From 0 to $200M in Revenues in 7 years: In Conversation with Ben Uretsky, Co-Founder, Digital Ocean

 

Who would be crazy enough to compete head-on with AWS?

The question was almost as obvious seven years ago than it is today.  Yet in just a few years since its founding,  Digital Ocean, a cloud infrastructure startup based in New York with data centers around the world, has managed to build a very impressive and fast-growing business, successfully competing with the giants of cloud computing.

Ben Uretsky, co-founder of the company (with his brother Moisey and 3 others) and its CEO from 2011 to 2018, stopped by for a chat at Data Driven NYC to tell the story of the company and share some lessons learned.

Here’s the video, and below are my notes from our great chat.

Continue reading “From 0 to $200M in Revenues in 7 years: In Conversation with Ben Uretsky, Co-Founder, Digital Ocean”

Data, AI & Hedge Funds: In Conversation with Matt Ober, Chief Data Scientist at Third Point

 

The hedge fund world has been evolving dramatically over the last few years.

Just like in other industries, software, data and AI/ML have been playing an increasingly important, and disruptive, role.  Many hedge funds have been scrambling to embrace this evolution – not just to gain an edge, but also to avoid becoming extinct.

Certainly, quantitative hedge funds have been making heavy use of software and data for a while now.  The “quant” funds rely upon algorithmic or systematic strategies for their trades – meaning that they generally employ  automated trading rules rather than discretionary (human) ones, and they will trade tens or hundreds of assets simultaneously.

But another big part of the industry, the “fundamental” hedge funds, had been operating very differently.  Those funds will perform a bottoms up analysis on individual securities to  value them in the marketplace and assess whether they are  “undervalued” and “overvalued” assets.  They’ll often have a much more concentrated portfolio.

In part because the entire hedge fund industry has been performing generally poorly recently (years of performance trailing the stock market), there’s been mounting pressure on hedge funds to evolve rapidly, particularly fundamental ones.

A couple of years ago, Third Point made a big splash when they hired Matt Ober, who was 32 at the time, to become their Chief Data Scientist.  Dan Loeb, the billionaire founder of Third Point, was a prime example of a fund manager who had reached tremendous success through a fundamental approach.  His efforts to hire Matt away from his previous employer and make him Third Point’s head quant was widely viewed as a sign of the times. Continue reading “Data, AI & Hedge Funds: In Conversation with Matt Ober, Chief Data Scientist at Third Point”