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I had a blast taking to Michael Watson who is the founder and CEO of Hedgineer.

"AI is the future. But not everyone is prepared for it. To effectively integrate AI into a company, it needs an organized, thorough, and secure inventory of data. Without one, every AI implementation remains incomplete because it only has access to a subset of the relevant information it needs.

Most hedge funds are built on disjointed networks of research portals, order management systems, and datasets. The ones that don't consolidate them will run the risk of falling behind the AI curve."

Michael's LinkedIn:
https://www.linkedin.com/in/michaeldavidwatson/

Hedgineer:
https://www.hedgineer.io/
https://www.youtube.com/@hedgineer
https://podcasts.apple.com/us/podcast/the-hedgineer-podcast/id1674929284
https://open.spotify.com/show/0Aq6pxdUONA4aJPntsvqf2
https://www.linkedin.com/company/hedgineer-io/

Video Version:

https://youtu.be/2hyfMMl1pGg

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Jeff Ryan is an alpha engineer with an unconventional background. He is also the co-founder of QUANTkiosk and loves solving problems. Some great discussion on programming languages, structuring data, the quant community, and why R programming is so useful.

YouTube Version:

https://youtu.be/U0qf-sRzQZk

QUANTkiosk
http://www.quantkiosk.com

Jeff Ryan
https://www.linkedin.com/in/jeffreyaryan/

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AI has many use cases and is a very broad area. AI has been used in finance since the rise of computers and the internet through automated systems. From trading to originating loans, AI is not new to finance. As LLMs have become the main focus over the last few years, there are a lot of wild predictions and fear of missing out. While LLMs and great at simple tasks and those with low risk, they are not actually thinking and need a lot of engineering around them to make them useful. They are also great at taking unstructured text data and images and turning them into structured data for more traditional methods such as math, logic, programming, statistics, and machine learning. I see there being a big lift in automating common tasks however the core of a business and where it has a competitive edge will continue to be done through non-AI methods. Don't get me wrong, implementing AI as a cost saving approach to common tasks can be an edge but it shouldn't be the main focus of your business.

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Roman Bansal is the founder of NanoConda. We discuss growing up in Russia, the joy of reading books, and how NanoConda can help you set up software, API, hardware, and colocation for HFT (high frequency trading) for smaller firms. We also discuss why Dallas, Texas is growing in the quant space as many firms are locating here.

NanoConda
https://nanoconda.com/

Roman Bansal
https://www.linkedin.com/in/romanbansal/

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Tribhuvan Bisen is a co-founder of Quant Insider. We learn about his journey from his education to working at Deutsche and then starting Quant Insider. We also discuss the quant job and education market in India and what it takes to be a quant.

Quant Insider:
https://quantinsider.io/
https://www.linkedin.com/company/quant-insider/

Tribhuvan Bisen:
https://www.linkedin.com/in/tribhuvan-bisen/

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Fred Viole is the founder of OVVO Labs and has been putting together a complete statistical framework using partial moments and nonlinear and nonparametric statistics (NNS). He also has an R package which is free called, NNS. The application of NNS to finance is proprietary and what OVVO Labs uses to sell macroeconomic forecasts, a utility based portfolio optimization tool, and an option pricing tool.

From the horse race tracks to trading and to the chase of an entrepreneurial journey, Fred Viole is changing Wall Street and the finance world as we know it.

OVVO Labs
https://www.ovvolabs.com/

Presentation, "Partial Moments in Quantitative Finance"
https://www.ovvolabs.com/media/

R NNS Package:
https://cran.r-project.org/web/packages/NNS/index.html

Video version:

https://youtu.be/DYDTD3_76VA

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Project Phoenix is me re-organizing my life. I got an offer to be a CRO and instead of taking it, I quit my job, sold my honeybees, and decided to run a half marathon. I started my own business called, "Fancy Quant LLC" where I will consult in quant research, risk management, career development, and academic program consulting and advisory services.

For opportunities contact me on LinkedIn:
https://www.linkedin.com/in/dimitri-bianco/

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Raphael Douady is a French mathematician who works in both academia as well as quantitative finance. His specialization is in chaos theory and financial mathematics. In this interview he shares how he got into mathematics and why he left for quantitative finance. We also briefly discuss AI in the finance space as he has a paid seminar on July 31st called, "Opportunities and Challenges in Leveraging AI for Financial Markets." The conversation is a fun discussion of the challenges of working in the finance world from a math and quant perspective.

Opportunities and Challenges in Leveraging AI for Financial Markets:
https://wallstreetscholars.com/seminar/b2310304-b22a-4622-8a47-1698b136b00f?rc=fq

Raphael Douady:
https://www.linkedin.com/in/raphael-douady/

Polymodels Textbook:
https://amzn.to/3IVuEJV

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