Agenda

AWS Summit India Keynote

Breakout tracks

• Track 1 - Generative AI for builders

   

  Amazon Bedrock - Simplifying generative AI app development
  

  Level: 100 - Introductory
  

  What to learn how to quickly and easily develop generative AI applications with Amazon Bedrock?
  Amazon Bedrock is the easiest way to build and scale generative AI applications with LLMs and other FMs. You enjoy the broadest choice of models - many of which are available first, or only, on Bedrock. You can add your own business context quickly, easily, privately – with the broadest selection of customization options. With Amazon Bedrock, developers can access a wide range of pre-trained AI models from leading AI startups and Amazon's own Titan models, as well as the ability to train their own custom models on large datasets. It provides agents, RAG, model evaluation and is encapsulated with responsible AI (guardrails) and much more.

  Speaker:
  Sahil Verma, Senior Solutions Architect, AWS India
  

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  Conquer cloud challenges with a competitive edge with AMD
  

  Level: 200 - Intermediate

  It has become very clear, the incredible opportunity that generative AI has for all our businesses. This opportunity came so quickly, that it took many IT departments by surprise. The AI opportunity came, but it didn’t bring the IT budget or resources along with it. Every CIO has an AI strategy. And part of that strategy is the new challenge to figure out how to drive new AI initiatives with the same budget. That is what AMD i here to talk about in this session. The solution, or part of the solution, at least.
  You can take all of your existing, high-volume workloads on EC2, and get double the application performance, while saving significantly on your monthly cloud spend.

  Speaker:
  Shilpesh Shah, Senior Solution Architect, AMD India Pvt. Ltd
  

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  Powering generative AI applications with AWS purpose-built infrastructure

  Level: 300 - Advanced
  

  What is the purpose-built infrastructure that powers innovative generative AI applications on AWS? This session provides a behind-the-scenes look at how AWS Trainium and AWS Inferentia2 accelerators enable Amazon teams and AWS customers to build, deploy, and scale high-performance generative AI models at optimized costs. Learn how organizations across industries are leveraging the secure, innovative, and performant AWS Cloud to solve complex challenges, turn groundbreaking ideas into reality, and deliver innovative solutions at scale.

  Speaker:
  Ashwini Kumar, Senior Specialist Solutions Architect, AWS India
  

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  Unlock the power of no-code AI: Explore Amazon SageMaker's LLM driven capabilities
  
  Level: 200 - Intermediate

  Learn to use the no-code Amazon SageMaker experience to build and use large language models (LLMs). See how to complete the entire ML lifecycle, including data exploration and preparation, using a new LLM-powered natural language interface, model building, and deployment without any code. Dive deep into new LLM capabilities, including how to compare outputs from multiple FMs and select the best FM to perform business analysis.

  Speakers:
  Gaurav Singh, Senior Solutions Architect, AWS India
  Aparajithan Vaidyanathan, Principal Enterprise Solutions Architect, AWS India
  

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  Train anywhere: Infer on Qualcomm Cloud AI with developer-centric toolchain
  
  Level: 200 - Intermediate

  Delivering generative AI at scale requires developer-friendly and secure solutions. Qualcomm Cloud AI 100 toolchain provides an efficient transformers library to easily deploy any pre-trained model and realize an optimized generative AI application with Qualcomm’s Cloud AI 100 Inference solution in AWS EC2. Qualified developers will be offered an opportunity to trial the AWS DL2q instance.
  

  Speaker:
  Nitin Jain, Director Engineering, Qualcomm
  

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  Unleash the potential of prompt engineering: Optimize your LLMs on Amazon Bedrock
  

  Level: 200 - Intermediate

  Prompt engineering is the process of guiding large language models (LLMs) to produce desired outputs. In this session, get an overview of prompt engineering best practices and learn how to choose the most appropriate formats, phrases, words, and symbols to get the most out of generative AI solutions while improving accuracy and performance. This session uses the Claude 2 LLM as an example of how prompt engineering helps to solve complex customer use cases. Also learn how prompts can be integrated with your architecture and how to use API parameters for tuning the model parameters using Amazon Bedrock.

