How Adobe AI Drives Speed to Insight

AI agents are changing how organizations access insights, but they’re only as effective as the data they can reach. To truly democratize analytics, agents need direct access to granular, customer-level data, not just pre-aggregated summarizations. Adobe Customer Journey Analytics solves this by allowing agents to query complete datasets on the fly, enabling them to answer new, unscripted business questions that go beyond predefined paths. Lokesh Alluri shares how Lenovo’s business users are self-serving insights at scale within an enterprise-wide AI ecosystem. Lenovo’s journey highlights how to achieve trusted data interpretation without disrupting existing technology investments. Learn about new capabilities that improve LLM efficiencies and unlock new use cases, including enabling integration with Customer Journey Analytics. We’ll outline Adobe’s strategy for bridging CMO and CIO needs by extending analysis beyond Customer Journey Analytics interfaces. Learn new capabilities that improve LLM efficiencies and unlock new use cases, including accessing Customer Journey Analytics insights in Microsoft Copilot via the Adobe Marketing Agent.
Key takeaways:

• Unlock the power of granular, customer-level data to fuel flexible AI agent responses
• Hear how Lenovo empowers business users with trusted, self-service insights at scale
• Explore how MCP Server connects Customer Journey Analytics insights to your wider data ecosystem

Technical Level: General Audience

Track: Analytics

Content Category: Case/Use Study

Audience : Business Analyst, Marketer, IT , Martech Professional, AI Strategy/Technology , Industry Analyst