Podcasts about low code

En 5 minutes chrono, découvrez comment Airtable, Bubble, Glide, Zapier, ou Power Apps permettent à des équipes marketing, finance ou RH de lancer un prototype d'application en un week-end, sans ligne de code. Avantages, limites, coûts et cas concrets pour tout comprendre.Sources citées & liens :1. Stack Overflow Dev Survey 2024 – Pénurie de développeurs (+ 20 % postes non pourvus)https://insights.stackoverflow.com/survey/20242. Airtable – Templates & cas d'usage, formulaires , bases rela­tionnelleshttps://airtable.com/templates3. Bubble – Templates no-code, marketplace, exemples d'appshttps://bubble.io/templates4. Glide – Créez une appli mobile à partir de Google Sheethttps://glideapps.com5. Zapier – Automatisations entre plus de 5 000 appshttps://zapier.com6. Make (ex-Integromat) – Automatisation avancée en low-codehttps://www.make.com7. Microsoft Power Apps – Low-code pour entreprise, connecteurs natifshttps://docs.microsoft.com/powerapps8. OutSystems Customers – Témoignages d'entreprises (ERP, CRM)https://www.outsystems.com/customers/9. Forrester 2023 – “The Total Economic Impact of Low-Code Platforms” – + 80 % rapiditéhttps://go.forrester.com/blogs/low-code-platforms-2023/10. Stack Overflow Talent – « Tech Talent Shortage » 2024https://insights.stackoverflow.com/talent11. McKinsey 2022 – “No-Code/Low-Code: The Rise of Citizen Developers”https://www.mckinsey.com/industries/technology/our-insights/citizen-developers-no-code-low-code----------------------------------DSI et des Hommes est un podcast animé par Nicolas BARD, qui explore comment le numérique peut être mis au service des humains, et pas l'inverse. Avec pour mission de rendre le numérique accessible à tous, chaque épisode plonge dans les expériences de leaders, d'entrepreneurs, et d'experts pour comprendre comment la transformation digitale impacte nos façons de diriger, collaborer, et évoluer. Abonnez-vous pour découvrir des discussions inspirantes et des conseils pratiques pour naviguer dans un monde toujours plus digital.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

In dieser Podcast-Folge spreche ich mit Florian Meurs, Geschäftsführer der Berlin Direkt Versicherung, über parametrische Versicherungen. Florian gibt spannende Einblicke in die Entwicklung und Implementierung dieser innovativen Produkte, insbesondere im hart umkämpften Reisemarkt. Wir tauchen tief in die Besonderheiten parametrischer Versicherungen ein, im Vergleich zu klassischen Modellen. Dabei erfahren wir, wie Berlin Direkt ein parametrisches Produkt für Flug- und Gepäckverspätungen auf den Markt gebracht hat und welche Herausforderungen damit verbunden waren. Hier fünf Highlights der Folge: Parametrische Versicherungen im Reisemarkt: Wir diskutieren, wie parametrische Versicherungen den "Schmerzpunkt" von Flug- und Gepäckverspätungen adressieren, indem sie sofort eine Auszahlung leisten, anstatt den tatsächlichen Schaden zu bewerten. Das unterscheidet sie deutlich von klassischen Versicherungen. Die Rolle der virtuellen Kreditkarte: Florian erklärt, wie die Idee für das parametrische Produkt aus einem Podcast über virtuelle Kreditkarten entstand und wie sie die sofortige Auszahlung ermöglichen. Wir beleuchten, warum die initiale Idee, eine virtuelle Kreditkarte zu integrieren, kurz vor dem Launch scheiterte und wie sie auf Paypal als Alternative umgestiegen sind. Erfolgreicher A/B-Test: Florian präsentiert die Ergebnisse eines A/B-Tests, der zeigte, dass die Option der sofortigen Auszahlung die Conversion Rate deutlich verbessert und mehr Kunden zum Abschluss einer Reiseversicherung bewogen hat. Sogar der Abschluss eines teureren Versicherungspakets wurde erhöht. Die "sofortige" Auszahlung war im Vergleich zum traditionellen Verfahren ein wesentlicher Faktor. Technische und regulatorische Herausforderungen: Ich erfahre von den technischen und regulatorischen Hürden bei der Implementierung des parametrischen Produkts, insbesondere der Zusammenarbeit mit einem technischen Anbieter aus dem Ausland und der notwendigen Anpassung an deutsches Recht. Der Prozess erforderte viel Neuentwicklung und ein hohes Maß an Sorgfalt in Bezug auf Compliance. Zukunft parametrischer Versicherungen: Wir diskutieren das Potenzial parametrischer Versicherungen und welche weiteren Anwendungsbereiche denkbar sind, z.B. die Erweiterung auf Jahresversicherungen oder die Integration in andere Produkte. Die Herausforderungen von Skalierbarkeit und die Definition von "sofort" werden ebenfalls thematisiert. Links in dieser Ausgabe Zur Homepage von Jonas Piela Zum LinkedIn-Profil von Jonas Piela Zum LinkedIn-Profil von Florian Meurs Die Liferay Digital Experience Platform Kunden erwarten digitale Services für die Kommunikation, Schadensmeldung und -abwicklung. Liferays Digital Experience Platform bietet Out-of-the-Box-Funktionen wie Low-Code, höchste Sicherheit & Zuverlässigkeit. Jetzt Kontakt aufnehmen.

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In dieser Podcast-Episode spreche ich mit Sascha Quillet, dem neuen Vorstand für Digitalisierung und Technik der Haftpflichtkasse. Wir tauchen tief in die Modernisierung der IT-Landschaft eines traditionsreichen Versicherers ein. Sascha erzählt von seinem Team und den spannenden Herausforderungen, die sie meistern. 5 Highlights aus dem Gespräch: Die Haftpflichtkasse im Wandel: Sascha beschreibt die Haftpflichtkasse als traditionsreichen Versicherer, der sich in den letzten Jahren etwas auf seinen Lorbeeren ausgeruht hat. Jetzt steht die Modernisierung der IT ganz oben auf der Agenda – mit dem Ziel, wieder der digitalste Versicherer Deutschlands zu werden. Ein ehrgeiziges Ziel, das mit vielen Herausforderungen, aber auch großen Chancen verbunden ist. Technik – mehr als nur Software: Sascha zeigt, wie umfassend der Technik-Begriff bei ihm verstanden wird: von der Zugangskontrolle über die Gebäudeautomation bis hin zu KI-Lösungen. Er skizziert einen spannenden Weg von traditionellen Telefonen hin zu modernen, cloudbasierten Lösungen. Die KI-Realität: Wir diskutieren die überzogenen Erwartungen an KI vor ein paar Jahren, insbesondere nach dem Aufkommen von ChatGPT. Sascha betont die Notwendigkeit, KI-Systeme zu trainieren und zu optimieren, und sie nicht als Allheilmittel zu betrachten. Er betont den Wert menschlicher Expertise im Zusammenspiel mit KI-Lösungen. Die Zukunft der Haftpflichtkasse IT: Sascha beschreibt seine Vision einer serviceorientierten IT, die eng mit den Bedürfnissen der Mitarbeiter verzahnt ist. Cloud-Lösungen spielen eine zentrale Rolle, aber er betont die Notwendigkeit eines hybriden Ansatzes, um alle Mitarbeiter in den Prozess einzubeziehen. Die Mischung aus Cloud und lokaler Infrastruktur ist der richtige Weg. Kernsystem-Austausch: Sascha erklärt den komplexen Prozess des Austauschs des Kernsystems, ein riesiges Projekt mit vielen Herausforderungen, welches einen Generalunternehmer für die Implementierung der Softwarelösung vorsieht. Er spricht über Make-or-Buy-Entscheidungen und die Balance zwischen Standard-Software und individuellen Anpassungen. Hier ist ein gutes Projektmanagement und die enge Zusammenarbeit mit den Fachabteilungen zentral. Links in dieser Ausgabe Zur Homepage von Jonas Piela Zum LinkedIn-Profil von Jonas Piela Zum LinkedIn-Profil von Sascha Quillet Die Liferay Digital Experience Platform Kunden erwarten digitale Services für die Kommunikation, Schadensmeldung und -abwicklung. Liferays Digital Experience Platform bietet Out-of-the-Box-Funktionen wie Low-Code, höchste Sicherheit & Zuverlässigkeit. Jetzt Kontakt aufnehmen.

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Katherine is the founder of K.tab Creative, a branding and web design studio that helps small businesses and startups build strategic online presences. Her winding path to entrepreneurship includes a first career as a furniture buyer, several years in influencer and digital marketing (with a six-year side hustle as a fashion blogger), and nearly five years as a full-stack software engineer. Today, she blends her creative and technical background to craft thoughtful brand identities and custom websites that are as intuitive as they are impactful. When she's not at her laptop, Katherine enjoys working on her photography skills, trying out new restaurants and planning her next international travel destination. website: https://www.ktabcreative.com/ linkedin: https://www.linkedin.com/in/katherinetabinowski/  Ramblings of a Designer podcast is a monthly design news and discussion podcast hosted by Laszlo Lazuer and Terri Rodriguez-Hong (@flaxenink, insta: flaxenink.design) (insta: @happiscribble. LinkedIn Page: https://www.linkedin.com/company/ramblings-of-a-designer/ Facebook: https://www.facebook.com/Ramblings-of-a-Designer-Podcast-2347296798835079/ Send us feedback! ramblingsofadesignerpod@gmail.com Support us on Patreon! patreon.com/ramblingsofadesigner

In dieser Podcast-Episode spreche ich mit Gisa Kimmerle, die bei Hiscox den Bereich Cyber in Deutschland und Österreich leitet. Wir tauchen tief in die Welt der Cyberversicherungen ein, ein Gebiet, das für viele Versicherer eine echte Herausforderung darstellt. Gisa erklärt, wie Hiscox mit Cyberrisiken umgeht und wie Versicherer in diesem dynamischen Markt erfolgreich sein können. Fünf Highlights der Episode: Was ist Cyberversicherung? Gisa erklärt klar und prägnant, was Cyberversicherungen abdecken: Eigenschäden (z.B. Kosten für Betriebsunterbrechung, Forensik), Drittschäden (z.B. Datenrechtsverletzungen, Haftungsansprüche) und Assistance-Leistungen (sofortige Hilfe im Notfall, Prävention). Wir beleuchten die Komplexität dieses Bereichs und den Unterschied zu traditionellen Versicherungsarten. Phishing-Mails erkennen: Ich befrage Gisa zu konkreten Beispielen. Wir besprechen typische Phishing-Mails und drei entscheidende Punkte, um sie zu erkennen: den Absender genau prüfen (Tippfehler!), Links überprüfen (wohin führen sie?) und kritisch hinterfragen, ob die E-Mail überhaupt Sinn ergibt. Gisa betont, dass die zeitliche Dringlichkeit oft ein Alarmsignal ist. Wir diskutieren auch den komplexeren Fall des Zahlungsmittelumleitungsbetrugs. Assistance-Leistungen im Schadensfall: Gisa beschreibt die umfassende Assistance von Hiscox. Im Ernstfall springt Hiscox nicht erst nach dem Schaden ein, sondern fungiert als sofortige Hilfe. IT-Experten unterstützen Unternehmen direkt, analysieren den Vorfall, leiten Gegenmaßnahmen ein und helfen bei der Schadensbehebung. Dies ist besonders für kleine und mittlere Unternehmen (KMU) wertvoll, da diese oft nicht über die nötige interne Expertise verfügen. Risikobewertung bei Cyberversicherungen: Die Bewertung von Cyberrisiken ist viel komplexer als bei traditionellen Versicherungsarten. Gisa erklärt, wie Hiscox die Risiken einschätzt: interne Schadensdaten, Branchenanalysen, und externe Daten aus dem jährlich erscheinenden Cyber Readiness Report. Dieser Report bietet wertvolle Einblicke in die Cyberrisiken von Unternehmen, auch solchen, die nicht Kunde bei Hiscox sind. Der Nachhaltigkeitsaspekt wird ebenfalls betont – Cyberversicherungen müssen langfristig funktionieren. Die Herausforderungen des Cyberversicherungsmarktes: Gisa erläutert, warum der Markt noch nicht so weit entwickelt ist. Die ständige Entwicklung neuer Angriffsmethoden und Technologien (z.B. KI, Quantencomputing) macht die Risikobewertung und -kalkulation extrem herausfordernd. Es ist ein dynamischer Wettlauf zwischen Angreifern und Verteidigern. Gisa vergleicht die Situation mit einem Krieg und betont die Notwendigkeit eines nachhaltigen und langfristigen Ansatzes. Links in dieser Ausgabe Zur Homepage von Jonas Piela Zum LinkedIn-Profil von Jonas Piela Zum LinkedIn-Profil von Gisa Kimmerle Die Liferay Digital Experience Platform Kunden erwarten digitale Services für die Kommunikation, Schadensmeldung und -abwicklung. Liferays Digital Experience Platform bietet Out-of-the-Box-Funktionen wie Low-Code, höchste Sicherheit & Zuverlässigkeit. Jetzt Kontakt aufnehmen.