  Speaker:
  Senthil Jeyachandran, AI & ML Specialist Solutions Architect, AWS India
  

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  Supercharge your development with AWS generative AI developer tools
  

  Level: 300 - Advanced

  Generative AI has the power to help you reimagine the way that developers and organizations learn, plan, create, deploy, and securely manage applications. Across the software development lifecycle—from architecting to developing, testing, deploying, and maintaining applications—generative AI developer tools save time, automate undifferentiated heavy lifting, and create space for innovation and creativity. Learn how AWS is innovating responsibly to deliver tools such as Amazon Q and Amazon CodeWhisperer so that builders can focus on meaningful work that drives impact for their customers.
  

  Speaker:
  Ramesh Ranganathan, Senior Partner Solutions Architect, AWS India
  

• Track 2 - AWS for data

   

  Build a data foundation to fuel generative AI
  

  Level: 200 - Intermediate
  

  Data has long been considered a strategic asset by organizations, but generative AI puts a renewed emphasis on the importance of a data strategy. Whether you are building your own model or customizing a foundation model, your data is a key differentiator for generative AI, so you need a data strategy that supports relevant, high-quality data. In this session, learn about the data tools that can fuel your generative AI strategy and the common data patterns required to transform your generative AI application from a generic tool to a program that truly knows your business and your customer.
  

  Speaker:
  Niyati Upadhyay, Solutions Architect, AWS India
  

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  Successful cloud adoption through migration, cost optimization and automation
  

  Level: 300 - Advanced
  

  By harnessing continuous automation and cloud intelligent infrastructure, organizations can streamline operations, minimize downtime and accelerate delivery of cloud applications. Cost optimization strategies can further help streamline AWS spend by providing continuous visibility and analytics across your global AWS footprint. Join this session by NetApp as we discuss a roadmap for navigating cloud complexities and optimizing your cloud expenditure.
  

  Speaker:
  Gautam Jain, Director of Engineering, NetApp
  

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  Unlock insights from data on Amazon RDS by leveraging zero- ETL to Amazon Redshift
  

  Level: 300 - Advanced
  

  Discover how to unlock your data in Amazon RDS for MySQL and make it available in Amazon Redshift with the new zero-ETL integration. Once the data is in Amazon Redshift, you can power analytics and AI/ML workloads with materialized views, federated access to multiple data stores, and seamless integrations with Amazon SageMaker, Amazon QuickSight, and more. In this session, learnhow the Amazon RDS for MySQL zero-ETL integration with Amazon Redshift can help you solve typical challenges with building and operating data pipelines. See demos of a zero-ETL setup, ongoing data and schema replication, and monitoring. Learn why and when you should use this powerful capability to accelerate your data strategy.

  Speakers:
  Deep Dey, Database Solutions Architect, AWS India
  Dipayan Sarkar, Senior Analytics Specialist Solutions Architect, AWS India
  

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  Deep dive on Amazon S3 Express One Zone storage class
  

  Level: 300 - Advanced
  
  The Amazon S3 Express One Zone storage class delivers one of the fastest and lowest-latency cloud object storage for performance-critical applications that demand consistent single-digit millisecond latency and the ability to scale to millions of requests per minute for frequently accessed datasets. In this session, learn about this new single Availability Zone storage class, its new S3 directory buckets, and how you can now collocate storage and compute in the same AWS Availability Zone for more efficient use of compute resources and lower TCO. In addition, hear from Pinterest on how they improved the latency of one of their most critical applications.
  

  Spraker:
  Sandeep Aggarwal, Solutions Architect , Storage, AWS India
  

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  Driving down the cost of observability

  Level: 300 - Advanced

  Keeping observability costs under control while having full visibility into ever-growing telemetry data is the need of the hour for cloud-native companies. In this session, Coralogix's Director of Technology Solutions explores architectures and technologies to reduce your observability costs without compromising cloud performance. Coralogix, an AWS partner , is a full-stack observability platform.

  Speaker:
  Steve Lerner, Director of Technology Solutions, Coralogix

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  Generative BI in Amazon QuickSight
  

  Level: 300 - Advanced

  You can infuse generative AI into how your business users interact with data. In this session, learn how Generative BI capabilities in Amazon QuickSight allow business analysts to author dashboards using natural language and how business users can easily dive deep into data by simply asking questions. Discover how business users can also use Generative BI capabilities to quickly create compelling stories to drive decision-making, while developers can integrate these capabilities into applications to differentiate and monetize data like never before.
  
