Data Science Workflows are Shifting to Agentic Systems
mdancho84 · x · 2026-07-16
The author notes that the value of data science is shifting from "doing analysis" to "packaging analysis into systems that businesses can directly use." The new workflow they outline is: connect business data, build ML models, integrate an LLM interface, orchestrate agent workflows, and ultimately build an agentic app that business users can interact with directly. The core conclusion is that enterprises no longer need more notebooks, dashboards, and model experiments; they need people who can turn data + AI into deployable systems.
Related event: Data Science Workflows Shift Towards AI Agent Systems(2 posts)→
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