Post de Jean-Baptiste Rainsart

David Rice, COO of HSBC, shares how AI will revolutionize how banks operate, making them faster, easier to work with, and more proactive. With access to data across 62 markets, HSBC is positioned to provide customers with powerful insights that go beyond traditional banking. From unlocking new revenue streams to optimizing business operations, AI is setting the stage for a smarter, more efficient future. And it’s not just about technology—it’s about making AI work safely and ethically to benefit everyone. Curious how AI will shape the way banks and businesses grow? Watch the full video to find out 🎥

How can banks get ready for an AI future? 🏦 With gen AI expected to add up to $340 billion in annual value, banks are gearing up to integrate this technology effectively across all functions. From boosting productivity to potentially revolutionizing customer interactions, gen AI offers a wide range of opportunities for banks. Learn how leading institutions are scaling their projects to capture significant economic benefits. https://mck.co/3YN1O30 #NeverJustTech

It is essential to acknowledge that the banking sector is undergoing significant change driven by advances in artificial intelligence. Generative AI entails profound transformations. It firstly impacts all professions, requiring cultural adaptation and training for all of our employees. Deploying generative AI within a group like ours also meets our goal of achieving more resilient and high-performing platform, while maintaining the constraints and demands of a closed and highly secure infrastructure. Working closely with innovative and leading companies in this field is therefore of strategic interest. These partnerships provide access to cutting-edge AI technologies and best practices, significantly enhancing our competitiveness and customer confidence while enabling proactive response to regulatory requirements. Today, BNP Paribas and Mistral AI announce the signature of a partnership agreement covering all Mistral AI models. This partnership is part of this strategy. By cultivating lasting partnerships with innovative companies, we are creating a dynamic ecosystem. This agility means we can not only stay ahead of the competition, but also shape the future of the financial sector with confidence and vision.   #AIatBNPParibas #GenAIatBNPParibas #BankingInnovation #Transformation #FutureofBanking

[#EVENT] How is #AI transforming the way we work? This essential technology was at the heart of ‘My Digital Days’, our global event dedicated to innovation and digital transformation. What opportunities does AI offer, and how can we learn to maximise them? These questions were at the heart of discussions during the two-day conferences and workshops : 👉 Banking in the era of artificial intelligence: Xavier Musca, Chief Executive Officer and Deputy Chief Executive Officer of Groupe Crédit Agricole in charge of the Large Clients division, Pierre Dulon, Deputy General Manager in charge of IT & Operations Services Emmanuel Sardet, Deputy Chief Information Officer Group at Crédit Agricole S.A. and Chief Technical Officer Group franck DESAUTY, Head of AI Factory (Artificial Intelligence) and Aymen SHABOU, PhD, CTO & Head of AI at DataLab Groupe Crédit Agricole kicked-off the event with a deep dive into the banking sector in the era of Artificial Intelligence. In our second conference, Anne-Catherine Ropers, Deputy General Manager and Global Head of Human Resources, Jeremy Lamri, CEO Tomorrow Theory, Romaric Rollet, Head of Innovation, Thomas LEMONNIER, Global Coverage & Investment Banking, Coverage Banker, and Julien Cocault, Global Markets Division, Sales IT Programme Director. We delved into the impacts of generative AI on the future of work, providing valuable insights into the opportunities that lie ahead. 👉 Discover the latest practices and innovations in the digital world: Participants had the chance to experience the power of AI firsthand through workshops. An open forum also showcased the latest digital innovations, highlighting our ongoing commitment to digital transformation. Take a look back at the event through these pictures 👇 Thank you to all the participants and speakers for their contributions! 🌐🚀

EN 🌟 How can banks leverage customer's Key Life Events and AI to build stronger customer relationships? 🌟 In today’s competitive financial landscape, banks need to go beyond transactions and truly understand their customers. By tapping into key life events and using advanced AI solutions, banks can deliver personalized experiences that enhance loyalty and drive long-term success. Discover how your bank can stay ahead in the game. 🚀 🔗 Read more in our latest article (link in the first comment) #AI #customerloyalty #bankinginnovation #customerexperience #digitaltransformation

We’re introducing the ChatGPT Enterprise Compliance API and eight new compliance integrations, along with other tools for enhanced security and user management at scale.

