Hitachi applying AI in Industry 4.0 digital transformation projects
summary
Hitachi applies sensor to cloud pipelines to predict equipment failures and cut costs, fitting trains with 3,000–3,500 sensors that stream over 3G/4G into Pentaho, Kafka, Spark, Hadoop/HBase and Cloudera for time series analytics and rule engines, delivering £20 million annual savings and scaling to 300 train sets with real‑time alerts and reduced unplanned downtime. A gaming customer ingests 5 TB/day into S3/Redshift and Databricks to analyze 10x more behavior, speeding new releases from months to weeks.
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chapters (22)
- 0:00Intro
- 1:59Business Intelligence
- 3:15Data
- 4:19Play with it
- 5:02Hitachis experience
- 6:29Business challenges
- 7:28Building the solution
- 9:10Architecture
- 12:08Key outcomes
- 13:33Case study Stellar Line
- 15:31Data is agnostic
- 16:24Doom
- 17:47Analysis
- 19:28Solution
- 21:04Technical Strategy
- 21:58Adaptive Execution Engine
- 22:14Outcomes
- 23:13Challenges
- 26:11Digital transformation journey
- 27:38Hitachi Luma software
- 28:58Development process
- 29:39Conclusion
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