  Speaker:
  Aneek Arora, Quick Sight Solutions Architect, AWS India
  

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  How Swiggy uses Amazon ElastiCache to power their ML feature store
  

  Level: 300 - Advanced

  Amazon ElastiCache is a fully managed, Redis- and Memcached-compatible service delivering real-time, cost-optimized performance for modern applications. In this sessions we also also see how a Decacorn uses Amazon Elasticache innovatively as ML Feature store with data size in access to billion records with millions being actively retrieved during model inference, all while operating with Ultra low latency constraints.
  

  Speakers:
  Smita Srivastava, Solutions Architect, AWS India
  Shri Nath Agarwal, Software Developer IV, Swiggy
  

• Track 3: Build on AWS

   

  Migrating to Amazon EKS delivers cost savings, reliability gains and speeds up development for BigBasket
  

  Level: 200 - Intermediate

  BigBasket is India's largest online food and grocery store. They operate in multiple eCommerce channels such as Quick Commerce, Slotted delivery, and Daily Subscriptions. Customers can also buy products from their physical stores and Vending machines. They offer a large assortment of over 50 thousand products and are operating in over 500 cities & towns. BigBasket service to over 10 million customers.
  By migrating from self-managed Kubernetes clusters to Amazon EKS, BigBasket has achieved significant cost savings, improved reliability, and faster development cycles. With Amazon EKS, BigBasket has reduced their operations overhead by 60% as fewer engineers are required to manage Kubernetes infrastructure. Deployment failures due to API throttling have been eliminated completely. Across 6 environments, over 100 microservices have been migrated to Amazon EKS, enabling faster feature development. Overall release velocity has improved by 35%. Just as importantly, BigBasket has seen a drastic reduction in production downtime events since moving to Amazon EKS. The combination of increased agility and higher reliability has been transformational for BigBasket.
  

  Speakers:
  Ayush Kumar, Solutions Architect, AWS India
  Sushant Gulati, Senior Engineering Manager, DevOps, Cloud & Platform, Big Basket

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  Increasing computing efficiency to cut cloud costs by 50%+
  

  Level: 100 - Introductory

  The presentation starts with an overview of CPU and memory utilization in Kubernetes applications to show the culprits behind low computing efficiency. How can teams optimize resource usage, increase efficiency, and achieve cost savings? The presentation will show practical examples of automation solutions for Kubernetes.

  Speaker:
  Laurent Gil, Co-Founder and Chief Product Officer, Cast AI
  

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  Live streaming amplified with AWS purpose-built tools
  

  Level: 200 - Intermediate

  Delivering high-quality live and on-demand media globally is crucial in the digital age. AWS offers purpose-built services for organizations to reliably deliver, monetize, and support internet media, enabling unparalleled viewing experiences. This session showcases highly available architecture/s using AWS Solutions Library for reliable real-time viewing experiences. It covers live video streaming solutions for cost-effective global delivery and the AWS Countdown Service for optimizing critical event launches using proven AWS expert playbooks.

  Speakers:
  Mohammed Nawaz Shaikh, Technical Account Manager, AWS India
  Somnath Chatterjee, Senior Technical Account Manager, AWS India
  

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  Using generative AI to add tailored product summaries to an app
  

  Level: 200 - Intermediate

  Building tailored product summaries helps to better target your audiences, but it is time-consuming. The more attributes you consider to describe your audience, the more attribute combinations you get and the more distinct product summaries you have to write. In this chalk talk, explore how to use foundational models through Amazon Bedrock to generate product summaries from a survey application. See tailored product summaries crafted about the 200+ AWS service offerings based on the role of survey respondents, their maturity with AWS, the services they already know, and the services they want to know more about.
  

  
  Speaker:
  Mayur Bhagia, Principal Solutions Architect, AWS India
   

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  Freshworks rethinks NoSQL for rapid scaling and cost-efficiency
  

  Level: 200 - Intermediate

  Building tailored product summaries helps to better target your audiences, but it is time-consuming. The more attributes you consider to describe your audience, the more attribute combinations you get and the more distinct product summaries you have to write. In this chalk talk, explore how to use foundational models through Amazon Bedrock to generate product summaries from a survey application. See tailored product summaries crafted about the 200+ AWS service offerings based on the role of survey respondents, their maturity with AWS, the services they already know, and the services they want to know more about.
  

