Blog
Insights and news on industrial AI.
Private AI: from the cautious option to the default
Open models have come close to the best, and organizations worldwide are bringing sensitive AI home. In Iran, keeping work running is at stake too.
From chat to work: why many AI agent projects fail
Gartner expects over 40% of agentic AI projects to be cancelled by 2027. What the successful organizations do differently, and what it means in industry.
A quarter of the world's DRI, and quality known hours late
Iran is the world's second-largest DRI producer, yet product quality is known only hours later in the lab. How a soft sensor closes the gap.
Why a digital twin starts with the P&ID drawing
Most plants keep their P&IDs as PDFs or scans, out of step with their instrument lists. Why that blocks digitization, and how AI helps.
Online or offline language models: which fits your organization?
Cloud-hosted language models compared with models that run on your own servers: data security, cost, hardware, and where each one fits.
When executives break AI policy too: why a policy alone is not enough
A CalypsoAI survey finds that employees and executives bypass AI rules to get work done. The answer is a safe, approved tool, not more bans.
Cloud, on-premises or hybrid: where should industrial AI run?
Organizations are bringing sensitive AI work back onto their own servers. Four questions to decide where each workload should run.
IBM's 2025 breach report: ungoverned AI makes data breaches costlier
IBM's 2025 Cost of a Data Breach report finds most organizations have no rules or access controls for AI. What that means, and where to start.