IoT & Digital Transformation Consultant | B2B Presales & Solution Architect | Ecosystem Strategy | Partner GTM | MBA - IIT Madras
#AI is everywhere — on LinkedIn, in offices, in strategy meetings. Everyone is talking about it, learning it, and trying to apply it. But here’s a question: how much of AI is truly making an impact in real-life engagements? Take predictive maintenance as an example. With the volume of data generated, AI should be driving major operational improvements. Yet, the reality is more modest: 👉 Only ~10% of predictive maintenance projects over the last decade reached the “advanced, analytics-driven” stage. 👉 Most initiatives stall at PoC or pilot. Why? The challenge is not just technology — it’s human behavior and expectations. I worked with a manufacturing company that wanted AI vision for defect detection. We defined scope, set deliverables, and the pilot worked. But expectations ballooned — they wanted more from day one. Meanwhile, staff worried about job security and even threw in “stress tests” (like turning off all the lights during inspection 😅). The project reminded me of a few critical truths: 1️⃣ No technology is a magic wand 2️⃣ Clarity on objectives and milestones is non-negotiable 3️⃣ Real-world feedback matters more than theory 4️⃣ Human behavior often makes or breaks adoption ✨ AI’s promise is real — but success lies in starting small, winning small, and scaling gradually. Technology may be advanced, but adoption is still very human. #AI #ArtificialIntelligence #IoT #DigitalTransformation #Industry40
Check out the paper from MIT released last week or so..supports some of your assertions
Manager at Rashtriya Ispat Nigam Limited, Vizag Steel Plant
4wWell versed draft about AI. There is no doubt that AI has tremendous scope especially in the manufacturing sector. One major hurdle I have observed is trust issues. Even well experienced professionals don't easily trust complete AI automation modules, they feel sigh of relief with some human touch. But this is a behavioral aspect, it changes with time. Since, manufacturing is one such area where it caters large labour, job security is definitely a genuine concern. But over a period of time AI is going to replace human resources to a large extent, this is inevitable. Now, balance is the need of the hour. Policy interventions are required wherever AI is deployed.