Large language models (LLMs) have shown remarkable progress in understanding and generating natural language across various applications. However, they often struggle with resolving ambiguities in real-world, enterprise-level interactions, where context and domain-specific knowledge play a crucial role. In this demonstration, we introduce ECLAIR (Enhanced CLArification for Interactive Responses), a multi-agent framework for interactive disambiguation. ECLAIR enhances ambiguous user query clarification through an interactive process where custom agents are defined, ambiguity reasoning is conducted by the agents, clarification questions are generated, and user feedback is leveraged to refine the final response. When tested on real-world customer data, ECLAIR demonstrates significant improvements in clarification question generation compared to standard few-shot methods.

Adobe is leaning on AI-powered data solutions to bridge the post-cookie identity gap. This fits into Adobe's broader strategy of using a mixture of automation and artificial intelligence to figure out what people are looking for and predict how brands can demonstrate value for customers in the moments that matter, said Kevin Lindsay, Adobe's director of product marketing. In practice, that means focusing on reducing churn and anticipating a customer's needs rather than just pushing to complete a transaction. Considering the rising cost of customer acquisition, convincing someone not to cancel a service can be more valuable than converting a new customer. "It's also about paying attention to signals and emotional cues, like frustration," Lindsay said, and [determining whether you're] ticking people off with a bad experience."

Artificial intelligence (AI) is often viewed as a panacea for a wide range of potential applications and use cases. However, the broad applicability of AI technology has made it difficult to develop actionable development plans for utilizing it. Adobe is changing this dynamic with the announcement of Intelligent Services, which leverage Adobe Experience Platform with specific use cases and focus. "Adobe's introduction of Intelligent Services, powered by Sensei, that are aligned with common marketing tasks not only makes it much simpler to utilize AI, but they also bring the power of AI to more of the marketing team," says Monica Lay, principal product marketing manager at Adobe. "This increased utility will allow more brands to take the next step for enhancing the customer journey and improving their interaction with brands."

Software giant Adobe announced the release of its new customer service tool called Adobe Experience Platform. The platform gives enterprises greater data governance capabilities, general access to Adobe's Customer Data Platform service, and avenues for more personalized and impactful customer interactions, the company said. Adobe has revamped Adobe Experience Cloud to incorporate its AI and machine learning platform, named Adobe Sensei. The service will help businesses with digital marketing, advertising, analytics, commerce and more. In a release, the company called Adobe Experience"the industry's first open and extensible platform that stitches data across the enterprise," and said it gave organizations the ability to map out the potential customer experience through "customer journey orchestrations."