​A case study, demo, and model for how product leaders can use AI to scale firmware testing.

• ​Learn how utilizing AI in testing can increase speed and decrease cost, scaling with your specific team size and constraints.

• ​We're break down how a leading medical device manufacturer used AI to increase their firmware testing time by 3x, getting their products into the market faster.

​AI-powered firmware testing for 3x speed

​Implementing a truly comprehensive set of unit tests requires many hours manually designing, writing, and debugging test code.

• ​What if the time required to develop and implement test cases was compressed from a three-hour manual effort down to one hour?

​In this live demo and case study for engineering leaders, Firmware Engineer Peter Cornwell will break down his method for rapid medical device unit testing with AI.

​What we'll cover

• ​Demo of the actual AI testing method used, a repeatable workflow for creating and maintaining unit tests for embedded C/C++.

• ​A framework for determining whether (and when) AI is right for your specific firmware use case.

• ​Q&A with the engineer who built the AI testing workflow.

​Presenters

​Electrical Engineer and author of the AI-powered testing workflow, Peter Cornwell

​Peter is an Electrical Engineer with extensive analog front-end design and bare-metal firmware programming experience in industrial data acquisition devices. He holds a degree in Engineering from the British Columbia Institute of Technology. Peter previously worked on industrial performance monitoring devices at one of the world’s largest pump manufacturers. While there, he focused on most portions of the product lifecycle including hardware and firmware R&D, product maintenance/support, and obtaining hazardous location certifications (ATEX, IECEx, QAN, QAR).

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​Product & Innovation Director Reginald Orton

​Reginald has helped companies across the globe create innovative, user-driven product experiences. He previously co-founded BRCK, a telecommunications hardware startup working in Africa and emerging markets, whose products included tablets for education, servers, and LTE systems and towers. Before that he spent most of his career in Europe and North America building medical devices and point-of-care diagnostic systems. Reginald will help you determine whether (and when) AI testing fits into your hardware development process.