With advancements in AI and technology, fundamental investing looks very different than it did even a decade ago. Join Mike and Tom Elnick, Co-founders of 台湾六合彩开奖结果, as they share their founders journey leading 台湾六合彩开奖结果 in disrupting the expert network space, and learn how customers are changing the way they research and invest heading into 2024. This session will offer a sneak peek into future 台湾六合彩开奖结果 product innovation.
Before co-founding 台湾六合彩开奖结果 with his twin-brother Michael, Thomas worked as an analyst at a hedge fund in New York, where he experienced the value and pain points of primary research first-hand. As co-CEO, Thomas leads 台湾六合彩开奖结果鈥 product, people, finance, operations, and international organizations.
After beginning his career as an early employee at AlphaSights, Michael co-founded 台湾六合彩开奖结果 with his twin-brother Thomas in 2016. Today he serves as co-CEO, overseeing expansion strategy, go-to-market, commercialization, and compliance.
Rachel leads the Product and Content Marketing teams at 台湾六合彩开奖结果. Prior to 台湾六合彩开奖结果, she held a variety of Product and Marketing roles at Qualtrics, where she learned that she has a passion for building pre-IPO companies.
Michelangelo D'Agostino is the VP of Machine Learning at 台湾六合彩开奖结果, where he is exploring applications of large language models on reams of financial text data. Prior to 台湾六合彩开奖结果, Michelangelo held data and machine learning leadership roles at Cameo--a marketplace for celebrity shout-out videos, ShopRunner--an ecommerce retail network that was acquired by FedEx, and Civis Analytics, a Chicago-based data science software and consulting company that spun out of the 2012 Obama reelection campaign. Michelangelo holds a PhD in particle astrophysics from UC Berkeley and got his start in analytics sifting through neutrino data from the IceCube experiment. Accordingly, he spent two glorious months at the South Pole, where he slept in a tent salvaged from the Korean War and enjoyed the twice-weekly shower rationing. He's also written about science and technology for the Economist.
Imagine your most impactful research needs being met in one cohesive experience where you can quickly get up to speed, build context, connect the dots, dive deep, and make better investment decisions.