In dieser Podcast-Folge gebe ich zusammen mit meinem Kollegen, dem Head of AI & Automation, Thomas Fröhlich, ein Update zu den neuesten Entwicklungen im Bereich KI und Automatisierung. Wir sprechen über coole neue Features, die uns die Arbeit erleichtern, und über unsere Eindrücke von der InsureNXT 2025. Hier sind 5 Highlights aus unserer Unterhaltung: PDF-Formatierung & Zusammenfassung: Ich berichte von der neuen Möglichkeit, PDFs nicht nur zu erstellen, sondern auch zu formatieren und lange Berichte automatisch zusammenzufassen lassen – sowohl mit Groq AI als auch ChatGPT (inklusive Grafiken!). YouTube-Transkribierung mit Gemini: Gemini (kostenpflichtige Version) transkribiert jetzt Youtube-Videos superschnell. Das funktioniert zwar nicht immer fehlerfrei, aber es spart mir trotzdem enorm Zeit und zusätzliche Tools. Wir diskutieren, warum das so schnell geht (Youtube-Untertitel) und vergleichen es mit Drittanbietern. Custom GPTs (Gems in Gemini): Ich erkläre das Konzept der "Custom GPTs", wo man eigene, wiederverwendbare Prompts erstellt, um sich wiederholende Aufgaben zu automatisieren. Gemini bietet diese Funktion kostenlos als "Gems" an. Wir skizzieren, was "Gems" im Kontext von System Prompts und dem Gesamt-Prompt bedeuten. Diese Erklärung wird in einer späteren Folge vertieft. InsureNXT 2025: Wir teilen unsere Eindrücke von der InsureNXT 2025. KI und Automatisierung waren omnipräsent! Wir diskutieren die dort vorgestellten Themen: Strategien, Use Cases (Kundenservice, Schadenmanagement), die Herausforderung der Implementierung von KI in Unternehmen, und die oft fehlende "Hands-on"-Mentalität in den Präsentationen. Wir sprechen darüber, dass KI-Modelle letztendlich immer noch Software sind, die sorgfältig in die Organisationsstrukturen integriert werden müssen. System Prompts: Wir tauchen tief in das Thema "System Prompts" ein – die Anweisungen, die ein KI-Modell steuern und seine Persönlichkeit, sein Verhalten und seine Fähigkeiten definieren. Wir analysieren, warum sie so wichtig sind (Explainable AI, Nachvollziehbarkeit, Risikomanagement, Jailbreak Resistance), und was der Leak des Cloud-System Prompts bedeutet. Ich teile, was man aus der Analyse des geleakten Cloud-System Prompts lernen kann (z.B. Länge der Instruktionen, Umgang mit Wissen, etc.). Wir stellen fest, wie wichtig gute Prompt Engineers und Product Owner in Zukunft werden. Links in dieser Ausgabe Zur Homepage von Jonas Piela Zum LinkedIn-Profil von Jonas Piela Zum LinkedIn-Profil von Thomas Fröhlich Die Liferay Digital Experience Platform Kunden erwarten digitale Services für die Kommunikation, Schadensmeldung und -abwicklung. Liferays Digital Experience Platform bietet Out-of-the-Box-Funktionen wie Low-Code, höchste Sicherheit & Zuverlässigkeit. Jetzt Kontakt aufnehmen.

In dieser Folge hatten wir das zweite Mal das Vergnügen, mit Frank Böhmer zu sprechen. Frank ist Gründer und CEO von Ninox - einer in Berlin ansässigen Low-Code Plattform.Ninox war früh einer der ersten Player in der Low-Code Welt und hat diese seither mitgeprägt. In dieser Folge erzählt Frank, für wen Ninox welche Probleme lösen kann und wo sie sich im heutigen Low-Code Space sehen. Es geht um Make or Buy Entscheidungen und um die Rolle von KI bei Ninox./// Links zur FolgeNinox: https://www.visualmakers.de/tool/ninoxFrank auf LinkedIn: https://www.linkedin.com/in/frank-boehmer/Jobs bei Ninox: https://ninox.com/de/karriereNinox Fundamentals: https://www.visualmakers.de/fundamentals/ninox-fundamentals/// Gefällt dir unser VisualMakers Content? Werde selbst zum VisualMaker mit einem unserer vielen kostenlosen Kurse. Starte jetzt durch und werde No-Code Profi: https://go.visualmakers.de/fundamentals/// Werde Teil der größten deutschsprachigen No-Code CommunitySlack: https://go.visualmakers.de/slack-community/// Folge uns aufLinkedIn:https://go.visualmakers.de/linkedinYouTube: https://go.visualmakers.de/youtubeInstagram: https://go.visualmakers.de/instagramTikTok: https://go.visualmakers.de/tiktok

In dieser Podcast-Episode spreche ich mit Simon Röwer, Vorstand der Gothaer Vertriebsservice AG und Leiter Maklervertrieb Unternehmerkunden Komposit bei der Barmenia Gothaer. Wir tauchen tief in die spannende Entwicklung des Maklermarktes ein, der sich gerade stark konsolidiert. Große Gruppen entstehen, Assekuradeure knabbern an Marktanteilen – ein echter Wandel! Hier sind fünf Highlights unserer Unterhaltung: Der rasante Anstieg von Maklerübernahmen: Die Anzahl der Transaktionen im Maklermarkt hat in den letzten Jahren explosionsartig zugenommen. Von ca. 10-11 Übernahmen pro Jahr vor einigen Jahren auf über 120 im Jahr 2024! Demographischer Wandel, regulatorische Anforderungen und Digitalisierung sind die Haupttreiber. Der Einfluss der Konsolidierung auf Versicherer: Die wachsende Größe der Maklergruppen führt zu einer erhöhten Verhandlungsmacht. Für uns Versicherer bedeutet das zwar neue Herausforderungen in der Betreuung und Koordination, aber nicht unbedingt weniger Arbeit. Die Professionalität des Partners ist wichtiger als seine Größe. Professionelles Arbeiten im Maklergeschäft: Ich und Simon Röwer definieren "professionell" als tiefgehendes Branchenwissen, Verlässlichkeit und die Fähigkeit, komplexe Risiken gemeinsam mit dem Kunden und Versicherer zu entwickeln. Das ist insbesondere bei Industrie-Kunden wichtig. Die Rolle von Assekuradeuren: Assekuradeure spielen eine immer wichtigere Rolle, sowohl im Spezial- als auch im Standardgeschäft. Sie helfen Maklergruppen, Komplexität zu reduzieren und ermöglichen Skaleneffekte. Wir als Versicherer müssen die Zusammenarbeit mit Assekuradeuren genau steuern und kontrollieren, um unsere eigenen Interessen zu wahren. Die Zukunft des Versicherungsmarktes: Die Konsolidierung birgt Risiken, aber auch Chancen. Simon Röwer betont die unverzichtbare Kompetenz von Versicherern, Risiken richtig zu bewerten und zu tragen. Diese Kernkompetenz ist nicht einfach zu kopieren. Wir Versicherer müssen unsere Steuerungs- und Kooperationsfähigkeit verbessern, um in diesem sich verändernden Markt erfolgreich zu bleiben. Links in dieser Ausgabe Zur Homepage von Jonas Piela Zum LinkedIn-Profil von Jonas Piela Zum LinkedIn-Profil von Simon Röwer Die Liferay Digital Experience Platform Kunden erwarten digitale Services für die Kommunikation, Schadensmeldung und -abwicklung. Liferays Digital Experience Platform bietet Out-of-the-Box-Funktionen wie Low-Code, höchste Sicherheit & Zuverlässigkeit. Jetzt Kontakt aufnehmen.

The Future Of Biotech IT: AI, Cybersecurity & Low-Code Platforms | Steve Eichorn #biotech #aiinbiotech #cybersecurityHow is AI transforming the future of biotech today, not just in labs but in IT departments too? Please visit our website to get more information: https://swangroup.net/In this episode, I sit down with Steve Eichorn, CIO of Cytiva, to explore how artificial intelligence, cybersecurity, and low-code platforms are reshaping biotech from the inside out. Specifically, this episode highlights the following themes:✅ How AI is improving biotech operations and clinical processes✅ The growing importance of cybersecurity in an AI-driven world✅ Why low-code development is shaping the future of IT and business collaborationSteve shares his unique journey from finance to leading global IT and explains how AI is accelerating drug development, why low-code tools are changing how teams build solutions, and how security is now a core part of innovation. We also talk about how tech leaders are breaking down data silos, building more collaborative cultures, and preparing for the digital future of healthcare.If you're in biotech, tech, or healthcare, this conversation is full of insights you won't want to miss.Links from this episode:✅ Get to know more about Steven Swan: https://www.linkedin.com/in/swangroup ✅ Get to know more about Steve Eichorn: https://www.linkedin.com/in/steve-eichorn-he-his-him-68b8105

Nosipho Radebe speaks to Andrew Bourne, Regional Head at Zoho South AfricaSee omnystudio.com/listener for privacy information.

In dieser Podcast-Episode spreche ich mit Lukas Grubwieser, Senior Solution Architect, und Leonie Hollstein, Global Account Manager, beide von Databricks, über das Thema DORA Compliance im Finanzsektor. Wir tauchen tief in die Herausforderungen und Chancen ein, die sich durch die neue Regulierung ergeben. 5 Highlights der Episode: Was ist DORA?: Wir klären, was der Digital Operational Resilience Act (DORA) überhaupt ist: Ein regulatorisches Framework, das IT-Risiken in Finanzinstituten adressiert und am 17. Januar 2025 in Kraft getreten ist. DORA zielt darauf ab, die Abhängigkeit von einzelnen Anbietern zu reduzieren und die Resilienz von IT-Systemen zu stärken. Herausforderungen der DORA Compliance: Wir diskutieren die größten Herausforderungen, die sich für Finanzinstitute bei der Umsetzung von DORA stellen. Dazu gehören das Management von Drittparteienrisiken (z.B. Cloud-Anbieter), der notwendige Change-Management-Prozess, der Umgang mit veralteter Technologie (Legacy-Systeme) und die Notwendigkeit eines ganzheitlichen Ansatzes, der alle IT-Systeme umfasst. Die Rolle von Databricks: Ich lerne, wie Databricks Finanzinstitute bei der Erfüllung der DORA-Anforderungen unterstützt. Databricks liefert nicht nur eine Plattform, sondern fungiert auch als Berater und hilft bei der Entwicklung von Prozessen und der Implementierung der notwendigen Technologie. Das Geschäftsmodell ist consumption-based, also erfolgsabhängig. Incident Management und Echtzeit-Monitoring: Wir beleuchten die Bedeutung von Echtzeit-Monitoring und -Logging zur frühzeitigen Erkennung und Reaktion auf Sicherheitsvorfälle. Databricks bietet hierfür Lösungen, die diverse Systeme integrieren und eine zentrale Übersicht ermöglichen. Das beinhaltet auch die Automatisierung von Prozessen. Governance und Open Source: Die Bedeutung von Daten-Governance und die Rolle von Open-Source-Technologien wie Spark und MLflow werden hervorgehoben. Databricks setzt auf einen hybriden Ansatz, der sowohl die Vorteile der Cloud als auch die Unabhängigkeit von einzelnen Anbietern berücksichtigt. Links in dieser Ausgabe Zur Homepage von Jonas Piela Zum LinkedIn-Profil von Jonas Piela Zum LinkedIn-Profil von Lukas Grubwieser Zum LinkedIn-Profil von Leonie Hollstein Zum Whitepaper zu Dora Die Liferay Digital Experience Platform Kunden erwarten digitale Services für die Kommunikation, Schadensmeldung und -abwicklung. Liferays Digital Experience Platform bietet Out-of-the-Box-Funktionen wie Low-Code, höchste Sicherheit & Zuverlässigkeit. Jetzt Kontakt aufnehmen.

