... Pipeline Flow: Pre-flight Checks Pipeline Flow: Release Readiness Pipeline Flow: Production Environments CRM AI DevOps: Plan CRM AI DevOps: Build CRM AI DevOps: Test CRM AI DevOps: Deploy CRM AI DevOps: Observe CRM Source and Safety Key Architecture Principles and Patterns Key Architecture Recommendations ...
Analyst(s): Simon Whight
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... This AI briefing examines three important updates: market consolidation in AI-ready data infrastructure, IBM’s new Red Hat AI Inference service, and Microsoft’s DELEGATE-52 research on systemic agentic AI vulnerabilities. Insights at a Glance Strategic Planning Assumption Issue Impact More Detail Gartner ...
Analyst(s): Shubhangi Jena | Auria Asadsangabi | Lucas Kobat
... Access Insights Already a Gartner client? Traditional agent observability creates a blind spot. AI agents meet service level agreements while drifting from business intent or compliance. To ensure compliance, trust, and control, monitor reasoning drift — tracking how decisions are made, not just outcomes ...
Analyst(s): Antonia Roesler | Priya Sundararaman | Ben Yan
... For AI products priced using AI units, customers need consumption controls to increase adoption. Because so few AI providers offer effective controls, product leaders can differentiate model-agnostic AI products by allowing customers to manage inference tiering, user-volume limits and task-volume limits ...
Analyst(s): Bill Ryan | Ron Burns | John Santoro | Will Sommer | Mike Tucciarone
... Access Insights Already a Gartner client? AI-free will bifurcate the market into products that integrate AI and those that omit AI as the primary focus. Product leaders should pursue unexpected market opportunities with “AI-free,” focusing on high-risk use cases where trust, predictability, and human ...
... 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 how to evolve marketing ...
... Insights Already a Gartner client? AI agent management platforms unlock new revenue potential by creating demand to address challenges across scalability, reliability, privacy and agent sprawl. To capture agentic AI leadership, product leaders must transition from building AI agents to provide comprehensive ...
Analyst(s): Ethan Cai | Christine Tenneson | Aakanksha Bansal | Alfredo Ramirez IV | Kiumarse Zamanian
... finance AI initiatives stall because of persistent manual workflows, opaque algorithms and low trust. Driver maps give CFOs a practical way to embed business logic in management reporting and financial planning, setting the stage for scaling finance AI. Insights at a Glance Challenges in Scaling AI Without ...
... AI investment is accelerating faster than procurement’s ability to turn it into measurable value. This research enables chief procurement officers to clearly communicate the implications of AI to procurement and develop a human-readiness strategy to get the most value. Overview Gartner Recommended Reading ...
Analyst(s): Andrea Greenwald | Charity Hooper | Magnus Bergfors