Podcasts about Predictive maintenance

Im aktuellen Podcast hatte ich Dr. Michael Ruf zu Gast – President of European Market bei SuperPanther. Ein Name, der in Europa bislang noch nicht vielen geläufig sein dürfte, im Nutzfahrzeugbereich aber für einiges an Bewegung sorgen könnte. Denn SuperPanther hat ambitionierte Pläne: Der Hersteller aus China will bis 2030 rund 16.000 vollelektrische LKWs mit eigener Technologie auf europäische Straßen bringen – und das mit einem Mix aus lokaler Fertigung, datengetriebenem Energiemanagement und direktem Kundenkontakt. Die Basis dafür liefert ein Truck, der bereits in China im Einsatz ist. Dort wurde vor rund einem Jahr der erste E-LKW in Serie gebracht – eine schwere Zugmaschine mit 6x4-Konfiguration. Für Europa wird das Modell auf eine 4x2-Ausführung umgebaut. Die technische Entwicklung läuft vollständig in China, doch für den europäischen Markteintritt setzt man auf starke Partner: „Die Technologie kommt von uns, die Fertigung übernimmt Steyr Automotive in Österreich“, so Michael Ruf. Diese Kombination aus Hightech und Erfahrung soll Qualität und Verlässlichkeit garantieren. Beeindruckend ist vor allem die Detailtiefe, mit der SuperPanther das Gesamtsystem optimiert hat: Zwei Elektromotoren mit zusammen rund 500 kW Dauerleistung, ein durchgängig konstruiertes Achsgehäuse, Silizium-Carbid-Inverter mit Soft-Switching-Technologie, ein dreistufiges Thermomanagementsystem mit Wärmepumpe bis minus 30 Grad. Das spart nicht nur Energie – „Wir brauchen bis zu 60 Prozent weniger für Heizung und Kühlung“, sagt Ruf – sondern bringt auch bis zu 15 Prozent mehr Reichweite. Im Praxiseinsatz soll der Truck bis zu 500 Kilometer schaffen, Tendenz steigend. Die Batterie fasst über 600 kWh, geladen wird mit High Power Charging und perspektivisch auch per Megawatt-Charging. Ruf relativiert jedoch: „Die meisten Kunden brauchen das gar nicht – sie wollen lieber verlässlich und effizient laden, auch mal mit 50 kW, wenn's passt.“ Neben der Hardware hebt SuperPanther vor allem die Softwarekompetenz hervor. Da sämtliche Komponenten selbst entwickelt wurden, kann der Verbrauch in Echtzeit optimiert werden – sowohl fahrerunabhängig als auch durch personalisierte Anpassung. Erste Tests mit Kunden zeigten: „Wir haben die Verbrauchswerte von 1,3 auf 1,05 kWh pro Kilometer senken können – bei voll beladenem LKW.“ Ein Knackpunkt im Nutzfahrzeugmarkt ist das Thema Vertrauen. Ruf ist sich dessen bewusst: „Als neue Marke müssen wir mehr tun als andere – vor allem beim Service.“ Geplant sind ein zentrales Ersatzteillager, Vorhaltung von Teilen in Servicezentren und sogar Ersatztrucks im Fall der Fälle. Zudem setzt man auf Predictive Maintenance – inklusive DSGVO-konformer Datenspeicherung auf europäischen Servern. Auch beim Preis positioniert sich SuperPanther differenziert. Man wolle nicht Dumping betreiben, sondern ein attraktives Gesamtpaket anbieten – inklusive Ökosystem mit eigener Ladeinfrastruktur und optionaler Energiegewinnung. Der Vertrieb erfolgt direkt, mit enger Kundenbindung und individuellen Lösungen. „Wir wollen, dass unsere Kunden sagen: Das war gut gelöst.“ Der Serienstart in Europa ist für Mitte 2026 vorgesehen, erste Märkte sind Deutschland, Österreich und die Schweiz. Doch auch andere Länder seien denkbar – immer in Abhängigkeit vom Kundeninteresse. „Wenn einer aus Schweden kommt, machen wir es möglich.“ Und die europäische Variante wird dann sogar weiterentwickelt sein als die erste chinesische Version: „Die Kabine ist hochwertiger, die E-Achse leistungsfähiger – wir entwickeln kontinuierlich weiter.“ Nun aber genug der Vorrede – lasst uns direkt ins Gespräch mit Dr. Michael Ruf einsteigen.

"We have zero customer acquisition cost with a hardware business." This seemingly impossible statement from Amit Gupta reveals a counterintuitive truth: asset-heavy businesses can create stronger competitive moats than asset-light ones. While Silicon Valley preaches software scalability, Amit proved that owning physical infrastructure can lead to supply-constrained growth where customers queue up for your product. Amit Gupta is the Co-founder and CEO of Yulu, India's largest shared electric mobility platform with 45,000+ vehicles facilitating over 80 million rides and 20+ million monthly deliveries. Previously, he co-founded InMobi, one of India's first profitable unicorns valued at $1+ billion, where he drove global expansion across 70+ countries and helped build a $200 million revenue business. From mobile advertising networks to electric vehicle fleets, Amit has mastered the art of building category-defining companies in completely different industries. Key Insights from the Conversation:

www.iotusecase.com#Kubernetes #ManagedKubernetes #CloudSovereigntyIn Episode 171 des IoT Use Case Podcasts spricht Gastgeberin Ing. Madeleine Mickeleit mit Fabian Peter, CEO von ayedo, über den industriellen Einsatz von Kubernetes – jenseits von IT-Silos und DevOps-Klischees.Die Folge zeigt, wie Unternehmen Use Cases wie Predictive Maintenance effizient skalieren, Updates automatisiert ausrollen und Compliance-Anforderungen erfüllen können. Fabian gibt praxisnahe Einblicke in Projekte aus Maschinenbau und Energieversorgung – und erklärt, wie ein europäischer Tech-Stack Kubernetes auch On-Premise möglich macht.Folge 171 auf einen Blick (und Klick):(13:52) Herausforderungen, Potenziale und Status quo – So sieht der Use Case in der Praxis aus(20:15) Lösungen, Angebote und Services – Ein Blick auf die eingesetzten Technologien(27:23) Übertragbarkeit, Skalierung und nächste Schritte – So könnt ihr diesen Use Case nutzenPodcast ZusammenfassungKubernetes ist längst mehr als ein Thema für IT-Teams – es wird zur Schlüsseltechnologie, um industrielle Use Cases vom Prototypen in den Rollout zu bringen. In dieser Folge spricht Fabian Peter, CEO von ayedo, über konkrete Herausforderungen in der Fertigung: verteilte Maschinen, aufwendige Updates, fehlende Standardisierung und wachsende Compliance-Anforderungen.Er zeigt, wie Kubernetes als Betriebsplattform für containerisierte Anwendungen genutzt werden kann – etwa für Predictive Maintenance, Datenanbindung über OPC UA oder API-basierte Herstellerintegration. Der Vorteil: Updates laufen automatisiert, Änderungen lassen sich in Minuten live bringen und Anwendungen bleiben auch bei komplexer Infrastruktur ausfallsicher.Viele Unternehmen, so Fabian, unterschätzen die Einstiegshürden – gerade im Mittelstand fehlt oft das Know-how. ayedo bietet deshalb Managed Services, mit denen Firmen ihre Software auf Kubernetes betreiben können: ob für Drittanbieteranwendungen oder eigene Entwicklungen. Besonders wichtig ist dabei der europäische Stack – datenschutzkonform, flexibel und mit persönlichem 24/7-Support.Diese Episode richtet sich an Digitalisierungsverantwortliche aus Industrie, Maschinenbau und Energieversorgung, die ihre IT/OT-Systeme standardisieren und zukunftssicher betreiben wollen – ohne sich in der Hyperscaler-Komplexität zu verlieren.-----Relevante Folgenlinks:Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)Fabian (https://www.linkedin.com/in/derfabianpeter/)ayedo (https://ayedo.de/)ayedo Discord Community (https://discord.com/invite/uymn6HdCNB)Souveräne Cloud (https://ayedo.de/posts/souverane-cloud-anspruch-realitat-und-technische-auswege/)Jetzt IoT Use Case auf LinkedIn folgen

www.iotusecase.com#MQTT #EMQX #IoTPlattformFolge 169 auf einen Blick (und Klick):(14:52) Herausforderungen, Potenziale und Status quo – So sieht der Use Case in der Praxis aus(19:51) Lösungen, Angebote und Services – Ein Blick auf die eingesetzten Technologien(28:55) Ergebnisse, Geschäftsmodelle und Best Practices – So wird der Erfolg gemessenPodcast ZusammenfassungEffiziente IoT-Datenflüsse – MQTT in der industriellen Praxis richtig nutzenIn dieser Folge erklärt Stefano Marmonti (EMQ GmbH), warum MQTT als leichtgewichtiges Protokoll eine zentrale Rolle im industriellen IoT spielt – und wie Unternehmen durch klare Datenstrukturen und vorgefertigte Integrationen viel Zeit und Kosten sparen können.Ob Sensoren, Maschinen oder Gateways: Wer hunderte bis Millionen Geräte im Feld hat, steht vor der Herausforderung, Daten effizient ins Backend zu bringen. Der MQTT-Broker EMQX bietet dafür über 45 Out-of-the-Box-Integrationen – darunter Kafka, SAP und Snowflake – und erspart vielen Teams die Entwicklung eigener Konnektoren.Was dich in der Folge erwartet:Wie ein Hersteller von Regensensoren mit MQTT 60 % der Telekommunikationskosten senken konnteWarum MQTT ideal für Anwendungen wie Smart Metering, Predictive Maintenance und bidirektionale Kommunikation istWie Store-and-Forward, schlanke Datenformate und definierte Topic-Strukturen für Zuverlässigkeit sorgen Was hinter dem Unified Namespace steckt – und wie Plug-and-Play mit Sparkplug gelingtWelche technologischen Trends wie Datenpipelines oder KI-gesteuerte Verteilung in Zukunft an Relevanz gewinnen Diese Folge richtet sich an alle, die IIoT-Systeme professionell betreiben oder aufbauen – von OT-Teams über Plattformarchitekt:innen bis zu IT-Strateg:innen in Industrie und Infrastruktur.Jetzt reinhören und erfahren, wie MQTT + EMQX helfen, Daten effizient dorthin zu bringen, wo sie gebraucht werden.-----Relevante Folgenlinks:Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)Stefano (https://www.linkedin.com/in/stefano-marmonti-07375a29/NeuronEX (https://www.emqx.com/en/products/neuronex)EMQ Plattform (https://www.emqx.com/en/pricing)OPC UA + MQTT (https://opcconnect.opcfoundation.org/2019/09/opc-ua-mqtt-a-popular-combination-for-iot-expansion/)MQTT Sparkplug (https://www.emqx.com/en/solutions/mqtt-sparkplug)Jetzt IoT Use Case auf LinkedIn folgen

