Neeraj Kumar

Construct a complete AI-powered analytics pipeline, from data ingestion to conversational consumption. Use Amazon Quick's Data Catalog to discover data, query it live without moving it into SPICE, then enrich and import metadata with semantics inherited to build natural-language Q&A.

Transform your manual document workflows into agentic automations in this hands-on workshop using Amazon Quick Automate, a capability of Amazon Quick Suite. We will transform a manual claims processing use case into an intelligent, adaptive automation.

Dive into the architecture of embedding customized, interactive visuals, and dashboards into your applications with Amazon QuickSight and the generative BI capabilities of Amazon Q. Explore best practices for maintaining a consistent branded experience within your applications.

Architecting and building a multi-Region architectures can come with a new set of challenges. These challenges include how to manage dependencies, infrastructure deployments, data replication, consistency, observability, testing, and operations.

In this session, dive deep on the topic of multi-Region design and explore different ways to implement such architectures. Consider how to think about multi-Region architectures and what is included from a cost, operations, and engineering perspective.

In this chalk talk, learn about the architectural journey from monoliths to domain-driven, cloud-native applications that address hyperscale challenges. Consider the different stages in the journey and patterns applied at each stage to improve architecture.

In this workshop, we demonstrate the simplicity and speed of building an end-to-end solution in a serverless manner. You'll build an end-to-end solution for analyzing industrial asset data in real time and detecting anomalies.

In this workshop, you get firsthand experience solving one of retail’s biggest challenges: making retail forecasts more accurate by incorporating critical store point-of-sale data. The store is one of retail’s best differentiators, with more than 80 percent of sales still happening in physical locations.

One of the hard problems that utilities companies face is monitoring their assets in real time and implementing effective predictive asset health analytics. In this builders session, we explain how to build an end-to-end solution, from ingesting data (with AWS IoT Core and Amazon Kinesis) to storing it in a data lake, transforming and querying it, and displaying it all on real-time dashboards...