This session addresses how Amazon Sagemaker Lakeshouse solves data silo challenges by offering a flexible platform that enables in-place data access and querying using Apache Iceberg-compatible tools. The session covers strategies for data source integration, governance implementation, near real-time zero-ETL integrations for operational databases and federated query capabilities for third-party sources within the Lakehouse architecture.

Speaker:
Dipayan Sarkar, Analytics Specialist Solutions Architect, AWS India

Caching is at the heart of any modern application. Amazon ElastiCache is a fully managed Valkey, Memcached and Redis OSS compatible service that delivers real-time, cost-optimized performance for these modern applications. Attend this session to learn how ElastiCache speeds up database and application performance, scaling to millions of operations per second with microsecond response time while offering enhanced security and reliability.

Speaker:
Kanwar Nain Singh, Senior Database Specialist Solutions Architect, AWS India

As you build a data & AI platform on AWS leveraging the modern data architecture, enabling your users with the right amount of access to your data is critical. Attend this session to learn how you can address fundamental challenges such as discovering assets, establishing fine grained access model, deploying necessary governance controls for data lineage and data quality, and promoting collaboration across your organization using next generation Amazon SageMaker. In this session, we will also walk you through the various personas such as a data steward, data engineer and a data analyst, and show you how the next generation Amazon SageMaker makes the user experience more seamless.

Speaker:
Sai Sriparasa, Analytics Specialist Solutions Architect, AWS India

Amazon Aurora provides unparalleled high-performance and availability at global scale with full MySQL and PostgreSQL compatibility, at 1/10th the cost of commercial databases. Amazon Aurora read replicas allows you to increase the read capacity of your Aurora cluster beyond the limits of what a single database instance can provide. Now, Aurora Limitless Database scales write throughput and storage capacity of your database beyond the limits of a single Aurora writer instance. In this session, learn how you can focus on building high-scale applications with Aurora Limitless Database without having to build and maintain complex solutions for scaling your data across multiple database instances to support your workloads.

Speaker:
Deep Dey, Database Specialist Solutions Architect, AWS India

Apache Iceberg is one of the most popular open table formats leveraged for Analytics workloads. Amazon S3 Tables deliver the first cloud object store with built-in Apache Iceberg support and streamline storing tabular data at scale. S3 Tables deliver up to 3x faster query performance and up to 10x higher transactions per second compared to self-managed Iceberg tables stored in general purpose S3 buckets, making them specifically optimized for analytics workloads. Join us for this session to understand how you could improve performance and lower your overheads with S3 Tables.

Speaker:
Ninad Phatak. Senior Manager, Data Solutions Architects, AWS India

Join us for an insightful re:Invent 2024 Recap session, where we'll dive into the latest announcements and innovations from AWS. Gain valuable insights from our experts as they cover game-changing services like Amazon Nova, Amazon Bedrock, Amazon SageMaker Lakehouse, Data Lake 2.0 and more. Don't miss this opportunity to stay ahead of the curve in the ever-evolving cloud computing landscape.

Speaker:
Vijay Srinivasan, Senior Manager, Solutions Architects, AWS India

In this insightful session, explore the cutting-edge world of generative AI and discover how to harness the capabilities of Large Language Models (LLMs), AI Agents, and Agentic Workflows to build powerful and intelligent applications.

Speaker:
Ganesh Balkumar, Senior Solutions Architect, AWS India

This talk outlines essential strategies for preparing data for generative AI, focusing on ensuring data quality through processes like cleaning, labeling, and integration etc.

Speaker:
Madhavi Watve, Senior Solutions Architect, AWS India

As generative AI application gains popularity for building AI applications, effective monitoring and ethical use become essential. This session explores how to leverage Amazon CloudWatch for comprehensive observability of Bedrock-powered applications and introduces Guardrails for responsible AI implementation.

Speaker:
Shibu Jacob, Senior Solutions Architect, AWS India

This forward-looking talk explores the emerging trend of small language models (SLMs) and their potential to revolutionize domain-specific AI applications. Attendees will gain insights into the future of AI, focusing on:
The advantages and applications of SLMs in various industries. Practical examples of building and deploying domain-specific SLMs using Amazon SageMaker and scaling with Amazon Bedrock .Cutting-edge use cases, including: Code interrogation and generation for internal codebases, Reinforcement learning with human feedback (RLHF) for in-vehicle voice assistants.

Speaker:
Pavan Kumar Rao Navule, Solutions Architect, AWS India 

Generative AI is transforming how independent software vendors (ISVs) think about their businesses. In this session, see how a wide range of ISVs use generative AI technologies to improve their operations and enhance their products. Get a sense of where most ISVs are today on the adoption curve, explore the considerations of adopting generative AI in your business, and learn about AWS programs to support your generative AI journey.

Speaker:
Kamal Manchanda, Senior Solutions Architect, AWS India