AI – Addressing the Challenges of Today’s Data Scientists
summary
Claims a concrete path to get models into production by reducing infrastructure friction and shows two live demos that wire a Jupyter notebook into Kubeflow/KFP pipelines and into an AI Orchestrator that auto-generates platform‑agnostic pipeline templates. Uses SUSE stack components including k3i for one‑command local clusters, TensorFlow containers, Rancher and SUSE Enterprise Storage. Demonstrates Git‑backed versioning, template reuse, and running the same pipeline across local, cloud and on‑prem targets.
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chapters (6)
- 0:00Start
- 3:33Considerations.
- 5:19Strategy Al success needs a formalized investment plan
- 6:28People Skills to leverage Al technology to transform the business
- 7:14Process Improve efficiencies in business and IT operations
- 8:57Technology Analyze large volumes of data using ML to unlock insights
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