Discrete Manufacturing
The End of “Rip and Replace”? Why the Future of Manufacturing is Software-Defined
In the fast-paced world of industrial automation, manufacturers face a brutal dilemma. On one hand, the market moves at breakneck speed, demanding agility and new digital capabilities. On the other hand, plants are filled with assets…
The New Skills Gap: What’s at Stake in the Global Chip Race
Employer-educator partnerships are key to overcoming the semiconductor talent shortage, accelerating innovation, and maintaining economic competitiveness. Fabrication labs, known as “fabs,” are the linchpin of the semiconductor industry. Fabs are where microchips are manufactured — the…
Your Most Critical AI Model Isn’t an LLM: It’s Your Document Pre-Processor
A decisive shift is underway for manufacturers implementing artificial intelligence. The focus is moving from the selection of large language models to the systems that prepare data for them. The accuracy and trustworthiness of any AI-driven…
The Overlooked Data Problem Slowing Down Manufacturing AI
While manufacturers invest in AI and digital twin programs, the Adlib ebook “AI-Powered PLM in Manufacturing” reveals that most of the data required for those initiatives is buried in documents that machines can’t read. Across the industry,…
When Yield Becomes Sustainability — Redefining Efficiency in Semiconductor Manufacturing
In semiconductor manufacturing, every scrapped wafer wastes electricity, water, and chemicals. Siemens' Brian Taylor states that sustainability "is not a separate track" from yield and throughput. The most efficient fab is, by this measure, the most…
Industrial AI in Practice: Siemens Transforms Factory Data into Performance
At the Siemens Electronics Factory in Erlangen, Artificial Intelligence is not an experiment—it’s part of everyday production. The facility shows how industrial AI can improve how machines sense, analyze, and act, helping teams turn factory data into measurable results.…
Why Every Semiconductor Fab Needs a Digital Twin Strategy — Not Just Digital Tools
Brian Taylor, Head of Electronics and Semiconductor US at Siemens, explains why semiconductor fabs costing tens of billions of dollars need a connected digital twin strategy that links chip design through equipment behavior to facility management,…
What Makes the Difference Between an IIoT Pilot That Stalls and One That Scales?
Across the industrial sector, many companies launch promising IIoT pilots. Yet only a fraction of them manage to expand those proof-of-concepts into enterprise-wide deployments. The difference isn’t usually about ambition—it’s about execution. At AI Frontiers 2025,…
Rethinking Operational Precision: Why Indoor Industries Need Their GPS Moment
Do you remember life before GPS? Many of us can, but only faintly — folding maps in the car, printing directions, or stopping at gas stations for help. It wasn’t long ago, yet it already feels…
The End of the Pixel Counter Era — How AI Is Quietly Transforming Semiconductor Manufacturing
AI is changing how semiconductor fabs inspect wafers and maintain equipment. AI vision systems now train on as few as five images to distinguish real defects from acceptable variation, cutting false alarms and costly reworks. Predictive…
Modernizing Without Disruption: A Practical Approach to Industrial Data Growth
Industrial operations depend on data historians to record what’s happening on the line or in the field. But as systems evolve toward Industry 4.0, many teams find that their historians weren’t built for what’s next —…
How AI and the Digital Thread Improve Machine Tool Systems
Artificial intelligence and digital connectivity are transforming how machine tools operate — from the way parts are designed and programmed to how data flows across production. The combination of AI-driven automation and a digital thread enables…