AI InterConnect Podcast

Laurent Cochet
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Invite Leaders in Businesses from Proptech to B2B and Technology to AI AI Interconnect Podcast is where the next generation of business builders, Proptech pioneers, and AI-native entrepreneurs come to share raw insights, real struggles, and breakthrough ideas. Hosted by Laurent, a Proptech operator turned AI agency founder, this show isn’t another hype machine — it’s a deep-dive into what’s actually working in the trenches of real estate tech, logistics, automation, and AI adoption.

  1. Operational AI Governance Explained | Mario Cantin CEO of Prodago

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    Operational AI Governance Explained | Mario Cantin CEO of Prodago

    In this episode of the AI Interconnect podcast, host Laurent Cochet sits down with Mario Cantin, CEO and Chief Data Strategist at Prodago, to discuss the challenges and misconceptions surrounding AI governance. They explore how organizations can move from theoretical frameworks to practical, operational governance, and the importance of aligning data management with business objectives. Mario shares insights on the differences in governance approaches between startups and large enterprises, and the critical role of accountability in building AI-driven products.Timestamps: 0:01 - Introduction to AI Interconnect Podcast0:29 - Introduction of Mario Cantin and Prodago1:21 - Mario's background and journey into data strategy4:25 - Challenges in translating governance frameworks into action8:53 - Misconceptions about AI governance and compliance16:16 - Differences in governance approaches between startups and large enterprises22:15 - Preparing for the next wave of AI regulation29:53 - Industry improvements needed for AI governance34:17 - Advice for companies building AI-driven products36:17 - Closing remarks and where to find Mario Cantin AI Governance Data StrategyComplianceBusiness ObjectivesAccountabilityOperational GovernanceAI RegulationData Management Business-Driven Data Management: Organizations should align data management with business objectives rather than treating it as a foundational capability.AI Governance Misconceptions: Companies often misunderstand AI governance, failing to differentiate between governing AI use, development, and procurement.Startup vs. Enterprise Governance: Startups and large enterprises approach governance differently, with startups often being more agile.Accountability in AI Development: Establishing clear accountability is crucial for successful AI governance and product development.Agility Over Structure: Organizations should focus on creating agile governance mechanisms to adapt to the fast-paced changes in AI technology.Keywords:Insights:AI governance, data governance platform, AI governance platform, responsible AI, enterprise AI governance, AI compliance, governance automation, compliance automation, data governance software, AI regulation, governance workflows, enterprise compliance systems, AI risk management, governance platform, responsible AI systems Tags Mario Cantin, Prodago, AI governance, enterprise governance, data governance, AI compliance, responsible AI, governance software, AI regulation, compliance automation, enterprise AI

    38 min
  2. How Marc Schillinger Is Automating Receivables with eCollect AI

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    How Marc Schillinger Is Automating Receivables with eCollect AI

