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HDFC Bank’s head of enterprise data management discusses the complex balancing act data leaders face today, shedding light on how to drive value from data without losing sight of good governance.
Use generative AI to make people more productive rather than try to replace them. Then you’re more likely to benefit from the technology instead of automating your way into trouble.
Enterprises are increasingly placing data operations under the stewardship of a single executive: the chief data officer. CIOs must adjust and collaborate strategically to ensure the business thrives.
A recent Gartner survey of data and analytics leaders found that fewer than half think their teams are effective at providing value to their organizations. Here’s how to change that equation.
Data governance defines roles, responsibilities, and processes for ensuring accountability for and ownership of data assets across the enterprise.
As more companies strive to improve operations and enhance the customer experience, CIOs lead the charge to implement automation initiatives that work now, and strategies to ensure future success. Establishing the business case, however, is the first
A majority of business leaders in enterprises worldwide are unable to use data to make strategic business decisions, according to Salesforce’s Untapped Data Research survey.
The German airline is putting control in the hands of its customers and data in the hands of its employees — all part of a digital transformation pivot to product-based IT, CIO Thomas Rückert says.
The global manufacturer and supplier of dental implants, orthodontics, and digital dentistry is turning petabytes of data into an asset by augmenting its businesses with machine learning and AI.
If multicloud is your preferred architecture, you better have a solid plan for interoperability, security, portability, and centralized management. Do you?