Podcasts are excellent for keeping up with the dope in your field and also familiarise with the processes/people behind the scenes. Following are five of the podcasts which I personally think are the best (in no particular order) by virtue of their content and quality of guests/hosts. This is hosted by Lukas Biewald who is heavy on startup creds -- he is the founder & CEO of Weights & Biases, a company that builds developer tools for ML. He also founded Figure Eight, an AI/ML company that was sold for $300 million. Lukas is known for prying out details on technology and engineering practices at organisations his guests are associated with.

Sign in to report inappropriate content. Pedro Domingos, bestselling author and Head of Machine Learning at DE Shaw, spoke with FirstMark's Matt Turck at a fireside chat at Data Driven NYC in October 2019. They spoke about Pedro's book, The Master Algorithm, why Pedro considers financial markets'the ultimate machine learning problem,' and much more. Data Driven NYC is a monthly event covering Big Data and data-driven products and startups, hosted by Matt Turck, partner at FirstMark Capital.

I invest in early-stage technology startups, mostly at the Series A level, anywhere in the US and in Europe. I feel incredibly privileged to get to partner with outstanding entrepreneurs, and I work hard to help them succeed. I also believe in the power of community and try to do my bit to help inspire and connect people. I run two large and fast-growing monthly events: * Data Driven NYC: a 11,000 member group focused on Big Data and artificial intelligence * Hardwired NYC: a 4,500 member group focused on frontier tech and emerging computing platforms (Internet of Things, AR, VR, drones, 3D printing, robotics, etc.). I invest in early-stage technology startups, mostly at the Series A level, anywhere in the US and in Europe.

Not so long ago, AI startups were the new shiny object that everyone was getting excited about. It was a time of seemingly infinite promise: AI was going to not just redefine everything in business, but also offer entrepreneurs opportunities to build category-defining companies. A few years (and billions of dollars of venture capital) later, AI startups have re-entered reality. Time has come to make good on the original promise, and prove that AI-first startups can become formidable companies, with long term differentiation and defensibility. In other words, it is time to go from "starting" mode to "scaling" mode.