tag: data management

The Architecture Decisions Behind A Production-Ready EDA AI Agent
By Emma-Jane Crozier - 09 Jul, 2026 - Comments: 0

The conversation about agentic AI in semiconductor and PCB design tends to focus on capability: what the agent can do, how much time it saves, and which parts of the workflow it can automate. That is a reasonable place to start, but that is not where the hard engineering happens. Organizations are now asking whether AI agents can take on meaningful portions of the workflow, not as assistants th... » read more

From Data Accumulation To Data Activation: AI-Driven Data Feed Forward For Chiplet-Based Test
By Greg Prewitt - 07 Jul, 2026 - Comments: 0

For most of the industry's history, the lever for semiconductor performance gains was process-node scaling. That is no longer the whole story. As one recent industry analysis put it, advanced packaging has now displaced node scaling as the primary lever for performance gains. The consequence reaches well beyond design and assembly; it lands squarely on test. In a monolithic world, test optim... » read more

Co-Packaged Optics Testing Faces Steep Data Center Ramp
By Anne Meixner - 09 Jun, 2026 - Comments: 0

Key Takeaways: Device interface board must balance flexibility in handling with customization for different optical connectors. Test fixtures should account for DUT socketing challenges, such as warpage, coupling, and interference. Advanced data management practices will help speed yield learning. Integrating photonic and electrical ICs into co-packaged optics (CPO) requires... » read more

From Silos to Systems, from Data to Insight
By Keysight - 29 Apr, 2026 - Comments: 0

The semiconductor industry is experiencing unprecedented growth in complexity, scale, and data volume. Engineering organizations are managing larger and longer-running projects, integrating more diverse methodologies, and relying on an expanding ecosystem of specialized tools. At the same time, they face increasing demands for compliance, traceability, security, and data sovereignty. In this en... » read more

Breaking The Legacy Trap: How Semiconductor Executives Can Accelerate AI Adoption And Transform IT Applications At The Same Time
By Christophe Begue - 07 Apr, 2026 - Comments: 0

The semiconductor industry is facing a strategic paradox. AI has rapidly moved from experimental technology to a competitive necessity promising faster yield improvement, smarter supply chain decisions, and autonomous factory operations. Yet the very systems that semiconductor manufacturers depend on to run their fabs, manage their supply chains, and serve their customers were built for a diffe... » read more

AI Design Reshapes Data Management
By Ann Mutschler - 16 Mar, 2026 - Comments: 0

Key takeaways: Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and inference workloads grow, data movement, congestion, and energy efficiency become the dominant challenges, often surpassing raw compute capability. Proprietary and comple... » read more

Challenges In Moving Data In Chips
By Ed Sperling - 14 Jan, 2026 - Comments: 0

The number of processes running simultaneously inside of chips is growing, fueled by massive increases in data from AI and sensors everywhere. The challenge now, particularly in multi-die assemblies, is how to prioritize where signals go, how quickly they move, and when they're supposed to arrive at shared memories. Andy Nightingale, vice president of product management and marketing at Arteris... » read more

Transforming Data Management In EDA: Preparing For The AI Era
By Maria Castillo - 23 Dec, 2025 - Comments: 0

In today’s fast-paced electronics design automation (EDA) environment, effective data management has become essential. Growing design complexity, distributed teams, and the accelerating adoption of AI/ML are pushing organizations to rethink how they manage, track, and leverage decades of engineering data. From manual workarounds to data management Many engineers discover the importance ... » read more

Tracing The Equipment Connectivity Journey
By Bob Reback - 09 Dec, 2025 - Comments: 0

The semiconductor industry has undergone a dramatic transformation from the early days of manual integration to today's AI-driven collaboration with equipment connectivity at the heart of this evolution. Understanding these trends is crucial for any organization looking to leverage data for improved efficiency, reliability, and competitive advantage. This blog explores milestones and emergin... » read more

IP And Data Management: Challenges, Solutions, And Best-in-Class Approaches
By Keysight - 24 Nov, 2025 - Comments: 0

As electronic design becomes increasingly complex, traditional approaches to IP and design data management are reaching their limits. Fragmented systems, inconsistent documentation, and unclear version control are slowing collaboration, increasing rework, and ultimately constraining innovation. The ability to manage design data effectively is no longer a background concern — it’s a foundati... » read more

← Older posts

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2026 SMG   |  Terms of Service  |  Privacy Policy