... Access Insights Already a Gartner client? Chief data and analytics officers must modernize data and AI governance to meet expanding compliance obligations that require continuous enforcement. Embed enforceable controls directly into data pipelines and extend them across all AI use cases to strengthen ...
Analyst(s): Joel Backaler | Yogesh Bhatt | Stuart Strome | Kjell Carlsson | Claire Song | Antonia Roesler
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... Access Insights Already a Gartner client? Rapid data growth, cloud adoption, AI workloads and rising infrastructure costs are increasing storage spend while reducing visibility into enterprise data. This research helps heads of I&O evaluate data storage management services to optimize cost and strengthen ...
Analyst(s): Rizvan Hussain | Michael Hoeck | Apurva Singh
... Access Research Already a Gartner client? CIOs’ evolving focus on productivity, growth and cultural transformation impel heads of EA to align their strategies accordingly. Heads of EA must therefore guide teams to assess business and technology trends to optimally architect the future, orchestrate tra ...
Analyst(s): Philip Allega | Andrei Razvan Sachelarescu
... Access Research Already a Gartner client? To boost value and agility amid increasingly federated enterprise structures, heads of EA must align with CIOs and stakeholders on IT strategy and business goals. Heads of EA must develop an EA function to leverage the skills, services and stakeholders needed ...
... technology leaders must mandate a shift toward centralized AI governance and develop foundational AI assets. They should focus on event-driven architectures, data-centric platforms and enterprisewide operating model transformation to mitigate expensive AI mistakes. Insights at a Glance Issue Impact More ...
Analyst(s): Will Rice | Mounish Rai | Amresh Nandan
... Access Insights Already a Gartner client? While ITSM is one of the most likely domains to experience success with AI, data quality issues plague heads of I&O during implementation. Much of the dismay is due to weak governance at intake. Shift-left channels and inconsistent intake controls are creating ...
... today’s complex and ever-evolving data landscape, organizations are striving to create a cohesive and integrated data ecosystem. Data architects can utilize this research to evaluate, design and implement a unified, scalable and collaborative data management architecture with Microsoft Fabric. Overview ...
Analyst(s): Mayank Talwar | Zain Khan | Sagnik Das
... To capitalize on the accelerating convergence of analytics and AI, D&A leaders must prioritize data quality, strengthen data and AI literacy, and overcome cultural resistance to governance. Success depends less on technology solutions and more on aligning people, processes, and AI to deliver business ...
... differentiating by quality, convenience and security. Technology and service providers must modernize their offerings to support composable application architecture. To support the growing business demand for composable business applications this research explores: Adopting business-defined software modularity ...