    In this episode, Laurent Cochet interviews Mark Schillinger, CEO of eCollect, about building a digital receivables management platform across Europe. They discuss the challenges of cross-border financial regulation, AI integration in collections, and lessons from scaling a fintech within a large corporation. key topics Building a pan-European receivables platform Challenges of legal and operational diversity in Europe AI and automation in debt collection Scaling a fintech within a large corporation Lessons from selling a startup to Intrum guest name Mark Schillinger Titles How eCollect Transformed European Receivables Management with AI Scaling Fintech: Lessons from eCollect's Journey sound bites "20 years in receivables is quite a journey" "Building a platform that adapts to European legal diversity" "Collection industry is still very national and analog" Chapters 00:00 Introduction to AI Interconnect and Guest Introduction 01:04 eCollect's Business Model and Geographic Footprint 01:50 Marc Schillinger's Background in Financial Services 02:51 Motivation Behind Building eCollect 03:50 Technical and Operational Challenges in Europe 06:50 Target Clients and Value Proposition 08:18 Early Stage vs Large Organization Focus 12:07 Impact of Intrum Acquisition on Scaling 16:00 Industry Underappreciation and Digitalization Gaps 18:00 Current Collection Industry Challenges 20:20 Role of AI in Future Collections 25:55 Lessons for Founders and Scaling Strategies 28:13 Advice to Younger Self and Entrepreneurial Mindset 31:08 Closing Remarks and Contact Information keywords fintech, receivables management, AI in collections, European financial regulation, startup scaling, digital payments, invoice to cash, B2B fintech, intrum, eCollect, Marc Schillinger, eCollect, receivables management, accounts receivable automation, digital collections platform, fintech receivables technology, invoice to cash automation, payment collections software, AI in receivables management, debt collection technology, accounts receivable SaaS, financial automation platforms, payment recovery systems, cross border payment collections, fintech automation Europe, B2B collections platform, digital debt recovery, receivables infrastructure fintech, AI financial operations, AI fintech solutions, financial workflow automation, invoice processing automation, payment orchestration systems, receivables analytics platform, fintech innovation Europe, AI InterConnect podcast, Marc Schillinger interview, eCollect fintech platform Hashtag Block (40–50 Hashtags) #AIInterConnect #Podcast #MarcSchillinger #eCollect #AIInterConnectPodcast #Fintech #AIinFintech #FinancialAutomation #ReceivablesManagement #AccountsReceivable #InvoiceToCash #PaymentAutomation #FintechInnovation #FinancialInfrastructure #DebtCollectionTech #ReceivablesAutomation #FinancialOperations #B2BFintech #PaymentTechnology #AutomationSystems #DigitalFinance #FinanceTechnology #FintechPlatform #SaaSFintech #AIinBusiness #AIinPayments #FintechStrategy #EntrepreneurPodcast #FounderStories #StartupLeadership #TechFounders #BusinessInnovation #FintechEurope #EuropeanFintech #StartupInnovation #FutureOfFinance #AutomationEconomy #AIEntrepreneurs #DigitalTransformation #TechLeadership #B2BSoftware #FinanceAutomation #FintechInsights Optimized Video Description (120–150 Words) Marc Schillinger, Co-Founder and CEO of eCollect, joins AI InterConnect to explain how automation and AI are transforming receivables management and financial operations. In this conversation, Marc shares how eCollect helps companies streamline invoice-to-cash processes, improve payment recovery, and modernize outdated collections workflows. Laurent and Marc explore the operational challenges companies face when managing receivables at scale, the role of automation in financial infrastructure, and how fintech platforms like eCollect are building more efficient payment systems for modern businesses.

    32 min
  3. AI, Quant Trading, and the Future of Investing | Alessandro Greco | Sigma Strategy

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    AI, Quant Trading, and the Future of Investing | Alessandro Greco | Sigma Strategy

