Engineering at the Edge is a four-part webinar series exploring how engineering teams are evolving as system performance and complexity accelerate.
Over the past two years, advances in data rates, frequency ranges, AI system scale, and production demands have pushed traditional validation approaches to their limits and forced engineers to explore new approaches.
From pre-silicon design and lab-based measurement to large-scale network traffic emulation and manufacturing test, each session examines how engineers are adapting tools, methodologies, and workflows to validate next-generation systems earlier, faster, and at greater scale.
Episode One
Learn how rising data rates and shrinking margins are driving earlier, model-based validation strategies.
Episode Two
Explore how wider frequency ranges and broader bandwidths are raising the bar for measurement fidelity.
Episode Three
Find out why AI infrastructure scale is making realistic traffic emulation essential to validating network performance.
Episode Four
Learn how semiconductor and PCBA complexity is increasing pressure on production test coverage, yield, and reliability.
Data rates have doubled, but validation methods have not kept pace. As PCIe, DDR, and multi-terabit optical interconnects evolve, engineers are encountering signal integrity challenges much earlier in the design process.
Join Niels Faché, Senior Vice President and General Manager of Design Engineering Software at Keysight, to explore where validation becomes more challenging as speeds increase, and how engineering teams are adapting. You’ll learn how simulation, architecture modeling, and high-fidelity measurement help validate designs before silicon exists and reduce downstream risk.
As systems move into higher frequencies and wider bandwidths, small measurement errors can lead to costly design decisions. Engineers working in wireless, radar, satellite, and optical domains must now validate signals that push existing tools to their limits.
Join Jun Chie, Vice President of Product Management at Keysight, to explore where measurement fidelity begins to break down, and how engineers are adapting. You’ll see how next-generation instrumentation helps improve signal accuracy, reduce uncertainty, and increase confidence in design decisions.
AI data center networks now operate at a scale where device-level validation no longer reflects real performance. Engineers must understand how systems behave under realistic traffic conditions, not just in isolated tests.
Join Ram Periakaruppan, Vice President and General Manager of Network Applications and Security at Keysight, to learn how large-scale traffic emulation reveals congestion, latency issues, and performance limits. You’ll see how to validate AI infrastructure under real workloads and ensure it performs reliably at scale.
As semiconductor complexity increases and board designs become denser, manufacturing teams face tighter tolerances, reduced test access, and rising pressure to maintain yield and throughput. Validating RF performance and high-speed digital signal integrity at production scale adds a new layer of complexity that traditional approaches struggle to address.
Join Jason Kary, Senior Vice President and President of Keysight’s Electronic Industrial Solutions Group, to explore how manufacturing validation is evolving. You’ll learn how wafer-level and in-circuit test strategies improve coverage, detect defects earlier, and enable consistent, high-volume production at scale without compromising quality.
June 4 - June 25
June 3 - June 24
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