The future of data work, as discussed in a panel at Helsinki data week

A Helsinki Data Week panel hosted by MotherDuck examined how LLMs and agentic tools are reshaping data teams by increasing individual productivity, reducing handoffs, and automating increasingly standardized reporting and analytics tasks. Speakers argued that data professionals may find growing demand in building domain-specific operational agents that use data to make decisions and take actions, such as managing inventory or responding to customer requests, in partnership with subject-matter experts. The discussion emphasized learning through hands-on experimentation rather than relying only on codified knowledge, since building and troubleshooting systems develops practical judgment and helps professionals adapt to new tools. Creativity was presented as an important human capability, particularly for framing problems and selecting solutions amid real-world tradeoffs, while LLMs can assist with generating options. Panelists also identified collaboration, reusable data products, knowledge catalogs, and ontologies as unresolved organizational challenges, and stressed the need for strong governance and security controls to prevent risks such as sensitive-data leaks. dltHub demonstrated tools for using agents to model raw data into canonical models or virtual knowledge graphs, while MotherDuck presented agent-supported workflows spanning the analytics lifecycle.

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