Artificial Intelligence in Banking And Finance

Episod

• Deployment Scale. 16.05.2026 22min

  Anthropic is raising another $30 billion at a $900 billion valuation — surpassing OpenAI for the first time — on annualized revenue approaching $45 billion, a fivefold increase since end of 2024. Fiserv launched AgentOS, an agentic AI operating system for banks, currently in beta with two financial institutions. Next week, watch the SpaceX IPO timeline and whether Anthropic's new round closes, as both events could trigger a multi-trillion-dollar wave of AI paper hitting public markets.
• Presse Review 06 04 26 06.04.2026 13min

  Regular Press Review on AI
• AI & Banking Jobs in Asia-Pacific: Japan, China, Singapore, India, and Beyond 12.02.2026 46min

  In this in-depth episode, finance executive David Perron examines how artificial intelligence is reshaping banking employment across the Asia-Pacific region. From Japan's megabanks shedding 33,000 positions to ICBC's 100-billion-parameter AI model serving 400,000 employees, from Singapore's government-led upskilling of 35,000 bankers to India's dramatic hiring slowdown This episode covers the facts, the market chatter, and the real consequences for financial professionals in seven key markets: Japan, China, South Korea, Singapore, Australia, India, and Hong Kong.Please Subscribe.Hosted by David Perron | Aequitas ConsultusContact: david.perron@aequitus.net
• Agentic Artificial Intelligence for Banks. An educational guide. 18.01.2026 40min

  Agentic AI is rewriting the rules of banking—not in theory, but in production systems today.In 40 minutes, I break down how multi-agent systems actually work across every business line:→ Investment Banking: Vector databases & semantic search in M&A due diligence→ Credit: Explainable AI (SHAP) for regulatory-compliant underwriting→ Compliance: Graph Neural Networks detecting hidden money laundering networks→ Treasury: Predictive agents automating cash flow optimization→ Wealth Management: Real-time compliance co-pilots→ Technology: Internal LLMs transforming how banks write codeThis is not hype. This is step-by-step, technical, didactic.Find your business line. Understand the workflow. Prepare for what's coming.
• AI & Employment in Banking UK 14.01.2026 20min

  AI is reshaping UK banking. Discover which jobs are at risk, which are thriving, and how to future-proof your career.
• AI & Employment in Banking and Finance 2025 and beyond in Europe 22.12.2025 32min

  I’m releasing a 6-episode series on AI & employment in banking (2025).Todays Podcast : Europe.Each episode is strictly factual and clearly separates verified information from recurrent market chatter (explicitly flagged as unverified).
• AI & Employment in Banking 2025 North America 18.12.2025 15min

  I’m releasing a 6-episode series on AI & employment in banking (2025).Each episode is strictly factual and clearly separates verified information from recurrent market chatter (explicitly flagged as unverified).What I’m seeing in 2025 is that the first impact is often on tasks, productivity, and hiring patterns—well before headline job-cut announcements.Release schedule: one episode every MondayRegions (in order): North America • Continental Europe • United Kingdom • Asia-Pacific • China • Africa & Latin AmericaIf you work in banking (corporate banking, capital markets, compliance, operations), I’d value your perspective: which roles are being reshaped fastest this year, and where are you seeing the biggest skills shift?#AIinBanking #AIinFinance #AIinFinancialServices #BankingJobs #BankingCareers #BankingEmployment #AIandEmployment #AIImpactOnJobs #WorkforceTransformation #FutureOfWork #FutureOfBankingWork #BankingHiringTrends #BankingTrends2025 #Banking2025 #FinancialServices #FinancialServices2025 #GlobalBanking #ExecutiveBriefing #IndustryAnalysis2025 #BankingIndustry #DigitalTransformation #TransformationStrategy #AIStrategy #FinTech #FinTech2025 #RegTech #ComplianceTech #GenAI #GenerativeAI #LLM #AIAssistant #AIAssistants #AIPowered #Automation #BankingAutomation #OperationsAutomation #RegulatoryReportingAutomation #DocumentAutomation #Productivity #ProductivityTools #Operations #BankingOperations #OperationsTransformation #BackOffice #BackOfficeAutomation #MiddleOffice #MiddleOfficeAutomation #FrontOffice #CorporateBanking #CommercialBanking #InvestmentBanking #CapitalMarkets #TransactionBanking #TreasuryServices #TradeFinance #WorkingCapital #CreditUnderwriting #CreditRisk #RiskManagement #ModelRiskManagement #ModelGovernance #AIGovernance #AIControls #AIRiskManagement #ResponsibleAI #ExplainableAI #XAI #DataGovernance #Privacy #CyberSecurity #FinancialCrime #FraudDetection #FraudPrevention #AML #KYC #AMLMonitoring #KYCAutomation #Compliance #ComplianceAutomation #PolicySearch #KnowledgeManagement #Reskilling #Upskilling #AISkills #AILiteracy #CareerDevelopment #AnalystRoles #JuniorAnalysts #RelationshipManagers #SMELending #CorporateLending #Onboarding #ClientOnboarding #CustomerService #ContactCenter #Chatbots #VirtualAssistants #NorthAmerica #USA #Canada #Europe #ContinentalEurope #UnitedKingdom #UK #AsiaPacific #APAC #China #Africa #LatinAmerica #Brazil #HongKong #Singapore #Japan #AequitasConsultus #DavidPerron
• Navigating AI Regulation: EU AI Act vs US Approach for Financial Institutions 12.11.2025 18min

