Spotlight on AI use cases and innovators around the world
summary
Surveys and case studies show concrete outcomes: computer vision and GANs enable using images for auto and property claim pricing, while NLP/LSTM powers text and speech tasks; a roadside assistance model yields 25 fewer dropped calls per hour by forecasting extreme-weather call volume from open weather data; mobile-device MAC tracking produces a Lorenz-style rank ordering for repeat visits but fails on the bottom 40%; small datasets (<300 records) use regression, and neural nets outperform with >1M records and multiple hidden layers; some problems (point-in-time water demand) require BI rules not AI.
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chapters (14)
- 0:00Start
- 1:08Where Are We Today
- 3:27Why the Popularity of Artificial Intelligence
- 4:15Auto Insurance Claim Processing
- 5:37Generative Adversarial Networks
- 6:34Nlp
- 8:19The Challenges with Ai
- 13:04The Human versus Ai
- 15:21Data Science Process
- 17:06Case Studies
- 22:58Mobile Data
- 28:59Auc Curve
- 31:10Ai Models versus Traditional Machine Learning Models
- 35:20Reactivation Model
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