... Access Insights Already a Gartner client? Third-party LLMs and AI agents intercept customer interactions, disrupting traditional data-driven strategies and risking a “data drought.” Support leaders must develop the infrastructure, trust frameworks and incentives necessary to engage with customers through ...
Analyst(s): Brett Overbey
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... depend on is ready. Enterprise application leaders must harden execution, governance, and accountability across CRM automation before scaling agentic AI. Insights at a Glance Analysis Gartner Recommended Reading Gartner Insights Abstract ...
Analyst(s): Mike Levisay | Adam Briggs | Arthur Villa | Ilona Hansen
... AR’s relationship with sales is underdeveloped, limiting its ability to track true business value. By utilizing agentic AI to deliver insights directly into sales workflows, AR can transform this critical partnership and accurately track the outcome-based metrics that matter most, such as impact on revenue ...
... Access Insights Already a Gartner client? Marketing spend on demand generation targeting existing customers can be a money pit. AI-powered listening offers a goldmine of insights that increases targeting efficiency to lift conversion rates for customer cross-sell or upsell opportunities. Insights at ...
... Bank CIOs cannot scale AI on top of unmanaged data estates. Scaling requires governed, reusable data products that are consumable by both humans and machines. Sustaining data products requires CIOs to translate spend into P&L language to protect funding and earn ongoing support to scale. Insights at ...
... Gartner client? As AI application and agentic development grow across enterprises, governance becomes essential for managing the privacy, security and cost of solutions. To scale complex agentic workloads and address governance gaps, organizations must identify and implement the right AI governance platform ...
Analyst(s): Deacon D.K Wan | Annie Hodgkins | Manjunath Bhat
... client? Human rights risks in AI systems often surface late, forcing redesign, restrictions, or withdrawal after investment. Executive leaders must ensure these risks are assessed before funding and deployment decisions or risk material write-offs, regulatory intervention, and AI that cannot scale. Insights ...
Analyst(s): Shanna Grafeld | Beleah Kollue | Frank Buytendijk
... Gartner client? CMOs must use direct, indirect, and inferred VoC data to monitor the performance of customer-facing AI agents. Use this framework to track real-time feedback, improve AI execution, and ensure interactions consistently drive customer satisfaction, reduce customer effort, and achieve revenue ...
... Access Insights Already a Gartner client? Oracle provides embedded AI agents and agentic applications that are natively built into Fusion. This guide helps organizations align their Oracle AI Agent strategy with their innovation goals and risk tolerance while accounting for Oracle’s new token-based pricing ...
Analyst(s): Sohail Majumdar | Balaji Abbabatulla | Patrick Connaughton