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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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