    In this episode, Laurent Cochet interviews Alessandro Greco, founder of Sigma Strategy, about the intersection of AI and financial markets. They explore how AI is transforming trading infrastructure, democratizing market insights for retail investors, and the future of AI-driven trading systems. key topics AI's impact on financial markets Sigma Strategy and retail investor tools Reinforcement learning for systematic trading Market infrastructure and risk management Future of AI in trading and finance Titles AI and the Future of Trading: Insights from Alessandro Greco Democratizing Finance: How AI Empowers Retail Investors sound bites "Understanding how markets actually work." "AI will be a game-changer in trading." "Markets will always need human oversight." Chapters 00:00 Introduction to AI Interconnect and Guest Background 02:05 Alessandro Greco's Journey into Financial Markets 05:23 The Vision Behind Sigma Strategy and Personal Trader 08:47 Understanding Personal Trader's Role for Retail Investors 11:18 Future Aspirations for Personal Trader and AI in Trading 16:27 Technical Challenges in Building AI Trading Systems 19:40 The Future of Autonomous Trading Systems 22:52 Entrepreneurial Challenges in FinTech 26:00 Insights from Investor Interactions 27:32 The Impact of AI on Financial Markets 30:50 Advice for Aspiring FinTech Entrepreneurs 33:04 Long-term Vision for Sigma Strategy guest links LinkedIn - https://www.linkedin.com/in/alessandro-greco777/ keywords AI, FinTech, Quantitative Trading, Financial Markets, Retail Investors, Risk Management, Portfolio Intelligence, Reinforcement Learning, B2B Solutions, Market Disruption, AI in finance, AI investing tools, quant trading AI, quantitative finance systems, AI financial analytics, fintech innovation, trading infrastructure AI, reinforcement learning trading, financial market AI, algorithmic trading AI, crypto trading infrastructure, fintech founder insights, AI investment platform, retail investor AI tools, fintech podcast, AI market intelligence, automated trading technology, financial technology innovation, next generation fintech platforms, AI powered investing tools, digital finance infrastructure, investor AI assistant YouTube tags AI finance, quant trading, fintech AI, AI trading systems, algorithmic trading AI, fintech podcast, trading infrastructure, financial AI systems, reinforcement learning trading, crypto trading technology, fintech founder podcast, AI investing tools, quantitative finance podcast, trading technology innovation, AI interconnect podcast In this episode of AI InterConnect, Laurent speaks with Alessandro Greco, founder of Sigma Strategy and creator of the AI powered platform Personal Trader. Alessandro previously worked in quantitative trading environments including BlackRock and Binance, where he built and analyzed complex financial infrastructure and market intelligence systems. Today he is building technology that brings advanced financial insights to both professional traders and everyday investors. During this conversation Alessandro explains why financial markets are fundamentally infrastructure driven and how artificial intelligence can help investors interpret complex market signals. He shares the story behind Personal Trader, a platform designed to help retail investors understand market movements through AI. The discussion also explores reinforcement learning in trading systems, the evolution of fintech infrastructure, and how the next generation of investors interacts with financial technology.

    36 min
  4. The Future of Fan Engagement and Sports Monetization – Patrick McGuire, Fanatixx

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    The Future of Fan Engagement and Sports Monetization – Patrick McGuire, Fanatixx

    In this episode, Patrick McGuire shares his entrepreneurial journey, insights into sports tech, fan engagement, and strategies for founders to succeed. Discover how data, AI, and strategic planning are transforming the future of sports and startup growth. key topics The evolution of fan engagement and monetization Strategic planning and exit strategies for founders The role of AI and data in sports technology Challenges and trust-building in introducing new platforms Resilience and routines for entrepreneurs key frameworks Exit Planning from Day One Fan Data Enrichment and Retargeting AI as a Tool for Engagement and Outreach action items Plan your company's exit strategy from the beginning. Focus on data and AI to enhance fan engagement. Implement routine and resilience practices for entrepreneurial success. Use targeted outreach to build investor relationships. Titles From Fan Engagement to Revenue: Patrick McGuire's Sports Tech Journey Strategic Planning for Startups: Insights from Patrick McGuire sound bites "Plan for three, five, ten years ahead" "Trust is key to introducing new tech" "Focus faster, go deeper, and execute" Chapters 00:00 Introduction to Patrick McGuire and the Podcast 01:17 Patrick's Entrepreneurial Background and Influences 02:56 Early Business Ventures and Passion for Sports 04:02 Success Factors for Building Companies 06:49 Planning for Exit from the Start 07:31 Turning Fan Engagement into Revenue 11:35 Next Revenue Opportunities in Sports 15:13 Challenges in Building Fanatics 17:12 Introducing New Technology to Sports Teams 19:39 Resilience and Routine in Entrepreneurship 23:46 Inspiration Behind Empowered Entrepreneur 24:33 Fundraising Tips for Founders 26:42 Using AI to Influence Sports and Fan Engagement 29:49 Future of Technology in Sports Engagement 33:42 Advice to Self at the Start of Journey 34:25 The Power of Persistence and Focus 35:22 Final Advice for Founders and Entrepreneurs 36:30 Connecting with Patrick McGuire 37:32 Closing Remarks and Next Steps guest links LinkedIn - https://www.linkedin.com/in/mcguirep/ keywords sports tech, fan engagement, entrepreneurship, data-driven sports, startup strategies, AI in sports, founder growth, revenue models, exit planning, Patrick McGuire, Fanatixx, fan engagement platform, sports fan engagement, sports monetization strategy, sports analytics platform, sports technology startup, fan data analytics, sports sponsorship ROI, sports marketing technology, fan experience platform, sports tech founder, sports innovation platform, sports fan loyalty programs, sports technology trends, sports marketing innovation, fan engagement software, sports business technology, sports startup founder, sports analytics software, sports sponsorship activation, sports industry innovation, founder entrepreneurship podcast, startup growth strategy, sports digital transformation YouTube Tags Patrick McGuire, Fanatixx, sports tech, fan engagement, sports monetization, sports business, sports analytics, sports marketing, sports technology startup, founder interview, startup founder story, sports industry innovation, sports sponsorship, sports fan data, sports digital marketing, sports engagement platform, fan analytics, sports tech founder, startup growth strategy, AI in sports, sports marketing strategy Hashtags #FanEngagement, #SportsTech, #Fanatixx, #SportsBusiness, #SportsAnalytics, #StartupFounder, #Entrepreneurship, #AIInterConnect, #SportsInnovation, #SportsTechnology