Fri, 18 Apr 2025 19:00:00 +0000 https://logistk4punktnull.podigee.io/368-neue-episode ba994ba947fb0059ad1acd5b58c29e61 368 full no Andreas und Tobias

Many factories struggle with unexpected equipment failure, resulting in costly downtime hits without warning.  How can you avoid this with predictive maintenance strategies?Join us as we welcome special guest Ryan Treece from FreeWave Technologies for a discussion covering many industry insights.  Discover how implementing predictive maintenance using vibration sensors can alert you in advance, minimizing surprise breakdowns.Huge thank you to Automate.org for sponsoring this episode!The biggest automation party of the year is back! Join us at Automate, where the best in robotics, cobots, AI, machine vision, motion control, and cutting-edge automation tech all come together in one place. It's where innovation meets connection — with amazing companies, brilliant people, and non-stop inspiration. Don't miss it. We'll be there... will you?

In this episode of Workforce 4.0, host Ann Wyatt speaks with Scott Silknitter, VP of Strategy at Motion Controls Robotics, Inc. about the entrepreneurial spirit, the importance of positivity, and navigating the changing landscape of manufacturing. They discuss strategies for near-shoring and re-shoring, the significance of building partnerships, and the need for tailored training to address the skills gap in the workforce. Scott emphasizes the importance of attitude in both personal and professional settings, and the need for companies to adapt to the evolving employment landscape. In this conversation, Scott Silknitter discusses the importance of strategic growth planning for companies, emphasizing the need for automation and technology, particularly AI, to enhance workforce efficiency and predictive maintenance in manufacturing. He highlights the significance of company culture and employee engagement, offering valuable advice for the new generation entering the workforce. The discussion also touches on the impact of AI innovations in supply chain management and the necessity of maintaining a positive outlook in the workplace.In This Episode:-00:00: Introduction to Scott Silknitter and Workforce 4.0-03:06: The Entrepreneurial Spirit and Overcoming Challenges-06:00: The Importance of Attitude in Karaoke and Life-09:07: Navigating Economic Changes in Manufacturing-11:46: Proactive Strategies for Near-shoring and Re-shoring-15:02: Building Partnerships for Sustainable Manufacturing-18:02: Addressing the Skills Gap in the Workforce-20:55: Tailored Training for Workforce Development-23:52: The Future of Employment and Employee Retention-25:26: Strategic Growth Planning for Companies-26:50: The Role of Automation in Workforce Efficiency-32:31: Predictive Maintenance and Its Impact-36:35: AI Innovations in Supply Chain Management-41:51: Advice for the New WorkforceMore About Scott:With over 25 years of diverse industry experience in Enterprise Business Development, Sales Management, Marketing and Operations, Scott is a patent holding, entrepreneurial leader who can formulate, implement, coach and drive strategies to achieve growth. Scott has diverse industry experience in robot automation, contract manufacturing, distribution, e-learning, and capital equipment sales and product development. Currently the VP of Strategic Development with Motion Controls Robotics, Scott's mission is to help his company and his company partners reach their full potential and deliver value to the industry at scale. Learn more about Scott here. The Future of Work (and this Episode) Is Brought To You By Secchi:Secchi is a revolutionary workforce engagement tool created for organizations to make data-driven frontline decisions in real-time. By measuring and combining multiple people-related lead indicators, Secchi provides in-the-moment visibility into individual frontline employee performance, team performance, engagement/turnover risks, and positive employee behaviors all while removing the traditional barriers of administrative burden on leaders. To learn more about Secchi, check them out here.

Enterprise service is undergoing a radical reinvention—and not just in terms of technology. In this episode, inspired by the article Connecting disconnected people and processes: The reinvention of enterprise service, we dive into the transformation of enterprise service management from reactive fixes to predictive, connected, and value-driven strategies.You'll hear how businesses are moving away from isolated service models toward deeply integrated ecosystems that connect people, processes, data, and assets. Whether it's outcome-based contracts, immersive omnichannel support, or intelligent field service, this isn't just about doing service better—it's about redefining what service means.What You'll Learn in This Episode:1. The Real Cost of Disconnected SystemsHow silos between departments, systems, and even physical assets create risk and inefficiencyWhy a lack of unified data leads to poor customer experiences and underused insights2. From Products to Outcomes: Reinventing Service ModelsThe shift toward products-as-a-service (e.g. selling “thrust hours” instead of engines)Why companies are building revenue models around asset performance, not asset ownership3. Immersive, Frictionless Customer ExperiencesThe need for seamless, cross-channel support—from chat to self-service to in-field techniciansHow AI and unified workspaces help agents deliver faster, smarter resolutions4. Precision and Proactivity in the FieldUsing AI and scheduling tools to get the right people and parts in the right place at the right timeEmpowering field service workers with mobile intelligence and automated safety protocols5. Revolutionizing Equipment Performance with IoT + AIEmbedding sensors into machines to predict failures before they occurThe rise of data-driven maintenance models that reduce downtime and extend asset life6. The Power of End-to-End ConnectivityWhy surface-level apps and fragmented systems don't cut it anymoreThe business case for a single management framework—“one system to rule them all”Key Takeaways:Enterprise service management is shifting from reactive problem-solving to proactive value creation.A shared digital thread connects every touchpoint—from design and delivery to support and upgrades.Composable, AI-powered systems are unlocking new business models, like outcome-based contracts and usage-based billing.Optimized service efficacy means not just doing more, but doing what actually moves the needle.SAP and other innovators are enabling businesses to move from isolated fixes to intelligent networks.Subscribe to our podcast for more deep dives into the reinvention of business models and service delivery. Visit The Future of Commerce for expert insights into how enterprise technology is transforming customer experiences. Share this episode with leaders in IT, operations, or service delivery looking to elevate enterprise performance.

www.iotusecase.com #IoT-PLATTFORM #MASCHINEN-UND-ANLAGENBAU #DIGITAL-BUSINESSIn der 159. Episode des IoT Use Case Podcast spricht Ing. Madeleine Mickeleit mit Andreas Rauch, Head of  Digital Business bei GF Machining Solutions und Andreas Thal, CEO von symmedia, über die Digitalisierung im Maschinenbau. GF Machining Solutions setzt auf die IoT-Plattform My rConnect, basierend auf dem symmediaHub, um Predictive Maintenance, Remote Support und Echtzeit-Datenanalysen zu ermöglichen. Wir beleuchten, wie Maschinenvernetzung Effizienz steigert, Wartung optimiert und Unternehmen beim Wandel von CapEx zu OpEx unterstützt.Folge 159 auf einen Blick (und Klick):(12:12) Herausforderungen, Potenziale und Status quo – So sieht der Use Case in der Praxis aus(18:32) Lösungen, Angebote und Services – Ein Blick auf die eingesetzten Technologien(28:14) Übertragbarkeit, Skalierung und nächste Schritte – So könnt ihr diesen Use Case nutzenZusammenfassung der PodcastfolgeGF Machining Solutions vernetzt Fräs-, Erodier- und Lasermaschinen, um Remote Support, Predictive Maintenance und Echtzeit-Datenanalysen zu ermöglichen. Dabei spielen Vibrations-, Geräusch- und Temperaturdaten eine zentrale Rolle, um Wartungsaufwände zu minimieren und Produktionsprozesse zu optimieren. Während Maschinenhersteller früher eigene Portale betrieben, ermöglicht der symmedia Hub nun eine flexible IoT-Integration, bei der die Datenhoheit vollständig beim Kunden bleibt – ein entscheidender Vorteil angesichts regulatorischer Vorgaben wie dem EU Data Act. Neben der technischen Umsetzung geht es auch um einen strategischen Wandel: Die Industrie bewegt sich weg von einmaligen Investitionen (CapEx) hin zu kontinuierlichen digitalen Services (OpEx). Künstliche Intelligenz und digitale Zwillinge werden dabei eine immer größere Rolle spielen, um Maschinen vorausschauend zu warten und Stillstände zu vermeiden.Für Unternehmen, die ihre IoT-Strategie vorantreiben wollen, bietet diese Entwicklung enorme Chancen – vorausgesetzt, die Netzwerkinfrastruktur ist frühzeitig darauf ausgelegt.-----Relevante Folgenlinks:Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)Andreas (https://www.linkedin.com/in/andreas-thal-b9201226/)Andi (https://www.linkedin.com/in/andreas-rauch-099554b8/)symmedia Hub (https://symmedia.de/de/symmedia-hub-overview-efficiency-and-cost-savings-through-centralized-machine-management/)My rConnect (https://www.gfms.com/com/en/machines/digitalization/myrconnect.html)GF auf der EMO Hannover 2025 (https://visitors.emo-hannover.de/aussteller/gf-machining-solutions/068969#detailExhibitorId4)Jetzt IoT Use Case auf LinkedIn folgen

