5 ways data teams must lead in AI-driven organizations

“Levels of IT bureaucracy and management bureaucracy are slowing access to data and making it difficult to accelerate new innovations, improve supply chain logistics and deploy innovative artificial intelligence applications,” says Moritz Plassnig, the company’s chief product officer. Soak it up. “With the development and adoption of artificial intelligence, killer apps are no longer the focus; Data is the new application, and data teams can enable anyone in an organization to become a data consumer by developing an internal data marketplace that automates discovery and access while delivering enterprise-grade governance and security.”

Data marketplaces can be an accelerating factor in industries where many departmental use cases require the integration of multiple primary sources of large volumes of data. Companies in manufacturing, construction, energy and other industries can use data catalogs and marketplaces to aggregate and simplify the use of real-time data sources for decision making in marketing, field operations, supply chain, finance and other departments.

“Data teams are needed in industries like manufacturing, where there is a lot of data, but it’s difficult to navigate,” says Artem Krupenev, vice president of strategy at the company. omen. “Their role is not just to make sure the data works; It’s about empowering everyone to become a data scientist by ensuring that data is accessible, easy to use and effective.”