  The EU AI Act is here. August 2026 is your compliance deadline. Are you ready?The world's first comprehensive AI regulation isn't just another compliance checkbox. With penalties reaching €35M or 7% of global turnover, misinterpreting this framework is a strategic failure that boards cannot afford.Here's what makes this moment critical: we're witnessing a fundamental divergence in global AI governance. The EU has deployed a horizontal, prescriptive regulation with clear timelines and mandatory obligations. Meanwhile, the US continues with its vertical, sector-specific patchwork—a fragmented landscape of state laws and existing regulations applied case-by-case.For financial institutions operating across jurisdictions, this creates both complexity and opportunity. The EU's extra-territorial scope means that even US-headquartered firms fall under its jurisdiction if their AI systems affect EU citizens. The strategic questions are no longer theoretical:Which of your AI systems are classified as high-risk under Annex III? Credit scoring and insurance underwriting clearly fall within scope, but there's a critical exception many institutions are missing: AI systems for fraud detection are explicitly carved out from high-risk classification. This distinction has profound implications for your AML and transaction monitoring investments.How do you integrate the AI Act with GDPR and DORA? These three regulations form a compliance trinity that cannot be managed in silos. Your governance framework must address all three simultaneously.What are the 7 mandatory obligations for high-risk systems, and how do you implement them by August 2026? From risk management and data governance to human oversight and technical documentation, the requirements are substantial and time-sensitive.In my new 18-minute executive briefing, I provide a strategic framework for navigating this new era. This isn't a summary of headlines. It's a detailed analysis based exclusively on the official regulatory texts—the AI Act itself, the December 2024 US Treasury report, and BIS regulatory guidance.We dissect the phased implementation timeline from 2024 to 2027, reveal the critical fraud detection exception, and provide a 5-step classification framework to assess your AI inventory. Most importantly, we contrast the EU's approach with the US landscape to help you build a coherent, cross-jurisdictional compliance strategy.This is for experienced risk officers, compliance leaders, CTOs, and board members who need actionable intelligence, not generic overviews.#AI #AIAct #FinancialServices #RiskManagement #Compliance #RegTech #Banking #Insurance #FinTech #Governance #EURegulation #DigitalTransformation #Leadership #DavidPerron
• Agentic AI in Banking and Finance 11.10.2025 16min

