by Arize AI | Jan 7, 2021 | Infrastructure, MLOps, Production
Businesses in almost every industry are adopting Machine Learning (ML) technology. Businesses look towards ML Infrastructure platforms to help them best leverage artificial intelligence (AI). Understanding the various platforms and offerings can be a challenge. The ML...
by Tecton | Dec 9, 2020 | Feature Store, Infrastructure, MLOps
Today marks a big milestone for Tecton. We’re excited to announce that the Tecton feature store is now in General Availability, and that we have raised $35 Million in Series B funding from our existing lead investors, Andreessen Horowitz and Sequoia, to fuel our next...
by Fiddler AI | Nov 20, 2020 | Infrastructure, MLOps, Monitoring
We’re living in unprecedented times wherein a matter of a few weeks, things changed dramatically for many humans and businesses across the globe. With COVID-19 spreading its wings across the globe and taking human lives we are seeing record jumps in unemployment and...
by Allegro AI | Nov 13, 2020 | Infrastructure
So, if you’re a nose-to-the-keyboard developer, there’s ample probability that this analogy is outside your comfort zone … bear with me. Imagine two Olympics-level figure skaters working together on the ice, day in and day out, to develop and perfect a medal-winning...
by Superb AI | Nov 11, 2020 | AutoML, Infrastructure, Labeling, MLOps
In this post we’ll dive into the machine learning theory and techniques that were developed to evaluate our auto-labeling AI at Superb AI. More specifically, how our data platform estimates the uncertainty of auto-labeled annotations and applies it to active...
by Daniel Jeffries | Oct 16, 2020 | Infrastructure, MLOps, Open Source
With every generation of computing comes a dominant new software or hardware stack that sweeps away the competition and catapults a fledgling technology into the mainstream. I call it the Canonical Stack (CS). Think the WinTel dynasty in the 80s and 90s, with...
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