    41 min
  5. From SAP Systems to AI Agents: The Next Enterprise Revolution | Arinndam Das

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    From SAP Systems to AI Agents: The Next Enterprise Revolution | Arinndam Das

    In this episode, Arinndam Das shares his extensive journey across industries, the mission of Vorstel and insights into AI-driven digital transformation and agent AI. Discover how his experience shapes innovative solutions for future-proof businesses. key topics Arinndam Das's career journey across industries Vorstel's mission and values The role of AI and agent AI in business Challenges and strategies in digital transformation action items Explore AI solutions with a focus on proactive and autonomous capabilities Invest in change management and workforce training for AI adoption Develop a risk mitigation strategy for AI implementation Titles From Banking to AI Innovation: Arinndam Das's 20-Year Journey How Vorstel is Shaping the Future of AI-Driven Business Solutions sound bites "Autonomy is the next step in enterprise AI" "Removing hallucinations is key to effective AI" "Jobs will evolve, not disappear, with AI" Chapters 00:00 Introduction to the Podcast and Guest 01:21 Arinndam Das's Career Journey and Industry Experience 07:31 Vorstel's Mission and Core Values 09:18 The Importance of AI and Agent AI for Business 12:01 Innovations in AI and Use Cases in Business 15:38 Proactive AI Solutions and Self-Healing Supply Chains 17:27 Challenges in Digital Transformation and AI Hallucinations 20:52 Leadership, Change Management, and Workforce Impact 25:54 Forestal's Vision and Future Goals 28:26 Advice for Industry Leaders on AI Adoption 31:09 Closing Remarks and Contact Information guest links LinkedIn - https://www.linkedin.com/in/arindamdas01/ keywords AI, digital transformation, agent AI, entrepreneurship, enterprise software, innovation, leadership, future of industry, AI, digital transformation, agent AI, entrepreneurship, enterprise software, innovation, leadership, future of industry, agent ai, enterprise ai, sap ai integration, enterprise automation, digital transformation strategy, ai agents enterprise software, ai transformation consulting, ai supply chain automation, sap business technology platform ai, rag ai framework enterprise, ai consulting europe, enterprise ai systems, ai strategy for companies, ai transformation podcast, ai leadership mindset, autonomous enterprise systems, ai innovation companies, ai implementation strategy, digital transformation mistakes, ai enterprise architecture Hashtags AI, AgentAI, EnterpriseAI, DigitalTransformation, SAP, AIInnovation, BusinessAutomation, AILeadership, AIConsulting Short Hook for Social Media Enterprise AI is shifting from automation to autonomy. In this conversation, Arinndam Das explains how agent AI will transform enterprise systems and why leadership mindset is the real barrier to AI adoption.

