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Vision for AI/ML enabled decision-making in Manufacturing industry
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Agentic AI in Steel: Why Your Plant Already Has the Data, But Not the Decisions20 June 20265 min readYour plant doesn't have a data problem. It has a 40-minute problem: the gap between something changing on the floor and someone actually acting on it.
Here's what agentic AI really closes in steel manufacturing, and the five questions worth asking before your next AI budget cycle.
Unlocking AI's Potential in the Steel Industry15 June 202610 min readDiscover how hands-on experience and data-driven strategies in steel production can unlock AI's potential for operational efficiency and innovation.
Nobody Gets a Bonus for Clean Data2 June 2026Why "fix your data first" is bad advice for AI in steel. Forget AI-first vs data-first—start with the business problem and let the feedback loop do the rest.
I built a clinical tool with AI. Now I'm seeing the steel mill in everything.31 May 202615 min readBuilding Software in a Domain You Don't Know. A developer built a clinical tool with AI as thinking partner, not auto-complete. Here's what worked, what didn't, and how the pattern transfers to industrial software.
Accelerating Steel Innovation with AI: Strategies for Success31 May 2026AI is transforming the steel industry by improving efficiency, quality, and decision-making, but successful adoption requires more than technology alone. Strong executive sponsorship, effective change management, workforce upskilling, and continuous performance measurement are essential to turning AI initiatives into lasting business value.
Integrating AI into Supply Chain Workflows in Steel Manufacturing23 May 2026Also on LinkedInIntegrating AI can lead to significant improvements in legacy supply chain systems, making them more efficient and responsive to market demands.
AI-Driven Enterprise Physiology Model29 April 2026Also on LinkedIn
Move Fast, Break Things, Learn Faster: Why Fear Is the Only Bug You Can’t Fix25 April 2026Also on LinkedIn
The Future Doesn’t Prototype, It Generates: From Idea to Production in 48 Hours16 April 2026Also on LinkedIn
From Steel to Silicon: Building an AI Operations Copilot for Hot Rolling Mills11 April 2026Also on LinkedIn
The AI Fear Feels New. History Says Otherwise!7 April 2026Also on LinkedIn
I Tried Coding It First. This No-Code Approach Worked Better.4 April 2026Also on LinkedIn
Thinking Before Building: How “Ensemble Prompting” Changed the Way I Create with AI24 March 2026Also on LinkedIn
The Conversational Control Room: Bridging Decades of Expertise with NLP14 March 2026Also on LinkedIn
The Predictive Surface: Eradicating Defects with AI-Driven Computer Vision and Digital Twins8 March 2026Also on LinkedIn
The Rise of Agentic Microservices in Steel Manufacturing1 March 2026Also on LinkedIn
From Power to Purpose: How India’s MANAV Vision Shows the Real Future of AI22 February 2026Also on LinkedIn
The End of the "Coder" Era: Why Your Product Idea Is Now More Important Than Your Syntax11 February 2026Also on LinkedIn
The Heavy Industry AI Manifesto: Why Most Plants Fail and How to Build a Transformation That Sticks8 February 2026Also on LinkedIn
Beyond the Hype: Is Your Steel Plant AI-Literate or Just AI-Equipped?1 February 2026Also on LinkedIn
Decision-Centric Thinking in Steel: Making the Invisible Visible29 January 2026Also on LinkedIn
The Death of the "Perfect Plan": Why Steel Plants Must Become Disruption-Native24 January 2026Also on LinkedIn
The Steel Industry’s Hidden Barrier: Why Even "Perfect AI" Won’t Fix Everything18 January 2026Also on LinkedIn
From "What If" to "Wow!": My Journey Building a Custom AI Talent Shortlister (And Why YOU Should Build Too!)11 January 2026Also on LinkedIn
The Invisible Decay: Why Steel’s Most Critical Decisions Are Made Too Late3 January 2026Also on LinkedInAI Driven Order Balancing in Steel: From Quantity Control to Stability Management30 December 2025Also on LinkedInAI‑driven Order Balancing does not eliminate uncertainty in steel manufacturing; it makes the system less fragile in the face of it. By reframing balance as a dynamic, probabilistic state and by equipping planners with early warning signals and structured flexibility, steel producers can achieve higher delivery reliability, lower hidden inventory risk, and more stable operations.
The Most Frequent Decision in a Steel Plant and How AI Learns From It28 December 2025Also on LinkedInNo articles match these filters.