Blog

Field notes from the industry

First-hand notes from customer sites, forums, and our own R&D.

SEMICON Taiwan 2026 Zone

September 11, 20264 min read

From Taiwan to the World: MICH USA CEO Mark Ma on the Next Step for Enterprise AI

AI is evolving fast, but once it actually reaches the enterprise and the factory floor, success is no longer just about model capability — it's about whether a company's data, infrastructure, and real-world use cases are ready. During SEMICON Taiwan 2026, MICH USA CEO Mark Ma sat down for an interview to share MICH's view on enterprise AI and Taiwan's next step toward global markets.

Read the article

From Taiwan to the World: MICH USA CEO Mark Ma on the Next Step for Enterprise AI

Why Do AI Projects Stall Before Production? The Real Bottleneck May Be Data, Not the Model

Industry Event

September 11, 20264 min read

Why Do AI Projects Stall Before Production? The Real Bottleneck May Be Data, Not the Model

Generative AI and AI agents are rapidly moving into enterprise environments. From production scheduling and quality analytics to equipment maintenance, manufacturers are actively exploring where AI can create measurable business value.

Read the article

From Data Integration to Intelligent Scheduling: How LowsiteOS × AI APS Builds the Factory’s “Digital Decision-Making Brain”

Industry Event

September 11, 20267 min read

From Data Integration to Intelligent Scheduling: How LowsiteOS × AI APS Builds the Factory’s “Digital Decision-Making Brain”

When manufacturers face delivery deadlines, capacity constraints, rush orders, and constantly changing production schedules, what they need is not simply more data—they need the ability to turn data into decisions. MICH and Yu Qing Digital Intelligence bring together the data foundation of LowsiteOS and the predictive optimization capabilities of AI APS, enabling smart manufacturing to move beyond “seeing what is happening” toward “predicting what comes next.”

Read the article

Taiwan’s AI Fleet Sets Its Sights on North America: MICH Builds the Foundation for Enterprise-Grade Agents with LowsiteOS

Industry Event

September 11, 20264 min read

Taiwan’s AI Fleet Sets Its Sights on North America: MICH Builds the Foundation for Enterprise-Grade Agents with LowsiteOS

As generative AI moves from proof-of-concept projects into core enterprise workflows, companies must overcome practical barriers such as data sovereignty, AI governance, and international compliance requirements.

Read the article

From MES to AI Agents: How LowsiteOS × Smart Manufacturing Bridges the “Last Mile of Factory Data”

Industry Event

September 11, 20265 min read

From MES to AI Agents: How LowsiteOS × Smart Manufacturing Bridges the “Last Mile of Factory Data”

AI is rapidly moving onto the factory floor. But for most manufacturers, the real starting point is not choosing an AI model—it is first turning production operations into a digital environment that AI can understand. MES transforms work orders, processes, equipment activities, and operator actions into traceable production data. When this data is further connected through LowsiteOS, manufacturers can move beyond digital management toward scalable, sustainable AI applications.

Read the article

How Do the Most Regulated Industries Deploy On-Premises AI? From Pharma to Semiconductor Fabs, the Challenge Is Surprisingly Similar

Industry Event

September 11, 20268 min read

How Do the Most Regulated Industries Deploy On-Premises AI? From Pharma to Semiconductor Fabs, the Challenge Is Surprisingly Similar

As AI moves beyond general-purpose applications and into mission-critical industries such as pharmaceuticals and semiconductor manufacturing, the standards for enterprise adoption are changing.

Read the article

AI Servers Are Still in Short Supply. Is Your Factory Ready? The Next Enterprise AI Challenge Is “Data × Compute”

Industry Event

September 11, 20266 min read

AI Servers Are Still in Short Supply. Is Your Factory Ready? The Next Enterprise AI Challenge Is “Data × Compute”

MICH Sales Manager Steven Lee explains that preparing for enterprise AI goes beyond models and computing power. Manufacturers need to assess data across ERP, MES, equipment, and enterprise knowledge while planning AI server capacity, access governance, and Agent architecture in parallel. Image courtesy of MICH.

Read the article

The Real Challenge of Enterprise AI Isn’t the Model: Building the Governance Infrastructure for Data, Identity, and On-Premises AI

Industry Event

September 11, 20266 min read

The Real Challenge of Enterprise AI Isn’t the Model: Building the Governance Infrastructure for Data, Identity, and On-Premises AI

MICH Senior AI Engineer Wayne Huang explains that the real technical challenge of enterprise AI goes far beyond model performance. It lies in data semantics, identity and access control, model management, and a traceable governance architecture. Image / MICH

Read the article

From Algorithms to AI Agents: MICH CTO Michael Chang on the Next Stage of Decision Intelligence in Manufacturing

Industry Event

September 11, 20265 min read

From Algorithms to AI Agents: MICH CTO Michael Chang on the Next Stage of Decision Intelligence in Manufacturing

Generative AI is rapidly moving into manufacturing and the semiconductor industry. For enterprises, however, the real challenge is no longer simply whether AI can be adopted. The question is how AI can understand factory data, interpret manufacturing processes, and ultimately support decisions across scheduling, quoting, quality, and operations.

Read the article

Book a Demo

Start with one scenario. Get your first agent running.

Tell us the problem you most want to solve and the systems you run today, and we’ll set up a live demo on your real data. Typically your first agent is running within 4–6 weeks.

Book a DemoSpec Advisor

Fast response · Free consultation