... Data monetization is often considered to widen banks’ revenue and improve their competitive advantage. However, banks still struggle to realize this potential. Banking CIOs can use this research to understand the different data monetization models and how to derive value from them. Analysis Next Steps ...
Analyst(s): Mary Yan | Alistair Newton
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... Finance organizations often use the data owners and data stewards roles interchangeably, which can slow down finance’s D&A governance rollout and adoption. FP&A leaders can use this research to understand key differences between these roles and inform their resource allocation decisions. More Detail ...
... With ISO 20022 providing structured payment data, new customer insights are available. Bank CIOs that do not invest in the technology to harness the value of this data could fail to understand their customers and miss opportunities to retain or increase market share. Overview Introduction Analysis Gartner ...
... Access Research Already a Gartner client? Chief data and analytics officers are executive leaders responsible for driving value through the organization’s data, analytics and AI assets and ecosystem. This sample job description highlights the need for a CDAO, and defines the role’s responsibilities. ...
... The criticality, scalability and democratization of AI requires governance to balance the AI’s value with the new risks it poses. AI encompasses a continually evolving technological landscape in which there are trade-offs between scale, performance, explainability, accessibility, speed, skills and c ...
... Find out what 2400+ viewers joined to learn how to align AI governance with strategy, investment, risk, value, performance, and resources to drive responsible AI progress. The criticality, scalability and democratization of AI requires governance to balance the AI’s value with the new risks it poses ...
... Data and analytics leaders continue to struggle to prove the value of D&A and AI. This research will provide a road map for assessing value and continuously communicating the business value of data, analytics and AI. Strategic Planning Assumptions Analysis Research Highlights Gartner Recommended Reading ...
... The proliferation of AI within analytics, data and software development is supercharging the collision of once-distinct markets, tools and user groups. To drive competitive breakthroughs, data and analytics leaders must navigate significant changes in products, investments and practices. Overview Strategic ...
... engineering teams struggle to use legacy application and data architecture to deliver intelligent applications with AI agents. Software engineering leaders and their teams must partner with D&A to adopt composable architecture with AI-ready data to enable well-connected AI agents. Overview Introduction ...
Analyst(s): Max van den Berk | Keith Mann | Tigran Egiazarov | Mike Fang | Keith Guttridge | Anne Thomas | Steve Schwent