... The top data and analytics (D&A) predictions for 2025 emphasize Gartner research's perspective on the future impact of D&A technologies, innovations, trends and related business and public sector developments. These predictions outline how these factors will influence the future landscape for CIOs, D ...
Analyst(s): Rita Sallam
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... A data-driven and fact-based view of the supply chain operating context is vital. CSCOs can use this presentation to learn about industry trends and threats, and the challenges facing supply chains across the life sciences and healthcare provider industries. Gartner Research ...
... Access Insights Already a Gartner client? Modern backup and data protection technologies include backup of an expansive collection of workloads and emerging innovations to advance overall protection strategies. Heads of I&O should use this research to prioritize the use of these hyped innovations to ...
... AI-powered data visualization allows users to create and customize role-tailored, visual insights of key business metrics that support decision making. CFOs should reference this implementation guide as they assess, pilot, and operationalize this AI use case. Gartner Recommended Reading Gartner Insights ...
Analyst(s): Twisha Sharma | Matthew Mowrey | Alex Levine | Ash Mehta
... Outcomes with Data, Analytics and AI Are Your D&A and AI Initiatives Truly Driving Strategic Business Growth? By 2027, 60% of organizations will fail to realize the anticipated value of their AI use cases due to incohesive ethical governance frameworks. To ensure maximum business value from your data, analytics ...
... organization Health Ecosystem Technology Insights Major Project Leadership Academy (MPLA) Oxford University MSc. Computer Science, Manchester Metropolitan University BA. Mathematics & Computer Science, Open University Chartered Fellow of the British Computer Society NHS Digital,Director of Platforms,15 years ...
... governance, D&A leaders must identify and define the data owner role properly to maximize their contribution and minimize their effort. Organizations that establish data ownership effectively will increase data quality and compliance for mission-critical data. Insights at a Glance Impact Brief Actions and ...
... Finance’s legacy data systems and manual processes create friction in the flow from data to decision, slowing finance’s AI readiness. An AI-automated finance data supply chain reduces this friction by delivering AI-ready data, improving decision support and allowing AI agents to operate effectively. ...