Industry Panel Discussion 2: The Impact of AI + X in Engineering and Science

AI is gradually becoming mainstream with development teams looking at it by design rather than as an afterthought. The use of AI in industries including automobile, aerospace, manufacturing, and medical devices is advancing engineering and research and accelerating product development. Embedding AI into machines and systems makes them intelligent. AI is now broadly distributed and exists on the device, on the edge, and on the cloud. This gives enterprises significant flexibility and the opportunity to develop transformative applications that predict the remaining useful life of machines, perform remote surgeries, develop automated driver assistance systems, and more. However, the development and deployment of AI in these embedded devices is not without challenges such as limited skills, non-availability of data and data complexity, the lack of tools to build models, and integration of AI projects to scale. This panel explores the adoption of AI technologies in multiple industries and how organizations are tackling these challenges.