2249: Fluid - The AI Quant-Based Crypto Liquidity Aggregation System - a podcast by Neil C. Hughes

Ahmed Ismail, a seasoned investment banker and tech-driven entrepreneur with 18 years of experience at major financial institutions such as Bank of America, Credit Suisse, and Jefferies, is now the CEO and President of FLUID, a liquidity aggregator that uses AI quant-based models to tackle fragmented liquidity in virtual asset markets.

In today's episode of Tech Talks Daily, Ahmed discusses how AI can change the decentralized ledger and explains the benefits of using AI in the crypto market. We also talks about how liquidity aggregators could help manage market participants get through Black Swan events and the growing number of tech talent migrating to Web3.

About Fluid:

FLUID is the AI quant-based liquidity aggregator providing execution for CeFi and DeFi at high throughput, ultra-low costs, ultra-low latency, and zero counterparty risk. Many physical and digital assets will be tokenized in the future. FLUID intends to capitalize on the multi-trillion dollar tokenized market volume potential across spot, futures, derivatives, synthetics, STOs, tokenized assets and more.

FLUID is driven by a seasoned senior team with diversified experience in tier one financial institutions such as Bank of America Merrill Lynch, Goldman Sachs, BNY Mellon, Citibank, Visa, and founders of leading regulated digital asset OTC trading desks, quantitative firms, and popular blockchain companies.

Further episodes of The Tech Talks Daily Podcast

Further podcasts by Neil C. Hughes

Website of Neil C. Hughes