    37 min
  6. Revolutionizing Document AI: Knowledge Graphs, Automation & AI Infrastructure 2026

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    Revolutionizing Document AI: Knowledge Graphs, Automation & AI Infrastructure 2026

    “Transforming Document AI with Knowledge Graphs, Automation, and Structured Data. Hassan Alam shares how domain-specific models boost AI performance and security.” #aiinterconnect #podcast #entrepreneurship In this episode, Hassan Alam, CEO of AI Asset Management, shares deep insights into how Document AI is revolutionizing the way organizations extract and manage data. With the rise of structured data, domain-specific models, and knowledge graphs, AI systems are becoming faster, more accurate, and more secure.Learn how implementing knowledge graphs can enhance context management, reduce errors, and improve AI performance. Hassan also explains how focusing on the 80-20 of document processing tasks can save time and resources while maximizing results. Explore the importance of automation, minimizing manual labeling, and building robust AI infrastructure that supports edge solutions.Whether you’re an AI practitioner, data engineer, or business leader, this episode offers actionable strategies for leveraging AI safely and efficiently. Discover how to spot warning signs like hallucinations in AI, the role of team collaboration in long-term success, and why domain-specific models are essential for high-performing Document AI.Key Highlights:▫️How knowledge graphs structure and contextualize complex data▫️Benefits of domain-specific models for AI accuracy and security▫️Prioritizing automation to reduce manual work▫️Identifying and addressing hallucinations in AI systems▫️Strategies to focus on the most impactful tasks in document workflows▫️Building secure, scalable AI infrastructure for the futureSound Bites:"Secure documents enable edge AI solutions.""Hallucinations are a key warning sign in AI.""Cherish your team for long-term success.Chapters00:00 Introduction to Hassan Alam and AI Asset Management01:17 Hassan's background in data engineering and regulated environments02:24 The significance of document AI and quality of data03:09 Challenges with context rot and information extraction04:00 Limitations of general models and domain-specific solutions05:07 Research collaborations with Cambridge and MIT05:53 Explaining AI Asset Management to outsiders06:52 Securing private documents and enabling edge AI08:01 Encoding information in documents for better AI understanding09:14 Reconstructing documents as knowledge graphs10:17 Limitations of simple document uploads and context confusion11:11 Building flexible AI pipelines with knowledge graphs11:44 Signs of AI system failure: hallucinations and context rot12:34 Automating document processing and reducing manual labeling13:35 Tracking AI infrastructure progress and efficiency14:45 Future of Document AI and automation15:14 Emerging trends in Document AI technology16:16 Goals for AI Asset Management in 12-18 months17:03 Next capabilities Hassan is excited to develop17:47 Current focus and constraints in AI development18:38 Accelerating AI across multiple domains19:19 Lessons for organizations implementing AI systems20:38 Technical habits for AI success21:39 Advice for early-stage AI founders22:21 Daily tools and technologies22:34 Predictions for AI in the next five years22:46 Reflections on building AI companies22:59 Where to follow Hassan Alam and AI Asset Management keywordsAI Asset Management, Document AI, Knowledge Graphs, Data Extraction, AI Infrastructure, Language Models, Enterprise AI, AI Security, Domain-Specific Models #DocumentAI #KnowledgeGraphs #AIInfrastructure #DataExtraction #DomainSpecificAI #Automation #EdgeAI #StructuredData #AIInnovation #HassanAlam #AIML #DigitalTransformation #AIInsights #ArtificialIntelligence #MachineLearning #DataManagement #EnterpriseAI #AIForBusiness #DataScience #SmartAutomation #IntelligentSystems #AIApplications #AITrends #FutureOfAI

    31 min
  7. Inside the Payment Processing Industry with Fintech Leader Allen Kopelman 2026

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    Inside the Payment Processing Industry with Fintech Leader Allen Kopelman 2026

