How AgentEngineer™ Technology Will Transform Engineering Workflows
Engineering is undergoing unprecedented transformation. Across almost every industry, product innovations are accelerating. For example, new automotive development cycles are shrinking by half, and AI chip design cycles are shrinking from three years to 12 months. At the same time, the complexity and cost of development keep rising. To match this incredible pace of innovation, while taming increasing complexity and cost, we must re-engineer engineeringTM.
To do this, we, the engineering community, must consider three levels of optimization — compute, engines and solvers, and workflows. In this post, I’m focusing on the workflows and how they are critical to re-engineering engineering. I’ll discuss how the rapidly advancing capabilities of artificial intelligence (AI), and especially agentic AI, are providing opportunities to significantly optimize workflows. From reinforcement learning to generative and now agentic AI, the increasing application of AI to engineering workflows is helping combat complexity and cost, while accelerating the pace of innovation.
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