  Agentic AI in Banking and Finance: The Future is Now | Professional Insights for Financial LeadersDiscover how agentic artificial intelligence is transforming financial operations—from trading floors to treasury departments. In this 16-minute deep dive, we explore the cutting-edge technology that's revolutionizing our industry.What You'll Learn:The 3 core architectures of agentic AI (Planner-Executor-Reviewer, Multi-Agent Societies, Finite-State Graphs)Real-world applications in trading, treasury operations, and compliance (KYC/AML)Critical insights from NBER, BIS, and FSB research on AI risks and opportunitiesRegulatory frameworks: EU AI Act, SEC guidelines, NIST AI RMF, and BoE SS1/23A 6-step roadmap to deploy agentic AI in your financial institutionSecurity best practices: OWASP Top 10 for LLMs and model risk governanceKey Technologies Covered:AutoGen (Microsoft), LangGraph, CrewAI, Model Context Protocol (MCP)Whether you're a CFO, risk manager, compliance officer, or fintech innovator, this podcast provides the strategic insights and practical frameworks you need to harness AI responsibly and effectively.The future of finance is collaborative—a partnership between human expertise and artificial intelligence. Are you ready to build it?Subscribe for more insights at the intersection of technology and finance.#AgenticAI #FinTech #FinancialOperations #AIinFinance #RegulatoryCompliance #TreasuryManagement #FinancialInnovation #MachineLearning #AIGovernance #FutureOfFinance
• AI-Powered Payables: Transforming AP Teams into Profit Centers 17.03.2025 15min

  Accounts Payable is no longer just about invoices and due dates—it's becoming a strategic lever for business growth. Thanks to AI, companies can now predict cash flow, optimize supplier payments, reduce fraud, and unlock savings through dynamic discounting. In this episode, we explore how AI-driven automation is transforming payables management, boosting efficiency, improving supplier relationships, and driving smarter financial decisions.Whether you're a CFO, treasurer, or finance professional, this is your insider’s guide to leveraging AI for a future-ready payables strategy.Glossary of AI Models & Techniques Used in Payables OptimizationMachine Learning (ML): AI that improves decision-making in payables automation by identifying patterns in financial transactions.Natural Language Processing (NLP): AI used for invoice scanning and data extraction, eliminating manual entry errors.Reinforcement Learning (RL): AI that optimizes payment scheduling by dynamically adjusting supplier payments based on real-time cash flow.Neural Networks (NN): A deep learning model capable of identifying complex patterns in financial data for fraud detection and predictive analytics.Decision Trees: A supervised learning algorithm used for classifying invoices, prioritizing payments, and predicting supplier risk.Random Forests: An advanced form of decision trees, improving accuracy in detecting fraudulent payables transactions and predicting supplier creditworthiness.Gradient Boosting Machines (GBM): Used for automated credit scoring, helping companies evaluate the risk of delaying payments.Generative Adversarial Networks (GANs): Used for detecting fake invoices and fraudulent transactions in AP systems.Graph Neural Networks (GNNs): Applied in supply chain finance to analyze relationships between suppliers, predicting risks and optimizing working capital strategies.Bayesian Networks: AI models that predict cash flow volatility and help CFOs make data-driven payables decisions.Main SourcesMcKinsey AI & Finance Report (2023)Deloitte AI in Treasury Management (2024)Goldman Sachs Working Capital Research (2024)J.P. Morgan AI Payables Optimization Study (2024)BNP Paribas AI in Treasury Operations (2023)Alibaba AI-Payables in Supply Chain Finance (2023)HSBC AI Risk & Fraud Analysis (2023)IBM NLP Invoice Processing Report (2024)further read : https://doi.org/10.30574/wjarr.2024.23.1.2141An AI generated Podcast based on open source information selected and reviewed by a Gen X brain.David Perron is a seasoned finance executive with over two decades of expertise in Trade Finance, Working Capital Management, and Corporate Banking. Recognized for his strategic vision, leadership acumen, and deep understanding of complex financial structures, he has successfully led high-profile teams across major global financial institutions such as JPMorgan, Barclays, and HSBC. His expertise spans structured trade finance, supply chain finance, receivable finance and inventory finance.In addition to his extensive professional experience, David is currently pursuing an Executive Master in Artificial Intelligence for Innovative Managers at the Institut Mines-Télécom Business School (a leading institution comparable to MIT Sloan). This advanced degree reflects his commitment to integrating AI into financial solutions, particularly in trade finance and working capital optimization.David is a strong advocate for fintech innovation, compliance, and efficiency in the financial services sector. His career is marked by significant achievements, including structuring multi-billion-dollar portfolios, enhancing revenue streams, and exploring AI-driven trade finance solutions. He is also an accomplished public speaker.
• AI & The Future of Banking Jobs: Automation, Aging Workforce & HR Challenges – by David Perron 04.03.2025 20min