The reliability world is shifting—fast. In this episode of Reliability Radio, hosts Jonathan Guiney and Brendon Russ(JLL) sit down with Fabrice Brion, CEO of I-Care, to discuss how AI and IoT are reshaping predictive maintenance.

www.iotusecase.com#IOT-PLATTFORM #ERSATZTEILE #LOGISTIKIn dieser Folge sprechen wir mit Nabil Souita, International Product Manager IoT und Digitalisierung bei Novoferm, und Alexander Niemann, CEO von Smartsquare, über smarte Servicelösungen für Industrietore. Novoferm ist ein führender Anbieter von Tür- und Torlösungen, während Smartsquare auf Softwarelösungen mit IoT-Anbindung spezialisiert ist. Gemeinsam zeigen sie, wie Predictive Maintenance und eine digitale Service-Cloud Unternehmen dabei helfen, Ausfallzeiten zu minimieren, den Service zu optimieren und die Effizienz von Toranlagen zu steigern. Am Beispiel ihrer Zusammenarbeit wird deutlich, wie smarte Datennutzung dabei hilft, Wartung gezielter zu planen, Ersatzteile schneller zu beschaffen und die Anlagenverfügbarkeit nachhaltig zu verbessern. Folge 158 auf einen Blick (und Klick):(09:39) Herausforderungen, Potenziale und Status quo – So sieht der Use Case in der Praxis aus[20:27] Lösungen, Angebote und Services – Ein Blick auf die eingesetzten TechnologienZusammenfassung der PodcastfolgeSmartsquare und Novoferm zeigen, wie IoT-Technologie den Service für Industrietore revolutioniert. Mit einer smarten Service-Cloud und Predictive Maintenance-Lösungen helfen sie Unternehmen, Ausfallzeiten zu minimieren, Wartungseinsätze effizienter zu planen und die Verfügbarkeit von Anlagen zu erhöhen. Live-Daten & effizientere Wartung Durch die NovoServiceHub-Plattform werden die Tore in Echtzeit überwacht. Ein Bluetooth-Mesh-Netzwerk überträgt die Daten direkt in die Cloud, sodass Fehler frühzeitig erkannt und gezielte Wartungsmaßnahmen eingeleitet werden können. Die NovoAssist-App unterstützt Techniker dabei, direkt vor Ort die richtigen Ersatzteile zu identifizieren und Serviceeinsätze optimal vorzubereiten. Mehrwert für Betreiber: – Kürzere Stillstandszeiten durch frühzeitige Fehlererkennung – Effizientere Serviceeinsätze durch gezielte Planung – Schnellere Ersatzteilbeschaffung dank digitaler Ersatzteillisten Predictive Maintenance & Datenintegration Die Lösung ermöglicht es, Betriebsdaten wie Zyklen, Fehlercodes oder Stromverbrauch zentral zu erfassen und zu analysieren. So lassen sich Ausfälle vorhersagen, Ersatzteile rechtzeitig bereitstellen und die Effizienz der Anlagen nachhaltig steigern. Die Kombination aus Smartsquare's Service-Cloud und Novoferm's intelligenter Steuerung schafft eine zukunftssichere Lösung für smarte, effiziente Wartungsprozesse – mit direktem Mehrwert für Betreiber weltweit.-----Relevante Folgenlinks:Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)Alexander (https://www.linkedin.com/in/niemann-smartsquare/)Nabil (https://www.linkedin.com/in/nabil-souita-801369131/)Smartsquare (https://www.smartsquare.de/referenz-projekte/#service-cloud-fuer-novoferm)NovoAssist App Store (https://apps.apple.com/de/app/novoassist/id6479743558NovoAssist Google Play (https://play.google.com/store/apps/details?id=de.novoferm.novoassist&hl=en&pli=1)Jetzt IoT Use Case auf LinkedIn folgen

www.iotusecase.com#WEBASTO #SHOPFLOOR #TRANSPARENZ #RETROFIT #WARTUNGIn dieser Folge sprechen wir mit Jens Viertel, Teammanager digital Products von SITEC, und Christian Groß, Managing Director von in.hub, über digitale Services für die vernetzte Produktion. SITEC entwickelt Lösungen im Maschinen- und Anlagenbau und bietet industrielle Fertigungsdienstleistungen, während in.hub mit seinen IoT-Gateways und dem Betriebssystem SIINEOS die nahtlose Maschinenanbindung ermöglicht. Gemeinsam zeigen sie am Beispiel von Webasto, wie Energiemonitoring und Predictive Maintenance als digitale Services helfen, Betriebskosten zu senken und Maschinenstillstände zu vermeiden.Folge 156 auf einen Blick (und Klick):(15:46) Herausforderungen, Potenziale und Status quo – So sieht der Use Case in der Praxis aus(24:57) Lösungen, Angebote und Services – Ein Blick auf die eingesetzten TechnologienZusammenfassung der PodcastfolgeSITEC und in.hub zeigen, wie IoT-Technologien den Shopfloor effizienter machen. Mit digitalen Services für Energiemonitoring und Predictive Maintenance ermöglichen sie Unternehmen wie Webasto, Betriebskosten zu senken, ungeplante Stillstände zu vermeiden und ihre Maschinen optimal zu nutzen.Energiemonitoring & BetriebskostenoptimierungSITEC setzt auf die connACT-Plattform, um den Energieverbrauch von Maschinen in Echtzeit zu erfassen und zu analysieren. Die IoT-Gateways von in.hub ermöglichen eine nahtlose Anbindung und smarte Datenauswertung. So lassen sich Einsparpotenziale erkennen und Betriebszeiten optimieren.Mehrwert für Webasto und andere Kunden:– Geringere Energiekosten durch datengetriebene Optimierung– Nachhaltigere Produktion durch effizientere RessourcennutzungPredictive Maintenance & Condition MonitoringDurch die kontinuierliche Überwachung des Maschinenzustands werden Anomalien frühzeitig erkannt. In Verbindung mit den IoT-Gateways von in.hub lassen sich Wartungsmaßnahmen gezielt planen, bevor es zu einem Ausfall kommt.Mehrwert für Webasto und andere Kunden:– Minimierung ungeplanter Stillstände und Produktionsausfälle– Höhere Maschinenverfügbarkeit und geringere WartungskostenDie Kombination aus SITECs connACT-Plattform, in.hubs IoT-Gateways und SIINEOS als Betriebssystem bietet eine leistungsfähige, einfach integrierbare Lösung. Die Zusammenarbeit mit Webasto zeigt, wie sich IoT-Technologie konkret in der Produktion umsetzen lässt – mit direkten Einsparungen und höherer Prozesssicherheit. Jetzt reinhören und mehr über datengetriebene Produktionsoptimierung erfahren.-----Relevante Folgenlinks:Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)Christian (https://www.linkedin.com/in/christian-gross-inhub/)Jens (https://www.linkedin.com/in/jens-viertel/)in.hub Gateways (https://www.inhub.de/produkte/iot-gateways)in.hub SIINEOS (https://www.inhub.de/produkte/software-siineos)Webasto (https://www.webasto.com/de-de/karriere/standorte-und-werke/neubrandenburg.html)connACT-Plattform (https://www.connact-services.com/de/)Jetzt IoT Use Case auf LinkedIn folgen

In this episode of the HVAC Know It All Podcast, host Gary McCreadie sits down with HVAC veteran Greg Crumpton to dive deep into the 2025 industry outlook. With over four decades of experience, Greg offers valuable insights on A2L refrigerant transitions, AI-driven predictive maintenance, and the evolution of HVAC tools and technologies.  They discuss the psychological shift needed as the industry embraces mildly flammable refrigerants, and why technicians should be ready to adapt. From tool innovations and the rise of smart diagnostics to the importance of IAQ (Indoor Air Quality) post-COVID, this episode covers everything HVAC professionals need to stay ahead in the coming years.  Greg also emphasizes the importance of fostering a forward-thinking, professional HVAC community, where knowledge sharing and mentorship are key drivers of industry growth. He showcases how collaborative efforts, continuous education, and embracing technology can lead to substantial advancements within the trade. Their focus typically falls into two categories: Educate: HVAC technicians and professionals striving to deepen their understanding of evolving industry trends from navigating A2L refrigerant transitions to adopting predictive maintenance and AI-driven diagnostics. This is achieved through continuous learning, adapting to new tools, and staying updated on best practices. Empower: Individuals within the HVAC sector who aim to enhance their professional development by embracing technology shifts, fostering innovation, and contributing to a culture of knowledge sharing. This includes staying open to emerging tools like press fittings and smart diagnostic systems, while nurturing the next generation of HVAC talent. Greg shares insights on strengthening technician skill sets and fostering a culture of professionalism within the industry. He highlights strategies such as embracing new technologies, understanding industry standards, and mentoring newcomers to help bridge the skilled labor gap. The episode offers practical advice for HVAC professionals looking to refine their craft, adopt innovative tools, and position themselves as leaders in the evolving HVAC landscape. Expect to Learn:1. The A2L refrigerant transition, what it means for HVAC professionals in 2025.2. How predictive maintenance and AI are transforming HVAC service strategies.3. The evolution of HVAC tools from traditional gauges to smart diagnostics and compact tech4. Why press fittings are gaining traction over brazing and their future in HVAC.5. How to navigate the Indoor Air Quality (IAQ) landscape in a post-pandemic world.. Episode Highlights: [00:33] – Introduction & Greg's New Book Announcement [02:10] – The 2025 HVAC Outlook, Key industry changes and trends on the horizon. [03:00] – A2L Refrigerants & Safety Concerns and facts about mildly flammable refrigerants. [07:22] – Tool Safety & Compatibility. Understanding recovery machine requirements for A2Ls [11:24] – AI & Predictive Maintenance and Resistance to Change in Residential HVAC. [19:03] – OEMs vs Third-Party Control Systems. This Episode is Kindly Sponsored by: Master: www.master.ca Cintas: www.cintas.com/hvacknowitall Supply House: www.supplyhouse.com Cool Air Products: www.coolairproducts.net Lambert Insurance Services: www.lambert-ins.com Follow the Guest Greg Crumpton on: LinkedIn: https://www.linkedin.com/in/crumptonskilledtrades/ Service Logic: https://www.linkedin.com/company/service-logic/ Follow the Host: LinkedIn: https://www.linkedin.com/in/gary-mccreadie-38217a77/ Website: https://www.hvacknowitall.com Facebook: https://www.facebook.com/HVAC-Know-It-All-2/ Instagram: https://www.instagram.com/hvacknowitall1/ 

