Data Management | News, how-tos, features, reviews, and videos
SAP Build Code suite combines new and existing developer tools, while a foundational AI model trained on anonymized customer data will be available to help automate tasks.
Volvo Cars is undergoing a major transformation of both its business model and products. To cope, core systems are being replaced and standardized, while methods of working within the digital organization are tightened.
The airline’s new digital-focused business unit is adopting a cross-functional, product-centric approach to enhancing the customer experience, with hubs across Europe.
During a recent CIO Leadership Live session, Danielle Brown, SVP and CIO of household appliance giant Whirlpool, detailed how collaborative teams and data management are integral to both product leadership and the entire customer journey.
The ability to store, manage, control and replicate data between the mainframe, on-premise software, and public cloud platforms in real time will allow businesses to tap into innovation—even during an acquisition.
Data practitioners come across many challenges throughout the data management lifecycle. Let us learn about the most common day-to-day challenges we face and how to overcome them.
Data architects visualize and design an organization's enterprise data management framework, aligned with enterprise strategy and business architecture.
Data issues are still among the chief reasons why AI projects fall short of expectations, but the advent of generative AI has added a few new twists.
By emphasizing information technology over information management, we have exposed ourselves to what poor information practices can cost us, not what robust information strategies can create.
Data management platforms (DMPs) help organizations collect and manage data from a wide array of sources — and are becoming increasingly important for customer-centric sales and marketing campaigns.