SGNL Apart48:37 Future Trends in Identity and Security52:35 A Lighter Note: Cooking and Personal Interests58:32 Conclusion and Final ThoughtsConnect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at idacpodcast.com