Artificial Intelligence & ML
From Pilot Purgatory to Generative AI: Building Scalable IIoT and Machine Learning in Manufacturing
Most manufacturing organizations experimenting with generative AI never make it past the pilot stage. Many organizations remain stuck in "pilot purgatory": running isolated projects that never scale across sites. The promise of IIoT and machine learning…
AI Frontiers 2025: Driving the Next Revolution in Smart Manufacturing
On Wednesday, September 10, 2025, IIoT World will host AI Frontiers 2025: Driving the Next Revolution in Smart Manufacturing, a free online event bringing together global leaders in AI, industrial data, IIoT, and digital transformation. This one-day virtual conference…
Securing Agentic AI with Digital Trust
Agentic AI is rapidly moving from research labs into production environments, powering everything from autonomous workflows in supply chains to connected medical devices and industrial automation. Unlike traditional generative AI, which produces outputs based on prompts,…
Before the AI Magic: Why Manufacturing’s Biggest GenAI Problem Is Still Data
Generative AI promises a revolution on the shop floor—faster decision-making, adaptive production, smarter quality control. But ask any manufacturing leader what’s actually slowing things down, and you won’t hear about algorithms. You’ll hear about data. At…
AI as a Skill Multiplier in Manufacturing, Not a Replacement
The manufacturing skills gap continues to grow. Rather than viewing AI as a wholesale replacement for human labor, forward-thinking manufacturers are deploying it as a skill multiplier , amplifying the expertise of existing workers so that…
Why AI Success in Manufacturing Starts with Leadership, Not Code
Most conversations about AI in manufacturing focus on algorithms, data pipelines, and compute infrastructure, but the evidence increasingly points to a different success factor: leadership. According to industry research, over 70% of AI pilot projects in…
The AI Gap: Can Manufacturing Keep Up With the Pace of Innovation?
Manufacturing faces a widening AI readiness gap: AI capability is doubling every 3.5 months, a 100x improvement in a single year, according to data cited during an IIoT World panel session. Yet industrial adoption remains slow…
The Industrial AI Payoff: Where ROI Is Happening and What’s Shaping What’s Next
Industrial AI has moved beyond the proof-of-concept phase, and manufacturers now face a critical question: where is the real return on investment? In this analysis, IIoT World examines the specific use cases, from predictive quality to…
Exploring Sovereign Datacentre’s with Scaleway
As industrial AI workloads grow in complexity and regulatory scrutiny, the question of where data lives and who controls it has become a strategic priority for manufacturers and critical infrastructure operators across Europe. In this article,…
The Rise of Industrial AI: Automation Trends to Watch in 2025
Industrial AI is no longer an emerging concept; it is actively transforming how manufacturers automate processes, predict failures, and optimize output. In this guide, IIoT World examines the most significant industrial AI and automation trends that…
The Good, The Bad, and The Ugly of AI
A Human Story Repeating Itself Throughout history, the development of technology has been met with a blend of awe, excitement, fear, and resistance. Whether it was the discovery of fire, the invention of the wheel, the…
AI in Manufacturing Enters Its Third Wave: The Rise of Autonomous Agents
Manufacturing AI is evolving beyond dashboards and predictive alerts into a new paradigm: autonomous agents that can perceive their environment, reason about constraints, and take action without waiting for human approval. This IIoT World explainer maps…