On this episode, Meghan Hatalla, Senior Customer Experience Researcher at Veritas Technologies, discusses the use of machine learning and natural language processing to enhance user research and improve customer experience. She highlights the importance of data analysis, sentiment analysis, and personalization in understanding user behavior and needs, and talks about the challenges of implementing AI in customer experience.The role of machine learning and AI in processing large data sets and identifying patterns in user behaviorThe importance of qualitative research in understanding user experiences and problem-solvingHow to Implementing AI in customer experienceHow to build trust and emotional connections for a positive customer experienceKey Components of Effective Customer InterviewsThe Role of User Research in AI–How can you bring all your disconnected, enterprise data into Salesforce to deliver a 360-degree view of your customer? The answer is Data Cloud. With more than 200 implementations completed globally, the leading Salesforce experts from Professional Services can help you realize value quickly with Data Cloud. To learn more, visit salesforce.com/products/data to learn more. Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org. –Are your teams facing growing demands? Join CX leaders transforming their AI strategy with Agentforce. Start achieving your ambitious goals. Visit salesforce.com/agentforce Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org
No persons identified in this episode.
No transcription available yet
Help us prioritize this episode for transcription by upvoting it.
Popular episodes get transcribed faster