  Podcast Episode Title: "AI and the Future of Banking Jobs: Automation, Workforce Aging, and HR Challenges"Episode Overview:Artificial Intelligence is transforming the financial industry. Banks are integrating AI into trade finance, compliance, risk management, and working capital optimization. But what does this mean for the workforce? Will AI create new opportunities or replace traditional roles?Key Takeaways:Up to 25% of banking jobs could be automated by 2027 (McKinsey, 2023).85% of banks are investing in AI for process automation (Deloitte, 2023).70% of trade finance operations could be digitized with AI (World Trade Organization, 2023).AI reduces fraud risks by 50% and speeds up decision-making in credit and compliance (PwC, 2023).Listen to the podcast for moreWho’s at Risk?Who’s Benefiting?Regional BreakdownFuture of AI and Banking JobsHow Should Banks Adapt?Main Sources:McKinsey AI & Banking Report 2023World Trade Organization Trade Finance ReportPwC AI in Finance StudyDeloitte Banking Automation ReportBISThe EconomistAn AI generated Podcast based on open source information selected and reviewed by a Gen X brain.David Perron is a seasoned finance executive with over two decades of expertise in Trade Finance, Working Capital Management, and Corporate Banking. Recognized for his strategic vision, leadership acumen, and deep understanding of complex financial structures, he has successfully led high-profile teams across major global financial institutions such as JPMorgan, Barclays, and HSBC. His expertise spans structured trade finance, supply chain finance, receivable finance and inventory finance.In addition to his extensive professional experience, David is currently pursuing an Executive Master in Artificial Intelligence for Innovative Managers at the Institut Mines-Télécom Business School (a leading institution comparable to MIT Sloan). This advanced degree reflects his commitment to integrating AI into financial solutions, particularly in trade finance and working capital optimization.David is a strong advocate for fintech innovation, compliance, and efficiency in the financial services sector. His career is marked by significant achievements, including structuring multi-billion-dollar portfolios, enhancing revenue streams, and exploring AI-driven trade finance solutions. He is also an accomplished public speaker.Hosted by Ausha. See ausha.co/privacy-policy for more information.
• Trade Finance 2.0: How Documents Digitalization Empowers AI to Revolutionize the Process. By David Perron 25.02.2025 16min

  Artificial Intelligence (AI) is revolutionizing international trade finance. It automates and optimizes letters of credit, reducing errors and accelerating payments. AI enhances fraud detection and regulatory compliance through machine learning and blockchain. Predictive risk analysis improves credit assessment and adjusts financing conditions. While the adoption of electronic letters of credit and electronic bills of lading is increasing, challenges remain regarding interoperability and legal recognition.Hosted by Ausha. See ausha.co/privacy-policy for more information.
• Artifical intelligence impact on Trade by Finance and Working capital - Use cases. By David Perron. 21.02.2025 19min

  You need buzzwords on artificial intelligence applications for trade finance and working capital - this 20-minute podcast will entertain you during your next commute.Level 1: cocktail talks and unexpected meetings.An AI generated Podcast based on a Gen X brain.#Finance #Fintech #TradeFinance #CorporateFinance #WorkingCapital #CashFlowManagement#ArtificialIntelligence #AIinFinance #MachineLearning #DigitalTransformation#FintechInnovation #Blockchain#BusinessGrowth #BusinessStrategy #Leadership #Entrepreneurship #BusinessSuccess#SupplyChainFinance #WorkingCapitalOptimization #InvoiceFinancing #ReceivablesFinance #LiquidityManagement#Podcast #FinancePodcast #FintechPodcast #AIinBusiness #PodcastGrowthHosted by Ausha. See ausha.co/privacy-policy for more information.