Tom Tunguz
MAY 24, 2023
Ten years ago, Nvidia’s market cap hovered around $4b, down from its previous high of $13b in 2008. In the late 2010s, machine learning inflated demand. Today, Nvidia is the fifth most valuable technology company in the US, worth nearly $1t - just 20% less valuable than Amazon.
Tom Tunguz
APRIL 4, 2017
Machine learning SaaS startups face another trust risk – one introduced by probability. When Nate Silver forecasted the successful election of Barack Obama in 2008 with nearly 100% accuracy across districts, probability theory shined. In both the 2008 and 2016 analyses, the math may have been correct and the theory consistent.
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Tom Tunguz
NOVEMBER 17, 2022
Machine learning has become table stakes for modern software companies - users expect apps to anticipate their needs & businesses rely on it for competitive advantage. I remember joining in 2008, a green product manager out of Google who had just landed his dream job. This era will be no exception.
The Angel VC
AUGUST 26, 2015
According to a survey by technology evaluation business Software Advice , 88% of buyers with a deployment preference preferred on-premise solutions in 2008. Here are some of them. 1) SaaS is quickly becoming the norm In the last years there’s been a dramatic shift in deployment preferences of software buyers.
Tom Tunguz
SEPTEMBER 12, 2013
The NoSQL movement launched officially in 1999 but rose to prominence much later perhaps closer to 2008 when Hadoop and other key value pair technologies became en vogue. When I joined, the Ads DB was sharded across 59 machines. And these were massive machines. Today, it’s hard to argue with the success of the movement.
Payrix
JANUARY 28, 2025
We’ve been at these anywhere from two to four years in some parts of the market going back all the way 10, 12 years from a machine learning perspective on some of these capabilities. We’ve got some competitors who are putting out new articles around using AI to increase auth rates or drive arbitrage through financials.
Intercom, Inc.
JANUARY 24, 2019
Machine learning can get the right message or recommendation out in a responsive way – not just from the customer’s next best action, but from the sales perspective, too. We learned a lot, and after the end of that exercise in the first year, we actually went from 70 to 400 apps very quickly.
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