Ask the Expert Webinar Series

How Do I Streamline AI Project Workflows?

May 14 • 11 a.m. ET • Cost: Complimentary

About the webinar

Speakers from SAS and Microsoft will demonstrate how the two companies’ partnership simplifies the deployment and daily operations of AI models across different hardware environments.

This webinar will showcase the flexibility, efficiency and scalability of combining SAS Event Stream Processing with ONNX Runtime and Microsoft Azure, addressing common challenges in AI model deployment and execution.

Attendees who want to deepen their understanding of real-time computer vision inferencing and model deployment will benefit from this webinar.

You will learn to:

  • Streamline AI project workflows by integrating SAS Event Stream Processing with ONNX Runtime and Microsoft Azure.
  • Integrate ONNX Runtime with SAS Event Stream Processing to create real-time streaming analytics with simplified testing and deployment on a variety of hardware alignments.
  • Jump-start projects with sample projects and code examples on GitHub to deploy ONNX models efficiently and effectively.

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About the expert

Daniele Cazzari

Global Lead IoT, Edge and Cloud Analytics Solutions, SAS

Daniele brings over 10 years of experience in IoT architecture. He currently serves as a technical lead for cloud-native SAS IoT solutions and products. His primary objective is to streamline the processing and analysis of data derived from edge devices.

Rik de Ruiter

Senior Systems Architect, SAS

Rik is a technical product manager in the SAS IoT division, where he is dedicated to improving real-time inferencing and open source integration for IoT applications. His focus is on making it easier to solve real business cases using AI.

Aaron White

Principal Product Manager, IoT, SAS

Aaron’s core mission is to bridge customer needs and market insights with the development of SAS Event Stream Processing, ensuring the product aligns with the company's strategic objectives.

Natalie Kershaw

Senior Technical Program Manager AI Frameworks, Microsoft

Natalie is a principal program manager in the AI Frameworks team at Microsoft, focusing on developer experience with ONNX Runtime. She came to program management via an electrical engineering degree, chip design, software engineering and content development. Most recently she has been working with the ONNX Runtime team to incorporate generative AI across the wide range of hardware and devices that ONNX Runtime supports. Natalie moved to the US from Australia nearly 10 years ago and has been at Microsoft for five of those.