Azure Data Explorer deep dive webinar

Take advantage of the decades of breakthrough research, responsible AI practices, and flexibility that AI offers to build and deploy your AI solutions.

Access high-quality vision, speech, language, and decision-making AI models through simple API calls. Create your machine learning models with tools like Jupyter Notebook, Visual Studio Code, and open-source frameworks like TensorFlow and PyTorch.

Agenda:

Built for specific business scenarios:

  • Modernize business processes with task-specific AI to solve common scenarios.
  • Accelerate development with built-in business logic that enables you to launch solutions in days—not months.
  • Run responsibly anywhere with security that extends from the cloud to intelligent edge.

Embed a comprehensive family of customizable cognitive APIs for vision, speech, language, and decision-making:

  • Easily access sophisticated AI models with the most comprehensive portfolio of domain-specific AI capabilities on the market.
  • Build confidently with the first AI services to achieve human parity in computer vision, speech, and language.
  • Deploy anywhere from the cloud to the edge with containers.
  • Get started quickly—no machine-learning expertise is required.

Use an end-to-end platform for building, training, and deploying machine learning models:

  • Develop with your choice of tools with Jupyter Notebook, drag-and-drop designer, and automated machine learning.
  • Create and deploy models at scale using automated and reproducible machine learning workflows.
  • Innovate responsibly with a rich set of built-in responsible capabilities to help you understand, protect, and control data, models, and processes.
  • Build your way with best-in-class support for open-source frameworks and languages, including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.