✨ Heads up! This episode features a demonstration of the SnapLogic UI and its AI Agent Creator towards the end. For the full visual experience, check out the video version on the Spotify app! ✨(Episode Summary)Tired of tangled data spread across multiple clouds, on-premise systems, and the edge? In this episode, MongoDB's Shane McAllister sits down with Peter Ngai, Principal Architect at SnapLogic, to explore the future of data integration and management in today's complex tech landscape.Dive into the challenges and solutions surrounding modern data architecture, including:Navigating the complexities of multi-cloud and hybrid cloud environments.The secrets to building flexible, resilient data ecosystems that avoid vendor lock-in.Strategies for seamless data integration and connecting disparate applications using low-code/no-code platforms like SnapLogic.Meeting critical data compliance, security, and sovereignty demands (think GDPR, HIPAA, etc.).How AI is revolutionizing data automation and providing faster access to insights (featuring SnapLogic's Agent Creator).The powerful synergy between SnapLogic and MongoDB, leveraging MongoDB both internally and for customer integrations.Real-world applications, from IoT data processing to simplifying enterprise workflows.Whether you're an IT leader, data engineer, business analyst, or simply curious about cloud strategy, iPaaS solutions, AI in business, or simplifying your data stack, Peter offers invaluable insights into making data connectivity a driver, not a barrier, for innovation.-Keywords: Data Integration, Multi-Cloud, Hybrid Cloud, Edge Computing, SnapLogic, MongoDB, AI, Artificial Intelligence, Data Automation, iPaaS, Low-Code, No-Code, Data Architecture, Data Management, Cloud Data, Enterprise Data, API Integration, Data Compliance, Data Sovereignty, Data Security, Business Automation, ETL, ELT, Tech Stack Simplification, Peter Ngai, Shane McAllister.

No episódio de hoje do Podcast Canaltech, exploramos uma das maiores tendências do momento: a combinação de low-code e Inteligência Artificial, que está transformando a criação de software nas empresas ao redor do mundo. Para discutir como essas tecnologias estão mudando a forma como as organizações criam e escalam suas soluções, conversamos com Lucas Felisberto, Vice-Presidente de Vendas e Sucesso do Cliente para a América Latina da Jitterbit, líder global em plataformas de integração e automação. Ele compartilha insights sobre como o low-code, que permite criar aplicações com pouco ou nenhum código, está se unindo à IA para acelerar o desenvolvimento, reduzir custos e tornar as empresas mais ágeis e competitivas no mercado. Você vai descobrir: O que é o desenvolvimento low-code e como ele está revolucionando a criação de software. O impacto da combinação de low-code e IA nas empresas e como isso altera a forma de desenvolver soluções. Como pequenas e médias empresas podem aproveitar essas tecnologias para competir com grandes corporações. O futuro das carreiras em TI com a popularização dessas tecnologias e o papel das equipes de TI no novo cenário. Desafios de governança e segurança em um mundo cada vez mais automatizado e conectado. Você também vai conferir: Apagão atinge Europa e levanta suspeitas de ciberataque; WhatsApp vai liberar reações com figurinhas e novo atalho para áudios; Apple prepara óculos inteligentes com foco em IA e design mais leve; Vivo lança celular barato com visual de iPhone e bateria de longa duração; Starlink lança antena compacta no Brasil, com internet de 100 Mbps e mais leve. Este Podcast foi roteirizado e apresentado por Fernanda Santos e contou com reportagens de André Lourenti, Emanuele Almeida, Renato Moura e Vinicius Moschen. A trilha sonora é de Guilherme Zomer, a edição de Jully Cruz e a arte da capa é de Erick Teixeira. Você escuta o Podcast do Canaltech de segunda a sexta-feira.See omnystudio.com/listener for privacy information.

Generative AI (GenAI) is transforming the way we work, from boosting productivity to automating tasks, reshaping collaboration, and enhancing decision-making. But finding the right balance between human intelligence and AI capabilities remains an ongoing challenge, alongside governance and integration.  In this episode of TechTalk, Xavier Lisoir, Managing Director in Digital Transformation at PwC Luxembourg, and Davy De Roeck, Senior Technical Specialist in Business Applications and Low-Code at Microsoft Benelux, share their insights on harnessing GenAI's full potential in the workplace. 

Jacek Zawadzki, założycie firmy 3Qcode, opowiada o narzędziach typy no-code oraz low-code, którym ufają duże organizacje i dzięki nim usprawniają swój biznes . [more] Rozmawiamy m.in. o tym procesie wdrażania aplikacji, o ich przyszłości w dobie AI i o niezbędnych umiejętnościach, które pozwolą znaleźć pierwszą pracę w tym obszarze. Pełen opis odcinka, polecane materiały i linki oraz transkrypcję znajdziesz na: https://devmentor.pl/b/ || devmentor.pl/rozmowa ⬅ Chcesz przebranżowić się do IT i poznać rozwiązania, które innym pozwoliły skutecznie znaleźć pracę? Jestem doświadczonym developerem oraz mentorem programowania – chętnie odpowiem na Twoje pytania o naukę programowania oraz świat IT. Umów się na bezpłatną, niezobowiązującą rozmowę! ~ Mateusz Bogolubow, twórca podcastu Pierwsze kroki w IT || devmentor.pl/podcast ⬅ Oficjalna strona podcastu

Crystal Camarao is Executive Director at No-code Philippines.No-code Philippines is empowering the no-code and low-code community in the Philippines. No-code Philippines holds regular meetups, events, conferences, and hackathons to educate Filipinos in the concept of no-code, empower and upskill users, and provide a venue for networking and mentorship. No-code Philippines advocates no-code for smart innovation, agile startup validation, as well as having citizen developers who can create amazing apps at our own fingertips.IN THIS EPISODE | 01:08 Ano ang No-code Philippines? | 06:00 What are the advantages of using no-code tools? | 12:39 Why did you start No-code Philippines? | 19:10 How is No-code Philippines empowering the community? | 31:30 What programs and events does No-code Philippines hold? | 41:56 How is the experience building the community? | 57:00 What is the vision? | 01:04:00 How can listeners find more information?NO-CODE PHILIPPINES | Website: ⁠https://nocode.ph⁠ | Facebook: ⁠https://facebook.com/nocodeph⁠THIS EPISODE IS CO-PRODUCED BY:SPROUT SOLUTIONS | Website: ⁠⁠⁠⁠⁠https://sprout.ph⁠⁠⁠⁠⁠ | Sprout Payroll Starter: ⁠⁠⁠⁠⁠https://bit.ly/SproutPayrollStarter⁠⁠⁠⁠⁠APEIRON | Website: ⁠⁠⁠⁠⁠https://apeirongrp.com⁠⁠⁠⁠⁠ | Facebook: ⁠⁠⁠⁠⁠https://facebook.com/apeirongrp⁠⁠⁠⁠⁠TWALA | Website: ⁠⁠⁠⁠⁠https://twala.io⁠⁠⁠⁠⁠ | Facebook: ⁠⁠⁠⁠⁠https://facebook.com/twalaio⁠⁠⁠⁠⁠SYMPH | Website: ⁠⁠⁠⁠⁠https://symph.co⁠⁠⁠⁠⁠ | Facebook: ⁠⁠⁠⁠⁠https://facebook.com/SymphCo⁠⁠⁠⁠⁠AIMHI | Website: ⁠⁠⁠⁠⁠https://aimhi.ai⁠⁠⁠⁠⁠ | Facebook: ⁠⁠⁠⁠⁠https://facebook.com/aimhiconstruction⁠⁠⁠⁠⁠CHECK OUT OUR PARTNERS | Ask Lex PH Academy: ⁠⁠⁠⁠⁠https://asklexph.com⁠⁠⁠⁠⁠ (Get 5% discount on e-learning courses! Code: ALPHAXSUP) | Hyperstacks: ⁠⁠⁠⁠⁠https://hyperstacksinc.com⁠⁠⁠⁠⁠ | OneCFO: ⁠⁠⁠⁠⁠https://onecfoph.co⁠⁠⁠⁠⁠ (Get 10% discount on CFO services! Code: ONECFOXSUP) | UNAWA: ⁠⁠⁠⁠⁠https://unawa.asia⁠⁠⁠⁠⁠ | SkoolTek: ⁠⁠⁠⁠⁠https://skooltek.co⁠⁠⁠⁠⁠ | Better Support: ⁠⁠⁠⁠⁠https://bettersupport.io⁠⁠⁠⁠⁠ (They are offering a referral program for anyone who can bring in new BPO clients! Send us a message to know more) | Britana: ⁠⁠⁠⁠⁠https://britanaerp.com⁠⁠⁠⁠⁠ | Wunderbrand: ⁠⁠⁠⁠⁠https://wunderbrand.com⁠⁠⁠⁠⁠ | Fail Coach: ⁠⁠⁠⁠⁠https://fail.coach⁠⁠⁠⁠⁠ | Drive Manila: ⁠⁠⁠⁠⁠https://facebook.com/drivemanilaph⁠⁠⁠⁠⁠ | EastPoint Business Outsourcing Services: ⁠⁠⁠⁠⁠https://facebook.com/eastpointoutsourcing⁠⁠⁠⁠⁠ | Doon: ⁠⁠⁠⁠⁠https://doon.ph⁠⁠⁠⁠⁠ | Hier Business Solutions: ⁠⁠⁠⁠⁠https://hierpayroll.com⁠⁠⁠⁠⁠ | DVCode Technologies: ⁠⁠⁠⁠⁠https://dvcode.tech⁠⁠⁠⁠⁠ | Mata Technologies: ⁠⁠⁠⁠⁠https://mata.ph⁠⁠⁠⁠⁠ | Smile: ⁠⁠⁠⁠⁠https://getsmileapi.com⁠⁠⁠⁠⁠ | Mommyki Super Pet App: ⁠⁠⁠⁠⁠https://mommyki.com⁠⁠⁠⁠⁠ | Ignite Careers: ⁠⁠⁠⁠⁠https://ignitecareers.ph⁠⁠⁠⁠⁠ LookingFour Buy & Sell Online: ⁠⁠⁠⁠⁠https://lookingfour.com⁠⁠⁠⁠⁠ | NutriCoach: ⁠⁠⁠⁠⁠https://nutricoach.com⁠⁠⁠⁠⁠ | Digest PH: ⁠⁠⁠⁠⁠https://digest.ph⁠⁠⁠⁠⁠ (Get 10% discount on legal services! Code: DIGESTXSUP) | Contakt RFID Business Cards: ⁠⁠⁠⁠⁠https://contakt-ph.com⁠⁠⁠⁠⁠ (Get 10% discount on RFID Business Cards! Code: CONTAKTXSUP) | Uplift Code Camp: ⁠⁠⁠⁠⁠https://upliftcodecamp.com⁠⁠⁠⁠⁠ (Get 5% discount on bootcamps and courses! Code: UPLIFTSTARTUPPH) | Wasteless PH | Tech Tribe | YEY | Board Prep | DOHE Philippines | EdFolio | HiveRooms | Kazam | CodeChum | Jur.ph | Big Giant Games | Agile Data Solutions - Hustle PH | Pahatid PH | Founders Launchpad | Pareto Consulting | SeriousMDSTART UP PODCAST PH | YouTube: ⁠⁠⁠⁠⁠https://youtube.com/startuppodcastph⁠⁠⁠⁠⁠ | Spotify: ⁠⁠⁠⁠⁠https://open.spotify.com/show/6BObuPvMfoZzdlJeb1XXVa⁠⁠⁠⁠⁠ | Apple Podcasts: ⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/start-up-podcast/id1576462394⁠⁠⁠⁠⁠ | Facebook: ⁠⁠⁠⁠⁠https://facebook.com/startuppodcastph⁠⁠⁠⁠⁠ | Patreon: ⁠⁠⁠⁠⁠https://patreon.com/StartUpPodcastPH⁠⁠⁠⁠⁠ | Website: ⁠⁠⁠⁠⁠https://phstartup.online⁠⁠⁠⁠⁠This episode is edited by the team at: ⁠⁠⁠⁠⁠https://tasharivera.com⁠⁠

