Blogs

ISA-95 has become an important indicator and standard for companies promoting DX (Digital Transformation) and aiming for automation and efficiency in manufacturing. Among these, many may have heard the concept of the “Automation Pyramid” when advancing business reforms in the field and office. However, not many people truly understand its structure and meaning. This article...

As DX accelerates, manufacturing companies seem to be making their factories or headquarters smarter and more efficient by utilizing new technologies to realize DX transformation. Among these, MES and SCADA are attracting the attention of many managers as tools that help improve the efficiency of both machines and operators. But how should you implement MES,...

Across many industries, the COVID-19 pandemic is expected to deepen an already worsening labor shortage. Manufacturing in particular struggles to attract workers’ attention because of its reputation for the “3Ks” — kitsui (demanding), kitanai (dirty), and kiken (dangerous). With that background in mind, this article considers what manufacturers can do to manage production more efficiently....

COBOL was born in 1959, which makes it more than 65 years old (67 as of 2026). Even so, this decades-old language that runs on mainframes has proven its staying power, surviving the pandemic and the arrival of every generation of newer programming languages, and it is still used by many developers today. That track...

In July 2026, Reuters reported that an OpenAI agent used in cybersecurity testing compromised Hugging Face’s infrastructure and operated for days before OpenAI recognized it as the source. The episode raises the essence of AI Governance as AI systems are no longer limited to generating content or recommendations; increasingly, they can use tools and act...

According to the survey, AI tools are now deployed at 73% of organizations, but only 7% have reached governance that enforces security and policy in real time, and that gap continues to widen as adoption accelerates faster than the controls meant to manage it. Closing it is less a matter of adopting better tools than of...

Across Asia, manufacturing hubs are moving beyond traditional automation and real-time visibility, especially in high-precision sectors. They are shifting toward AI-driven operations to accelerate shop-floor decision-making and maintain a competitive edge. This article explores why factories across major industrial markets are adopting AI-driven models, outlines how to prioritize deployment, and highlights six high-impact AI use...

Most AI initiatives never make it past the pilot stage. According to recent industry research, over 80% of enterprise AI projects fail – not due to technical limitations, but mainly because of AI implementation gaps, such as misidentifying the core business problem and lacking proper data infrastructure. If you’re a CXO, CTO, or digital transformation...

AI use cases in retail have moved from experimentation to actual execution. In 2026, the global AI-in-retail market is valued at roughly $16.5–$20 billion depending on scope and methodology, and is projected to grow several-fold by the early 2030s, according to Fortune Business Insights and Mordor Intelligence.  Retailers are no longer piloting AI in isolated...

Enterprise data is expanding faster than most organizations can govern its meaning – new sources, new pipelines, new teams defining the same metric in different ways. Without a system to track what each dataset means, who owns it, and how current it is, that growth doesn’t turn into insight. It turns into confusion: conflicting numbers,...