SAS an open ecosystem for Artifical Intelligence
summary
SAS Viya positions an enterprise analytics engine that runs models developed in Python or R or via a drag‑and‑drop GUI and deploys them anywhere from a laptop to a cluster or directly into a camera or router. Demonstrations include real‑time player recognition embedded in cameras, a cancer imaging pipeline using thousands of images plus patient history that reduces clinician review to edge cases, mobile damage detection from phone photos, and ATM refill forecasting; model governance, monitoring and automated retirement are built in.
AI-written summary · about
chapters (24)
- 0:00Intro
- 0:50Agenda
- 1:30Definition of AI
- 1:40The Turing Test
- 2:34What is AI
- 3:02Applications of AI
- 3:35Categories of AI
- 3:49Applications
- 4:43Open ecosystem
- 5:57democratize analytics
- 7:26open data
- 8:15algorithms
- 9:13touchpoints
- 10:10open infrastructure
- 11:04analytical lifecycle
- 12:23discovery
- 13:52deployment
- 15:42AI applications
- 17:53Case example
- 18:13Data collection
- 19:16Competitive edge
- 19:57Claims
- 21:00ATM Forecasting
- 21:38Audience Questions
related talks
08mSAS: More open than you might think
06mTransitioning AI from the lab to real-life applications
11mUsing AI to track wildlife patterns
27mEnterprise AI at Scale
05mBringing AI into the Wild
40mDemocratise public agency user access to AI/ML on VAS
56mDeveloping AI Applications with SQL AI: Ground to Cloud to Fabric
21mRealizing the Potential of Business AI