AI-powered digital transformation
summary
Forrester-backed research shows 88% face data challenges and organizations spend months on discovery and platform work instead of production. The ecosystem section names Kafka, Spark, Elasticsearch, GPUs (NVIDIA A100/A30 guidance), Graphcore ASICs in Dell servers, and VMware plus NVIDIA AI Enterprise for GPU virtualization. An open source Omnia repo lets one run AI on HPC, Dell promotes Apex multi‑cloud, and recommended practices include data catalogs, single infra for HPC+AI workloads, and a move toward model‑driven environments.
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chapters (10)
- 0:00Introduction to AI transformation
- 2:35Current challenges in AI adoption
- 5:25AI accelerator technologies overview
- 8:15Edge computing and computer vision
- 10:23GPU virtualization with NVIDIA
- 12:30Data platforms and analytics trends
- 14:40Multi-cloud AI strategy considerations
- 17:09Model-driven AI environments
- 21:25HPCEI Innovation Lab services
- 23:10Best practices for AI success
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