  Speaker:
  Sunderjeet Singh, Regional Sales Head and Country Manager, ScyllaDB
  

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  Harnessing generative AI to build data-driven brands
  

  Level: 200 - Intermediate
  

  In this chalk talk, learn about the evolving landscape of CPG companies as they transition into data-centric organizations, leveraging AWS Cloud infrastructure and generative AI using Amazon Bedrock. Learn about rapid development tools that empower CPGs to quickly deliver AI-driven use cases for R&D, advertising, revenue growth, and their product catalogs. Gain insights on how you can deploy intelligent virtual assistants that augment customer engagement and manufacturing using Amazon Bedrock and Anthropic’s Claude models. Walk away with a blueprint on how you can bring value to your organization with AWS infrastructure and generative AI.
  

  Speaker:
  Yogish Kutkunje Pai, Senior Solutions Architect, AWS India
                   

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  Harness the power of AWS to build game-changing applications
  

  Level: 200 - Intermediate
  

  Organizations in every industry are looking to solve bigger challenges, turn groundbreaking ideas into reality, and deliver innovative solutions at scale. This requires an infrastructure that scales limitlessly, delivers high performance at optimized costs, and supports constant innovation. In this session, learn how organizations are using the secure, innovative, and performant AWS Cloud to build game-changing applications. With the broadest and deepest functionality for compute, AWS can support the needs of even the most demanding workloads to run complex ML models, leverage generative AI, or implement applications that require large-scale high performance computational power at low costs.
  

  Speaker:
  Santosh Kumar, Senior Specialist Solutions Architect, AWS India
  

• Track 4 - Security, compliance and resilience

   

  Take data protection from theory to practice on AWS
  

  Level: 200 - Intermediate

  As India enacts its Digital Personal Data Protection Act 2023 (DPDP), data protection becomes critical . In this session, you will understand how native AWS data protection services can provide you with granular controls over access , implement encryption , audit and policy enforcement - allowing you to build a highly secure foundation for your data. This session is suited for security leaders and builders , who need to understand data protection capabilities to meet compliance requirements and best practice implementations – basic understanding of AWS security services is recommended

  Speaker:
  Rajendra Shastrakar, Principal Security Architect, AWS India
  

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  Platformization: A practical and scalable approach to cloud security
  

  Level: 200 - Intermediate

  Attacks on cloud applications are moving at machine speed, with attackers now able to compromise vulnerable applications within hours of CVEs being published. This session outlines key 'platformization' strategies that can help organizations better secure AWS environments at scale by taking an 'application centric' view to AWS security architecture.
  

  Speaker:
  Rakesh Singh, Cloud Security Systems Engineer, India, Palo Alto Networks
  

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  Best practices for creating multi-Region architectures on AWS
  

  Level: 300 - Advanced

  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. Whether you’re needing to expand to multiple Regions to improve resilience, adhere to governmental data regulations, or improve end-user latency, this session highlights best practices, design principles, and sample architectures to help you meet your requirements.
  

  Speakers:
  Sornavel Perumal, Senior Technical Account Manager, AWS India
  Anshika Gupta, Technical Account Manager, AWS India
  

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  Navigating digital sovereignty with more control and choice
  

  Level: 200 - Intermediate

  Organizations are facing increasing complexity in an evolving sovereignty landscape. AWS customers have shared concerns about choosing between the full power of AWS and feature-limited sovereign cloud solutions that could hamper their ability to innovate and grow. AWS believes that organizations shouldn’t have to compromise. In this session, discover how the AWS sovereign-by-design approach provides organizations with the most advanced set of sovereignty controls and security features, and learn how AWS offers infrastructure choice to support unique workload needs and local regulations. See real-word examples of how customers are using AWS’s range of sovereign offerings today.
  

