Data Management | News, how-tos, features, reviews, and videos
Business leaders believe their data is primed for AI, but IT practitioners spend hours every day beating data into shape, only to miss out on automation opportunities.
Data is now a living organism driving company success. To thrive, businesses must embrace AI-powered, automated data management across five critical pillars.
The EU law, enacted early this year, offers more opportunities for CIOs to push innovation by creating new business models based on greater access to data, and rights toward cloud service providers. But to fulfil true potential, companies will have t
IT will never have enough money, full control, or guarantees of success, so it’s better to work with — rather than against — those realities.
Striking the balance between enhanced customer engagement, robust data security measures, and upholding customer privacy: Exploring innovations, challenges, and regulatory landscapes in the pursuit of seamless, trustworthy experiences.
AI-driven change is coming but 2025 will be a year of slow and steady progress.
AI gets all the attention these days, but the tech that keeps the business humming and advances (and protects) its core mission too often goes overlooked, unused, and underfunded.
Data quality is critical for successful AI projects, but you need to preserve the richness, variety, and integrity of the original data so you don’t sabotage the results.
When Macy’s reported Monday that a lone employee hid as much as $154 million in delivery expenses for three years, requiring the company to delay its earnings announcement, it exposed holes in the number-crunching systems CIOs depend on.
Data architects visualize and design an organization's enterprise data management framework, aligned with enterprise strategy and business architecture.
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