AI is all the rage in tech circles, and the press is awash in tales of AI entrepreneurs striking it rich after being acquired by one of the giants. As always, the realities of building a startup are different, and the path to success requires not just technical prowess but also thoughtful market positioning and business excellence.
In a talk of interest to anyone building or implementing an AI product, Matt Turck and Peter Brodsky leverage hundreds of conversations with AI (and big data) founders and hard-learned lessons building companies from the ground up to highlight successful strategies and tactics.
Matt Turck is a managing director of FirstMark Capital, where he invests across a broad range of early-stage enterprise and consumer startups, with a particular focus on big data, AI, and frontier tech companies. Previously, Matt was a managing director at Bloomberg Ventures, the investment and incubation arm of Bloomberg LP, which he helped start, and the cofounder of TripleHop Technologies, a venture-backed enterprise search software startup that was acquired by Oracle. Matt is passionate about building communities and organizes two large monthly events, Data Driven NYC (which focuses on data-driven startups, big data, and AI) and Hardwired NYC (which focuses on frontier tech, including the Internet of Things, AR/VR, drones, and other emerging technologies). Matt graduated from Sciences-Po (IEP) Paris and holds a master of laws (LLM) from Yale Law School. He blogs at Mattturck.com.
Peter Brodsky is a middle school dropout, a college graduate, and a PhD dropout. Peter built and sold his first company and is now building second company.
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