"The enterprise that does not innovate ages and declines, and in a period of rapid change such as the present, the decline will be fast"
The artificial intelligence revolution in banking has created clear leaders who are setting the pace for the industry through strategic implementation and measurable returns. These institutions are reshaping the financial landscape through innovative AI applications and demonstrable success.
JPMorgan Chase maintains its position as the banking sector's AI pioneer, radically outperforming the market in AI research and innovation[1]. The bank's "Moneyball" tool leverages 40 years of market data to enhance investment decisions and prevent premature stock selling[3]. Their commitment to AI extends across 400 AI use cases, significantly reducing analyst workload and transforming routine tasks.
Board Position(s) Search - Your Help, Por Favor π
I'm seeking board positions with fintech, DeFi, and AI companies that bridge traditional finance with emerging technologies. Based at One World Trade Center in New York City, I publish the widely read AI & Finance and Crypto Decoded newsletters, delivering insights to thousands of decision-makers across institutional investors, family offices, and HNW clients. I serve as Financial Advisor Magazine's Invest in Women Chairwoman. With AI Ethics certification and two decades of Wall Street experience, I offer strategic guidance on responsible innovation, institutional adoption, and governance frameworks during this unprecedented period of technological transformation. I am available for board travel commitments throughout the USA, Spain, and Europe, particularly with mid-cap companies and well-funded startups committed to advancing financial services through responsible innovation. DM me with serious inquiries only, please.
Securing the second position in AI maturity rankings, Capital One has demonstrated exceptional strength in AI patents and research throughout recent years[1]. The bank has notably surpassed even JPMorgan Chase in AI development and data engineering talent metrics, showcasing its commitment to technological advancement.