How to turn traditional Industrial Companies into Modern, Digital-Data Driven Companies
summary
A $2B industrial operator that owns and services 1,000,000 machines becomes digital by retrofitting cheap IoT feeds, using cloud APIs and Tableau dashboards to enable just‑in‑time service, predictive maintenance, dynamic pricing and auto replenishment. Pilots run as $20–40k experiments, scale to hundreds of thousands, then multimillion-dollar rollouts over 18 months to 2+ years. Results show fewer truck rolls, higher asset uptime, measurable cost savings and new revenue from data‑driven services.
AI-written summary · about
chapters (4)
- 0:00Start
- 15:49identify and quantify
- 16:28introduce tools and practices
- 17:15identify and quantify all new sources of value
related talks
31mIoT Business Models
30mCustomer centricity in manufacturing with operational improvements
16mEnterprise IoT software: Build vs. buy
22mBoosting Traditional Business by IoT and Analytics
59mInnovating power plant operations through digital twins
03mHow the IoT and machine learning keep America truckin'
26mAI will drive the industrial IoT to the cloud
43mIndustrial Internet of Things Applied to Energy Efficiency
