• Wed. Jan 8th, 2025

5 ways data teams must lead in AI-driven organizations

Byadmin

Jan 7, 2025



“Layers of IT and governance bureaucracy are slowing down data access and making it harder to speed new innovations, improve supply-chain logistics, and deploy innovative AI applications,” says Moritz Plassnig, chief product officer at Immuta. “With the acceleration and adoption of AI, killer apps are no longer the focus; data is the new app, and data teams have the power to enable anyone in the organization to become data consumers by cultivating an internal data marketplace that automates discovery and access, while still providing enterprise-grade governance and security.”

Data marketplaces can be an accelerating capability in industries where integrating several primary high-volume data sources is needed for many departmental use cases. Companies in manufacturing, construction, energy, and other industrials can use data catalogs and marketplaces to aggregate and simplify using real-time data sources for decision-making in marketing, field operations, supply chain, finance, and other departments.

“Data teams are essential in industries like manufacturing, where data is abundant but hard to navigate,” says Artem Kroupenev, VP of strategy at Augury. “Their role isn’t just about making data operational; it’s about empowering everyone to become a data scientist by ensuring data is accessible, easy to use, and impactful.”



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