... Non-executive directors need insight on AI as the board oversight role is being drawn into conversations about AI technologies and how they could present both opportunity and threats across enterprises and industries. Board members are keen to understand how the enterprise should take advantage of A ...
Analyst(s): Tina Nunno
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... advanced requirements for having multiple cloud service providers emerge, organizations struggle with the complexity of multicloud data management. This research offers data and analytics leaders guidance on how to plan multicloud deployments to ensure optimal use of cloud resources. Overview Introduction ...
... to the underlying data storage technology, AD managers should address both the changes in data and the database navigation logic. When migrating to an architecturally different platform, both aspects of the data will change at the same time. Analysis Data Structure Data Types Data Navigation Vendor Solutions ...
... 100 Data and Analytics Predictions Through 2022 Key Predictions to Make Your Data and Analytics Strategy Successful Use this guide of Gartner’s top 100 data and analytics predictions to shape your strategic data and analytics plans and create digital business opportunities that your organization’s leadership ...
... requires a level of maturity that takes time to build. 2. Datascience emerges are a new role in finance. A majority of finance teams report using data scientists. Once seen as a risky and frivolous headcount, modern finance teams commonly use data scientists whether they leverage AI or not.. 3. Acceptance ...
... document provides insight into how IT organizations can participate in IT Key Metrics Data research, data quality processes, as well as data capture channels such as the ITBudget interactive comparison tool, IT Key Metrics Data studies, and Gartner Consulting led prescriptive benchmarks. Analysis How can I ...
Analyst(s): Eric Stegman | Shreya Futela | Disha Badlani | Linda Hall
... Organizations have adopted data products as a potential remedy for their growing data challenges, but ultimately struggle to deliver tangible solutions. This guidance framework offers data architects a structured approach to architecting and deploying data products for effective delivery of data. Overview Problem ...
... Already a Gartner client? Data compromise can impede an organization and cause extensive financial and reputational damage. Midsize enterprise CIOs preparing for AI and data and analytics can use this research to guide their data security and risk mitigation efforts and minimize the data risks from these business ...
... client? Finance organizations often struggle with their data readiness for AI use. FP&A leaders can use this tool to diagnose their data quality and accessibility by rating different data criteria and leveraging the composite scores to determine their data readiness for pursuing AI use cases. When to Use ...