
Data & Data Culture
How CtrlS Builds for Scale as Compute Demands Climb
Across the country, data centers are scrambling to scale up as AI applications fuel a sharp rise in computing and storage needs.
Across the country, data centers are scrambling to scale up as AI applications fuel a sharp rise in computing and storage needs.
India is particularly attractive for low- to mid-tier chip manufacturing and R&D centers, Moody’s noted, as companies seek to diversify production away from traditional hubs and build resilience into their supply chains.
The real data quality breakthrough happens when companies transition to the third mode, where errors are prevented at the source. But this shift requires a major change in mindset, in which every employee recognizes that they are both a data creator and a data customer and starts acting like it.
Data is invaluable, but working with it doesn’t always feel meaningful. Four strategies can help make data work more engaging.
Many businesses are challenged to marshal sufficient resources, personnel, and advanced technology to fully understand potential threats. But few recognize that their efforts are also hindered by the silos within their risk management functions that leave their teams with visibility into only select pieces of the overall threat matrix.