    Payment Processing, Fintech Innovation, and Merchant Services Explained.Discover how AI, fintech infrastructure, and embedded payments are transforming the digital economy. #aiinterconnect #podcast #entrepreneurship In this episode of AI InterConnect, Allen Kopelman, Founder and CEO of Nationwide Payment Systems, shares powerful insights into the complex world of payment processing, fintech infrastructure, and merchant services.With more than 25 years of experience in the payments industry, Allen explains how merchant accounts work behind the scenes — including underwriting, chargebacks, fraud prevention, compliance, and payment infrastructure that businesses rely on every day.The conversation dives deep into how SaaS platforms, embedded payments, and fintech innovation are reshaping how companies accept and manage payments. Allen also discusses the growing influence of AI in payments, marketing, and online business discovery, and why successful founders must balance automation with real human customer support.Whether you are a startup founder, fintech entrepreneur, SaaS builder, or business owner, this episode offers practical insights, industry strategies, and real-world advice for navigating the evolving payments landscape.You’ll also learn how companies should choose the right payment partner, understand underwriting requirements, and stay compliant with evolving regulations.If you want to understand how modern payment infrastructure works and where the fintech industry is heading next, this episode provides a clear and honest perspective from one of the industry’s experienced leaders.🎧 Subscribe to AI InterConnect for conversations with founders, innovators, and experts shaping the future of technology, fintech, AI, and digital business.Key Topics Covered• The complexity of the payment processing industry• Evolution of fintech and SaaS payment integrations• Startup strategy for merchant services businesses• AI’s growing role in marketing and payments• Fraud prevention, compliance, and regulation challengesKey Insights from Allen Kopelman• “Identity theft and fraud are major challenges in payments.”• “Balance AI with human touch for better customer service.”• “Decide quickly and move forward to stay competitive.”Actionable Takeaways✔ Understand your payment partner’s underwriting criteria✔ Stay updated on fintech regulations and compliance rules✔ Use AI tools while maintaining human-centered customer serviceChapters00:00 Introduction to the Podcast and Guest00:59 Alan Kopelman's Background and Motivation03:39 Challenges in Entering the Payment Industry07:35 Technology and Innovation in Payment Processing11:20 Choosing Payment Partners and Underwriting14:21 Industry Trends and Future Outlook17:07 The Rise of Software in Merchant Services19:47 Future Plans for National World Payment Systems21:42 Educational Initiatives and Webinars23:42 Advice for Founders and Operators27:20 Lessons from Alan Kopelman's Career31:24 Closing Remarks and Resources guest linksLinkedIn -   / allenkopelman  keywordsFinTech, Payment Processing, Merchant Services, Industry Trends, SaaS, AI, Business Strategy, Allen Kopelman, Nationwide Payment Systems, merchant services, payment processing, fintech podcast, fintech innovation, payment infrastructure, embedded payments, SaaS payments, payment APIs, payment platforms, merchant account setup, chargeback management, fintech education, payment technology trends, fintech entrepreneurs, payment compliance, fintech growth strategies, business payments systems, Hashtag Block (40–50 Hashtags)#AIInterConnect#Podcast#AllenKopelman#NationwidePaymentSystems#FinTech#PaymentProcessing#MerchantServices#PaymentTechnology#DigitalPayments#EmbeddedPayments#SaaSPayments#PaymentInfrastructure#PaymentPlatforms#FinTechInnovation#PaymentAPIs#Entrepreneurship#FounderInsights#BusinessGrowth#Innovation#TechLeadership#StartupStrategy#DigitalBusiness#FinTechPodcast#PaymentI

    37 min
  8. Structuring E-commerce Data with AI: Cristian Orasanu & Naratix Insights 2026

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    Structuring E-commerce Data with AI: Cristian Orasanu & Naratix Insights 2026

