Technology Showcase Roadshow

TMA TRIBE

Where data becomes decisions.

Six working demos from Amazon Web Services, built on Toyota Motor Asia use cases. From one governed environment for data and AI, to agents that trace a cost from the production line back to the ledger.

Explore the demos Watch the videos
Live demos
6
Video walkthroughs
2
AWS services
12+
Data products
5

The lineup

Six demos, one thread

Each one stands alone, and together they trace a single path: govern the data, let the business build on it, then put agents to work on top.

Amazon SageMaker Unified Studio notebook running a SQL query with the AI agent panel open 8:56
02 Data & AI Platform

Amazon SageMaker Unified Studio

One place for everything that touches data. Serverless notebooks with a built-in AI agent, SQL and natural language side by side, visual ETL for pipelines, and a catalog that governs every data and AI asset. Business analysts, data engineers, and ML engineers all work on the same trusted data.

  • Unified Studio
  • Serverless notebooks
  • Built-in AI agent
  • SageMaker Catalog
  • Athena SQL
Amazon SageMaker Canvas showing a demand forecast with P10, P50 and P90 quantile lines 2:06
03 No-code ML

Amazon SageMaker Canvas

A no-code workspace where business teams build, customise, and deploy models themselves. This walkthrough forecasts consumer electronics demand per item and store, reads the P10 / P50 / P90 confidence band, and runs a what-if scenario. No code written, and ML experts can still pick the model up.

  • SageMaker Canvas
  • Demand forecasting
  • Quantile forecasts
  • What-if scenarios
  • Ready-to-use models

Come and try them at the booth

Every demo runs on a real AWS account with synthetic Toyota Motor Asia data. Bring a question about your own workload and we will point it at the nearest demo.

Back to the lineup