Take AI/ML from theory to practice with Intel technologies
summary
A full‑stack SaaS AI system running on AWS with Intel Xeon Scalable c5 instances and SageMaker, using Apache Spark for real‑time ingestion and S3/Redshift for storage, pulls retail data into a predictive customer view and product‑level forecasts. Footasylum reports 28% uplift in email revenue and 10x ROAS after deploying customer, demand and supply AI; Peak claims 20–28% model performance gains and a 4–12 week deployment to production.
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chapters (20)
- 0:00Introduction
- 1:53Welcome
- 2:53A scary slide
- 4:52Takeaways
- 5:38Full Asylum
- 7:04What is Full Asylum
- 12:34The tech stack
- 15:59The infrastructure
- 22:44AI Studio
- 24:14Solutions
- 25:49Customer AI
- 28:04Peakers
- 32:01Demand AI
- 34:47Supply AI
- 37:38Omnichannel
- 38:50Wrapup
- 39:41Conclusion
- 40:31Timeline
- 42:25Compute resources
- 44:31Anomaly detection
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