    Cristian Orasanu of Naratix AI reveals how messy e-commerce data is holding businesses back. Discover AI strategies to structure product information, automate catalogs, and scale online marketplaces.” #aiinterconnect #podcast #entrepreneurship In this episode of AI InterConnect, Cristian Orasanu, co-founder of Naratix AI, takes us on his journey from cybersecurity to pioneering AI solutions for e-commerce. He dives deep into the hidden challenges of e-commerce data and explains why messy product information is one of the biggest obstacles marketplaces face today.✔️Learn how Naratix AI helps large marketplaces:▪️Structure product information for better accuracy and reliability▪️Automate catalog management to save time and reduce errors▪️Enhance product discovery across global e-commerce platforms▪️Solve data reliability problems at scaleCristian shares his insights on enterprise AI adoption, the rise of agentic commerce—where AI systems interact directly with marketplaces and supply chains—and the importance of data standardization as the foundation for AI-driven commerce.Key frameworks discussed:1. Data Standardization – Ensuring consistent, clean, and usable data for AI systems2. AI Adoption Strategies – How founders and enterprises can successfully integrate AI into complex operations3. Whether you’re a founder, data professional, or e-commerce leader, this conversation reveals actionable strategies to:Improve operational efficiencyUnlock AI-driven insightsScale AI solutions effectivelyKey sound bites from Cristian Orasanu:“Aggregating data from multiple sources is key.”“Internet data wasn’t built for AI, it’s messy.”“The future of AI is about data standardization.”If you’re curious about the future of AI in e-commerce, how to manage messy product data, or how AI can automate and optimize online marketplaces, this episode is a must-watch.Subscribe to AI InterConnect for weekly episodes with founders, innovators, and thought leaders shaping the future of AI, SaaS, fintech, and digital infrastructure.Chapters00:00 Introduction to AI Interconnect Podcast00:58 Cristian Orasanu's Journey to Naratix AI04:10 Understanding Naratix AI's Solutions06:42 Target Market and Clientele of Naratix07:40 Differentiating Naratix in the AI E-commerce Space11:47 Challenges in Scaling Naratix AI17:47 Navigating the Complexities of E-commerce Data20:06 The Future of AI in E-commerce22:28 Success Metrics for Naratix AI23:59 Strategic Choices and Market Positioning27:18 Advice for Founders and Operators31:13 Personal Insights and Reflections guest linksLinkedIn -   / cristian-orasanu-86a46362  ➤➤ 👍 If you enjoy this video, don't forget to like the video and subscribe to the channel.... Click the bell icon to get our regular videos and share with your friends if you like the video, and stay tuned to our channel 🫶🩷 keywordsAI, e-commerce, data management, Naratex, product catalogs, AI automation, supply chain, entrepreneurship, startup strategy, Cristian Orasanu, Naratix AI, ecommerce AI, product data automation, ecommerce infrastructure AI, marketplace data automation, ecommerce catalog automation, enterprise AI systems, #AIinEcommerce #EcommerceAI #DataStandardization #EnterpriseAI #ProductDataAutomation #NaratixAI #CristianOrasanu #AIFounders #DigitalTransformation #AIInterConnect #SupplyChainAI #AIAdoption #AgenticCommerce#AIInterConnect #Podcast #CristianOrasanu #NaratixAI#EcommerceAI #ArtificialIntelligence #SaaS #Automation #EnterpriseAI #MarketplaceTechnology #DataInfrastructure #AIinEcommerce #CatalogAutomation #ProductData #AIPlatforms #DigitalCommerce#StartupFounder #TechInnovation #BusinessGrowth #FutureOfCommerce #AIEntrepreneur #ScaleWithAI #EnterpriseSoftware #AIStartup #DigitalTransformation #AutomationTools #TechLeadership#GlobalTech #EuropeanStartups #AIInnovation #StartupEurope #AIIndustry #FutureOfAI #CommerceTechnology #AIInfrastructure #GlobalEcommerce

    38 min
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Información

Invite Leaders in Businesses from Proptech to B2B and Technology to AI AI Interconnect Podcast is where the next generation of business builders, Proptech pioneers, and AI-native entrepreneurs come to share raw insights, real struggles, and breakthrough ideas. Hosted by Laurent, a Proptech operator turned AI agency founder, this show isn’t another hype machine — it’s a deep-dive into what’s actually working in the trenches of real estate tech, logistics, automation, and AI adoption.

Ficha técnica

  • Creado por
    Laurent Cochet
  • Años en activo
    2025 - 2026
  • Episodios
    175
  • Clasificación
    Explícito
  • Derechos de autor
    © Laurent Cochet
  • Sitio web del podcast
    AI InterConnect Podcast