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Data science drift MLOps

How to Tap into Higher-Level Abstraction, Efficiency & Automation to Simplify your AI/ML Journey

April 6, 2021

Reduce micro-service sprawl with NetApp Astra, to abstract away complexity and accelerate AI deployment.

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Data science gartner Industry MLOps News

Iguazio Receives an Honorable Mention in the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

March 11, 2021

Iguazio has received an honorable mention in the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms, for the second year in a row.

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Data science drift MLOps Model monitoring

Concept Drift Deep Dive: How to Build a Drift-Aware ML System

February 25, 2021

Can your ML applications cope with the unexpected? We're sharing a deep dive into building a drift-aware ML system.

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AWS Data science Intelligent Edge MLOps

Accelerating ML Deployment in Hybrid Environments

February 8, 2021

Deploying AI on local AWS Outposts environments using the Iguazio platform provides a simple way for ML teams to work (and leverage the same APIs and tools) across hybrid cloud and edge environments, without compromising on speed or performance.

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Dask Data science Kubernetes MLOps

Handling Large Datasets in Data Preparation & ML Training Using MLOps

January 18, 2021

Explore how to use Dask over Kubernetes when handling large datasets in data preparation and ML training, with code examples and a link to a full demo, as well as practical tips to get you started.

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The Importance of Data Storytelling in Shaping a Data Science Product

January 4, 2021

Data storytelling focuses on communicating insights to audiences through the use of compelling visuals and narratives. It can give new perspectives on increasingly complex, expanding and rapidly changing data sets.

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      • Ad-Tech
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      • Energy and Utilities
    • By Use Case
      • ML Pipeline Orchestration
      • Model Monitoring
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      • GPU as a Service
      • Serverless Automation
      • Data Mesh for MLOps
      • Secure IT Environments
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    • What are the Advantages of Automated Machine Learning Tools?
    • Integrating MLOps with MLRun and Databricks
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