  Speaker:
  Kush Vyas, Security Solutions Architect, AWS India
   

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  Threat modelling to evaluate the security and resilience of your generative AI workloads
  

  Level: 200 - Intermediate
  

  This session guides you through a practical approach, empowering you to create a threat model for your own generative AI applications. See a demo of how to implement effective mitigations to secure your generative AI workloads with Amazon Bedrock. Additionally, learn about the AWS resilience lifecycle, a mental model for resilience on AWS. Come gain confidence to securely build your next generative AI workload on AWS, as well as meet your long-term resilience objectives.
  

  Speakers:
  Ankush Agarwal, Solutions Architect, AWS India
  Atul Dambalkar, Senior Solutions Architect, AWS India
                   

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  Backup and disaster recovery strategies for increased resilience
  

  Level: 300 - Advanced
  

  Join this session to learn about different strategies for using AWS services to protect your on-premises and cloud-based applications against downtime and data loss. Discover how cloud technology can simplify your disaster recovery implementation while lowering total cost of ownership (TCO). In addition, take a deeper dive into AWS Elastic Disaster Recovery, and learn how this service can help organizations achieve recovery point objectives (RPOs) of seconds and recovery time objectives (RTOs) of minutes, as well as protect against, respond to, and recover from ransomware events.
  

  Speakers:
  Rajat Agarwal, Senior Technical Account Manager, AWS India
  Saikat Dey, Technical Account Manager, AWS India        
  

• Track 5 - Build with AWS Partners

   

  Empower enterprise applications: Harnessing the power of generative AI with MongoDB
  Atlas on AWS
  

  Level: 200 - Intermediate
  

  Learn how MongoDB Atlas on AWS enables organizations to accelerate the development of generative AI apps, enhance the accuracy of generated content, and leverage proprietary data for continuous learning. In this talk, we'll cover the power of MongoDB Atlas Vector Search and the document model for generative AI, as well as the synergy between MongoDB Atlas and AWS.
  

  Speaker:
  Babu Srinivasan, Senior Partner Solutions Architect, MongoDB

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  Generative AI in seconds: Making sense of unstructured data across industries
  

  Level: 200 - Intermediate
  

  Multiple industries face challenges analysing unstructured data, which sits in various forms. It is exacerbated even further when there is not enough skilled talent. In this session, we learn how to analyse call transcript data and extract insights for the insurance industry . Learn how to get started quickly , deliver value with unstructured data, and improve your analytics capability .
  

  Speaker:
  Pawan Mall, Senior Sales Engineer, Snowflake
  

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  Unlocking real-time AI: The next big thing
  

  Level: 300 - Advanced
  

  Organizations are racing to unlock the potential of real-time AI - the next big thing. This session uncovers the architecture and strategy to leverage the power of AI, big data, and machine learning to create real-time AI applications & analytics. Get insights into choosing generative AI models, implementing features such as RAG, and hybrid search, and the innovation it brings to business of the future.
  

  Speakers:
  Alex Anthony, Director of Business, India, SingleStore, Inc.Ashish Kumar, Director of Data Platform and Data Engineering, 6sense
  

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  Power Amazon Bedrock applications with Neo4j knowledge graph
  

  Level: 300 - Advanced
  

  Enhance language understanding and generate more contextually accurate responses with knowledge graphs and generative AI. Explore Amazon Bedrock's power to automate Neo4j knowledge graph creation from unstructured data. See how integrating this graph boosts generative AI accuracy and contextual understanding for more reliable interactions.
  

  Speaker:
  Sumit Shatwara,  Solution Architect , Neo4j
  

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  Unlocking the power of innovation on AWS with Noventiq
  

  Level: 300 - Advanced
  

  Discover how Noventiq revolutionizes document management and empowers efficient, intelligent document workflows built on AWS. Learn how Noventiq's Serverless Intelligent Document Management System (uDMS) stores and automates document management system processes by seamlessly organizing, and retrieving digital files for improved task and use case execution control. By operating in the cloud, organisations can go serverless, ensuring scalability, and high availability
  

  Speakers:
  Satheesh Nair, Head, Data & Analytics, Noventiq
  Yogesh Sharma, Head, Applications, Noventiq
  

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  How Dream11 brings your fantasy sports rank to you
  

  Level: 200 - Intermediate
  

  The Dream11 leaderboard sorts tens of millions of entries in real-time for every ball, every match, so fans have an interactive experience. Computing points and displaying ranks for a live match poses two distinct challenges at a scale of 400 million requests per minute at the edge. We will cover how Dream11 leverages AWS and Aerospike to bring sports fans their ranks to them within milliseconds.
  

