... A significant wave of data lakehouse and D&A vendors are collaborating to build semantic layers on lakehouse architectures for agentic AI. D&A leaders should use this note to optimize their long-term vendor strategy for building a semantic layer across their data, analytics, and AI ecosystem. Insights ...
Analyst(s): Xingyu Gu | Michael Gonzales
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... As marketing rapidly adopts GenAI, marketing analytics teams must ensure data is AI-ready, redefine analyst roles and enable AI-driven decisions. This session introduces a data-readiness framework for marketing, outlining five key milestones on the journey to advanced AI enablement. You will also learn ...
... client? Service leaders face complex decisions and overwhelming data, making human judgment alone insufficient. With basic prompts, they can create a no-code, AI-powered CX advisor using customer, financial, operational, and competitor data to deliver high-quality guidance for uncertain situations. Insights ...
... Gartner client? Many supply chain AI failures originate in sourcing decisions. Organizations often procure AI before validating data readiness, accountability and supporting data services. Heads of IT procurement can improve AI value realization through readiness-based sourcing, investment sequencing and ...
Analyst(s): Mark Whitehouse | Vas Plessas | Katarzyna Fonteyn
... Attackers exploit exposures faster than teams can respond. Exposure data mobilization via CTEM prioritizes fixes by exploitability and business impact, shrinking exposure windows and boosting SOC performance. Agentic AI will help once data, integrations, controls and governance are ready. Insights at a Glance ...
... deliver enterprise agentic capabilities without compromising proprietary data, context or process IP. Clean-room learning defines the client boundary, clarifies federated and nonfederated patterns, and determines what sensitive data can be retained, accessed or reused before agents act. Overview Strategic ...
... organization is transforming as AI presents fundamental changes to how enterprises leverage data and insights. CMOs must plan to evolve their marketing analytics team’s skillsets and roadmap to prioritize AI-ready marketing data. Insights at a Glance Impact Brief Actions How to Execute Success Measures Gartner ...
Analyst(s): Matt Wakeman | Rachel Dooley | Joseph Enever
... face a widening gap between their aspirations for a data-driven function and the current capabilities of their people analytics teams. This could impede effective AI adoption in people analytics, which risks diminishing both the speed and quality of data-informed decision making. Insights at a Glance What ...
... challenges and opportunities driven by five critical factors: geopolitical tensions, AI advancements, talent scarcity, increasing regulations and government data control. These drivers are poised to significantly impact supply chain performance over the next three to five years, necessitating urgent and strategic ...