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Designing for scale – building a data team structure that delivers for humans and AI

Data access

How can you effectively scale data consumption by business teams and AI agents alike? Drawing on Gartner research, we look at how to structure data teams and the role of the data product marketplace in delivering success.

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Gartner Hype Cycle: How data marketplace technologies are transforming data management

Data trendsData marketplace

Data custodians and data stewards – understanding the differences

Data marketplaceData access

Measure and accelerate data consumption through an e-commerce-style conversion funnel

Huwise harnesses agentic AI to connect AI models to real-world data, driving greater business impact

Data trendsData access

Huwise boosts data enrichment, even when using the largest reference sources

ProductData access

Successfully scaling data products – best practice from McKinsey

ProductData access

Combining data mesh and data fabric to drive greater data consumption

Data trendsData access

How do workflows on a data marketplace connect business users to data to accelerate value creation?

Data marketplaceData access

6 high-ROI use cases for data product marketplaces in the insurance sector

Increasing collaboration and monetization of data products: an interview with Snowflake

Data access

Delivering long-term data product success – lessons from Gartner

Data marketplaceData access

How energy data marketplaces drive ROI and financial benefits

Data marketplaceEnergy & Utilities

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