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Explore Preeti Prasher, Stathera & Iliana Chen, Lattice | GSA Women's Leadership Initiative 2026 with 7,921 views, 103 likes, and 0 comments. Experience the impact of this video content that has captured audience attention.

In this interview from GSA Women’s Leadership Initiative 2026, Iliana Chen, senior director of program management at Lattice Semiconductor Corp., joins Preeti Prasher, chief operating officer at Stathera Inc., to talk with theCUBE's John Furrier and Alison Kosik about how AI is reshaping the path from chip design to high-volume manufacturing. Chen explains why technical program managers need deep engineering fluency to drive issue closure and exercise sound judgment on risk and waivers. Prasher details how marrying characterization data with inline manufacturing signals allows teams to predict yield excursions before test insertion, turning what was once a reactive process into a proactive one. The conversation also explores how generative AI is expanding design exploration beyond what human engineers could feasibly test, letting teams validate far more use cases and feed lessons learned directly back into layout rules. Chen highlights Lattice's new AI agent, Prompt, which lets customers describe desired functionality and receive optimized FPGA recommendations instantly. Prasher breaks down the mechanics of yield learning — distinguishing systematic from random defects — and notes that 70% to 80% of volume manufacturing issues are predictable risks detectable pre-tapeout. From AI agents automating status reporting to tools that estimate their own task coverage, Chen and Prasher illustrate how data-driven decision-making is accelerating first-silicon success and shortening time to market across the semiconductor industry. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Technical Depth in Semiconductor Program Leadership 02:20 - AI Silicon and Adaptive Yield Optimization 05:15 - Connecting Design, Manufacturing, and AI Validation 07:51 - Building Silicon Design Expertise Into AI Tools 10:35 - AI-Driven FPGA Design, Supply, and Yield Optimization 15:40 - AI Productivity Gains in Program Management 17:43 - Preserving Engineering Lessons With AI-Powered Updates 21:28 - Improving Silicon Yield and Readiness With AI #theCUBE #GSAWomensLeadershipInitiative #theCUBEresearch #LatticeSemiconductor #Stathera #Semiconductors #WomenInTech

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