www.iotusecase.com#EDGE#TRENDS #PROGNOSENIn dieser Podcast-Folge diskutieren Ing. Madeleine Mickeleit, Knud Lasse Lueth, CEO von IoT Analytics und Tobias Mühlnikel, CTO and CPO Edge Business Unit von Portainer, die neuesten Entwicklungen und Herausforderungen im IoT-Markt. Die Reise beginnt mit einem Rückblick auf den IoT-Hype und die Plattform-Ära und führt bis zur aktuellen Konsolidierungsphase.Folge 154 auf einen Blick (und Klick):(13:11) Was ist ein Use Case für euch?(23:50) Welche Trends seht ihr?(32:29) Change Management(42:51) Was wird sich verändern?Zusammenfassung der PodcastfolgeEin zentrales Thema ist die IT-OT-Konvergenz, die Unternehmen vor große Herausforderungen stellt: Wie lassen sich IT- und OT-Welten erfolgreich verbinden? Die Diskussion beleuchtet Ansätze wie spezialisierte Teams oder interdisziplinäre Zusammenarbeit, um Brücken zwischen diesen beiden Bereichen zu bauen.Weitere wichtige Themen der Folge sind:Die Rolle von KI im IoT: KI hat sich von einer Randerscheinung zu einem Schlüsselfaktor entwickelt, insbesondere in Bereichen wie Predictive Maintenance, Quality Monitoring und Industrial Co-Pilots.Edge Computing: Die Verlagerung von Rechenkapazitäten näher an die Datenquelle reduziert Latenzen und ermöglicht Echtzeitanalysen – ein entscheidender Schritt für viele Industrieanwendungen.Industrial Data Ops: Moderne IoT-Plattformen entwickeln sich weiter, indem sie Daten nicht nur sammeln, sondern auch nahtlos kontextualisieren und analysieren.Herausforderung Change Management: Viele Unternehmen haben Schwierigkeiten, IoT-Use Cases über Standorte hinweg zu skalieren, da das Wissen oft isoliert bleibt.Priorisierung von Use Cases: Wie können Unternehmen den richtigen Fokus setzen? Welche Rolle spielen Managed Services, um den Einstieg und die Skalierung zu erleichtern?Ein Blick in die Zukunft:Generative KI und benutzerfreundlichere Interfaces werden voraussichtlich die Interaktion mit IoT-Daten grundlegend verändern. Gleichzeitig bleibt die Standardisierung von Hardware ein essenzieller Treiber für die Weiterentwicklung des Marktes.-----Relevante Folgenlinks:Madeleine (https://www.linkedin.com/in/madeleine-mickeleit/)Tobias (https://www.linkedin.com/in/tobias-mue/Knud (https://www.linkedin.com/in/knudlueth/)IoT market update 2023 (https://iot-analytics.com/iot-market-size/)IoT Startup Landscape 2024 (https://iot-analytics.com/iot-startup-landscape/)State of IoT 2024: Number of connected IoT devices growing 13% to 18.8 billionglobally (https://iot-analytics.com/wp/wp-content/uploads/2024/09/INSIGHTS-RELEASE-Number-of-connected-IoT-devices-vf.pdf)Jetzt IoT Use Case auf LinkedIn folgen

Ross Piermarini is the co-founder of symmetRE, a Chicago-based proptech firm specializing in automating data aggregation and reporting for commercial real estate investors. Prior to founding symmetRE, Ross worked in the Leveraged Finance group at BMO Capital Markets, focusing on real estate clients. His firsthand experience with the challenges of manual data aggregation and reporting in the real estate sector motivated him to develop solutions that streamline these processes. Under Ross's leadership, symmetRE has launched an AI-enabled platform designed to eliminate the time-consuming aspects of data collection and analysis, allowing real estate professionals to concentrate on optimizing asset performance. Ross also shared his insights into the integration of AI in commercial real estate, and he discusses the necessity of adopting advanced technologies to enhance efficiency and decision-making in the sector.(01:13) - Ross's & symmetrRE's origin(04:42) - Challenges in Real Estate data management(08:06) Symmetry's solutions & client success(13:54) - Feature | Berkadia's BeEngaged - Connect with the team: Ecosystem of founders, industry professionals, and capital providers dedicated to redefining the Commercial Real Estate space.(17:45) - symmetry's long-term vision(22:48) - Marketing vs. product delivery in Proptech(26:07) - Feature | Blueprint - The Future of Real Estate 2025(26:55) - The Role of AI in Real Estate(29:20) - Collaboration Superpower: Marc Benioff (Salesforce CEO)

Rob Garmaise, VP of AI research at Info-tech Research Group, is at the forefront of Info-tech research, helping clients identify best practices across their IT operations. They conduct extensive primary and secondary research, speaking with industry experts and other clients to understand the drivers of value and proof that a given practice leads to better results. AI Vendors, Verticals, and Research Taxonomy Rob explains that the firm has a vast research taxonomy, with AI being an important part of it. They have a team in place to connect with thought-leading vendors and their leading adopter clients to gather insights on various functions, rules, verticals, and sub-segments where AI is taking root. The strength in the marketplace currently lies in the horizontal focus on functions and roles across organizations rather than the various verticals or lines of business. Most AI vendors aim to maximize their total addressable market which is difficult to do when focusing on just one vertical. The Market and Vertically-orientated Competitors Rob predicts that the mix of vertically-oriented competitors will change as the market evolves. Currently, the strength is 80% on functions and roles, 20% on verticals. This approach allows AI vendors to maximize their total addressable market and stay competitive in the market. In this discussion, Rob discusses the implementation of AI solutions in various functions and roles within companies, including IT. He highlights the strengths in CO generation, data and analytics, service management, HR, sales, and marketing. AI in HR, Sales and Marketing, and Operations In HR, AI is being used to improve employee experience by indexing content and interacting with users. Talent acquisition recruiting uses AI on both sides of the recruiting equation, with AI being  used in talent assessment, helping to cut through biases and improve diverse hiring. Sales enablement and sales automation tools are the top lead and revenue-driving categories, while customer experience is the top cost-saving category. Operations are also being explored, with AI parsing information captured from video cameras for various applications such as shop floor settings, retail environments, and restaurants. Natural language conversations with equipment can lead to predictive maintenance, allowing organizations to strategize and optimize operations. Robert goes on to explain more about the improvements made using AI in HR, IT, and sales and management. AI-based Solutions in the Retail and Insurance Industry The conversation turns to the use of AI in various industries, including retail, and insurance. In the retail industry, AI-based solutions have impressed with their ability to scan store shelves with smartphones and receive critical metrics like stock availability, pricing, promotion, and competitor positioning. Smart Digital Signage solutions can also be used to adapt to demographics and reactions of customers. In the insurance industry, AI-based solutions include smart digital signage that can adapt to demographics and react to customer reactions. In the insurance industry, AI-based solutions include smart digital signage that can adapt to different demographics and respond to customer needs. Companies are exploring AI solutions to improve employee experience, sales, and marketing, while also focusing on cost-saving and predictive maintenance strategies. Robert discusses the potential benefits of AI in retail, such as real-time reactions to client information, and automated stock out detection. AI in the Legal and Financial Sectors In the legal sector, AI is being used for various purposes, including legal research, contract review, and contract management. This is particularly important for law firms and organizations with understaffed legal teams. In manufacturing, AI is being used to offer real-time instructions to machine line operators. Rob talks about disappointments in areas like financial services, healthcare, and government. In financial services, AI is being used for fraud detection, digital trust, and remote inspections. In insurance, AI can parse frequent documents into well-constructed spreadsheets or databases, and can conduct remote inspections. Rob also points out areas of disappointment.  Advice on Adopting AI  The conversation turns to the trend of AI being bought rather than built, particularly in the context of AI models. AI should be bought unless a build is absolutely necessary. The build side involves more uncertain investment levels and lead times, as it can lead to app sprawl and uncertainty in the market. Companies are advised to be deliberate about their build decisions, especially when it comes to AI models. On the talent side, companies are hiring new types of Chief AI officers or existing employees, such as Chief Digital Officers, Chief Technology Officers, and Chief Information Officers. These individuals are often left in charge of driving AI forward, but they may not have the necessary skills for building a new and unique model. On the build side, companies may need additional data scientists and data modelers, which can be challenging to achieve. On the consulting side, there is a growing trend of companies using top strategy firms on multiple AI projects. While most clients are still trying to orient themselves, consulting firms can help direct them towards buy-side scenarios where a POC or two can be done without a large implementation. Rob also touches on the importance of understanding the market and the potential benefits of AI solutions. Timestamps: 03:40: AI Market Insights and Research Methodology  05:28: Practical AI Applications in IT and Service Management 06:53: AI in HR and Talent Management  08:11: AI in Sales and Marketing  09:43: AI in Operations and Predictive Maintenance  11:31: AI in Retail and Supply Chain  14:49: AI in Legal and Manufacturing  17:55: Trends in AI Adoption and Talent Management 22:30: Consulting and AI Marketplace Links: Website: https://www.infotech.com/ YouTube: https://www.youtube.com/@InfoTechRG 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.      

ZusammenfassungIn dieser Episode von Fokus KI tauchen Stefan Ponitz und Ronny Siegel tief in die Welt der KI-gestützten Geschäftsmodelle ein. Sie präsentieren zehn Ideen, die Unternehmen nutzen können, um Prozesse zu optimieren und neue Märkte zu erschließen. Im Fokus stehen unter anderem personalisierte KI-Assistenten, automatisierte Content-Erstellung, Predictive Maintenance in der Industrie, KI-basierte Gesundheitsdiagnostik sowie intelligente Bildungsplattformen. Weiterhin beleuchten Stefan und Ronny konkrete Einsatzmöglichkeiten von KI in der Kreativbranche, der Marktforschung, dem Einzelhandel und der Content-Produktion. Sie diskutieren praxisnah, welche Chancen diese Technologien bieten und mit welchen Herausforderungen Unternehmen rechnen müssen. Dabei wird deutlich, wie KI die Arbeitswelt transformiert und Unternehmen Wettbewerbsvorteile verschaffen kann. Erfahren Sie in dieser Episode, welche Geschäftsmodelle das Potenzial haben, Branchen zu verändern – und wie auch Ihr Unternehmen davon profitieren kann. Take-aways der Folge:KI revolutioniert die Entwicklung neuer Geschäftsmodelle Nischenmärkte als Erfolgsfaktor im KI-Zeitalter Personalisierte KI-Assistenten optimieren interne Prozesse Effiziente und kostengünstige Content-Erstellung durch KI Predictive Maintenance verhindert Produktionsausfälle Automatisierte und präzisere Diagnostik im Gesundheitswesen Individualisiertes Lernen auf Bildungsplattformen durch KI KI-gestützte Lösungen als Wettbewerbsvorteil für kleine Unternehmen Strategische Implementierung und Feedback-Schleifen für KI-Erfolg KI-gestützte Marktforschung ermöglicht personalisierte Ansprache Kontaktdaten:Stefan Ponitz: https://www.fokus-ki.de https://www.linkedin.com/in/stefan-ponitz/ Ronny Siegel: https://conversion-junkies.de https://www.linkedin.com/in/ronny-siegel-78b7261ab/

From grounded AI models to explainable AI and overcoming data silos, the conversation dives into the nuts and bolts of creating domain-specific AI solutions. Balancing people, processes, and technology, this episode sheds light on the challenges and opportunities in leveraging AI for manufacturing reliability, maintenance, and optimization.

In this episode, Jesper Westerberg, Chief Product Officer at Predge, shares insights into the role of predictive maintenance in the rail industry. We discuss how data-driven solutions are transforming maintenance strategies, reducing costs, and improving reliability. Jesper highlights real-world applications, including innovative algorithms for predicting wheel damages and transforming maintenance planning. We also explore the challenges of adopting new technologies in a traditional sector and the importance of partnerships and modular solutions. Whether you're a rail professional or curious about innovation in transport, this episode offers a practical look at the potential of predictive maintenance and how smaller suppliers can drive change.

The future of industrial robotics. In it we cover turning the physical world into data, robots that climb, fly, swim, AI's ability to predict failures, and America's $5T aging infrastructure problem. Troy Demmer is Co-founder of Gecko Robotics, who use a fleet of advanced robots and AI software to help government and heavy industry maintain and manage their critical infrastructure. From navy vessels to power plants to dams, Gecko collects data on and delivers insights across over 500,000 of the worlds most important and critical infrastructure. It has developed a digital layer of intelligence over the built world to improve performance, prevent breakage and failures, and increasingly predict how an asset will behave in the future. The company has raised over $220M from top investors including Founders Fund and US Innovative Technology Fund. Gecko's co-founder and Chief Product Officer is Troy Demmer. A graduate from Carnegie Mellon University, Troy was previously in the healthcare industry working at the University of Pittsburgh Medical Center before launching his first startup 360Showings, which 3D rendered homes for the real estate market. Along with his work at Gecko Troy also runs his own venture firm, First Order Fund, which invests in early stage startups building moats using data. Sign up for new podcasts and our newsletter, and email me on danieldarling@focal.vcSee omnystudio.com/listener for privacy information.

How are truck makers using artificial intelligence to change how fleets keep their trucks on the road and generating revenue? To learn more, HDT executive editor Jack Roberts sat down with Volvo Trucks North America connectivity expert Magnus Gustafson at the recent American Trucking Associations' Management Conference and Exhibition for this episode of HDT Talks Trucking. Sponsored by: CAT Scale & Apollo Tire Learn More About AI and Predictive Maintenance: Volvo Trucks Debuts AI-Enabled Blue Service Contract at ATA What Smarter Computers and AI Mean for Predictive Maintenance Understanding AI in Trucking In this Episode, You'll Learn About: AI's Role in Truck Maintenance How Volvo is Applying AI to Predictive Maintenance  Maximizing Uptime and Reducing Costs Maintenance Based on Truck Usage  Difference Between Preventive and Predictive Maintenance  How Volvo's Fleet Management Process Works AI as an Aid, Not a Replacement  Future Potential for AI in Trucking Using Data to Improve Truck Specs and Performance

(0:50) - Infrastructure Defect Detecting AI Become a founding reader of our newsletter: http://read.thenextbyte.com/ As always, you can find these and other interesting & impactful engineering articles on Wevolver.com.

We spoke with Jay Hunt, Global Business Development Manager, Valmet, on the latest AI technology for valve predictive maintenance, including the evolution and benefits of this technology.

In this episode of the BulkLoads Podcast, guest Justin Brevik from Love's Shop Connect View talks about the intricacies of fleet maintenance management, discussing the benefits of maintenance software, outlier analysis, and effective cost control. Justin's expert insights highlight the importance of proactive maintenance, warranty tracking, and the impressive ROI achievable through dedicated software. Tune in to discover key strategies for boosting your trucking business's profitability. Watch this episode on YouTube & Subscribe! https://youtu.be/Vg6P65X3nNM Free Video Shoot From BulkLoads? https://links.bulkloads.com/widget/form/bfbbWKvA8xQZJKKYfc2Z   2025 Bulk Freight Conference   2025 BulkLoads Calendar Submission   Justin Brevik: https://www.linkedin.com/in/justin-brevik-00542449/   How can we pray for you? Email us: prayer@bulkloads.com Check out our companies!  BulkLoads - https://www.bulkloads.com/ Insurance - https://www.bulkinsurancegroup.com/ Factoring - https://www.smartfreightfunding.com/  Transportation Management (TMS) - https://www.bulktms.com/ Permitting- https://www.bulkloads.com/tools/permitting/   Timestamp 00:00 Excited about Justin Brevik's interview on maintenance software. 10:42 Efficient fleet management surpasses traditional whiteboard methods. 12:58 Detailed expense tracking facilitates better business decisions. 20:11 Bulk upload and manage vehicle warranty information. 22:30 Sign up for Bulk Loads for business improvements. 31:46 Software ease of use reduces onboarding anxiety. 33:38 Fleet deployment Tuesday, training complete by Wednesday. 40:31 Bulk upload campaigns to ensure timely repairs. 46:22 Maximize profits; manage costs for business growth. 48:48 Striving for excellence in customer service and software. 54:30 Schedule a half-day to create content, free. 59:53 Gratitude, support, and prayer for small businesses.

Downtime is a costly killer. But traditional predictive maintenance methods often fall short. Discover how multisensory AI is used to uplevel equipment maintenance. Multisensory AI uses sight, sound, and smell to accurately predict potential equipment failures, even with limited training data. This innovative approach can help businesses reduce downtime, improve efficiency, and save costs. In this podcast, we explore how to successfully implement multisensory AI into your existing infrastructure and unlock its full potential. Join us as we explore these ideas with: Rustom Kanga, Co-Founder and CEO, iOmniscient Christina Cardoza, Editorial Director, insight.tech Rustom answers our questions about Limitations to traditional predictive maintenance A multisensory and intuitive AI approach Training AI to emulate human intelligence Providing accurate and valuable results Investing in a multisensory AI approach How businesses leverage intuitive AI Partnerships and technologies behind success The future of multisensory and intuitive AI Related Content To learn more about multisensory AI, read Multisensory AI Revolutionizes Real-Time Analytics. For the latest innovations from iOmniscient, follow them on Twitter at @iOmniscient1 and LinkedIn.

Many companies today face increasing security challenges, yet few are leveraging the power of AI and robotics to protect their most critical assets. But what if these groundbreaking technologies could not only reduce costs but also provide a more efficient and secure future? In this episode, Alessandro Morra, CEO of Ascento, shares how AI-powered robotics are reshaping industries and why embracing this transformation is essential for future success.

The discussion with Todd Beckerdite, a Senior Manager of Maintenance Foundation at Ajinomoto Foods, focused on the integration of AI in maintenance and reliability. Richard Leurig highlighted the evolution of generative AI, emphasizing its seamless integration into workflows. Todd discussed the potential of AI in creating decision trees for maintenance, reducing downtime, and predictive maintenance. He also mentioned the importance of connecting older equipment to modern communication devices for data collection. The conversation also touched on the interplay of AI, IoT, and sustainability, and the need for accurate data gathering for regulatory reporting and energy efficiency. Action Items [ ] Investigate adopting AI technologies to help with maintenance tasks like decision trees for troubleshooting [ ] Continue conversations on how emerging AI capabilities can be integrated into day-to-day work without users knowing they interact with AI [ ] Evaluate ability to connect existing equipment sensors to gather more operational data for predictive maintenance Outline In the News: AI and Facilities Management Eric Cook introduces the episode and the guest, Todd Beckerdite, who is an expert in maintenance and operations. Richard Leurig discusses the evolution of generative AI (Gen AI) and its seamless integration into workflows. Richard inquires if AI will become so commonplace that users won't know they're interacting with it. Eric believes AI will become part of daily life, with future developments still to be seen. Challenges and Accuracy of AI in Maintenance Richard mentions issues with AI tools like ChatGPT and Google Bard, questioning how to ensure accuracy. Eric explains the evolution of AI models towards accuracy and the importance of getting information right in facilities management. Richard imagines AI tools helping with factory floor repairs, referencing Microsoft HoloLens. Eric agrees, noting AI's potential to summarize information from multiple sources and guide technicians. Todd Beckerdite on AI Adoption in Maintenance Richard introduces Todd Beckerdite and asks about AI adoption in maintenance and reliability. Todd Beckerdite mentions limited AI use in his company but expresses interest in AI for decision trees and troubleshooting. Todd discusses the potential for AI to reduce downtime by eliminating guesswork in maintenance. Todd also mentions VR in oil and gas and the military, suggesting AI could interface with VR for maintenance. Predictive Maintenance and IoT Integration Eric asks Todd about the interplay of AI, IoT, and other automation in predictive maintenance. Todd discusses the goal of true predictive maintenance and the current state of predictive technologies like SCADA, oil analysis, and vibration analysis. Todd emphasizes the need for AI to build its own upper and lower limits for alerts based on equipment performance. Todd highlights the importance of connecting older equipment to modern communication devices for data collection. Sustainability and Energy Efficiency in Manufacturing Richard and Todd discuss the integration of sustainability initiatives with predictive maintenance and energy usage. Todd explains Ajinomoto's initiatives to reduce energy footprint and waste, including recycling and optimizing utility bills. Todd inquires about the impact of equipment failures and replacements on sustainability. Todd mentions the company's efforts to recycle materials and reduce wastewater and food solids. Regulatory Reporting and Energy...

Was wäre, wenn du nie wieder in einer Schlange an der Kasse stehen müsstest? Wie verändern innovative IT-Lösungen unser Einkaufserlebnis?

Yaron Saghiv is Chief Marketing Officer at UVeye, the world's first fully automated suite of vehicle inspection systems. Takeaways: UVeye is revolutionizing the vehicle inspection process with their fully automated suite of AI-powered drive-through systems. Their technology can quickly detect external or mechanical flaws, damages, modifications, or foreign objects under and around a vehicle. The value proposition of UVeye's technology includes improved safety, cost savings through predictive maintenance, and enhanced customer experience. They are strategically partnering with industry leaders to scale their business and drive industry-wide adoption of automated vehicle inspection. Links: Show notes: http://brandonbartneck.com/futureofmobility/yaronsaghiv Edison Manufacturing Exchange: https://brandonbartneck.substack.com/publish/home https://www.uveye.com/ Bio: Yaron Saghiv, Chief Marketing Officer at UVeye, leads the company's global marketing efforts, positioning UVeye as a pioneer in automatic vehicle inspection systems using computer vision and machine learning. With over four years in this role, Yaron has successfully been part of partnerships with industry leaders like Volvo, GM, Toyota, and Hyundai. He brings extensive experience in both B2B and B2C startups, having co-founded Funzing, a social marketplace for local events, and led the experiences team at Culture Trip, a global travel and media platform. Additionally, Yaron is a member of the Columbia Business School CMO Executive Program and a recognized speaker on growth strategies and lead generation. His work at UVeye focuses on driving innovation and setting new industry standards through strategic marketing and growth initiatives. About UVeye: UVeye is the world's first fully automated suite of vehicle inspection systems. The company's AI-powered drive-thru systems can detect external or mechanical flaws and identify damages, modifications, or foreign objects under and around a vehicle within seconds. UVeye is installed at hundreds of dealerships, auction, and fleet sites across the United States and around the world. In May 2023, the company announced a $100M Series D, bringing its total funding to $200M. Amazon has recently announced a roll out of hundreds of inspection systems at their last mile delivery sites. UVeye is backed by, and partners with, some of the largest car manufacturers in America. Keywords automated vehicle inspection, AI, vision system, vehicle condition report, predictive maintenance, fleet management, insurance, data analytics Future of Mobility: The Future of Mobility podcast is focused on the development and implementation of safe, sustainable, effective, and accessible mobility solutions, with a spotlight on the people and technology advancing these fields. Edison Manufacturing and Engineering: Edison is your low volume contract manufacturing partner, focused on assembly of complex mobility and energy products that don't neatly fit within traditional high-volume production methods. linkedin.com/in/brandonbartneck/ brandonbartneck.com/futureofmobility/

Defect Elimination. It's more than just an element in the Work Execution Management Domain. It represents one of the goals of reliability … to improve the value of an organization. We sit and have a chat with Tim Rice, the author of “Defect Elimination: Left to Right, Right to Left” and discuss the concept of Defect Elimination, its benefits, challenges, and much more. A can't miss episode for those looking to make truly sustainable improvements.

This week, we're joined by our own Jeff Bonnell as he discusses the pivotal role of digital twins and AI in revolutionizing asset management. Together, we dive into how these innovations enable agile, resilient, and secure supply networks, enhancing predictive maintenance and operational efficiency, and understand the integration of digital twins in capturing data, monitoring asset health, and optimizing supply chain processes. Come join us as we discuss the Future of Supply Chain.

In this week's episode of Ameritocracy, host Troy Edgar spoke with Dr. John Zangardi, CEO of Redhorse. Dr. Zangardi is a U.S. Navy veteran and Washington DC technology leader who previously served as the Chief Information Officer (CIO) at both the Department of Defense and the Department of Homeland Security. He has also been a mentor to Troy, and they had previously co-authored an article on the federal government's use of the Technology Modernization Fund. The discussion centers on their shared experiences serving at the Department of Homeland Security and evaluation of the differences in organizational structure and the ease of implementing technology at DHS compared to the DOD. Dr. Zangardi and Edgar also explored the potential applications of artificial intelligence (AI) in government operations and maintenance. The conversation concludes with their thoughts on consolidating AI responsibilities within federal departments under the CIO to streamline implementation and avoid bureaucratic delays. Article referenced in this episode: "Adopting Generative AI: Pathways for Defense" - Business Executives for National Security Ameritocracy™ is produced by Prospect House Media and recorded in studio locations in Los Angeles and Washington D.C.

Send me a messageIn this episode of the Sustainable Supply Chain podcast, I had the pleasure of speaking with Lenny Marano, President of the Americas for Lectra, a leading technology solutions provider for industries working with flexible materials. We delved into Lectra's journey from its origins in CAD CAM to becoming an integrated solutions provider for apparel, furniture, automotive, and more.Lenny shed light on how Lectra's technology helps customers optimise their processes from planning through production. He highlighted the pivotal moments in the industry's shift from analogue to digital, explaining how innovations like AI-driven predictive maintenance and on-demand production reduce waste and improve efficiency.We also discussed the profound impact of sustainability on Lectra's offerings, from competitive benchmarking tools that prevent overproduction to material optimisation technologies that minimise waste. Lenny's insights into customer-centric innovation and the importance of managing the digital thread through the value stream were particularly enlightening.For those interested in how technology can drive both sustainability and profitability in supply chains, this episode is a must-listen.Elevate your brand with the ‘Sustainable Supply Chain' podcast, the voice of supply chain sustainability.Last year, this podcast's episodes were downloaded over 113,000 times by senior supply chain executives around the world.Become a sponsor. Lead the conversation.Contact me for sponsorship opportunities and turn downloads into dialogues.Act today. Influence the future.Support the Show.Podcast supportersI'd like to sincerely thank this podcast's generous supporters: Lorcan Sheehan Olivier Brusle Alicia Farag And remember you too can Support the Podcast - it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one.Podcast Sponsorship Opportunities:If you/your organisation is interested in sponsoring this podcast - I have several options available. Let's talk!FinallyIf you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on LinkedIn, or send me a text message using this link.If you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it. Thanks for listening.

Can predictive maintenance help your auto repair shop schedule more accurate repair appointments for customers? In this episode, Tim Hardin, senior vice president/GM global data services, Epicor, discusses the data that drives predictive maintenance and how it stacks up against the traditional 30/60/90K maintenance model in more accurate scheduled repairs to customers.

In this episode of the EUVC podcast, Andreas discusses with - Mikhail Taver, Founder and Managing Partner of Taver Capital II, with a target fund size of $20M.Taver Capital is a fund based on Delaware, US, focused on early-stage global AI startups from the industrial sector. They have already invested in companies like Earth AI, MSQRD (acquired by Facebook), ID R&D (acquired by Mitek), and Sayana (acquired by Headspace).In this conversation, Andreas discusses with Mikhail his experience in robotics and AI investing, the potential of AI in various industries, the challenges of communication between startups and corporations, the impact of regulation on technological progress, and the importance of education and networking in fundraising. They also touch on the topic of mentors and the need for founders to find their own path.Go to eu.vc for our core learnings and the full video interview

Today, host Saji Sebastian, the founder and principal advisor at FM Future Labs, talks with Manoj Parekh the managing director at OCS Group India, Kiran Rao the President at Peppermint Robotics, and Srikumar Narayan the founder and CEO of WINAIM Limited. Together they discuss the adoption of technology and digital applications in facilities management. They touch on how technology, such as IoT solutions and automation, enhances operational efficiency, resource planning, security, and tenant satisfaction. They also explore emerging trends like mobility, AR/VR, and AI in FM, while addressing the challenges of initial investment costs and the importance of making technology user-friendly to overcome resistance to change.  Connect with Us:LinkedIn: https://www.linkedin.com/company/ifmaFacebook: https://www.facebook.com/InternationalFacilityManagementAssociation/Twitter: https://twitter.com/IFMAInstagram: https://www.instagram.com/ifma_hq/YouTube: https://youtube.com/ifmaglobalVisit us at https://ifma.org

Send us a Text Message.Episode 323:  In this episode we discuss the need to change with the times in order to avoid being left behind. Things are certainly changing fast with technology in the trucking and parts industry and there are certain things that just don't work anymore. There are also ways of doing things that are better than before and that can save time and money.For example, with new and exciting AI solutions, fleets are now able to shift from being reactive about their maintenance, to being very proactive. Our guest this week is Alan McMillan, President of Intangles. Intangles uses physics-based AI to create a virtual twin of your commercial vehicle. This allows them to predict when each specific truck will break down so that it can proactively be repaired and avoid down time.Show Notes: Visit HeavyDutyPartsReport.com for complete show notes of this episode and to subscribe to all our content.Sponsors of this EpisodeHeavy Duty Consulting Corporation: Find out how many “fault codes” your heavy-duty parts business has. Meet with us today. Visit HeavyDutyConsulting.comHengst Filtration: There's a new premium filter option for fleets. If you're responsible for a fleet, you won't believe how much using Hengst filters will save you. But you've got to go to HeavyDutyPartsReport.com/Hengst to find out how much.Diesel Laptops: Diesel Laptops is so much more than just a provider of diagnostic tools. They're your shop efficiency solution company. Learn more about everything Diesel Laptops can do for you today by visiting DieselLaptops.com today.HDA Truck Pride: They're the heart of the independent parts and service channel. They have 750 parts stores and 450 service centers conveniently located across the US and Canada. Visit HeavyDutyPartsReport.com/HDATruckPride today to find a location near you.Disclaimer: This content and description may contain affiliate links, which means that if you click on one of the product links, The Heavy Duty Parts Report may receive a commission.  Sign up for our weekly email so you never miss out on an episode: Follow the Show

In this episode of AI, Government, and the Future, host Max Romanik is joined by Tony Samp, Principal Policy Advisor and Head of AI Policy at DLA Piper, to discuss the evolving landscape of AI policy in the US and its implications for national security. He shares insights into the formation of the Senate AI Caucus, key legislative actions proposed, and intended outcomes related to AI innovation and governance. Tony also explores the transformative impact of AI on defense capabilities, ethical considerations surrounding lethal autonomous weapons, and critical steps for proper AI governance over the next decade.

In this episode of "Your AI Injection," Deep Dhillon chats with Ryan Thompson from the CRB Group, an architecture, engineering, construction, and consulting company. The two discuss the current state of AI adoption in the life sciences and food and beverage manufacturing sectors, highlighting the challenges and opportunities. They delve into how AI can enhance productivity through predictive maintenance and defect detection, and the importance of integrating data across different systems. The conversation explores the potential of AI to transform manufacturing by improving efficiency, quality, and speed to market, envisioning a future where factories are self-optimizing.Learn more about Ryan: https://www.linkedin.com/in/ryan--thompson/and about CRB Group: https://www.linkedin.com/company/crbgrp/Learn more about AI for product and processes here: Product Management and Generative AI Powered Innovation with Adrian KleinUsing AI to Optimize & Innovate in ManufacturingHow to Spot Great AI Opportunities in Your Business

On today's show, we have a special presentation from the latest NFPA Quarterly Technology Conference. Our Quarterly Technology Conferences are done in collaboration with MSOE's Fluid Power Industrial Consortium. They feature presentations on market-ready fluid power technologies and allow for networking across the fluid power supply chain – as suppliers, manufacturers, and OEMs come together for mutual benefit.  Our March 7, 2024 event was focused on Fluid Power technologies that are helping to drive industrial machines towards Predictive and Preventative Maintenance. Two of our presenters were Kris Mikulan and Connor Dudas, both from Schroeder Industries. What follows is a recording of the presentation they gave at this March Quarterly Technology Conference.  If you want to follow along with their slides, we've put links in the show notes that will allow you to watch the presentation recording here. The presentation was titled “Predictive Maintenance & Condition Monitoring.” Connect with the host, Eric Lanke, at elanke@nfpa.com or on LinkedIn at the National Fluid Power Assocation.

In this enlightening episode of the Sustainable Supply Chain Podcast, I had the pleasure of sitting down with Bryan Merckling, CEO of Thinaer, an innovative company at the crossroads of AI and IoT. Bryan shared invaluable insights into how Thinaer is revolutionising the manufacturing sector by harnessing the power of digital transformation to enhance operational efficiency, improve data accuracy, and drive sustainability.We delved into the fascinating world of AIOT, exploring the pivotal role of new data classes in eliminating digital blind spots and enabling smarter decision-making. Bryan illustrated how Thinaer's technology empowers manufacturers to optimise yield, profitability, and compliance by providing a holistic view of operations, from machinery health to asset tracking.A highlight of our conversation was the discussion on sustainable technologies, including the advent of energy-efficient and battery-less sensors, which not only promise to minimise environmental impact but also pave the way for the internet of everything.Bryan's journey from founding Thinaer to addressing the complex challenges of modern manufacturing offers a compelling narrative on the importance of innovation in achieving a sustainable future.For those keen on understanding the confluence of technology and sustainability in supply chains, this episode is a must-listen. Join us as we navigate through the intricacies of creating a more efficient and environmentally friendly manufacturing landscape.For further information on Thinaer and their pioneering work, visit their website at Thinaer.io.See also the video version of this episode at https://youtu.be/qJs7KU3lC7o#SustainableSupplyChain #AIOT #DigitalTransformation #ManufacturingInnovation #ThinaerElevate your brand with the ‘Sustainable Supply Chain' podcast, the voice of supply chain sustainability.Last year, this podcast's episodes were downloaded over 113,000 times by senior supply chain executives around the world.Become a sponsor. Lead the conversation.Contact me for sponsorship opportunities and turn downloads into dialogues.Act today. Influence the future.Support the showPodcast supportersI'd like to sincerely thank this podcast's generous supporters: Lorcan Sheehan Krishna Kumar Olivier Brusle Alicia Farag Luis Olavarria Alvaro Aguilar And remember you too can Support the Podcast - it is really easy and hugely important as it will enable me to continue to create more excellent Digital Supply Chain episodes like this one.Podcast Sponsorship Opportunities:If you/your organisation is interested in sponsoring this podcast - I have several options available. Let's talk!FinallyIf you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on Twitter/LinkedIn. If you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it. Thanks for listening.

Welcome to this episode of 'Facts Not Feelings,' where host Brooke Furniss dives into the rapidly evolving automotive industry with Christopher "Hawaii" Dasconio, Regional VP of Sales at Stream. Join us as we explore the latest strategies for dealerships to stay competitive, the rise of digital retailing, the impact of consumer behavior, and the power of digital body language. We'll also delve into the importance of brand perception, public relations, and how dealerships can adapt their marketing and service strategies in this digital age. Don't miss these valuable insights and expert opinions on shaping a successful future in the automotive world.3 Main Takeaways 1.) Embracing Digital Transformation: Explore how dealerships are navigating the shift to digital, from online retail strategies to adapting to the evolving digital landscape. Discover the critical role of digital platforms in maintaining competitiveness and relevance in today's automotive industry.2.) Understanding Consumer Behavior: Dive into the changing dynamics of consumer behavior in the automotive sector. Learn how leveraging data analytics and personalized marketing can create impactful campaigns, enhance the customer experience, and foster brand loyalty.3.) Forecasting Dealership Evolution: Gain insights into the future of car dealerships amidst technological advancements and changing consumer preferences. Discuss the rise of electric vehicles, the importance of brand image, and strategies for dealerships to stay ahead in a rapidly evolving market.Connect

