Chirag Yagnik on making tools commonly used by institutional investors and high net worth individuals more accessible to individual investors.
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Chirag Yagnik is a co-founder of Arta , a company that harnesses innovations in artificial intelligence and software to develop wealth management solutions. Arta aims to democratize access to sophisticated investment tools typically only available to ultra-high net worth individuals through family offices. By making institutional-caliber capabilities more widely accessible, Arta hopes to empower more people to effectively manage their financial futures.
[The information presented in this episode is for informational purposes only. It should not be interpreted as legal, financial, or other professional advice.]
Interview highlights – key sections from the video version:
- Leveraging technology to provide customized financial solutions
- Challenges faced by High Frequency Traders
- Generative AI and signal generation
- Aternative Assets
- Portfolio optimization
- Wealth advisors and AI
- Hallucinations can enable constructive applications
- Strengths and limitations of LLMs in the context of financial applications
- Responsible financial reasoning engine
- LLMs in finance: early impressions
- Retrieval augmented generation
- AI financial and wealth advisors
- Uncertainty in predicting future asset prices
- Arta is Hiring!
Related content:
- A video version of this conversation is available on our YouTube channel.
- Financial Machine Learning
- Generative AI in Finance: Opportunities & Challenges
- Boosting LLMs with External Knowledge: The Case for Knowledge Graphs
- Philipp Moritz and Goku Mohandas: Navigating the Nuances of Retrieval Augmented Generation
- Waleed Kadous: Best Practices for Building LLM-Backed Applications
- Michele Catasta: Software Development with AI and LLMs
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