Software Alternatives, Accelerators & Startups

AI Strategy Guide: How to Scale AI Across Your Business

Dagster Colaboratory Apache Airflow
  1. The cloud-native open source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.
    Pricing:
    • Open Source
    Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities.

    #Utilities #Analytics #Analytics Integrator 2 social mentions

  2. Free Jupyter notebook environment in the cloud.
    Pricing:
    • Open Source
    Model execution is about making your AI model available to the end user. Great results only your laptop or Google Colab notebook won't cut it in a business. The AI model has to integrate with your business IT if it's going to deliver value.

    #Development #Education & Reference #Education 209 social mentions

  3. Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
    Pricing:
    • Open Source
    Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities.

    #Workflows #Workflow Automation #Data Pipelines 66 social mentions

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