Kalman Saffran of Summa Management
On this episode of Investor Connect, Hall welcomes Kalman Saffran of Summa Management.
As the episode kicks off, Kal speaks about his background before Summa Management. A self described businessman/scientist/engineer, Kal started out at MIT’s Laboratory for Nuclear Science. He then became an entrepreneur founding three companies, including Summa Management. In between MIT and building businesses, Kal was also a corporate staff member at United Brands, a fortune 100 company.
Kal and his partners jumped into the AI space after selling off a previous company. While researching state-of-the-art ideas in the field, they determined that they needed to develop a new theory. That theory would be dependent upon large amounts of data and large amounts of processing. So they took a so called big data approach to the data and an artificial intelligence approach to the process.
In this episode, Kal gives his advice for people jumping into the AI space. He says that investors should look for new, out of the box approaches to quantitative trading. Those should hold the highest returns.
Kal also gives his views on where he sees big data in the AI space evolving. In addition, he gives advice to those looking to invest and much more.
About Summa Management- Summa Management LLC is a financial-securities, price-prediction company. They research and develop “beyond state-of-the-art” price prediction systems for equities, commodities, foreign exchange (FX), cryptocurrencies, fixed income and derivatives securities. They deliver their predictions to their customers via a Software as a Service Plus (SaaS+) model.
You can find Summa Management at http://summamanagementllc.com/
Kal can be reached on LinkedIn at https://www.linkedin.com/in/kalman-saffran-9b18125b/
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Hall T. Martin is the Director of Investor Connect, a 501c3 non-profit dedicated to the education of investors for early stage funding. All opinions expressed by Hall and podcast guests are solely their own opinions and do not reflect the opinion of Investor Connect. This podcast is for informational purposes only and should not be relied upon as a basis for investment decisions.