- Webinar · AWS Partner
- On demand
Smart Manufacturing in 2025 & Beyond: Real-Time Alerts, AI-Powered Analytics & Amazon Q in Action
Industry leaders and NeenOpal’s AWS team on how AI, real-time monitoring and AWS turn scattered plant data into operations you can see, predict and act on.
About this session
Why downtime is a data problem
Most plants already collect the signals that predict a failure. They sit in MES, ERP and legacy systems that never meet, so maintenance stays reactive and forecasts stay unreliable.
This session shows how manufacturers bring those signals together on AWS. It covers live machine monitoring with real-time alerts, predictive maintenance, AI-powered analytics and a conversational layer on Amazon Q that technicians actually use, delivered in weeks rather than a multi-year programme.
What you’ll get
Four things to take back to your plant
Whatever stack you run today. The full recording is free to watch below.
- A connected-plant reference architectureHow AWS IoT Core, Kinesis, Timestream and Glue bring machine, MES and ERP data into one place.
- Predictive maintenance that holds upWhich signals to monitor first, and how forecasting accuracy rose 25%.
- A command centre operators trustLive dashboards in Managed Grafana and QuickSight, with EventBridge and SNS alerts routed to the right person.
- Asking the plant a questionAmazon Q over telemetry and manuals, so a technician can ask “What’s wrong with Pump #3?” and get an answer.
Watch the recording
Results from the plants we discussed
- 30%
- Less unplanned downtime
- 15%
- Higher OEE
- 70%
- Faster fault diagnosis
- 3 weeks
- From proof of concept to full rollout
Inside the session
60 minutes- Why plants still run reactive
Unplanned downtime, fragmented data and poor forecasting: what they cost, and why the fix starts with data.
- Connecting the plant on AWS
Streaming machine data through IoT Core and Kinesis into Timestream and S3, then joining it with ERP and MES.
- Case walkthrough: an AI-powered command centre
30% less downtime, 15% higher OEE, and live in 3 weeks.
- Conversational maintenance with Amazon Q + Q&A
Technicians querying sensors and manuals in plain language, with 5x more self-service queries.
Chapter timings are approximate.
Who this is for
- Plant & operations heads
- VPs of manufacturing
- Maintenance & reliability leads
- CIOs in industrial companies
- OT/IT integration teams
Continue the conversation
Case studies, blog posts and services that pick up where this event left off.
