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Learn how Iguazio provided Quadient with an out-of-the-box data science platform and next-level MLOps automation capabilities, saving their data scientists and developers precious time and resources

Data Science Blog

Git-based CI / CD for Machine Learning & MLOps

ML teams should be able to achieve MLOps by using their preferred frameworks, platforms, and languages to experiment, build & train their models.

  • by Yaron Haviv
  • June 22, 2020
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Intelligent Cloud-to-Edge Solution with Google Cloud

Data gravity and privacy concerns require federated solutions across public clouds and multiple edge locations. For example, retail stores embed cameras and sensors to track customer purchases, monitor inventory and provide real-time recommendations, but face challenges as forwarding massive volumes of video and sensor data to the cloud for processing is not practical and adds...

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Will Kubernetes Sink the Hadoop Ship?

The popularity of Kubernetes is exploding. IBM is acquiring RedHat for its commercial Kubernetes version (OpenShift) and VMware just announced that it is purchasing Heptio, a company founded by Kubernetes originators. This is a clear indication that companies are increasingly betting on Kubernetes as their multi-cloud clustering and orchestration technology. At the same time, in...

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Wrapping Up Serverless NYC 2018

The serverless revolution isn’t coming soon, it’s already here! Our recent Serverless NYC 2018 show was packed due to a wide range of great speakers. After a full day of serverless insights, our big takeaway is that serverless looks primed to become the fastest growing new application architecture to be adopted for both new and...

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Take Iguazio Out for a Spin in the Cloud!

Iguazio's Real-time Analytics and AI Now Available for Trial in the Cloud We are excited to announce Iguazio is now offering a 14-day free trial of our platform's cloud version. Experience real-time performance across multi-variant data sets and accelerate the delivery of intelligent applications without the cost and capacity limitations of in-memory technologies with Iguazio's...

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