“Streamlining Development of Edge AI Solutions: A Healthcare Use Case,” a Presentation from Intel

Vaghesh Patel, Senior Software Developer, Adam Bishop, Software Product Manager, and Chen Su, Product Marketing Engineer, all of Intel, co-present the “Streamlining Development of Complete Edge AI Solutions via Customizable Reference Software – A Healthcare Use Case” tutorial at the May 2021 Embedded Vision Summit.

The need for IoT edge applications has never been greater. But complex requirements and unique connectivity, security, and latency challenges impede progress and extend time to market for software developers. In addition, many solution developers face the challenge of scaling their solutions when edge AI infrastructure differs from customer to customer.

In this Over-the-Shoulder tutorial session, you will see how the Intel Edge Software Hub helps accelerate the development of edge computing solutions and lowers barriers to creating reliable, scalable applications. This one-stop resource makes it easy for developers to quickly find, prototype, and integrate the edge computing software they need, including use-case-specific customizable reference software implementations. The presenters will use an example telepathology application to illustrate how to leverage Edge Software Hub to overcome complex networking challenges and optimize AI model deployment and management (in this case within a hospital system), making use of Intel technologies including OpenNESS and OpenVINO Model Server.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone: +1 (925) 954-1411
Scroll to Top