Global Artificial Intelligence Virtual Conf - Webinar Mar 2022
summary
Multi-tiered digital twins model supply chains as networks, stateful machines and multiplayer games and enable simulated annealing optimization for inventory allocation starting from ABC/XYZ baselines, ingesting external signals (news, web search) and simulating shocks like demand doubling, supplier bankruptcy or a ship stuck in the Suez Canal to recommend stock vs build decisions and improve KPIs. Model development pipelines emphasize SQL ETL, three data origins (behavior, feedback, synthetic), feature templates (profiling, aggregated behavior, density, contextual) and binning. Financial monitoring reports a shift from rules to ML with measurable false positive reduction but faces regulator scrutiny, data quality, retraining and real‑time data challenges.
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chapters (12)
- 0:00Introduction
- 0:30Supply chains are complex
- 9:47Sample inventory allocation
- 10:41AI in Supply Chain
- 12:15ML Model Development Recap
- 12:59Data Collection
- 14:53Data Collection Skills
- 18:06Feature Extraction Template
- 20:38Feature Transformation
- 23:17Training
- 23:35Conclusions
- 24:56Approach Speaker
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