Crystal Camarao is Executive Director at No-code Philippines.No-code Philippines is empowering the no-code and low-code community in the Philippines. No-code Philippines holds regular meetups, events, conferences, and hackathons to educate Filipinos in the concept of no-code, empower and upskill users, and provide a venue for networking and mentorship. No-code Philippines advocates no-code for smart innovation, agile startup validation, as well as having citizen developers who can create amazing apps at our own fingertips.IN THIS EPISODE | 01:08 Ano ang No-code Philippines? | 06:00 What are the advantages of using no-code tools? | 12:39 Why did you start No-code Philippines? | 19:10 How is No-code Philippines empowering the community? | 31:30 What programs and events does No-code Philippines hold? | 41:56 How is the experience building the community? | 57:00 What is the vision? | 01:04:00 How can listeners find more information?NO-CODE PHILIPPINES | Website: https://nocode.ph | Facebook: https://facebook.com/nocodephTHIS EPISODE IS CO-PRODUCED BY:SPROUT SOLUTIONS | Website: ⁠⁠⁠⁠https://sprout.ph⁠⁠⁠⁠ | Sprout Payroll Starter: ⁠⁠⁠⁠https://bit.ly/SproutPayrollStarter⁠⁠⁠⁠APEIRON | Website: ⁠⁠⁠⁠https://apeirongrp.com⁠⁠⁠⁠ | Facebook: ⁠⁠⁠⁠https://facebook.com/apeirongrp⁠⁠⁠⁠TWALA | Website: ⁠⁠⁠⁠https://twala.io⁠⁠⁠⁠ | Facebook: ⁠⁠⁠⁠https://facebook.com/twalaio⁠⁠⁠⁠SYMPH | Website: ⁠⁠⁠⁠https://symph.co⁠⁠⁠⁠ | Facebook: ⁠⁠⁠⁠https://facebook.com/SymphCo⁠⁠⁠⁠AIMHI | Website: ⁠⁠⁠⁠https://aimhi.ai⁠⁠⁠⁠ | Facebook: ⁠⁠⁠⁠https://facebook.com/aimhiconstruction⁠⁠⁠⁠CHECK OUT OUR PARTNERS | Ask Lex PH Academy: ⁠⁠⁠⁠https://asklexph.com⁠⁠⁠⁠ (Get 5% discount on e-learning courses! Code: ALPHAXSUP) | Hyperstacks: ⁠⁠⁠⁠https://hyperstacksinc.com⁠⁠⁠⁠ | OneCFO: ⁠⁠⁠⁠https://onecfoph.co⁠⁠⁠⁠ (Get 10% discount on CFO services! Code: ONECFOXSUP) | UNAWA: ⁠⁠⁠⁠https://unawa.asia⁠⁠⁠⁠ | SkoolTek: ⁠⁠⁠⁠https://skooltek.co⁠⁠⁠⁠ | Better Support: ⁠⁠⁠⁠https://bettersupport.io⁠⁠⁠⁠ (They are offering a referral program for anyone who can bring in new BPO clients! Send us a message to know more) | Britana: ⁠⁠⁠⁠https://britanaerp.com⁠⁠⁠⁠ | Wunderbrand: ⁠⁠⁠⁠https://wunderbrand.com⁠⁠⁠⁠ | Fail Coach: ⁠⁠⁠⁠https://fail.coach⁠⁠⁠⁠ | Drive Manila: ⁠⁠⁠⁠https://facebook.com/drivemanilaph⁠⁠⁠⁠ | EastPoint Business Outsourcing Services: ⁠⁠⁠⁠https://facebook.com/eastpointoutsourcing⁠⁠⁠⁠ | Doon: ⁠⁠⁠⁠https://doon.ph⁠⁠⁠⁠ | Hier Business Solutions: ⁠⁠⁠⁠https://hierpayroll.com⁠⁠⁠⁠ | DVCode Technologies: ⁠⁠⁠⁠https://dvcode.tech⁠⁠⁠⁠ | Mata Technologies: ⁠⁠⁠⁠https://mata.ph⁠⁠⁠⁠ | Smile: ⁠⁠⁠⁠https://getsmileapi.com⁠⁠⁠⁠ | Mommyki Super Pet App: ⁠⁠⁠⁠https://mommyki.com⁠⁠⁠⁠ | Ignite Careers: ⁠⁠⁠⁠https://ignitecareers.ph⁠⁠⁠⁠ LookingFour Buy & Sell Online: ⁠⁠⁠⁠https://lookingfour.com⁠⁠⁠⁠ | NutriCoach: ⁠⁠⁠⁠https://nutricoach.com⁠⁠⁠⁠ | Digest PH: ⁠⁠⁠⁠https://digest.ph⁠⁠⁠⁠ (Get 10% discount on legal services! Code: DIGESTXSUP) | Contakt RFID Business Cards: ⁠⁠⁠⁠https://contakt-ph.com⁠⁠⁠⁠ (Get 10% discount on RFID Business Cards! Code: CONTAKTXSUP) | Uplift Code Camp: ⁠⁠⁠⁠https://upliftcodecamp.com⁠⁠⁠⁠ (Get 5% discount on bootcamps and courses! Code: UPLIFTSTARTUPPH) | Wasteless PH | Tech Tribe | YEY | Board Prep | DOHE Philippines | EdFolio | HiveRooms | Kazam | CodeChum | Jur.ph | Big Giant Games | Agile Data Solutions - Hustle PH | Pahatid PH | Founders Launchpad | Pareto Consulting | SeriousMDSTART UP PODCAST PH | YouTube: ⁠⁠⁠⁠https://youtube.com/startuppodcastph⁠⁠⁠⁠ | Spotify: ⁠⁠⁠⁠https://open.spotify.com/show/6BObuPvMfoZzdlJeb1XXVa⁠⁠⁠⁠ | Apple Podcasts: ⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/start-up-podcast/id1576462394⁠⁠⁠⁠ | Facebook: ⁠⁠⁠⁠https://facebook.com/startuppodcastph⁠⁠⁠⁠ | Patreon: ⁠⁠⁠⁠https://patreon.com/StartUpPodcastPH⁠⁠⁠⁠ | Website: ⁠⁠⁠⁠https://phstartup.online⁠⁠⁠⁠This episode is edited by the team at: ⁠⁠⁠⁠https://tasharivera.com⁠

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVMFULL SHOW NOTES https://www.microsoftinnovationpodcast.com/660  Zeeshan Saeed's journey from a website designer to a dynamic MVP leader emphasizes the transformative power of community and the importance of adapting to technological evolution. He discusses his career transitions, the current job market in Sydney, and the necessity of best practices in tech implementations. Our conversation also uncovers the shifting trend of tech professionals gravitating towards freelancing, driven by technological advancements outpacing corporate adoption. Gain valuable perspectives on the challenges of AI integration in businesses and how nimble startups are seizing these tech opportunities. TAKEAWAYS• Emphasizes the impact of community on professional growth • Discusses the transition from traditional coding to low-code platforms • Zeeshan shares his insights on the job market for Power Platform professionals • Highlights the importance of best practices in tech implementations • Reflects on his major projects, including government data initiatives • Explores the rise of freelancing in the tech industryOTHER RESOURCES: Microsoft MVP YouTube Series - How to Become a Microsoft MVP This year we're adding a new show to our line up - The AI Advantage. We'll discuss the skills you need to thrive in an AI-enabled world. Accelerate your Microsoft career with the 90 Day Mentoring Challenge We've helped 1,300+ people across 70+ countries establish successful careers in the Microsoft Power Platform and Dynamics 365 ecosystem.Benefit from expert guidance, a supportive community, and a clear career roadmap. A lot can change in 90 days, get started today!Support the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

Fragestellungen aus der Unterhaltung mit Sebastian Schneider: Was ist der Vorteil von Low-Code bei der Prozessautomatisierung ggü. "klassischen" Automatisierungslösungen? In welchen Unternehmensbereichen und Branchen kommen die Vorteile von Low-Code-Anwendungen besonders zum Tragen? Was unterscheidet Low-Code-Lösungen von klassischen Excel? Wie vermeidet man eine Schatten-IT und damit zusammenhängend die (unerkannte) Abhängigkeit von einzelnen Personen? Welche Voraussetzungen sollte man bei Low-Code-Automatisierung beachten? Welche Rolle spielt die IT als Abteilung bzw. interner Dienstleister im Low-Code-Kontext? Welche Konsequenzen und mögliche Konflikte können dabei auftreten aber ggf. auch vermieden werden? Welche neuen Aufgaben kommen beim Einsatz von Low-Code-Lösungen auf die Mitarbeiter in den Fachabteilungen zu und welche Reaktionen können dabei auftreten? Wie geht am besten mit diesen Reaktionen um? Welche Erkenntnisse und Erfahrungen aus bisherigen Projekten lassen sich auf andere Situationen übertragen?

The use of low-code has grown significantly and has been boosted by GenAI tools. These tools allow companies to work with partners to accelerate software development and rapidly bring new solutions to market. In this episode of HFS Unfiltered Stories, Joel Martin, Executive Research Leader at HFS Research, talks with SP Singh, SVP, Service Offering Head at Infosys.Find out how Infosys enables its customers to accelerate the SDLC with low-code and GenAI frameworks. Read the related research titled “The low-code imperative is crucial to bring speed and agility to software-driven outcomes” here: https://www.hfsresearch.com/research/the-low-code-imperative-is-crucial-to-bring-speed-and-agility-to-software-driven-outcomes/

FULL SHOW NOTES https://www.microsoftinnovationpodcast.com/654George Grammatikos' journey as a cloud integrator and Microsoft MVP showcases the blend of technology and personal experiences. With a passion for the Power Platform and a leadership role in various Microsoft communities, George has not only influenced the tech world but also left a mark on those he mentors. His story is one of ambition, dedication, and a deep commitment to pushing the boundaries of technology, making him a beacon of inspiration for aspiring tech professionals. Join us for an enriching conversation that blends professional insights with a heartfelt celebration of life's simple pleasures.  TAKEAWAYS  • George's personal connection to family and Greek cuisine • The transition from hardware to cloud technology • Insights into remote work and its benefits • Exploration of business applications and low-code tools • Future aspirations in AI and technology trends OTHER RESOURCES:Microsoft MVP YouTube Series - How to Become a Microsoft MVPThis year we're adding a new show to our line up - The AI Advantage. We'll discuss the skills you need to thrive in an AI-enabled world. Accelerate your Microsoft career with the 90 Day Mentoring Challenge We've helped 1,300+ people across 70+ countries establish successful careers in the Microsoft Power Platform and Dynamics 365 ecosystem.Benefit from expert guidance, a supportive community, and a clear career roadmap. A lot can change in 90 days, get started today!Support the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

In this episode, David Rubinstein interviews Damien Garros, co-founder and CEO of OpsMill, about middle code, a concept that sits somewhere between programming and low-code/no-code.They discuss:What middle code isThe influence generative AI has had on this technologyHow middle code can be used to accomplish things not possible with low-code or no-code

Bio   Bala has rich experience in retail technology and process transformation. Most recently, he worked as a Principal Architect for Intelligent Automation, Innovation & Supply Chain in a global Fortune 100 retail corporation. Currently he works for a luxury brand as Principal Architect for Intelligent Automation providing technology advice for the responsible use of technology (Low Code, RPA, Chatbots, and AI). He is passionate about technology and spends his free time reading, writing technical blogs and co-chairing a special interest group with The OR Society.   Interview Highlights 02:00 Mentors and peers 04:00 Community bus 07:10 Defining AI 08:20 Contextual awareness 11:45 GenAI 14:30 The human loop 17:30 Natural Language Processing 20:45 Sentiment analysis 24:00 Implementing AI solutions 26:30 Ethics and AI 27:30 Biased algorithms 32:00 EU AI Act  33:00 Responsible use of technology   Connect   Bala Madhusoodhanan on LinkedIn     Books and references   ·       https://nymag.com/intelligencer/article/ai-artificial-intelligence-chatbots-emily-m-bender.html  - NLP   ·       https://www.theregister.com/2021/05/27/clearview_europe/  - Facial Technology Issue   ·       https://www.designnews.com/electronics-test/apple-card-most-high-profile-case-ai-bias-yet  - Apple Card story   ·       https://www.ft.com/content/2d6fc319-2165-42fb-8de1-0edf1d765be3  - Data Centre growth   ·       https://www.technologyreview.com/2024/02/06/1087793/what-babies-can-teach-ai/   ·       Independent Audit of AI Systems -   ·       Home | The Alan Turing Institute   ·       Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World, Marco Iansiti & Karim R. Lakhani   ·       AI Superpowers: China, Silicon Valley, and the New World, Kai-Fu Lee   ·       The Algorithmic Leader: How to Be Smart When Machines Are Smarter Than You, Mike Walsh   ·       Human+Machine: Reimagining Work in the Age of AI, Paul R Daugherty, H. James Wilson   ·       Superintelligence: Paths, Dangers, Strategies, Nick Bostrom   ·       The Alignment Problem: How Can Artificial Intelligence Learn Human Values, Brian Christian   ·       Ethical Machines: Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI, Reid Blackman   ·       Wanted: Human-AI Translators: Artificial Intelligence Demystified, Geertrui Mieke De Ketelaere   ·       The Future of Humanity: Terraforming Mars, Interstellar Travel, Immortality, and Our Destiny Beyond, Michio Kaku, Feodor Chin et al  Episode Transcript Intro: Hello and welcome to the Agile Innovation Leaders podcast. I'm Ula Ojiaku. On this podcast I speak with world-class leaders and doers about themselves and a variety of topics spanning Agile, Lean Innovation, Business, Leadership and much more – with actionable takeaways for you the listener. Ula Ojiaku So I have with me here, Bala Madhusoodhanan, who is a principal architect with a global luxury brand, and he looks after their RPA and AI transformation. So it's a pleasure to have you on the Agile Innovation Leaders podcast, Bala, thank you for making the time. Bala Madhusoodhanan It's a pleasure to have a conversation with the podcast and the podcast audience, Ula. I follow the podcast and there have been fantastic speakers in the past. So I feel privileged to join you on this conversation. Ula Ojiaku Well, the privilege is mine. So could you start off with telling us about yourself Bala, what have been the key points or the highlights of your life that have led to you being the Bala we know now? Bala Madhusoodhanan It's putting self into uncharted territory. So my background is mechanical engineering, and when I got the job, it was either you go into the mechanical engineering manufacturing side or the software side, which was slightly booming at that point of time, and obviously it was paying more then decided to take the software route, but eventually somewhere the path kind of overlapped. So from a mainframe background, started working on supply chain, and then came back to optimisation, tied back to manufacturing industry. Somewhere there is an overlap, but yeah, that was the first decision that probably got me here. The second decision was to work in a UK geography, rather than a US geography, which is again very strange in a lot of my peers. They generally go to Silicon Valley or East Coast, but I just took a choice to stay here for personal reasons. And then the third was like the mindset. I mean, I had over the last 15, 20 years, I had really good mentors, really good peers, so I always had their help to soundboard my crazy ideas, and I always try to keep a relationship ongoing. Ula Ojiaku What I'm hearing is, based on what you said, lots of relationships have been key to getting you to where you are today, both from mentors, peers. Could you expand on that? In what way? Bala Madhusoodhanan The technology is changing quite a lot, at least in the last 10 years. So if you look into pre-2010, there was no machine learning or it was statistics. People were just saying everything is statistics and accessibility to information was not that much, but post 2010, 2011, people started getting accessibility. Then there was a data buzz, big data came in, so there were a lot of opportunities where I could have taken a different career path, but every time I was in a dilemma which route to take, I had someone with whom either I have worked or who was my team lead or manager to guide me to tell me, like, take emotion out of the decision making and think in a calm mind, because you might jump into something and you might like it, you might not like it, you should not regret it. So again, over the course of so many such decisions, my cognitive mind has also started thinking about it. So those conversations really help. And again, collective experience. If you look into the decision making, it's not just my decision, I'm going through conversations that I had with people where they have applied their experience, so it's not just me or just not one situation, and to understand the why behind that, and that actually helps. In short, it's like a collection of conversations that I had with peers. A few of them are visionary leaders, they are good readers. So they always had a good insight on where I should focus, where I shouldn't focus, and of late recently, there has been a community bus. So a lot of things are moving to open source, there is a lot of community exchange of conversation, the blogging has picked up a lot. So, connecting to those parts also gives you a different dimension to think about. Ula Ojiaku So you said community bus, some of the listeners or people who are watching the video might not understand what you mean by the community bus. Are you talking about like meetups or communities that come around to discuss shared interests? Bala Madhusoodhanan If you are very much specifically interested in AI, or you are specifically interested in, power platform or a low code platform, there are a lot of content creators on those topics. You can go to YouTube, LinkedIn, and you get a lot of information about what's happening. They do a lot of hackathons, again, you need to invest time in all these things. If you don't, then you are basically missing the boat, but there are various channels like hackathon or meetup groups, or, I mean, it could be us like a virtual conversation like you and me, we both have some passionate topics, that's why we resonate and we are talking about it. So it's all about you taking an initiative, you finding time for it, and then you have tons and tons of information available through community or through conferences or through meetup groups. Ula Ojiaku Thanks for clarifying. So, you said as well, you had a collection of conversations that helped you whenever you were at a crossroad, some new technology or something emerges or there's a decision you had to make and checking in with your mentors, your peers and your personal Board of Directors almost, that they give you guidance. Now, looking back, would you say there were some turns you took that knowing what you know now, you would have done differently? Bala Madhusoodhanan I would have liked to study more. That is the only thing, because sometimes the educational degree, even though without a practical knowledge has a bigger advantage in certain conversation, otherwise your experience and your content should speak for you and it takes a little bit of effort and time to get that trust among leaders or peers just to, even them to trust saying like, okay, this person knows what he's talking about. I should probably trust rather than, someone has done a PhD and it's just finding the right balance of when I should have invested time in continuing my education, if I had time, I would have gone back two years and did everything that I had done, like minus two years off-set it by two years earlier. It would have given me different pathways. That is what I would think, but again, it's all constraints. I did the best at that point in time with whatever constraints I had. So I don't have any regret per se, but yeah, if there is a magic wand, I would do that. Ula Ojiaku So you are a LinkedIn top voice from AI. How would you define AI, artificial intelligence? Bala Madhusoodhanan I am a bit reluctant to give a term Artificial Intelligence. It's in my mind, it is Artificial Narrow Intelligence, it's slightly different. So let me start with a building block, which is machine learning. So machine learning is like a data labeller. You go to a Tesco store, you read the label, you know it is a can of soup because you have read the label, your brain is not only processing that image, it understands the surrounding. It does a lot of things when you pick that can of soup. You can't expect that by just feeding one model to a robot. So that's why I'm saying like it's AI is a bit over glorified in my mind. It is artificial narrow intelligence. What you do to automate certain specific tasks using a data set which is legal, ethical, and drives business value is what I would call machine learning, but yeah, it's just overhyped and heavily utilised term AI. Ula Ojiaku You said, there's a hype around artificial intelligence. So what do you mean by that? And where do you see it going? Bala Madhusoodhanan Going back to the machine learning definition that I said, it's basically predicting an output based on some input. That's as simple as what we would say machine learning. The word algorithm is basically something like a pattern finder. What you're doing is you are giving a lot of data, which is properly labelled, which has proper diversity of information, and there are multiple algorithms that can find patterns. The cleverness or engineering mind that you bring in is to select which pattern or which algorithm you would like to do for your use case. Now you're channelling the whole machine learning into one use case. That's why I'm going with the term narrow intelligence. Computers can do brilliant jobs. So you ask computers to do like a Rubik's cubes solving. It will do it very quickly because the task is very simple and it is just doing a lot of calculation. You give a Rubik's cube to a kid. It has to apply it. The brain is not trained enough, so it has to cognitively learn. Maybe it will be faster. So anything which is just pure calculation, pure computing, if the data is labelled properly, you want to predict an outcome, yes, you can use computers. One of the interesting videos that I showed in one of my previous talks was a robot trying to walk across the street. This is in 2018 or 19. The first video was basically talking about a robot crossing a street and there were vehicles coming across and the robot just had a headbutt and it just fell off. Now a four year old kid was asked to walk and it knew that I have to press a red signal. So it went to the signal stop. It knew, or the baby knew that I can only walk when it is green. And then it looks around and then walks so you can see the difference – a four year old kid has a contextual awareness of what is happening, whereas the robot, which is supposed to be called as artificial intelligence couldn't see that. So again, if you look, our human brains have been evolved over millions of years. There are like 10 billion neurons or something, and it is highly optimised. So when I sleep, there are different set of neurons which are running. When I speak to you, my eyes and ears are running, my motion sensor neurons are running, but these are all highly optimised. So the mother control knows how much energy should be sent on which neuron, right, whereas all these large language models, there is only one task. You ask it, it's just going to do that. It doesn't have that intelligence to optimise. When I sleep, maybe 90 percent of my neurons are sleeping. It's getting recharged. Only the dream neurons are working. Whereas once you put a model live, it doesn't matter, all the hundred thousand neurons would run. So, yeah, it's in very infancy state, maybe with quantum computing, maybe with more power and better chips things might change, but I don't see that happening in the next five to 10 years. Ula Ojiaku Now, what do you say about Gen AI? Would you also classify generative AI as purely artificial neural intelligence? Bala Madhusoodhanan The thing with generative AI is you're trying to generalise a lot of use cases, say ChatGPT, you can throw in a PDF, you can ask something, or you can say, hey, can you create a content for my blog or things like that, right? Again, all it is trying to do is it has some historical content with which it is trying to come up with a response. So the thing that I would say is humans are really good with creativity. If a problem is thrown at a person, he will find creative ways to solve it. The tool with which we are going to solve might be a GenAI tool, I don't know, because I don't know the problem, but because GenAI is in a hype cycle, every problem doesn't need GenAI, that's my view. So there was an interesting research which was done by someone in Montreal University. It talks about 10 of the basic tasks like converting text to text or text to speech and with a generative AI model or multiple models, because you have a lot of vendors providing different GenAI models, and then they went with task specific models and the thing that they found was the task specific models were cheap to run, very, very scalable and robust and highly accurate, right. Whereas GenAI, if, when you try to use it and when it goes into a production ready or enterprise ready and if it is used by customers or third party, which are not part of your ecosystem, you are putting yourself in some kind of risk category. There could be a risk of copyright issues. There could be a risk of IP issues. There could be risk of not getting the right consent from someone. I can say, can you create an image of a podcaster named Ula? You never know because you don't remember that one of your photos on Google or Twitter or somewhere is not set as private. No one has come and asked you saying, I'm using this image. And yeah, it's finding the right balance. So even before taking the technology, I think people should think about what problem are they trying to solve? In my mind, AI or artificial intelligence, or narrow intelligence can have two buckets, right. The first bucket is to do with how can I optimise the existing process? Like there are a lot of things that I'm doing, is there a better way to do it? Is there an efficient way to do it? Can I save time? Can I save money? Stuff like that. So that is an optimisation or driving efficiency lever. Other one could be, I know what to do. I have a lot of data, but I don't have infrastructure or people to do it, like workforce augmentation. Say, I have 10 data entry persons who are graduate level. Their only job is to review the receipts or invoices. I work in FCA. I have to manually look at it, approve it, and file it, right? Now it is a very tedious job. So all you are doing is you are augmenting the whole process with an OCR engine. So OCR is Optical Character Recognition. So there are models, which again, it's a beautiful term for what our eyes do. When we travel somewhere, we get an invoice, we exactly know where to look, right? What is the total amount? What is the currency I have paid? Have they taken the correct credit card? Is my address right? All those things, unconsciously, your brain does it. Whereas our models given by different software vendors, which have trained to capture these specific entities which are universal language, to just pass, on data set, you just pass the image on it. It just picks and maps that information. Someone else will do that job. But as part of your process design, what you would do is I will do the heavy lifting of identifying the points. And I'll give it to someone because I want someone to validate it. It's human at the end. Someone is approving it. So they basically put a human in loop and, human centric design to a problem solving situation. That's your efficiency lever, right? Then you have something called innovation level - I need to do something radical, I have not done this product or service. Yeah, that's a space where you can use AI, again, to do small proof of concepts. One example could be, I'm opening a new store, it's in a new country, I don't know how the store layout should look like. These are my products. This is the store square footage. Can you recommend me the best way so that I can sell through a lot? Now, a visual merchandising team will have some ideas on where the things should be, they might give that prompt. Those texts can be converted into image. Once you get the base image, then it's human. It's us. So it will be a starting point rather than someone implementing everything. It could be a starting point. But can you trust it? I don't know. Ula Ojiaku And that's why you said the importance of having a human in the loop. Bala Madhusoodhanan Yeah. So the human loop again, it's because we humans bring contextual awareness to the situation, which machine doesn't know. So I'll tie back this to the NLP. So Natural Language Processing, it has two components, so you have natural language understanding and then you have natural language generation. When you create a machine learning model, all it is doing is, it is understanding the structure of language. It's called form. I'm giving you 10,000 PDFs, or you're reading a Harry Potter book. There is a difference between you reading a Harry Potter book and the machine interpreting that Harry Potter book. You would have imagination. You will have context of, oh, in the last chapter, we were in the hilly region or in a valley, I think it will be like this, the words like mist, cold, wood. You started already forming images and visualising stuff. The machine doesn't do that. Machine works on this is the word, this is a pronoun, this is the noun, this is the structure of language, so the next one should be this, right? So, coming back to the natural language understanding, that is where the context and the form comes into play. Just think of some alphabets put in front of you. You have no idea, but these are the alphabet. You recognise A, you recognise B, you recognise the word, but you don't understand the context. One example is I'm swimming against the current. Now, current here is the motion of water, right? My current code base is version 01. I'm using the same current, right? The context is different. So interpreting the structure of language is one thing. So, in natural language understanding, what we try to do is we try to understand the context. NLG, Natural Language Generation, is basically how can I respond in a way where I'm giving you an answer to your query. And this combined is NLP. It's a big field, there was a research done, the professor is Emily Bender, and she one of the leading professors in the NLP space. So the experiment was very funny. It was about a parrot in an island talking to someone, and there was a shark in between, or some sea creature, which basically broke the connection and was listening to what this person was saying and mimicking. Again, this is the problem with NLP, right? You don't have understanding of the context. You don't put empathy to it. You don't understand the voice modulation. Like when I'm talking to you, you can judge what my emotion cues are, you can put empathy, you can tailor the conversation. If I'm feeling sad, you can put a different spin, whereas if I'm chatting to a robot, it's just going to give a standard response. So again, you have to be very careful in which situation you're going to use it, whether it is for a small team, whether it is going to be in public, stuff like that. Ula Ojiaku So that's interesting because sometimes I join the Masters of Scale strategy sessions and at the last one there was someone whose organisational startup was featured and apparently what their startup is doing is to build AI solutions that are able to do sentiment analysis. And I think some of these, again, in their early stages, but some of these things are already available to try to understand the tone of voice, the words they say, and match it with maybe the expression and actually can transcribe virtual meetings and say, okay, this person said this, they looked perplexed or they looked slightly happy. So what do you think about that? I understand you're saying that machines can't do that, but it seems like there are already organisations trying to push the envelope towards that direction. Bala Madhusoodhanan So the example that you gave, sentiment of the conversation, again, it is going by the structure or the words that I'm using. I am feeling good. So good, here is positive sentiment. Again, for me the capability is slightly overhyped, the reason being is it might do 20 percent or 30 percent of what a human might do, but the human is any day better than that particular use case, right? So the sentiment analysis typically works on the sentiment data set, which would say, these are the certain proverbs, these are the certain types of words, this generally referred to positive sentiment or a good sentiment or feel good factor, but the model is only good as good as the data is, right? So no one is going and constantly updating that dictionary. No one is thinking about it, like Gen Z have a different lingo, millennials had a different lingo. So, again, you have to treat it use case by use case, Ula. Ula Ojiaku At the end of the day, the way things currently are is that machines aren't at the place where they are as good as humans. Humans are still good at doing what humans do, and that's the key thing. Bala Madhusoodhanan Interesting use case that I recently read probably after COVID was immersive reading. So people with dyslexia. So again, AI is used for good as well, I'm not saying it is completely bad. So AI is used for good, like, teaching kids who are dyslexic, right? Speech to text can talk, or can translate a paragraph, the kid can hear it, and on the screen, I think one note has an immersive reader, it actually highlights which word it is, uttering into the ears and research study showed that kids who were part of the study group with this immersive reading audio textbook, they had a better grasp of the context and they performed well and they were able to manage dyslexia better. Now, again, we are using the technology, but again, kudos to the research team, they identified a real problem, they formulated how the problem could be solved, they were successful. So, again, technology is being used again. Cancer research, they invest heavily, in image clustering, brain tumours, I mean, there are a lot of use cases where it's used for good, but then again, when you're using it, you just need to think about biases. You need to understand the risk, I mean, everything is risk and reward. If your reward is out-paying the minimum risk that you're taking, then it's acceptable. Ula Ojiaku What would you advise leaders of organisations who are considering implementing AI solutions? What are the things we need to consider? Bala Madhusoodhanan Okay. So going back to the business strategy and growth. So that is something that the enterprises or big organisations would have in mind. Always have your AI goals aligned to what they want. So as I said, there are two buckets. One is your efficiency driver, operational efficiency bucket. The other one is your innovation bucket. Just have a sense check of where the business wants to invest in. Just because AI is there doesn't mean you have to use it right. Look into opportunities where you can drive more values. So that would be my first line of thought. The second would be more to do with educating leaders about AI literacy, like what each models are, what do they do? What are the pitfalls, the ethical awareness about use of AI, data privacy is big. So again, that education is just like high level, with some examples on the same business domain where it has been successful, where it has been not so successful, what are the challenges that they face? That's something that I would urge everyone to invest time in. I think I did mention about security again, over the years, the practice has been security is always kept as last. So again, I was fortunate enough to work in organisations where security first mindset was put in place, because once you have a proof of value, once you show that to people, people get excited, and it's about messaging it and making sure it is very secured, protecting the end users. So the third one would be talking about having secure first design policies or principles. Machine learning or AI is of no good if your data quality is not there. So have a data strategy is something that I would definitely recommend. Start small. I mean, just like agile, you take a value, you start small, you realise whether your hypothesis was correct or not, you monitor how you performed and then you think about scale just by hello world doesn't mean that you have mastered that. So have that mindset, start small, monitor, have constant feedback, and then you think about scaling. Ula Ojiaku What are the key things about ethics and AI, do you think leaders should be aware of at this point in time? Bala Madhusoodhanan So again, ethical is very subjective. So it's about having different stakeholders to give their honest opinion of whether your solution is the right thing to do against the value of the enterprise. And it's not your view or my view, it's a consent view and certain things where people are involved, you might need to get HR, you might need to get legal, you might need to get brand reputation team to come and assist you because you don't understand the why behind certain policies were put in place. So one is, is the solution or is the AI ethical to the core value of the enterprise? So that's the first sense check that you need to do. If you pass that sense check, then comes about a lot of other threats, I would say like, is the model that I'm using, did it have a fair representation of all data set? There's a classic case study on one of a big cloud computing giant using an AI algorithm to filter resumes and they had to stop it immediately because the data set was all Ivy League, male, white, dominant, it didn't have the right representation. Over the 10 years, if I'm just hiring certain type of people, my data is inherently biased, no matter how good my algorithm is, if I don't have that data set. The other example is clarify AI. They got into trouble on using very biased data to give an outcome on some decision making to immigration, which has a bigger ramification. Then you talk about fairness, whether the AI system is fair to give you an output. So there was a funny story about a man and a woman in California living together, and I think the woman wasn't provided a credit card, even though everything, the postcode is the same, both of them work in the same company, and it was, I think it has to do with Apple Pay. Apple Pay wanted to bring in a silver credit card, Apple card or whatever it is, but then it is so unfair that the women who was equally qualified was not given the right credit limit, and the bank clearly said the algorithm said so. Then you have privacy concern, right? So all these generic models that you have that is available, even ChatGPT for that matter. Now you can chat with ChatGPT multiple times. You can talk about someone like Trevor Noah and you can say hey, can you create a joke? Now it has been trained with the jokes that he has done, it might be available publicly. But has the creator of model got a consent saying, hey Trevor, I'm going to use your content so that I can give better, and how many such consent, even Wikipedia, if you look into Wikipedia, about 80 percent of the information is public, but it is not diversified. What I mean by that is you can search for a lot of information. If the person is from America or from UK or from Europe, maybe from India to some extent, but what is the quality of data, if you think about countries in Africa, what do you think about South America? I mean, it is not representing the total diversity of data, and we have this large language model, which has been just trained on that data, right? So there is a bias and because of that bias, your outcome might not be fair. So these two are the main things, and of course the privacy concern. So if someone goes and says, hey, you have used my data, you didn't even ask me, then you're into lawsuit. Without getting a proper consent, again, it's a bad world, it's very fast moving and people don't even, including me, I don't even read every terms and condition, I just scroll down, tick, confirm, but those things are the things where I think education should come into play. Think about it, because people don't understand what could go wrong, not to them, but someone like them. Then there is a big fear of job displacement, like if I put this AI system, what will I do with my workforce? Say I had ten people, you need to think about, you need to reimagine your workplace. These are the ten jobs my ten people are doing. If I augment six of those jobs, how can I use my ten resources effectively to do something different or that piece of puzzle is always, again, it goes back to the core values of the company, what they think about their people, how everything is back, but it's just that needs a lot of inputs from multiple stakeholders. Ula Ojiaku It ties back to the enterprise strategy, there is the values, but with technology as it has evolved over the years, things will be made obsolete, but there are new opportunities that are created, so moving from when people travelled with horses and buggies and then the automotive came up. Yes, there wasn't as much demand for horseshoes and horses and buggies, but there was a new industry, the people who would mechanics or garages and things like that. So I think it's really about that. Like, going back to what you're saying, how can you redeploy people? And that might involve, again, training, reskilling, and investing in education of the workforce so that they're able to harness AI and to do those creative things that you've emphasised over this conversation about human beings, that creative aspect, that ability to understand context and nuance and apply it to the situation. Bala Madhusoodhanan So I was fortunate to work with ForHumanity, an NGO which basically is trying to certify people to look into auditing AI systems. So EU AI Act is now in place, it will be enforced soon. So you need people to have controls on all these AI systems to protect - it's done to protect people, it's done to protect the enterprise. So I was fortunate enough to be part of that community. I'm still working closely with the Operation Research Society. Again, you should be passionate enough, you should find time to do it, and if you do it, then the universe will find a way to give you something interesting to work with. And our society, The Alan Turing Institute, the ForHumanity Society, I had a few ICO workshops, which was quite interesting because when you hear perspectives from people from different facets of life, like lawyers and solicitors, you would think, ah, this statement, I wouldn't interpret in this way. It was a good learning experience and I'm sure if I have time, I would still continue to do that and invest time in ethical AI. As technology, it's not only AI, it's ethical use of technology, so sustainability is also part of ethical bucket if you look into it. So there was an interesting paper it talks about how many data centres have been opened between 2018 to 2024, which is like six years and the power consumption has gone from X to three times X or two times X, so we have opened a lot. We have already caused damage to the environment with all these technology, and just because the technology is there, it doesn't mean you have to use it, but again, it's that educational bit, what is the right thing to do? And even the ESG awareness, people are not aware. Like now, if you go to the current TikTok trenders, they know I need to look into certified B Corp when I am buying something. The reason is because they know, and they're more passionate about saving the world. Maybe we are not, I don't know, but again, once you start educating and, telling those stories, humans are really good, so you will have a change of heart. Ula Ojiaku What I'm hearing you say is that education is key to help us to make informed choices. There is a time and place where you would need to use AI, but not everything requires it, and if we're more thoughtful in how we approach, these, because these are tools at the end of the day, then we can at least try to be more balanced in the risks and taking advantage of opportunities versus the risks around it and the impact these decisions and the tools that we choose to use make on the environment. Now, what books have you found yourself recommending most to people, and why? Bala Madhusoodhanan Because we have been talking on AI, AI Superpower is one book which was written by Kai-Fu Lee. There is this book by Brian Christian, The Alignment Problem: Machine Learning and Human Values alignment of human values and machine it was basically talking about what are the human values? Where do you want to use machine learning? How do you basically come up with a decision making, that's a really interesting read. Then there is a book called Ethical Machines by Reid Blackman. So it talks about all the ethical facets of AI, like biases, fairnesses, like data privacy, transparency, explainability, and he gives quite a detail, example and walkthrough of what that means. Another interesting book was Wanted: Human-AI Translators: Artificial Intelligence Demystified by a Dutch professor, again, really, really lovely narration of what algorithms are, what AI is, where, and all you should think about, what controls and stuff like that. So that is an interesting book. Harvard Professor Kahrim Lakhani, he wrote something called, Competing in the Age of AI, that's a good book. The Algorithmic Leader: How to Be Smart When Machines Are Smarter Than You by Mike Walsh is another good book, which I finished a couple of months back. Ula Ojiaku And if the audience wants to find you, how can they reach out to you? Bala Madhusoodhanan They can always reach out to me at LinkedIn, I would be happy to touch base through LinkedIn. Ula Ojiaku Awesome. And do you have any final words and or ask of the audience? Bala Madhusoodhanan The final word is, again, responsible use of technology. Think about not just the use case, think about the environmental impact, think about the future generation, because I think the damage is already done. So, at least not in this lifetime, maybe three or four lifetimes down the line, it might not be the beautiful earth that we have. Ula Ojiaku It's been a pleasure, as always, speaking with you, Bala, and thank you so much for sharing your insights and wisdom, and thank you for being a guest on the Agile Innovation Leaders Podcast. Bala Madhusoodhanan Thank you, lovely conversation, and yeah, looking forward to connecting with more like minded LinkedIn colleagues. Ula Ojiaku That's all we have for now. Thanks for listening. If you liked this show, do subscribe at www.agileinnovationleaders.com or your favourite podcast provider. Also share with friends and do leave a review on iTunes. This would help others find this show. I'd also love to hear from you, so please drop me an email at ula@agileinnovationleaders.com Take care and God bless!   