I recently had the pleasure of engaging in a fascinating conversation with Bjorn Stemmermann, the Managing Director of SECO, and Maurice Robinson the Retail Sales and Marketing Manager for TEKO Refrigeration. Our discussion centered around the newly developed FridgiWise plug-in cabinet technology. This innovative advancement is poised to revolutionize the way both end-users and contractors perceive and manage plug-in cabinet energy performance and maintenance, especially during high-demand peak seasons. The heart of our conversation revolved around this groundbreaking technology, designed to address two crucial aspects of the refrigeration industry: energy efficiency and reliability. Fridgewise represents a leap forward in achieving these goals, making it a game-changer for the industry. Energy Performance Optimization: With sustainability at the forefront of today's business practices, FridgiWise takes a giant stride in enhancing energy efficiency. This plug-in cabinet technology provides end-users with invaluable insights into the energy consumption patterns of their refrigeration systems. By having a better understanding of energy usage, businesses can make informed decisions to optimize their energy consumption, reduce costs, and minimize their environmental footprint. Preventative Maintenance: Perhaps equally significant is FridgiWise's ability to predict and prevent breakdowns during high-demand peak seasons. Stemmermann and the TEKO team emphasized the importance of minimizing downtime and service disruptions, especially when businesses rely heavily on refrigeration systems. The technology employs advanced monitoring and predictive maintenance algorithms to identify potential issues before they escalate into costly breakdowns. This proactive approach not only saves money but also ensures a seamless operation during critical times. Stemmermann provided an in-depth overview of the technology's features and benefits. He emphasized that FridgiWise is not just about data collection but actionable insights. Through real-time monitoring and comprehensive reporting, end-users and contractors can gain a comprehensive view of their refrigeration systems' health. This information empowers them to make data-driven decisions, plan maintenance schedules effectively, and allocate resources efficiently. Our conversation underscored the industry's ongoing commitment to innovation and sustainability. FridgiWise plug-in cabinet technology, development by SECO and distributed by TEKO Refrigeration, exemplifies this commitment by offering a holistic solution to energy performance and maintenance challenges. In conclusion, my discussion with Bjorn Stemmermann, the Managing Director of SECO, and Maurice Sales and Marketing Manager for TEKO Refrigeration, was both enlightening and inspiring. The FridgiWise plug-in cabinet technology they introduced promises to reshape the way things are done, setting new standards for energy efficiency and reliability. As businesses strive to become more sustainable and resilient, technologies like FridgiWise emerge as indispensable tools for achieving these goals. Stay tuned for more updates on this groundbreaking innovation as it continues to gain momentum in the market. Learn More about FridgiWise - Access Here Connect with Bjorn on LinkedIn - https://www.linkedin.com/in/bj%C3%B6rn-stemmermann-8b995b162/ Connect with Maurice on LinkedIn - https://www.linkedin.com/in/maurice-robinson-030a2289/ ================================== Let's Connect on Instagram - https://www.instagram.com/refrigerationmentor/ Upcoming Servicing Compressors, Supermarket and CO2 Trainings - Learn More Here Learn More About Refrigeration Mentor - https://refrigerationmentor.com/ Get A Free Service & Compressor Troubleshooting Guide - Access Here

Listen in as Charlie Webb CPPL speaks with Malinda Elammari Clinical Education Specialist at Healthmark Industries. Today's discussion speaks to the different packaging workflows of medical device manufacturers versus hospitals and clinics. During this discussion, Charlie and Malinda cover the topic of the critical importance of preventative and predictive maintenance.Guest  Description:Malinda Elammari, CST, CSPM, CSPDT, CFER, CSIS, CRCST, CIS, CHL, CER, CLSSGBMalinda Elammari is a Clinical Education Specialist for Healthmark Industries. She began her career in the medical field as a Certified Surgical Technologist specializing in Open-Heart surgery. Throughout her career, Malinda has served in a variety of positions within SPD, such as Interim Director of Education and Quality, Sterile Processing Educator and Quality Control Manager, Clinical Operations Manager, OR Liaison, and an Endoscopic Service Rep. In addition, Malinda was the lead instructor for the Central Sterile program at Durham Technical Community College. She holds several certifications in sterile processing through CBSPD and HSPA. Malinda is a TeamSTEPPS Master trainer and is certified as a Lean Six Sigma Green Belt. She is an active member of AAMI and sits on multiple national standard writing committees. Malinda sits on the Editorial Board for AAMI Publications and is a project manager for KiiP's Aseptic Presentation subgroup. She is a graduate of Duke's Innovation & Entrepreneurship program and Duke's Technical Excellence Program. She currently serves as president for the North Carolina HSPA chapter.Contact: melammari@hmark.com

In this episode, we dive into the world of predictive maintenance technology and its game-changing impact on transportation and logistics. Jim Rice, President of Uptake, joins us to explore how this innovative technology helps transportation companies stay ahead of vehicle failures, minimize delays, and keep both drivers and customers satisfied. For more information subscribe to Running on Ice the newsletter or podcast. Follow the Running on Ice Podcast Other FreightWaves Shows Learn more about your ad choices. Visit megaphone.fm/adchoices

Hey folks, in the latest episode of the Digital Supply Chain podcast I sat down with Maurice Liddell, a principal at BDO Digital, and we went deep into the future of safety in industrial settings. Trust me, it's a conversation you don't want to miss.Are you wondering how AI and wearable tech are revolutionising safety measures? Maurice lays it all out for us. Imagine a world where dynamically deployed safety nets catch workers who slip near vats of molten metal. Yes, that's right! With AI, this kind of instant response isn't just possible; it's the future.But wait, there's more! We also talk about the game-changing role of large language models like ChatGPT. Picture this: workers from diverse linguistic backgrounds can interact with their machines in their native language. Maurice and I delve into how this is making workplaces more inclusive and just downright comfortable.Now, we also tackle a serious note—bias in AI models. Maurice sheds light on the importance of feeding diverse data into these models, especially when they're used in hiring processes. If you've ever questioned the ethics of AI, this is a must-listen segment.We wrap things up by busting a common myth: that safety and profits are at odds. Maurice makes an excellent point—safe workers help maximise profits. So, businesses, take note; investing in advanced safety tech has an ROI that goes beyond the balance sheet, enhancing your reputation and employee retention.Don't forget to check out the links to BDO Digital's treasure trove of resources (BDO Manufacturing and BDO Digital), where you can dig deeper into these topics. Maurice and I can't wait for you to hear this episode and join in on this essential conversation.Tune in, and let's make the future of industrial safety brighter, smarter, and, of course, safer together!AI & Aliens Unveiled • The WordThe Word pulls the veil on AI and AliensListen on: Apple Podcasts SpotifySupport the showPodcast supportersI'd like to sincerely thank this podcast's generous supporters: Lorcan Sheehan Krishna Kumar Christophe Kottelat Olivier Brusle Robert Conway Alexandra Katopodis Alicia Farag Joël VANDI Luis Olavarria And remember you too can Support the Podcast - it is really easy and hugely important as it will enable me to continue to create more excellent Digital Supply Chain episodes like this one.Podcast Sponsorship Opportunities:If you/your organisation is interested in sponsoring this podcast - I have several options available. Let's talk!FinallyIf you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on Twitter/LinkedIn. If you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it. Thanks for listening.

(0:50) - Exploring new methods for increasing safety and reliability of autonomous vehicles

We asked ChatGPT: “Good morning! Please tell me about the future of Manufacturing and AI.” ChatGPT response: Good morning! The future of manufacturing is closely intertwined with the advancement of artificial intelligence (AI). AI is revolutionizing the manufacturing industry by enabling automation, optimizing production processes, improving quality control, and enhancing overall operational efficiency. Some key aspects: Smart Manufacturing. Industrial Automation. Predictive Maintenance. Quality Control. Defect Detection. Supply Chain Optimization. Customization. Personalization. Workforce Augmentation. Enhanced Safety. We asked ChatGPT: “Please send me movie quotes related to Manufacturing.” ChatGPT response: – “We are not machines, we are men!” [Modern Times, 1936] – “The stuff that dreams are made of.” [The Maltese Falcon, 1941] – “Your scientists were so preoccupied with whether or not they could, they didn't stop to think if they should.” [Jurassic Park, 1993] We'll ask Philipp Schume, Danny Smith, Srinivas Nidamarthi, Jorge Lozano and Josh Leath for their take on The Future of Manufacturing and AI: You Want It When?

We asked ChatGPT: “Good morning! Please tell me about the future of Manufacturing and AI.” ChatGPT response: Good morning! The future of manufacturing is closely intertwined with the advancement of artificial intelligence (AI). AI is revolutionizing the manufacturing industry by enabling automation, optimizing production processes, improving quality control, and enhancing overall operational efficiency. Some key aspects: Smart Manufacturing. Industrial Automation. Predictive Maintenance. Quality Control. Defect Detection. Supply Chain Optimization. Customization. Personalization. Workforce Augmentation. Enhanced Safety. We asked ChatGPT: “Please send me movie quotes related to Manufacturing.” ChatGPT response: – “We are not machines, we are men!” [Modern Times, 1936] – “The stuff that dreams are made of.” [The Maltese Falcon, 1941] – “Your scientists were so preoccupied with whether or not they could, they didn't stop to think if they should.” [Jurassic Park, 1993] We'll ask Philipp Schume, Danny Smith, Srinivas Nidamarthi, Jorge Lozano and Josh Leath for their take on The Future of Manufacturing and AI: You Want It When?

We asked ChatGPT: “Good morning! Please tell me about the future of Manufacturing and AI.” ChatGPT response: Good morning! The future of manufacturing is closely intertwined with the advancement of artificial intelligence (AI). AI is revolutionizing the manufacturing industry by enabling automation, optimizing production processes, improving quality control, and enhancing overall operational efficiency. Some key aspects: Smart Manufacturing. Industrial Automation. Predictive Maintenance. Quality Control. Defect Detection. Supply Chain Optimization. Customization. Personalization. Workforce Augmentation. Enhanced Safety. We asked ChatGPT: “Please send me movie quotes related to Manufacturing.” ChatGPT response: – “We are not machines, we are men!” [Modern Times, 1936] – “The stuff that dreams are made of.” [The Maltese Falcon, 1941] – “Your scientists were so preoccupied with whether or not they could, they didn't stop to think if they should.” [Jurassic Park, 1993] We'll ask Philipp Schume, Danny Smith, Srinivas Nidamarthi, Jorge Lozano and Josh Leath for their take on The Future of Manufacturing and AI: You Want It When?