As the financial sector harnesses generative AI’s capacity to speed and simplify processes, Bank of America has leaned on sustained research and technology investments to rapidly scale multiple use cases. https://lnkd.in/eA2jb_RV
Bank of America leverages generative AI for financial efficiency
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Bank of America fires up generative AI payments assistant: AskGPS was trained on more than 3,200 internal documents by the company’s in-house engineering team and rolled out last week. #CIODive #Innovation
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Top banks are harnessing AI to revolutionize financial services by setting new standards with rapid AI research and real-world deployments, driving smarter trading, faster customer service, and stronger risk management. The shift to agentic AI and heavy investments in talent and infrastructure show AI is becoming core to banking innovation. Discover how AI is powering the future of finance with groundbreaking research and practical applications across the sector. Read: https://lnkd.in/eR2DiCjz
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According to a new study by Evident, an intelligence company that benchmarks and tracks AI adoption in financial services, roughly 70% of institutions have nothing tangible to show for their AI investments, while just 30% report measurable business results. https://lnkd.in/eefgpqyE
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AI’s next chapter in finance is being written by five banks. According to Banking Dive, JPMorgan Chase, Citi, RBC, Wells Fargo, and TD account for nearly two-thirds of all AI research in the sector. Key signals: 📑 JPMorgan leads with 37% of total research publications 📈 AI use cases doubled in early 2025 compared to late 2024 ⚡ Deployments now include coding copilots, customer chatbots, and internal knowledge tools From labs to live production — AI is scaling in financial services faster than anyone expected. Read Banking Dive’s piece on how global banks are scaling AI research and adoption: https://lnkd.in/gQGyEyyN
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AI investments are on the rise, and their impacts are becoming increasingly significant. The success of AI implementation does not have to be confined to institutions with vast resources. Over the past six months, in collaboration with Neuralseek, we have engaged with executives from over 40 banks to explore their AI journeys, future strategies, and the risks they face in adopting this technology. Our discussions have yielded valuable insights, helping to alleviate concerns and providing guidance on essential guardrails for managing AI. We have identified immediate opportunities and use cases that can be deployed effectively, drawing from our 30 years of experience in banking. For bank executives responsible for technology or emerging technologies, we invite you to connect with us to share our experiences and knowledge. You can reach out at jbosco@edeltaconsulting.com. In a notable example of AI transformation, JPMorgan Chase is striving to become the first fully AI-powered megabank through its LLM Suite platform. This platform integrates large language models from OpenAI and Anthropic with the bank's proprietary data, aiming to equip every employee with AI agents and automate backend processes. The platform has already been deployed to 250,000 employees, with half using it daily. It has demonstrated capabilities such as creating investment banking presentations in just 30 seconds, a task that previously took hours. However, this transformation is expected to reshape the banking industry significantly, including workforce reductions, with a projected decline of at least 10% in consumer banking operations staff over the next five years as AI systems take over traditional roles.
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AI is changing banking, and seeing how JPMorgan Chase uses LLM Suite to simplify work for 250,000 employees is impressive. Check out Jon's must-read post highlighting eDelta’s role with Neuralseek, our no-code AI agent platform. We’re helping clients create automated workflows for risk, compliance, and audit, complete with real-world AI governance. If your organization is on a similar path, what challenges or solutions are you seeing?
AI investments are on the rise, and their impacts are becoming increasingly significant. The success of AI implementation does not have to be confined to institutions with vast resources. Over the past six months, in collaboration with Neuralseek, we have engaged with executives from over 40 banks to explore their AI journeys, future strategies, and the risks they face in adopting this technology. Our discussions have yielded valuable insights, helping to alleviate concerns and providing guidance on essential guardrails for managing AI. We have identified immediate opportunities and use cases that can be deployed effectively, drawing from our 30 years of experience in banking. For bank executives responsible for technology or emerging technologies, we invite you to connect with us to share our experiences and knowledge. You can reach out at jbosco@edeltaconsulting.com. In a notable example of AI transformation, JPMorgan Chase is striving to become the first fully AI-powered megabank through its LLM Suite platform. This platform integrates large language models from OpenAI and Anthropic with the bank's proprietary data, aiming to equip every employee with AI agents and automate backend processes. The platform has already been deployed to 250,000 employees, with half using it daily. It has demonstrated capabilities such as creating investment banking presentations in just 30 seconds, a task that previously took hours. However, this transformation is expected to reshape the banking industry significantly, including workforce reductions, with a projected decline of at least 10% in consumer banking operations staff over the next five years as AI systems take over traditional roles.
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Bank of America launches AI chatbot AskGPS to enhance customer service, while ECMWF reports a surge in demand for weather data driven by AI advancements.
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Banks ramped up AI adoption as agentic tools began to gain traction in the sector during the first half of the year, according to an Evident Insights’ AI report published last week. The number of new use cases launched by 50 of the world’s largest financial firms doubled compared to the last half of 2024 while the number of technologists working on agentic AI grew more than tenfold. More than half of the 173 use cases deployed by the banks analysed leveraged generative AI capabilities. Nine of the 50 firms documented AI agents in the pilot or production phase, but BNY, Capital One and JPMorgan Chase were the only firms to disclose details of the supporting architecture for agentic workflows. Agentic AI is the new game in town. We are currently putting together a use case presentation analysing specific agentic AI use cases and the benefits of them. Please let me know if you would like a copy! #AI #agenticai #digital #technology #fintech
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The fourth edition of the Evident AI Index, an outside-in benchmark for AI in financial services, finds banks are rapidly expanding AI deployment and beginning to show clearer commercial outcomes - but not evenly. There's a whole lot to unpack in the report, click below for the key takeaways 👇 #Tech | #News | #AI | #Banking
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Banks trust Cloudera to bring AI to their data anywhere. At #EVOLVE25, Adrien Chenailler outlined how AI is streamlining operations and preparing financial services for the future. Read his insights: https://shorturl.at/FpG1R
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