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Research Sep 2026
... client? Data loss prevention is a mature market, but modern solutions are integrated into a broader cybersecurity control stack and go beyond traditional detection methods. Cybersecurity leaders should focus on DLP providers that enable user-centric, adaptive, risk-based and AI-enhanced data security ...

Analyst(s):   Paulo Aresta   |   Rahul Balakrishnan   |   Andrew Bales   |   Jaimie Anderson
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Premium Research Oct 2026
... AI adoption 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 ...

Analyst(s):   Andy Lee   |   Lydia Ferguson   |   Prasad Pore   |   Jason Medd   |   Prudhvi Bade   |   Sagnik Das   |   Adrianna Rockford   |   Lyn Robison   |   Ramke Ramakrishnan   |   Joe Maguire
Research Jul 2026
... Most enterprise data isn’t organized, contextualized, governed, or automated in a way that autonomous AI agents can act on it. These cool vendors address the gap by offering AI-native products for real-time context, continuous governance, semantic consistency for data, and agentic data engineering. Insights ...

Analyst(s):   Nina Showell   |   Robert Thanaraj   |   Michael Simone   |   Jenna Goodrich   |   Xingyu Gu   |   Sarah Turkaly   |   Anurag Raj
Webinar Dec 9, 2026   Upcoming
... through compelling, data-driven stories that influence decisions •Translate complex data into clear narratives that resonate with business leaders •Understand the role of context, narrative and visualization in effective data storytelling •Explore how emerging technologies can help scale data storytelling across ...

Analyst(s):   Clement Christensen
Premium Research Jul 2025
... Life science organizations must accelerate the commercialization of increasingly complicated drugs, devices and services. CIOs can use this Hype Cycle to identify innovation opportunities to accelerate commercial manufacturing processes and digitalize manufacturing and supply chain operations. Analysis ...

Analyst(s):   Michael Shanler   |   Maria Nieradka   |   Animesh Gandhi
Research Oct 2026
... Access Insights Already a Gartner client? Data management platforms unify historically discrete data management capabilities to simplify architectures and accelerate AI readiness. Use this research to evaluate how DMPs reduce tool sprawl, lower operational costs, and integrate governance. Insights at ...

Analyst(s):   Robert Thanaraj   |   Adam Ronthal
Premium Research Mar 2026
... To thrive amid AI-driven complexity and disruption in the future, CSCOs should reinvent supply chain processes, upskill talent for technology enablement and build agile trust-based networks. This research will help achieve these goals while driving resilience, innovation and competitive advantage. Ov ...

Analyst(s):   Corwin Hee   |   Maria Nieradka   |   Nikhil Singhal
Research Aug 2026
... AI-driven and autonomous workflows are transforming how work gets done but also introducing a raft of new data security challenges. The vendors in this report are driving the evolution of data security by addressing areas where traditional, static security controls are no longer sufficient. Insights ...

Analyst(s):   Paulo Aresta   |   Joerg Fritsch   |   Niyati Daftary   |   Andrew Bales   |   Sarah Almond
Research Aug 2026
... a Gartner client? As customer data management converges around four architectural approaches (stand-alone, composable, platform, embedded), the CDP buying decision shifts from product selection to architectural strategy. CMOs’ and CIOs’ strategic choices will impact data ownership, AI readiness, and martech ...

Analyst(s):   Lizzy Foo Kune   |   Suzanne White   |   Rachel Dooley
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