by Pachyderm AI | Jan 19, 2023 | Uncategorized
Data-centric AI marks a dramatic shift from how we’ve done AI over the last decade. Instead of solving challenges with better algorithms, we focus on systematically engineering our data to get better and better predictions. But how does that work in the real world?...
by InfuseAI | Jan 17, 2023 | Uncategorized
Data monitoring is essential Once your data pipeline reaches a certain complexity, the requirement for some kind of monitoring is unavoidable. When you get the call (hopefully monitoring can help you avoid the call) that a dashboard is broken because data isn’t being...
by Iguazio | Jan 13, 2023 | Uncategorized
Two main challenges are hindering the adoption of AI for enterprises and government agencies. The first is an increase in the need for hybrid solutions to manage data and data science applications, to address data locality in accordance with a rise in regulation and...
by Ben Epstein | Jan 11, 2023 | Uncategorized
Book description Machine learning has accelerated in several industries recently, enabling companies to automate decisions and act based on predicted futures. In time, nearly all major industries will embed ML into the core of their businesses, but right now the gap...
by Superwise | Jan 9, 2023 | Uncategorized
Due to the increased usage of ML-based products within organizations, a new CI/CD like paradigm is on the rise. On top of testing your code, building a package, and continuously deploying it, we must now incorporate CT (continuous training) that can be stochastically...
by Modzy | Jan 6, 2023 | Uncategorized
There are many different types of hardware that can accelerate ML computations – CPUs, GPUs, TPUs, FPGAs, ASICs, and more. Learn more about the different types, when to use them, and how they can be used to speed up ML inference and the performance of ML...
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