This week's guest is ZJ van de Weg (https://www.linkedin.com/in/zegerjan/), CEO of FlowFuse. ZJ shares his journey from an intern at GitLab to now leading FlowFuse, how open-source technology is transforming industrial operations, and why Node-RED has become the go-to platform for low-code manufacturing connectivity. He also takes a deep dive into the challenges of scaling open source solutions in enterprise environments, the value of an ‘open-core' business model, and the future of IT/OT collaboration. Augmented Ops is a podcast for industrial leaders, citizen developers, shop floor operators, and anyone else that cares about what the future of frontline operations will look like across industries. This show is presented by Tulip (https://tulip.co/), the Frontline Operations Platform. You can find more from us at Tulip.co/podcast (https://tulip.co/podcast) or by following the show on LinkedIn (https://www.linkedin.com/company/augmentedpod/). Special Guest: ZJ van de Weg.

Co-founders Sean Blagsvedt and Archana Prasad of Gooey.AI discuss how their platform is making AI more accessible across communities. The platform enables teams to leverage multiple AI tools, enhancing productivity in sectors like agriculture, healthcare, and frontline services. Key applications include multilingual chatbots that support African farmers through WhatsApp and AI assistants that help HVAC technicians access technical documentation.

Ben and Andrew open the show by discussing the emergence of the DeepSeek AI model, Google's shakeup of the SEO landscape, and speculate on whether or not we're seeing the death of free APIs.Then, Ben sits down with Bernd Ruecker, Co-Founder and Chief Technologist at Camunda, to explore how low code solutions are changing the game for developers. They discuss how these tools allow developers to focus on more complex challenges, and delve into the importance of understanding when to leverage low code versus custom solutions, and the evolving role of developers in a world increasingly driven by automation.Finally, do us a favor and fill out the Dev Interrupted listener survey! You'll be our best friend forever :-)Show Notes:Dev Interrupted SurveyBeyond the DORA Frameworks Workshop (Jan. 29, 30)Follow BenFollow AndrewFollow BerndLearn more at: camunda.comCamundacon 2025Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

AI is catalysing the evolution of low-code platforms and reshaping the landscape of low-code development tools. These new technologies can provide a strategic advantage in streamlining internal operations. By leveraging AI effectively organisations are able to deliver truly personalised, adaptive, and intuitive interactions.However, organizations face challenges adopting these new technologies and risks like AI hallucinations need to be mitigated to ensure reliable outcomes.In this episode, Paulina Rios-Maya, Head of Industry Relations at EM360Tech, speaks with Nikhil Nandagopal, Co-founder and CPO of Appsmith, about the transformative impact of AI on low-code platforms and application development. Key takeawaysLow-code platforms are revolutionizing application development.AI tools can generate code but require careful review.Routine tasks can be automated, but decision-making still needs human input.AI adoption comes with challenges like hallucinations and misinformation.Organizations must adapt their culture and processes for AI success.Developers need skills in data modeling and security for AI applications.AI can simplify user interfaces and enhance user experience.Interconnected applications will rely on AI to bridge data gaps.Most AI projects fail due to underestimating necessary changes.Enterprises face more challenges in AI adoption compared to SMBs.Chapters00:00 - Introduction to AI and Low-Code Platforms02:59 - The Role of AI in Automating Tasks05:51 - Challenges and Risks of AI Adoption09:08 - Essential Skills for Developers in AI12:01 - Future of Interconnected Applications14:50 - Realities vs. Hype of AI in Enterprises

Brad and Amy dive into their year-end tech reflections, discussing goal-setting strategies and Amy's ambitious Build 12 project for 2025. The hosts explore various database hosting solutions, share their favorite hardware purchases including cameras and peripherals, and examine how AI tools are reshaping development workflows. The episode concludes with insights into emerging tech trends and anticipated developments for 2025.Chapter Marks00:00 Episode introduction and host intros00:41 Year-end goals discussion and 12-week planning02:02 Amy's Build 12 project announcement03:01 Goal setting strategies and focus04:25 Brad's 2024 goals review05:35 Travel plans and New York City trips06:58 More 2024 goals: fitness, career, and finances08:21 Technical stack discussion13:22 AI tools and development workflows17:19 Database hosting options comparison25:45 Tech gear and hardware updates33:47 Notable tech purchases review43:29 AI tools and future tech discussionLinksBuild Twelve, by Brian P. Moran - Amy's upcoming projectThe 12 Week Year (book)Atomic Habits, by James Clear (book)The Power of Habit, by Charles Duhigg (book)SupabaseNeon databaseDigital OceanTursoCursor IDERemarkable Tablet (v2)Oura RingRazer Basilisk V3 Pro mouseSwish app for MacNuphy Air 75 keyboardDrop keyboardInsta360 One cameraInsta360 Go 3 cameraNikon ZFC cameraRay Deck - Episode 182: Low-Code as a Medium For High-Speed DevelopersMarc LouPieter LevelsWorkOSThe Best Way to Add Authentication to Your Astro Website (Amy's YouTube Video)Comparing Frameworks - Amy's projectGitHub CopilotClaudeconvertkit.comloops.soPrisma

Is low-code development the future of digital transformation? In this episode of Tech Talks Daily, I sit down with Hans de Visser, Chief Product Officer at Mendix, to explore how low-code is reshaping the enterprise software space. With 73% of C-suite executives now viewing low-code as the only viable coding option, Hans shares insights into why this technology is no longer a departmental fix but a strategic enabler driving innovation at scale. Hans delves into Mendix's integration of generative AI, which is revolutionizing the software development lifecycle. From AI-assisted data modeling to AI-powered applications, he explains how the fusion of AI and low-code creates a productivity leap that enables enterprises to innovate faster and more efficiently. But innovation doesn't come without challenges. Governance, security, and upskilling remain critical to unlocking the potential of low-code while mitigating risks. The conversation also touches on the increasing collaboration between IT and business teams, as organizations adopt fusion team models to harness the full spectrum of talent. Hans offers practical advice on addressing knowledge gaps, building cross-functional teams, and creating sustainable digital transformation strategies. We'll also discuss Mendix's latest research findings, which highlight the growing influence of non-technical C-suite executives in low-code adoption and the importance of regulatory compliance frameworks in reducing risks. With AI and low-code seen as key drivers of future enterprise growth, this discussion provides a compelling look at how technology can transform business processes from the ground up. What are your thoughts on low-code and its role in shaping the future of digital transformation? Could this be the game-changer your business needs? Tune in and let us know what you think!

Guest post by José Carlos Pereira, Director of Noesis' Low Code Solutions business unit. The software development world already went through several evolutions since it all started with Ada Lovelace or John Backus and it is now undergoing one more shift, where low-code platforms are not just emerging alternatives, but they're shaping up to enhance or even replace traditional coding. This transformation is accelerating at such a rapid pace that it's no longer a question of if low-code will dominate, but when. According to Gartner, by 2025, 70% of all new applications will be developed using (by any means) low-code platforms. As enterprises confront tighter budgets, talent shortages, and the need for faster digital transformation, the low-code revolution is not just a possibility, it's inevitable. Revolution Over Evolution Traditional coding once drove technological innovation, but platforms like OutSystems, Appian, and Microsoft Power Platform are redefining that landscape. These low-code platforms enable businesses to tackle complex challenges with unprecedented speed and efficiency. Ryan Cunningham, Vice President of Power Apps at Microsoft, highlights this shift, stating that "Power Platform is dramatically accelerating the pace of digital transformation by making it feasible to address the thousands of processes inside organizations that have traditionally been overlooked by custom software." This shows how low-code is not merely supplementing traditional development but revolutionising areas that were previously considered too complex. Low-code doesn't just supplement traditional development; it's transforming how businesses can innovate. Complex, large-scale projects that once took several months to build can now be delivered in weeks, making low-code the driving force behind today's rapid technological evolution. AI + Low Code: The Ultimate Combination The future of low-code is being supercharged by the integration of AI, transforming how applications are developed and deployed. Tiago Azevedo, CIO of OutSystems predicts that "By 2028, 75% of enterprise software engineers will use AI coding assistants." illustrating the rapid shift in development practices. The combination of low-code and generative AI is expected to reduce repetitive tasks, alleviate developer burnout, and enable teams to experiment freely, all while maintaining privacy and security . This powerful blend allows businesses to build and deploy applications at unprecedented speed and with greater flexibility. AI's ability to automate coding tasks enhances the efficiency of low-code platforms, making them even more accessible for non-experienced developers while helping seasoned developers to produce even more and to focus on strategic aspects and high-value projects that can bring even more added value to the businesses and customers. Together, AI and low-code are reshaping the landscape of software development, driving faster innovation and productivity. Democratisation of Software Development Low-code platforms are revolutionising software development by enabling non-developers like business analysts, to help building applications without needing previous coding expertise. This shift empowers those closest to business challenges to directly contribute to solutions. As Satya Nadella, CEO of Microsoft, highlighted, Power Platform has become "the leading business process automation and productivity suite for domain experts", allowing innovation across industries. Platforms like OutSystems and Appian also make app development accessible, providing intuitive visual tools and built-in safeguards to ensure quality. This democratisation fosters faster innovation, reduces the dependency only on IT teams, and encourages collaboration between technical and non-technical staff. Rethinking Legacy Systems Legacy systems have long been a significant obstacle for businesses attempting digital transformation. These older infrastructures, often custom-built over decades...

As we continue to focus more and more on efficiency and wasting less time the more prevalent No Code and Low Code Platforms become enticing. In today's episode I am going to go over how you can use these types of platforms, and look at some of the ones that exist for different purposes. Also, North Korea and Russia are joining forces to fight Ukraine, and we talk about Tagging in Instagram. Enjoy! Join the Age of Radio Discord | https://discord.gg/EeamD8WcjN Follow me on Goodpods https://goodpods.app.link/usUyBZzhuNb Free Financial Consultation: https://forms.gle/B6nNZ2FbxbhESCHg9 Red Wizard Gaming Society: https://discord.gg/9D43EszdUB This Weeks Links: No Links DM if you are interested in Life Insurance! If you or someone you know has been struggling or in crisis please call or text 988 or chat 988lifeline.org

Send me a Text Message hereFULL SHOW NOTES https://podcast.nz365guy.com/620  Emma-Claire Shaw, a dynamic low-code product manager and consultant at Defra in the UK, brings her vibrant personality to our latest discussion. With a bustling family life, including two young daughters and a dog, Emma balances her work with a passion for social activities such as music festivals and fitness through early morning gym sessions and trail running. Her intriguing relationship with food reveals a chocoholic side matched with a deep interest in nutrition and a primarily plant-based diet. We unravel her insights into the latest gut health trends, where she shares her experiences with nutrition and I reveal my experiments with Celtic salt for weight management.Our conversation takes a fascinating twist into the world of Microsoft Power Platform, as Emma shares her journey of implementing transformative low-code solutions in government operations. Her experiences highlight the impact of Power Apps in streamlining processes such as fleet vehicle logs and port inspections at Defra, showcasing the potential for increased efficiency in the public sector. We also reflect on the significant role of Microsoft 365 and the evolution of tech adoption in government, sharing compelling stories from around the world, including innovative uses of similar technology in container inspections in Australia.As we round off our episode, we dive into the digital transformation efforts of environmental agencies in the UK, focusing on initiatives like the Environment Agency's efficient fishing rod license verification via Power App. Emma discusses the ongoing challenges with offline data access in remote areas and shares strategies that have been successfully deployed elsewhere, such as in Western Australia. We also delve into Natural England's modernization of its licensing schemes, marking a shift from paper-based forms to a centralized digital platform, reflecting a broader move towards operational efficiency and innovation in government processes. Join us for this captivating narrative that weaves together technology, lifestyle, and wellness.90 Day Mentoring Challenge 10% off code use MBAP at checkout https://ako.nz365guy.comSupport the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

