Data Science Blog

Iguazio Releases Version 2.8 Including Enterprise-Grade Automated Pipeline Management, Model Monitoring and Drift Detection

Version 2.8 includes an exciting set of features that help users to build and manage their operational machine learning pipelines. We’ve introduced a new set of functionalities around MLOps which assists in solving some common challenges in bringing AI to production. And this is only the beginning.

  • by Adi Hirschtein
  • June 2, 2020
Iguazio Releases Version 2.8

CNCF Webinar on Serverless and AI

iguazio's Yaron Haviv and Microsoft's Tomer Rosenthal provide an overview of serverless architectures and the efforts to encourage collaboration and portability through CNCF working groups. Skip to minute 38:54 for a demo of nuclio on Azure.

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In 2018, Can Cloud, Big Data and AI Stand More Turmoil?

The amount of new technologies in 2017 has been overwhelming: The cloud was adopted faster than analysts projected and brought several new tools with it; AI was introduced into just about all areas of our lives; IoT and edge computing emerged; and a slew of cloud-native technologies came into fruition, such as Kubernetes, serverless, and...

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Tutorial: Faster AI Development with Serverless

https://hackernoon.com/tutorial-faster-ai-development-with-serverless-684f3701b004 The two most trending technologies are AI and serverless and guess what? They even go well together. Before getting into some cool examples, let’s start with some AI basics: AI involves a learning phase in which we observe patterns in historical datasets, identify or learn patterns through training and build machine learned models. Once...

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Cloud Native Storage: A Primer

We recently debated at a technical forum what cloud native storage is, which led me to believe that this topic deserves a deeper discussion and more clarity. First though, I first want to define what cloud native applications are, as some may think that containerizing an application is enough to make it “cloud-native.” This is...

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AWS re:Invent is about Data, Serverless, and AI

AWS re:Invent is all about how managed data services, serverless, and AI work together to enable new business applications. The focus is shifting from building the infrastructure of your choice in a playground that has an endless number of toys (services) to an opinionated, pre-packaged approach that enables customers to focus on business applications. Why? Businesses are aligning with the...

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