Ankur Taunk

Join this session to learn how to create automated data stories that analyze performance trends, agent productivity, and customer satisfaction through natural language interactions using Amazon Quick Suite's generative AI capabilities and a MCP server, such as CloudWatch.

Join this interactive session to master Amazon Connect's built-in reporting capabilities to extract valuable insights from your contact center data. Learn to analyze key performance indicators and visualize trends using native features, enabling data-driven decisions without external systems.

In this hands-on workshop, you learn how to gain actionable customer experience and contact center insights from your data using services and capabilities like Amazon Connect analytics data lake and Amazon QuickSight.

Is your contact center data ready for artificial intelligence (AI)? Learn how to prepare and leverage your data to drive operational excellence and stay ahead with native operational metrics, alarms, and anomaly detection.

With data at the center of every contact center, it’s essential for managers to make informed real-time decisions to improve the overall efficiency and effectiveness of every customer workflow, process, and interaction. The ability to react in real time ensures that customer needs are being met promptly.

Contact centers generate large amounts of data from self-service interactions, call and chat transcripts, and sentiment analysis that can be used to gain valuable insights into customer intents and behaviors such as propensity to buy or churn. In this chalk talk, learn how to use Amazon Connect to generate insights from your data that can lead to improved personalization, routing, customer...