Azure Data Explorer deep dive webinar | Sela.
Sela. | Cloud Better.

Azure Data Explorer deep dive webinar

Learn and discover a portfolio of AI services designed for developers and data scientists.

Kfir Gur Ari, Cloud Data & AI Specialist Lead  

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.