  Speakers:
  Avik Baishya, Head of Strategic Account Management, Aerospike
  Bharat Kumar, Vice President, Engineering, Dream 11
  

• Track 6: Innovate with AWS Partners

   

  Facets of observability

  Level: 100 - Introductory
  

  The expanding complexity of today's technology landscape requires highly advanced tools to observe performance. The right tooling in your observability stack is essential to track down root causes of problems and even prevent them proactively . In this session by Datadog, we will discuss solutions that different observability facets provide, and how they work together , to ensure decisions are made with everyone looking at the same data.
  

  Speaker:
  Gaurav Sharma, Sales Engineer, Datadog
  

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  From data to discovery: Exploring the intersection of distributed database and AI
  

  Level: 200 - Intermediate
  

  Distributed databases and AI convergence revolutionize app scaling across hundreds of nodes with consistency, overcoming traditional database hurdles. With TiDB’s HTAP and AI features, developers can easily build apps on AWS, focusing on innovation rather than infrastructure challenges. It offers a distributed SQL database that is highly available, scalable, resilient, and secure, simplifying both development and deployment.
  

  Speaker:
  Bhanu Jamwal, Head of Solution Engineering, APAC, PingCAP
  

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  Let's get real with AI
  

  Level: 100 - Introductory
  

  What does your organisation really need to make AI a reality? To make AI a tangible business or to see ROI on investments? Do you know how to harness the most important evolution in recent IT history? Join Red Hat to discover how to get AI solutions running faster, and with better operational efficiency and how Red Hat’s decades of innovation, can help realise your AI strategy on AWS.
  

  Speaker:
  Ameeta Roy, Senior Director, Solution Architecture & Adoption, APAC, Red Hat
  

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  Modernizing with contextual analytics on AWS with Dynatrace: A customer story
  

  Level: 400 - Expert
  

  Explore how Dynatrace's AI-Powered observability accelerates cloud modernization and migration. Discover how seamless integration with AWS, optimizes resource allocation and enhances efficiency. Delve into success stories showcasing tangible business impacts, fostering innovation in the cloud and generative AI era.
  

  Speakers:
  Aparna Sehgal, Regional Director, Dynatrace
  Kiran Hejmadi, Senior Vice President, Product Strategy, Financial Software & Systems
  

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  Redis data integration: Cost-effective performance at scale
  

  Level: 200 - Intermediate
  

  Redis simplifies scaling for legacy apps by seamlessly integrating with traditional databases through Redis Data Integration or replacing them with its advanced querying and multi-modeling capabilities. Features like Search and Streams further simplify app architectures, reducing Total Cost of Ownership (TCO).
  

  Speakers:
  Abhishek Srivastava, Data Integration Guru, Redis
  Shekhar Suman, Multi-modeling Data Architect, Redis
  

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  Mastering the art of problem solving for engineers
  

  Level: 200 - Intermediate
  

  Are you an engineer who responds to incidents? Would you benefit from a methodical approach to problem solving? If yes, this session is for you. From the observations of New Relic incident response teams and advanced customers, a blueprint will be shared on what it takes to master problem solving. Learn about the proven recipe and the ingredients needed to solve problems faster, better and smarter.
  

  Speaker:
  Peter Marelas, Chief Architect, New Relic
  

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  Transforming AI landscape with Databricks Data Intelligence Platform on AWS
  

  Level: 200 - Intermediate
  

  Join us to explore how organizations can leverage the Databricks Data Intelligence Platform on AWS to fast-track their AI initiatives and accelerate time to value. The platform, built on a lakehouse architecture, provides a unified foundation for all data and governance, powered by a Data Intelligence Engine that uniquely understands your data's semantics. You will learn how Databricks combines generative AI with the benefits of a lakehouse to optimize performance, manage infrastructure uniquely to your business, and simplify user experience through natural language. Additionally, the session will highlight how Databricks enables rapid development of new data applications and AI solutions, ensuring strong governance and security without compromising data privacy and IP control.
  

  Speaker:
  Rajesh Ramdas, Senior Director, Field Engineering, Databricks