Low-code and no-code platforms are revolutionising application development by empowering technical and non-technical users to quickly and efficiently build powerful applications. These platforms provide intuitive visual interfaces and pre-built templates that enable users to create complex workflows, automate processes, and deploy applications without writing extensive lines of code. By simplifying development, low-code and no-code tools open up software creation to a wider range of contributors, from professional developers looking to accelerate delivery times to business users aiming to solve specific problems independently. This democratisation of development reduces the demand for IT resources and fosters a culture of innovation and agility within organisations.The impact of low-code and no-code technology extends beyond just speed and accessibility; it's transforming how businesses adapt to change and scale their digital solutions. These platforms allow companies to quickly respond to evolving customer needs, regulatory requirements, and competitive pressures without the lengthy timelines associated with traditional development cycles. In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to Michael West, Analyst at Lionfish Tech Advisors about LCNC platforms and their benefits. Key Takeaways:Low-code and no-code platforms enable business solutions without coding.These platforms broaden the developer base to include non-technical users.Choosing the right platform involves considering functionality, standards, and vendor viability.Low-code platforms can handle enterprise-level applications effectively.AI integration is transforming how applications are developed.Democratisation of development addresses the shortage of professional developers.The market for low-code and no-code platforms is rapidly evolving.Future trends will focus on AI capabilities and user experience.Chapters: 00:00 Introduction to Low-Code and No-Code Platforms02:59 The Evolution of Development Roles05:49 Key Considerations for Adopting LCNC Tools09:04 Democratizing Development and Innovation11:59 Future Trends in Low-Code and No-Code Markets

Keri Olson (@ksolson20, VP AI for Code at @IBM) talks about coding assistants across the software development lifecycle, the future of agents, and domain-specific assistants.SHOW: 869SHOW TRANSCRIPT: The Cloudcast #869 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS" SHOW SPONSOR:While data may be shaping our world, Data Citizens Dialogues is shaping the conversationFollow Data Citizens Dialogues on Apple, Spotify, YouTube, or wherever you get your podcastsSHOW NOTES:IBM Watsonx Code Assistant (homepage)IBM Watsonx Code Assistant for Ansible Lightspeed (homepage)IBM Watsonx Code Assistant for Z (homepage)Topic 1 - Welcome to the show. Tell us about your background, and then give us a little bit of background on where you focus your time at IBM these days?Topic 2 - Developer code assistants have become one of the most popular areas of GenAI usage. At a high level, how mature are the technologies that augment developers today? Topic 3 - Software development has an entire lifecycle (Generate, Complete, Explain, Test, Transform, Document). It's easy for developers to just plug in a service, but is that often the most effective way to start using GenAI in the software development lifecycle? Topic 4 - Software developers are notoriously picky about what tools they use and how they use them. GenAI doesn't “guarantee” outputs. Are there concerns that if different developers or groups use different coding assistants, that it could create more challenges than it helps? Topic 5 - What is a holistic way to think about code assistants? How much should be actively engaged with developers, how much should be behind the scenes, how much will be automated or agentic in the future? Topic 6 - In the past, we essentially had “real developers” (people who wrote code) and things like Low-Code for “citizen developers” on process tasks. Do you expect to see code assistants bringing more powerful skills to people that previously hadn't identified as a real developer? (e.g. the great idea on a napkin that turns into a mobile app)FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Synera is the leading low-code platform for Connected Engineering, enabling full automation and algorithm-based process modeling. It integrates all data and expert knowledge into the development process, providing engineers with technical capabilities that are usually only available to software developers. Based in Bremen, North Germany, Synera supports international firms across a wide range of industries, including the automotive, aerospace, and consumer goods sectors. Would you like to learn more about Connected Engineering with Synera's low-code platform? ONLINE PRESENCE ================

Il y a 3 ans, dans l'épisode #104 je recevais Thomas Villaren. 3 ans plus tard, nous faisons une refacto de l'épisode !**DotAI 2024 : Une conférence conçue par des ingénieurs, pour des ingénieurs** Ne manquez pas dotAI 2024, l'événement incontournable de l'année sur l'intelligence artificielle, les 17 et 18 octobre aux Folies Bergère de Paris. Profitez d'une réduction exclusive avec le code IFTTD lors de votre inscription. Inscrivez-vous dès maintenant avant que les places ne soient sold out ! Réservez votre place ici🎙️ Soutenez le podcast If This Then Dev ! 🎙️ Chaque contribution aide à maintenir et améliorer nos épisodes. Cliquez ici pour nous soutenir sur Tipeee 🙏Archives | Site | Boutique | TikTok | Discord | Twitter | LinkedIn | Instagram | Youtube | Twitch | Job Board |

 In this session, Rudolf Groetz shares how Raiffeisen Bank International adapted its test automation strategy to incorporate a low-code approach. Discover how to transform from a traditional model to a more inclusive, agile approach. Try Low-code yourself now w/BrowserStack: https://testguild.me/lowcode Listen in to discover: The Challenges and motivations behind transitioning to a low-code strategy. Understand the steps to evaluate and select the appropriate low-code tools. See how non-technical users were empowered to participate in test automation. Observe the proof of concept results and how they impressed stakeholders. Hear the inspiring story of a biomedical intern discovering a passion for software development through this process.  

Swimlane and GenAI Join Swimlane CISO, Mike Lyborg and Security Weekly's Mandy Logan as they cut through the AI peanut butter! While Generative AI is the not-so-new hot topic, it's also not the first time the cybersecurity industry has embraced emerging technology that can mimic human actions. Security automation and its ability to take action on behalf of humans have paved the way for generative AI to be trusted (within reason). The convergence and maturity of these technologies now have the potential to revolutionize how SecOps functions while force-multiplying SOC teams. This segment is sponsored by Swimlane. Visit https://securityweekly.com/swimlanebh to learn more about them! Swimlane and ProCircular ProCircular, is a security automaton power-user and AI early adopter. Hear from Swimlane customer, Brandon Potter, CTO at ProCircular, about how use of Swimlane, has helped his organization increase efficiency, improve security metrics and ultimately grow their customer base without increasing headcount. Segment Resources: ProCircular Case Study ProCircular Web Site This segment is sponsored by Swimlane. Visit https://securityweekly.com/swimlanebh to learn more about them! Show Notes: https://securityweekly.com/esw-373

Ray Deck, a seasoned data scientist and founder of State Change AI, talks about the evolving landscape of software development with the rise of no code and low code platforms. He explains how these tools are not just for non-technical founders but also offer significant advantages to experienced developers. The episode explores the practical applications of no code tools in business and how they can lead to faster, more efficient product development.Show Notes00:00 - Introduction to the episode and guest Ray Deck01:02 - Ray's background in data science and founding State Change AI03:01 - The concept of no code and low code and their impact on accessibility07:06 - Choosing between no code, low code, and traditional coding09:12 - Pitching no code tools to developers14:01 - When to use no code vs. custom developmentOutSystemsMendixXanoFlutter FlowWeWebWebflow24:06 - Automation as a critical component of no code solutionsZapierBuildShipFastGen32:00 - Discussing State Change AI's role in the no code ecosystemBubble39:27 - Picks and PlugsJames's Pick: Powerstep Inserts - High-quality shoe inserts for added comfort.James's Plug: Learn Build Teach Community - A Discord community for developersBekah's Pick: Flux Footwear - Zero drop shoes ideal for walking, weightlifting, and runningBekah's Plug: 29 Days of Open Source Series on Dev.to - Highlighting open-source alternatives to proprietary software.Ray's Pick: Ollama - Open-source platform for running large language models locally.Ray's Plug: State Change AI YouTube Channel - Focusing on the hardest projects in no code and low code.

How can a low-code solution help you deliver a .NET app? Carl and Richard talk with Serge Sarafudinov about his Xomega project. Serge describes how Xomega uses models and templates to generate .NET code for applications for Blazor clients, WPF, and even ASP.NET Forms and TypeScript! The conversation also digs into rehabilitating existing .NET applications where new features can be added with Xomega, and then gradually convert the existing application into the model approach - and then you can change out the client if you like! There are free and paid versions of Xomega; take it out for a spin and see if you can't deliver solutions faster!

This week on No Priors, Sarah Guo and Elad Gil are joined by Howie Liu, the co-founder and CEO of Airtable. Howie discusses their Cobuilder launch, the evolution of Airtable from a simple productivity tool to an enterprise app platform with integrated AI capabilities. They talk about why the conventional wisdom of “app not platform” can be wrong,  why there's a future for low-code in the age of AI and code generation, and where enterprises need help adopting AI. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Howietl Show Notes:  (00:00) Introduction (00:29) The Origin and Evolution of Airtable (02:31) Challenges and Successes in Building Airtable (06:09) Airtable's Transition to Enterprise Solutions (09:44) Insights on Product Management (16:23) Integrating AI into Airtable (21:55) The Future of No Code and AI (30:30) Workshops and Training for AI Adoption (36:28) The Role of Code Generation in No Code Platforms

Join us as David Marom, Head of Panoply Business, explores the benefits of all-in-one data platforms. Learn how tech stack consolidation boosts efficiency, improves data accuracy, and cuts costs. David shares insights on overcoming common challenges, enhancing data governance, and success stories from organizations thriving with Panoply.   Sponsors Arctic Wolf Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months   References Connect and analyze ALL of your data https://panoply.io/ https://blog.panoply.io/raw-data-to-dashboards-in-just-10-steps https://blog.panoply.io/understanding-etl-extract-transform-and-load-data-to-boost-your-business-intelligence

How can enterprises effectively manage the rapid growth of low-code platforms while balancing innovation and governance? In this episode, we sit down with Nick Ford, Chief Growth Officer at Mendix, to delve into the transformative potential and challenges of low-code development in modern enterprises. As the global low-code platform market is projected to grow significantly, with developers outside formal IT departments becoming the majority, the conversation couldn't be more timely. Nick shares his insights on how enterprises can leverage low-code platforms to accelerate digital transformation while maintaining the necessary oversight to prevent the pitfalls of unchecked development. With bottom-up development presenting risks like duplicated functions and inconsistent workflows, it's crucial to establish strong governance and policy alignment to ensure security and compliance. Key discussion points include the four essential elements for a successful multi-platform strategy: oversight, curation, governance, and policy management. Nick emphasizes the importance of understanding the software's value to the business and its potential for reuse across departments. By investing in long-term governance and establishing robust workflows, enterprises can achieve a faster, more sustainable low-code adoption. We also explore the role of fusion teams in the low-code ecosystem, combining the expertise of citizen developers, business technologists, and professional developers to create a collaborative environment that addresses specific needs while ensuring reusability and best practices.

Highlights from this week's conversation include:Introducing a special edition of the show with the cynical data guy (0:19)Metadata and LLMs (2:32)Data-driven culture (8:44)No-code orchestration tools (17:09)No Code vs. Low Code (19:58)Enterprise Challenges with No Code Solutions (20:08)No Code Tools for Small Companies (21:40)Inappropriate Use of Tools (23:06)Final thoughts and takeaways (24:05)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

No code tools have opened opportunities up for innovators, and especially for non-technical founders. But, they have their limits, and not everybody thinks that they're a great idea. Listen to this episode to learn what the No Code revolution is and when No code tools are a must have, and when they should be avoided. In this episode you will learn: Why successful wealthy corporates choose to use No Code tools instead of building custom software When a start-up founder should use No Code tools, and when to avoid them What No Code tools to use to build an app or an e-learning business Why investors are wary of No Code tools   Listen here on Apple Listen here on Spotify --  To discuss a corporate training program for your organisation, book a consultation call here.  Happy clients include The Royal Bank of Scotland, Oxford University and Constellation Brands.  ---  We love hearing from our readers and listeners. So if you have questions about the content or working with us, just get in touch on info@techfornontechies.co   Say hi to Sophia on Twitter and follow her on LinkedIn. Following us on YouTube, Facebook, Instagram and TikTok will make you smarter. 

This week's guest on Uncharted Podcast with Poya Osgouei is Fabian Veit, the CEO at Make. Fabian joined the leadership team of Make in 2020 after the business was acquired by Celonis, a leading process mining platform and execution management software. Before Make, Fabian held various roles at Celonis, from Data Scientist to VP Operations and People COO, spearheading the organization's growth operations and team development from a small team of just twenty individuals to a thriving organization with over 1,000 employees --- Support this podcast: https://podcasters.spotify.com/pod/show/uncharted1/support