... trust and accountability. DataArchitecture and Ecosystems Explore how fast-evolving dataarchitecture patterns — spanning on-premises, cloud, multicloud, and hybrid models — are reshaping strategies for scalable, flexible ecosystems and unlocking AI-powered innovation, data mesh and smarter decision ...
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... Analytics Summit, you’ll uncover the latest in data management, data trends, big data, data and AI governance, and dataarchitecture to deliver value for your organization. These data analytics conferences are must-attend events for CDAOs and data, analytics and AI leaders tasked with creating a strategy and ...
... Access Insights Already a Gartner client? Data integration tools remain a foundational dataarchitecture component for supporting operational, analytical and AI use cases. This research analyzes 19 vendors to help data and analytics leaders make informed technology decisions. Strategic Planning Assumptions ...
... Access Insights Already a Gartner client? As fragmented dataarchitectures converge around the data lakehouse, D&A leaders face critical trade-offs across costs, ease of use and AI readiness. Use this Magic Quadrant to evaluate data lakehouse platform vendors and select the optimal solution for your ...
Analyst(s): Prasad Pore | Xingyu Gu | Aaron Rosenbaum | Robin Schumacher | Michael Gonzales | Masud Miraz | Ramke Ramakrishnan
... Access Insights Already a Gartner client? Data and analytics leaders are adopting metadata management solutions as a strategic foundation for AI, governance, and modern dataarchitectures. The market is shifting from passive catalogs to active metadata platforms that automate discovery, governance, orchestration ...
Analyst(s): Melody Chien | Mark Beyer | Roxane Edjlali
... insights reveal that lack of data readiness is a top barrier to AI, driving over 75% of organizations to prioritize AI-ready data investments. Traditional data management can’t deliver the speed, scale or trust required to support enterprise AI. Rethink your data stack architecture to enable rapid experimentation ...
... How can I anticipate change with data, analytics and AI predictions through 2031? Gain foresight into trends shaping D&A and AI to guide long-term strategy. Is my dataarchitecture ready to support enterprise AI initiatives? Build a modern data fabric that eliminates silos and supports AI at scale. ...
... Gartner client? AI is transforming data management systems, knowledge management and knowledge engineering. Data and analytics leaders will gain productivity and agility in the short term, and in the long term the enablement of next generation dataarchitectures, data fabrics and ecosystems. Overview ...
Analyst(s): Stephen Emmott | Henry Cook | Roxane Edjlali | Michael Gonzales | Prasad Pore