Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A7171886071570513922
Download 700-Slide Deck: #GenerativeAI: Is it 30-Years Behind the Curve or 15-Years? Human, You Be the Judge!: SSRN: https://lnkd.in/e9-2fPdF: YouTube: https://lnkd.in/eVZmjeHk : Thanks to Amazon Web Services (AWS) with whom I advance #FutureOfAI – #GenAI – #LLMs – on which I lead R&D and practices since 1990s: Self-Adaptive & Complex Systems and Chaos Theory World Industry Practices Leader Advancing AI-Machine Learning-Deep Learning KM Systems: https://lnkd.in/gcYqAWqm .
I had earlier issued #SelfDrivingCar #challenge [#Empirical #Test of: If and when, IF EVER, will #SelfDriving cars #replace #human #drivers in ‘my’ REAL WORLD: Princeton University (2018): https://lnkd.in/e5-asuY%5D to both virtual peer, #ElonMusk, who is [ almost ;-), #Elon ] never boring and has always something interesting to share, and to [one of] my scholarly inspiration(s), #DanielKahneman, whose R&D with #AmosTversky, on #Human #Thinking enabled #Knowledge, #Learning, & #Intelligence, inspired my R&D since I started my #Intelligent #Systems PhD R&D focus on #Future of #AI-#ComputerScience-#Decision #Analytics-#MIS in early-1990s.
#Open #Challenge to #DanielKahneman: #AI vs. #Human: Shall We #Test? https://lnkd.in/eBmn2pk :
Today, I decided to ‘kick the tires’ having contemplated that #FinancialServices Use Cases look-and-feel same as they would have 30-years earlier.
So here it is to compare with my own #Human R&D leading $Trillion #HedgeFund #Liquidity #Risk #Modeling #WallStreet #Quant #Practices:
#FutureOfRisk is [Already] #Quantum, Are You Prepared?:
https://lnkd.in/e88qVWsY :
Industry Segment: Hedge Fund Risk Modeling
Use Case: Liquidity Risk Modeling
Here is the advice on applying generative AI to Liquidity Risk Modeling in Hedge Fund Risk Modeling:
Liquidity risk modeling involves estimating the ability of a hedge fund to meet cash outflows and margin calls. Generative AI could be used to simulate hypothetical stressed market scenarios and estimate potential future cash needs.
Business Impact: More accurate liquidity risk models can help hedge funds avoid liquidity crunches and be better prepared for turbulent markets. This protects the fund and investors.
Complexity Level: Medium. Requires financial market data, fund position data, and generative models that can simulate hypothetical scenarios and estimate cash flows.
Risks and Considerations: Models may not anticipate all possible market events. Need to validate models with out-of-sample testing. Computational resources required for large scenario simulations.
Examples: Bridgewater Associates uses AI for liquidity modeling. Citadel and Two Sigma have explored generative modeling for hedge fund liquidity risk.
Silicon Valley’s Next Big Thing™: CEO-CTO-CFO Know-Build-Monetize™ Networks: Join The CxO Metaverse™
AWS-Quantum Valley Building the Future of AI-Quantum Networks: Global Risk Management Network LLC-NY
C4I-Cyber Quantum Valley-SiliconValley Digital Pioneer USAF-USSF Ventures Engineering Sustainability