Fintech isn’t dead.  It’s at a new beginning 🚀     Tech in financial services adapts/ creates large opportunities in every product cycle.  We are just at the beginning with AI. 🖥 Product cycle: PC/Internet era Fintech wave 1: “put it on a website”  👉 LendingClub started to make loans on the internet (vs. in bank branches) 📱 Product cycle: Mobile  Fintech wave 2: Mobile/Full Stack 👉 Chime built full stack bank w/ “get your paycheck early” wedge, Robinhood built free mobile trading w/ fractional shares ☁ Product cycle: Cloud  Fintech wave 3: "Every company is a fintech" 👉 Every layer of the stack “as a service” so companies could monetize/retain customers with fintech (Moov for payments, Sardine for fraud etc.).  🧠 NOW Product cycle: AI Wave 4: “AI inside” (tm Intel:) — we are just at the beginning but will include: 1️⃣ Labor becomes software:  Financial institutions have many of the white collar jobs that will soon have co-pilots & agents (compliance officers, insurance claims adjusters etc.) 2️⃣ Enterprise customers WILL rip and replace legacy software: Banks are full of SW (Black Knight, FIS, FiServ) built 20-30+ years ago.  The AI driven newcos are 10x better.  Banks/insurance cos are already rip/replacing. 3️⃣ Sales/marketing/finance: FIs/Insurance companies have huge sales & marketing teams, large financial back offices.  This labor spend is an opportunity for AI too. 4️⃣ Default global: AI companies cross borders & span multiple industries even earlier in their lifecycles.  They will require more cross border extensibility, flexibility, speed.  New infra cos will be built to support.  Startups from Waves 1,2,3 are best suited (vs. incumbents) to adapt quickly and are "adding AI". New companies are emerging fast. Fintech may need a new name, but the concepts/ investment opportunities are more powerful than ever.  (requisite message from our compliance team: The above is not intended to be investment advise. Please visit a16z.com/ investment-list for a full list of a16z portfolio companies)

Fintech isn’t dead.  It’s at a new beginning 🚀     Tech in financial services adapts/ creates large opportunities in every product cycle.  We are just at the beginning with AI. 🖥 Product cycle: PC/Internet era Fintech wave 1: “put it on a website”  👉 LendingClub started to make loans on the internet (vs. in bank branches) 📱 Product cycle: Mobile  Fintech wave 2: Mobile/Full Stack 👉 Chime built full stack bank w/ “get your paycheck early” wedge, Robinhood built free mobile trading w/ fractional shares ☁ Product cycle: Cloud  Fintech wave 3: "Every company is a fintech" 👉 Every layer of the stack “as a service” so companies could monetize/retain customers with fintech (Moov for payments, Sardine for fraud etc.).  🧠 NOW Product cycle: AI Wave 4: “AI inside” (tm Intel:) — we are just at the beginning but will include: 1️⃣ Labor becomes software:  Financial institutions have many of the white collar jobs that will soon have co-pilots & agents (compliance officers, insurance claims adjusters etc.) 2️⃣ Enterprise customers WILL rip and replace legacy software: Banks are full of SW (Black Knight, FIS, FiServ) built 20-30+ years ago.  The AI driven newcos are 10x better.  Banks/insurance cos are already rip/replacing. 3️⃣ Sales/marketing/finance: FIs/Insurance companies have huge sales & marketing teams, large financial back offices.  This labor spend is an opportunity for AI too. 4️⃣ Default global: AI companies cross borders & span multiple industries even earlier in their lifecycles.  They will require more cross border extensibility, flexibility, speed.  New infra cos will be built to support.  Startups from Waves 1,2,3 are best suited (vs. incumbents) to adapt quickly and are "adding AI". New companies are emerging fast. Fintech may need a new name, but the concepts/ investment opportunities are more powerful than ever.  (requisite message from our compliance team: The above is not intended to be investment advise. Please visit a16z.com/ investment-list for a full list of a16z portfolio companies)

Imagine effortlessly getting extracted information from any document—pictures, handwritten notes, or complex documents—in an instant. ✨ Penbox AI Extract does just that. ✨ It’s simply made to redefine how you collect documents, making your administrative process faster, smarter, and more precise than ever. It’s an AI you'll simply love. But why? ✔ Lightning Fast: Extracts information within 2 seconds. ✔ Incredibly Accurate: Use cutting-edge AI for pinpoint precision. ✔ Remarkably Smart: Understands context for reliable and accurate extraction. Our beta customers are already experiencing the game of automating document validation. They’re automating claim document validation, confirming identity documents for KYC, and effortlessly validating legal documents and fines. You can be among the first to experience these benefits! Our Co-Founder, Christophe Castan, reveals the magic behind Penbox AI Extract! When? 📅 June 5th 2024 🕰 10 AM Click the link in the comments to save your seat. 👇🏻