Key Takeaways
- Keysight Technologies' webinar on December 17, 2025, aims to address data silos in electronic design automation (EDA) and provide strategies for innovation.
- The SOS Enterprise Collaboration platform by Keysight is designed to improve data governance and facilitate AI-driven processes in R&D environments.
- The webinar emphasizes proactive data management and AI integration, positioning organizations to leverage predictive insights and overcome design bottlenecks.

In the fast-evolving world of electronic design automation (EDA), where complexity multiplies with every nanometer shrink and AI integration, data silos are the silent killers of innovation. Keysight Technologies, a leader in design and test solutions, tackles this head-on with their webinar “From Silos to Systems, From Data to Insight” (AM Session), scheduled for December 17, 2025, at 10:00 AM PST. This free, one-hour virtual event promises to equip engineering leaders with actionable strategies to dismantle fragmented data ecosystems and unlock AI-driven efficiencies. With over a decade of expertise guiding the charge, presenter Pedro Pires—Product Manager at Keysight—brings his Master’s in Microelectronics Engineering and passion for MLOps to the forefront.
Targeted at Engineering Directors, VPs of R&D, EDA Managers, CAD Professionals, Design and Verification Leads, IT/Data Governance Executives, and AI/ML Engineers, the webinar addresses a universal pain point: disconnected design data that hampers collaboration, traceability, and reuse. In today’s global R&D landscapes, teams grapple with multi-site workflows, compliance demands, and the explosion of IP blocks—issues that Pires notes amplify “the biggest challenges today… managing complexity, ensuring governance, and preparing data for AI.” Keysight’s solution? Their SOS Enterprise Collaboration platform, positioned as the “backbone for modern engineering enterprises.”
The agenda is laser-focused on transformation. Attendees will explore transitioning from isolated silos—think scattered design files, inconsistent metadata, and siloed tools—to a unified, governed platform that fosters seamless collaboration. Pires will delve into how structured, traceable data becomes the fuel for analytics, machine learning, and AI copilots, slashing rework and accelerating design cycles. Imagine verification engineers spotting anomalies in real-time or data scientists training models on clean, enriched datasets without the drudgery of manual reconciliation. Keysight SOS shines here, offering hybrid deployment for secure, scalable operations across borders, complete with audit-ready governance and AI-ready infrastructure.
What sets this apart are the tangible benefits. Organizations adopting such systems report up to 30% faster time-to-market, reduced IP reuse errors, and empowered cross-domain visibility—critical in an era where AI agents could automate 40% of routine design tasks, per industry forecasts. Pires, drawing from his work connecting Keysight’s global teams, will share practical roadmaps: identifying shadow data in legacy tools, implementing metadata standards, and integrating with EDA suites like Cadence or Synopsys for end-to-end traceability. A standout feature is the platform’s emphasis on “agentic workflows,” where AI not only analyzes but anticipates design bottlenecks, turning raw data into predictive insights.
Beyond the session, Keysight sweetens the deal with an EM session for European audiences on the same day, ensuring global accessibility. Registration is straightforward—simply visit the event page and fill out the form (JavaScript required)—with recordings promised for those who can’t attend live. As Pires emphasizes, “That’s exactly why Keysight SOS becomes critical.” This webinar isn’t just a talk; it’s a catalyst for engineering teams to evolve from reactive data hoarders to proactive insight machines.
In a semiconductor industry racing toward 2nm nodes and beyond, ignoring silos risks obsolescence. Join Keysight on December 17 to bridge the gap from chaos to clarity, and position your organization at the vanguard of AI-accelerated design. The future of EDA isn’t in more data—it’s in making it work together.
Also Read:
An Insight into Building Quantum Computers
Podcast EP317: A Broad Overview of Design Data Management with Keysight’s Pedro Pires
Video EP11: Meeting the Challenges of Superconducting Quantum System Design with Mohamed Hassan
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