... Please find below all of the presentations associated with the Gartner Research Board for Global Chief Data & Analytics Officers Cycle 2 2025 Meetings, associated with the report “Interregnum: The Fourth Software Paradigm”. Gartner Research ...
Analyst(s): Research Board Research Team
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... ” to Deliver Data-Driven Business Change CDAOs must address data literacy (“skills”) and data-driven culture (“will”) to become a data-driven enterprise. Analyst: Alan D. Duncan Becoming a data-driven enterprise requires explicit and persistent organizational change management. Chief data and analytics ...
... Life science organizations must become more agile and adaptable to compete amid disruptive technology and market forces. CIOs should adopt a digital life science platform approach to leverage legacy data, deliver new digital services, and create novel patient-centric user experiences and outcomes. Overview ...
Analyst(s): Animesh Gandhi | Rohan Sinha | Michael Shanler | Jeff Smith
... challenges for Chief Data and Analytics Officers With Data and Analytics moving more into the functional business units, the top 3 priorities for Chief Data and Analytics Officers have shifted to creating a data-driven culture, developing a data analytics strategy, and ensuring data governance. Our analyst ...
... Capital expenditures for AI continue to grow and may push Gartner’s AI infrastructure spending estimates even higher. Amazon, Google, Meta, Microsoft and Oracle have all raised capex estimates for 2026. However, even with strong AI demand, several risks could moderate capex growth outlook. Gartner Re ...
... Organizations lack effective methods to turn DSPM insights into prioritized risk reduction. Security architects should optimize DSPM by using risk scoring to target the highest priorities, integrating with security tools for automated enforcement, and tracking success with outcome-driven metrics. Ove ...
... Access Research Already a Gartner client? Data and analytics leaders must stay informed on emerging technology and innovation trends to remain competitive. Use this quarterly insight to gain forward-looking and strategic guidance, anticipate change, unlock new possibilities, and lead with confidence ...
... dependent. Other top challenges for the life science value chain include lack of data on ESG goals, poor internal decision making and alignment, and regulatory constraints. There is a wide gap between current operational capability for sustainability in life science supply chains and long-term aspiration. ...
... To support GenAI applications, enterprises need storage systems with advanced capabilities, such as high-speed read/writes from GPUs and intelligent data discovery. Heads of I&O must identify the key capabilities and the right storage for each AI pipeline stage to achieve desired business outcomes. Insights ...