Customer centricity in manufacturing with operational improvements
summary
Cloud services and partner solutions are presented as the tools to digitize factories and supply chains: AWS IoT SiteWise for asset data at scale, Edge options like FreeRTOS, Snowball, Outposts and IoT Greengrass for low‑latency decisions, and ML products—Amazon Lookout for Equipment/Lookout for Vision, SageMaker, Amazon Forecast—deployed via Panorama appliances or Monotron hardware. A customer example shows INVISTA used an AWS Data Lake + SAP ERP to predict order volume and auto‑stock, while cautioning that scaling from one asset to hundreds and automating hundreds of small process decisions remains the hard part.
AI-written summary · about
chapters (18)
- 0:00Intro
- 0:21Digital transformation in manufacturing
- 3:20Is digital transformation easy
- 8:54Where to start
- 13:02Customers
- 13:38Vista
- 14:27Getting to value
- 15:30Amazon experience
- 16:46How to start
- 17:34Broad capabilities
- 19:11AWS Industrial
- 22:24Machine Learning
- 24:16Amazon Virtual Land
- 26:01Engaging with AWS
- 26:37Consulting and Technology Partners
- 27:03Management Consulting
- 28:08Training
- 28:55Outro
related talks
49mReinvent operations and the digital transformation playbook
30mAWS powers edge-to-cloud solutions
31mRealizing Industrial AI at Scale with
26mInnovate with AWS: Enabling industrial ops at Amazon fulfillment centers
15mAWS On Air Industry Review ft. Automotive
47mReady, set, innovate: Building for the future
25mTransform your business with data-driven insights
02mon Industrial Innovation
