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Premium Research Oct 2026
... AI agents will rapidly transform how data engineers and data stewards ensure data quality in their data environments. This research provides insight into the use cases, data quality capabilities, and benefits and impacts of AI agents on data quality practices. Insights at a Glance Issue Impact More Detail ...

Analyst(s):   Jason Medd   |   Adrianna Rockford
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Premium Research August 13 2026
... agent architecture and escalate tasks to a heavier flagship model only when Flash triggers a retry threshold or hits an edge-case reasoning block. Add DeepSeek-V4 to the enterprise open-weight LLM evaluation portfolio. Prioritize non-mission-critical use cases, such as LLM-as-a-judge, synthetic data generation ...
Premium Research Mar 2025
... platforms, is growing. However, this trend’s trade-offs and implications are still unclear. Data management leaders should first understand what an open table format is and how it is integrated into a data architecture More Detail Gartner Recommended Reading Gartner Research ...

Analyst(s):   Adam Ronthal   |   Michael Gonzales   |   Aaron Rosenbaum
Premium Research Aug 2026
... AI-ready data cannot be achieved through one-time data preparation. D&A leaders should shift from traditional data management to a continuous, use-case-driven practice that aligns, qualifies and governs data throughout the AI life cycle. AI-ready data forms the foundation for agentic AI and continues ...

Analyst(s):   Roxane Edjlali   |   Mark Beyer   |   Ehtisham Zaidi   |   Svetlana Sicular
Research Aug 2026
... Gartner client? Heads of enterprise architecture are being asked to lead AI-driven business and technology transformation. Success requires understanding the seven critical themes reshaping how enterprises are designed, governed and operated. Explore the architecture implications to position your EA team ...

Analyst(s):   Lucas Kobat
Research Oct 2026
... Access Insights Already a Gartner client? Data security platforms (DSPs) consolidate disparate data security controls, including traditional safeguards and advanced controls such as data tokenization or behavior-based monitoring, to flag potential insider risks. Insights at a Glance Strategic Planning ...

Analyst(s):   Andrew Bales   |   Joerg Fritsch
Research Oct 2026
... Access Insights Already a Gartner client? Data in enterprise databases comes in three distinct formats or “shapes”: relational, graph, and semistructured data. Effective vectorization requires the right chunking strategies and embedding models for each data type. This research provides guidance on selecting ...

Analyst(s):   Lyn Robison
Premium Research Oct 2026
... expanded before many data management foundations fully matured. As AI becomes embedded across business and technical workflows, this Planning Guide helps technical professionals prioritize the capabilities required to deliver trusted data, business context, consumable architectures and scalable engineering ...

Analyst(s):   Andy Lee   |   Lydia Ferguson   |   Prasad Pore   |   Jason Medd   |   Prudhvi Bade   |   Sagnik Das   |   Adrianna Rockford   |   Lyn Robison   |   Ramke Ramakrishnan   |   Joe Maguire
Research January 29 2026
... landscape where analytics and AI capabilities are converging, organizations must adapt quickly to unlock new levels of agility and value from their data. According to the Gartner AI Survey, 82% of CIOs and technology leaders agree that the pace of change is accelerating rapidly, fueled by continuous ...
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