Season 1

S1E18: Stateful Computing, Continuous Intelligence, and Edge AI

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S1E18: Stateful Computing, Continuous Intelligence, and Edge AI
November 11, 2020
54
 MIN

S1E18: Stateful Computing, Continuous Intelligence, and Edge AI

This episode features Simon Crosby, CTO of SWIM.AI.

Simon Crosby
guest

Simon Crosby

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Episode Transcript

Episode Summary:

Today’s episode features an interview between Matt Trifiro and Simon Crosby, CTO of SWIM.AI.

Simon’s impressive resume spans two decades in technology and includes highlights such as co-founder and CTO at XenSource, co-founder and CTO at Bromium, and CTO of Data Center and Cloud at Citrix.

In this interview, Simon discusses how SWIM is solving the problem of stateless computing with its edge intelligence software that focuses on edge-based learning for fast-data and continuous intelligence.


Key Quotes:

“We’re moving from a world of big data, where you could reasonably store it all and then think about later, to one where data flows are boundless and you need to process it on the fly. You need to continuously process and analyze streaming data to get continuous intelligence to make your organization more responsible. But the big change is that, whereas before you could reasonably think about big data as a way to store stuff and then analyze it, now you can't.”

“The cloud has been tremendously successful really because of two big things. One is rest, which is stateless computing, and the other one is databases…But the problem with that is that stateless computing is a million times slower than the CPU. A million times slower. That means the difference between hours versus milliseconds in terms of getting results."

“In this era, we have data flows which are boundless. They never stop. And the data within them is of ephemeral value. So you can't store it and get to it later because later it’s useless. What you care about is that some representation can predict what's going to happen next, but you don't care about the past. So we have ephemeral data value and infinite data, and you need to compute on it continuously…and that's a whole new approach, algorithmically and mathematically.”

“We shouldn't apply AI to situations where the marginal cost of being wrong is high…if the cost of being wrong is very high, like somebody dies, just don't do it. But if the cost of being wrong is marginal who cares? Like my Uber may stop at a red light, who cares? Right? We're still better off…There are tons of opportunities for making the world better, where if you're wrong, you don't make it worse.”

Sponsors:
The featured sponsor of this episode of Over the Edge is Ori Industries. Ori Industries is building the world’s largest edge cloud. Their products power the next generation of intelligent applications through unparalleled access to major communication networks worldwide. Ori is laying the foundations for application developers to seamlessly deploy to uncharted edge computing infrastructure across the globe. Learn more at ori.co


Links:

www.swimos.org

Connect with Matt on LinkedIn

Follow Simon on Twitter