Unleash the power of real-time data
summary
Woodside and Versent build a cloud‑native edge‑to‑cloud pipeline that ingests plant alarms and time‑series tags directly from the OT domain into AWS via DMZ endpoints, replacing multi‑hop historians and cutting acquisition from ~15 minutes to seconds — a 95–99% latency reduction. The stack uses AWS IoT SiteWise for modeling and calculations and IoT Greengrass for edge collection, enables alerting by SMS/email, decommissions legacy apps, and delivers a working dashboard in about a week.
AI-written summary · about
chapters (13)
- 0:00Introduction and welcome
- 1:31Speaker introductions
- 3:34Vision behind Windfall platform
- 6:05How Windfall platform works
- 9:40Reducing data latency impact
- 12:10Key benefits for Woodside
- 14:38Challenges and solutions
- 17:30Success stories and adoption
- 20:18Future plans for Windfall
- 22:02Importance of partnerships
- 23:05AI and ML integration
- 25:53Advice for digital transformation
- 29:02Closing and Q&A
related talks
36mHarnessing the Full Potential of IoT Data with AWS
16mFrom OT Data Challenges to AI-Driven Operations on
29mData-driven Transformation With AWS IoT
35mReal-time analytics at IoT scale
44mHarness the full potential of your IoT data
18mIntelligent OT-Data Pipelines - Machines to Clouds
28mHow Stockland accelerated data-driven insights on AWS
25mAccelerating Data Processing and Consumption for Building Modern Apps at the Edge
