In today’s customer centric economy, organizations face mounting pressure to deliver seamless, personalized, and responsive experiences at scale. Implementing AI across the customer journey is essential but challenging. Common hurdles include data privacy concerns, difficulty balancing automation with human interaction, and fragmented data systems.

To address these challenges, organizations are embracing a more strategic and phased approach to AI integration. Embedding generative AI into customer workflows, such as intelligent self-service, real-time analytics and sentiment analysis, can dramatically improve service quality while easing the burden on human agents. Adopting transparent data governance practices ensures compliance and builds customer trust. So, where do you start?

Join AWS and a select group of your peers as we discuss how to implement AI into your CX journey to help drive business value while maintaining the human touch in customer service.

For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 84 Availability Zones within 26 geographic regions, with announced plans for 24 more Availability Zones and eight more AWS Regions in Australia, Canada, India, Israel, New Zealand, Spain, Switzerland, and the United Arab Emirates. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs.