AI Conclave Bengaluru

Registration and networking breakfast

The launch of AWS AI Conclave 2025

Speaker:
Sundar VG, Director, India Specialist, AWS India

Speakers:
Luke Anderson, Managing Director, Data & AI, APJ, AWS
Rick Sears, Director, Data Processing & Experience, AWS

Speaker:
Vasant Rao, Managing Director, IDC India

Speakers:
Harsha Bhogle, Indian cricket commentator and journalist
Ravichandran Ashwin, Indian cricketer

AWS AI Awards

Networking lunch

This session explores the current landscape, capabilities, and evolution of Amazon's fully managed service for building generative AI applications. This comprehensive overview examines how Amazon Bedrock serves as a foundation for accessing leading foundation models from various AI companies through a single API. In this session we will also look into security, compliance, real world implementation examples and use cases. This state of the union session provides valuable insights for developers, architects, and business leaders looking to leverage Amazon Bedrock for building and scaling AI-powered applications while maintaining control over their data and costs.

Speaker:
Mark Roy, Global Lead Solutions Architect, Amazon Bedrock, AWS

In this insightful session, you'll discover how Amazon Bedrock's generative AI services empower developers to launch generative AI applications faster and easier to production. Explore the power of Amazon Bedrock's prompt optimization, which enables seamless conversion of prompts across applications, unlocking new possibilities. Harness the potential of your enterprise data with Amazon Bedrock Knowledge Bases, a highly configurable RAG pipeline that equips Large Language Models (LLMs) with domain-specific knowledge. Witness the game-changing capabilities of Amazon Bedrock Agents, including the newly launched multi-agent collaboration, which streamlines task automation and enhances productivity. Ensure compliance and control over LLM-generated content with Amazon Bedrock Guardrails, a robust solution for enterprises.

From simple prompt-based applications to complex agent workflows, Amazon Bedrock's generative AI services offer a comprehensive suite of tools to accelerate your journey to production. Gain in-depth insights into the features and capabilities of these services and unlock the full potential of generative AI in your organization.

Speaker:
Ganesh Kumar Gella, Director, Software Development Engineers, Bedrock Dev Tooling, AWS

As organizations explore the transformative potential of generative AI, building production-ready applications requires more than just innovative or the latest of the models. In this session, we’ll dive into real-world use cases, share insights from the AWS Generative AI Innovation Center, and provide actionable best practices for designing robust, scalable, and secure generative AI solutions. Learn about key considerations like Agentic Orchestration, evaluation metrics, guardrails, and efficient inference strategies to accelerate your journey to enterprise-grade generative AI.

Speaker:
Atanu Roy, GenAIIC Leader, APJ, AWS

In this talk, gain a mental model for how your existing data and databases, as well as new database capabilities like vector search, can be utilized to build generative AI applications. The session will focus on how data and databases integrate with the Retrieval Augmented Generation (RAG) process and application architectures. As part of RAG workflows, we will discuss the utility of vector indexing and how to consider vector indexing capabilities as part of your database selection. We will explore how vectors are used in these applications and how the selection of vector indexes is similar to choosing a purpose-built database. Finally, you will learn about common use cases and how customers are leveraging AWS databases as part of their generative AI applications.

Speaker:
Joseph Idziorek, Director, Non-relational Databases, AWS

In this session, learn how to build scalable and intelligent generative AI applications using Amazon Bedrock, LangChain, and LangGraph. You will learn how to use Amazon Bedrock capabilities with LangChain to process and generate text, images, and data, enabling autonomous agents that understands natural language instructions. In this session, you will also learn how to bring open weight models to Bedrock using custom model import feature. Then, discover how to use the Amazon Bedrock Converse API to build conversational AI agents for streamlined customer service. Finally, you will understand how to integrate Amazon Bedrock with LangGraph to create multistep, AI-powered workflows that adapts to business requirements.

Speaker:
Rupinder Grewal, Senior Generative AI Specialist Solutions Architect, AWS

In this session, we’ll start by examining Inline Agents, which offer runtime configuration capabilities, transforming your agent development process. We’ll then cover the custom orchestrator feature, allowing you to bring your own orchestration strategy to Bedrock Agents. Finally, we’ll explore the exciting world of multi-agent collaboration, discussing how to plan and execute complex tasks across different agents using the supervisor collaboration mode, and how to implement unified conversations with built-in intent classification.

Speaker:
Praveen Jayakumar, Head of AI & ML Solutions Architecture, AWS India

Discover how Cyient is revolutionizing railway infrastructure management by transforming 2D track drawings into dynamic 3D BIM models using AWS services. This groundbreaking solution leverages computer vision, generative AI, and cloud computing to automate the conversion process, significantly reducing time and costs. Learn how Amazon Rekognition, Amazon Bedrock, and other AWS technologies are integrated to extract critical information from legacy drawings and create accurate, data-rich 3D models. Explore the challenges overcome, the innovative workflow developed, and the substantial benefits realized, including enhanced visualization, improved collaboration, and streamlined lifecycle management.

Speakers:
Anutosh, Solutions Architect, AWS India
Rajaneesh Kini, Chief Technology Officer, Cyient

Explore how Raymond, a leading textile retailer, is transforming the apparel shopping experience with their innovative virtual try-on solution. This groundbreaking application, Aymo, addresses the long-standing challenge of visualizing how fabrics will look as finished garments on individual customers. Leveraging AWS services including Amazon SageMaker, S3, Lambda, and API Gateway, Raymond has implemented a generative AI solution using the Stability XL LLM model.

Learn how this technology allows customers to see themselves in selected clothing, either in-store or online, by simply uploading a photo. Discover the seamless integration of computer vision and generative AI to create a realistic, custom-fitted view of garments on the customer's image. This session will delve into the ideation and development process, discussing challenges overcome and the significant benefits realized, including enhanced customer satisfaction, reduced returns, and a more engaging shopping experience. Gain insights into how this solution is revolutionizing apparel retail by enabling customers to make more informed choices with a wider range of options.

Speakers:
Sandeep Jangam, Senior Solutions Architect, AWS India
Anuj Dinesh Variava, Lead, Digital Initiatives, Raymond

The future of work is being reshaped by visionary partnerships. LUMIQ, in collaboration with AWS, is driving the shift toward the agentic enterprise—an AI paradigm where AI Knowledge Workers manage entire workflows with speed, learning, and adaptability. By uniting AWS’s unmatched reliability with LUMIQ’s deep data, AI, and financial services expertise, human creativity is unleashed while AI propels business operations into a smarter, outcome-driven environment.

Introducing LiteCone, a family of verticalized SLM for insurance, capital markets and banking; alongside the AgenticAI Lifecycle Platform—both designed to scale AI deployments and harness the full potential of generative AI. In fact, LUMIQ has already deployed its first AI Knowledge Worker, Leo, the underwriter, in production for a leading life insurance provider, demonstrating our commitment to delivering real-world impact. 

Speaker:
Vaibhav Dobriyal, Co-founder and Chief Product Officer, Lumiq

mPokket has unveiled an innovative AI based tutoring and mentoring platform that harnesses the power of LLMs/Claude 3.5 to run demo interviews, build resumes, prepare for competitive exams and develop communication skills for India's youth.

Speakers:
Ajeet Dubey, Solutions Architect, AWS India
Vaidya Nathan S Iyer, Chief Business Officer, mPokket

Discover how Zolve is revolutionizing its customer service quality assurance process using Amazon Q. With 400-500 daily live customer interactions, Zolve faced challenges in efficiently reviewing and improving agent performance. This innovative solution leverages generative AI to automate the analysis of chat conversations against standard operating procedures (SOPs). This session will delve into the proof-of-concept implementation, discussing the challenges overcome and the significant benefits realized, including enhanced accuracy in assessments and rapid identification of improvement areas. Gain insights into how this AI-driven approach is transforming customer service quality management, enabling more comprehensive and timely feedback for agents, and ultimately improving customer satisfaction.

Speakers:
Nayanendu Mishra, Senior Solutions Architect, AWS India
Mridul Gupta, Head of Engineering, Zolve

Regulatory compliance management presents significant challenges for organizations across various industries, particularly due to the rapid pace of regulatory change and the human effort required to navigate these complexities. The challenges of regulatory compliance management necessitate a strategic approach that incorporates technology solutions to automate processes and improve visibility across departments. Join this session to explore how Quinnox has transformed regulatory compliance.

Speakers:
Nitin Kumar, Solutions Architect, AWS India
Krishna Kumar Chakkirala, Vice President, Data and AI Practice, Quinnox

The boundaries between data analytics and AI are blurring as data workers’ behaviors evolve, and previously distinct data roles and use cases converged. Getting to near real-time, trustworthy insights have become paramount, so data workers are seeking seamless collaboration and interoperability across tools and data sources. Join this session to envision a future with AWS where your data workers can effortlessly move between analyzing historical patterns, predicting future scenarios, and automating decision flows at scale, breaking through disparate tools and siloed workflows.

Speaker:
Rick Sears, Director, Data Processing & Experience, AWS

Amazon Aurora DSQL is a serverless distributed SQL database with multi-Region active-active capabilities. With its active-active distributed architecture, Aurora DSQL ensures strong data consistency designed for 99.99% single-region and 99.999% multi-region availability. Its serverless design eliminates the operational burden of patching, upgrades, and maintenance downtime. In this session, learn how active-active architecture in Aurora DSQL delivers single- and multi-region resiliency and virtually unlimited scale.

Speaker:
Eric Kraemer, Senior Product Manager Tech, AWS Distributed SQL, AWS

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:
Madelyn Olson,  Principal Engineer, AWS ElastiCache, AWS

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:
Jignesh Shah, Director, RDS Open Source, AWS

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 Amazon S3 Tables.

Speaker:
Arvinth Ravi, Director, Software Development, S3 Tables, AWS

In a highly complex and multi-dimensional world, to ensure that risk outcome is favourable to all stakeholders in the value chain, the OmniGenAI solution is capable of analysing multiple attributes to identify trends and patterns that ultimately help in making risk decisions more accurate, precise, and timely as well as cost-effective. This otherwise is a complex task that is prone to manual oversight, judgement errors, and human biases and can cost companies at the claim stage. This solution streamlines and enhances risk evaluation for customers before policy issuance. Tune into this session to gain insights on how Canara HSBC Insurance helped transform underwriting processes.

Speakers:
Tarun Sachdeva, Senior Solutions Architect, AWS India
Sachin Datta, COO, Canara HSBC Life Insurance

Discover how CEAT Limited revolutionized its manufacturing operations using AWS cloud services. By migrating SAP S/4HANA to AWS and creating a centralized data lake on Amazon S3, CEAT integrated data from 250+ sources. This foundation enabled AI/ML applications like intelligent tires with telemetry sensors and predictive maintenance using Amazon SageMaker. Learn how CEAT dramatically reduced infrastructure deployment time and implemented real-time analytics with Amazon QuickSight. Explore their journey from data centralization to advanced AI applications, showcasing how a robust cloud strategy can drive manufacturing innovation and customer-focused digital services.

Speakers:
Ruchi Chadha, Account Manager, AWS India
Aditya Jain, Head of Digital & Analytics, CEAT Tyres

In this session, learn how e6data uses Amazon Bedrock to generate embeddings on data stored in S3, unifies SQL querying and vector search to build advanced search, recommendation systems, fraud detection, and RAG applications—all while keeping data securely within your existing lakehouse.

e6data is an object-store native compute engine re-imagining mission-critical workloads on open, composable, and cost-effective architectures built on Amazon S3. It handles high-concurrency user-facing workloads across real-time ingestion, low-latency querying, and vector search, enabling use cases like search, recommendations, fraud detection, and RAG. Learn how this helps enterprises deliver generative AI solutions with unparalleled efficiency and scalability.

Speaker:
Vishnu Vasanth, Co-founder & CEO, e6data

Witness the transformation of India's Government e-Marketplace (GeM) that is harnessing the power of generative AI. This session reveals how GeM and AWS have partnered to create and deploy the first public sector generative AI based chatbot on its procurement portal. Learn how data standardization, AI, automation, and streamlined workflows are being included in the architecture and designs for the nextgen G2B marketplace in GeM 2.0. Discover the power of Amazon SageMaker Studio in building an intuitive, AI-driven interface handling millions of transactions. Join us to explore how GeM is aiming to set new benchmarks in digital governance, and gain insights to drive your own AI initiatives. Don't miss this opportunity to be at the forefront of AI-powered public sector innovation!

Speakers:
Pradeep Jhunjhunwala, Head of Public Sector Partner Solutions Architects, AWS India
Dr. Pankaj Dikshit, PhD, Chief Technology Officer, Government e-Marketplace, Ministry of Commerce

In this session, we dive deep into the technical implementation, exploring how Airtel Payments Bank modernised their data platform with AWS managed analytics pipeline . We'll delve into deep technical discussion around migration and modernisation of data platform on AWS to fuel building fraud management and hyper personalization machine learning models.

Speakers:
Santapan Sarkar, Principal Solutions Architect, AWS India
Amit Prakash, VP, Enterprise Architecture , Airtel Payments Bank

Discover how AI-driven attribute tagging is transforming restaurant discovery and customer experience. This innovative project leverages advanced image analysis and natural language processing to extract key features from menu images, ambiance photos, and customer reviews. Learn how the system identifies attributes like Romantic Dining, Luxury Dining, WFH facilities, and family-friendly setups, enhancing cuisine tagging accuracy and relevance. Explore how this comprehensive approach creates detailed restaurant profiles, improving partner discoverability and customer satisfaction. Gain insights into the integration of AI technologies for multi-faceted data analysis in the F&B tech sector, showcasing the power of intelligent tagging in enhancing digital dining experiences.

Speakers:
Vishal Gupta, Senior Solutions Architect, AWS India
Poonam Thapar, Engineering Manager, Zomato

In this session, you will delve into the world of leveraging AWS to create innovative generative AI solutions. These solutions are designed to empower researchers, publishers, and academic institutions, enabling them to streamline their writing and publishing processes with remarkable efficiency. Prepare to unlock the potential of cutting-edge technologies and revolutionize the way academic content is created and disseminated.

Speakers:
Smita Singh, Senior Solutions Architect, AWS India
Nishchay Shah, Group CTO & EVP, Products & AI, Cactus Communications

In this session, dive into the world of AI Agents and their specialized builders, enabling complex task completion and decision-making scenarios through multi-agent orchestration and collaborative AI agents.

Speakers:
Soujanya Konka, Senior Solutions Architect, AWS India
Prajakt Deshpande, SVP Engineering, Kore.ai

This session explores Freshworks' journey in infusing generative AI into its SaaS products, transforming technological potential into tangible business value.

Speakers:
David John Chakram, Principal Solutions Architect, AWS India
Sreedhar Gade, Vice President, Engineering, Freshworks

In this session, witness the transformative power of Innovaccer's InNote, revolutionizing point-of-care delivery. Experience how InNote seamlessly integrates with Amazon EMRs, overlaying them with real-time insights driven by cutting-edge computer vision technology. Prepare to be amazed as this innovative solution redefines the way healthcare professionals approach patient care, enhancing clinical decision-making and streamlining workflows like never before.

Speakers:
Raghavendra Prakash, Senior Solutions Architect, AWS India
Nilav Ghosh, Director of Data Science, Innovaccer

Discover how Yubi transformed its loan processing and customer verification systems using Amazon SageMaker Training and accelerated compute, achieving a 40% reduction in processing time, 60% improvement in document classification accuracy, and 30% increase in successful KYC verifications. This implementation not only streamlined operations but also showcased the transformative potential of advanced machine learning in the financial sector.

Speakers:
Jeeri Deka, Solutions Architect, AWS India
Mathangi Sri Ramachandran, Chief Data Officer, Yubi

Observe.ai is a leading conversational intelligence platform that leverages advanced AI models to analyze real-time and post-call conversations. Their platform extracts valuable insights such as call summarization, sentiment analysis across segments, agent performance evaluation, and coaching recommendations. By utilizing Amazon SageMaker, Observe.ai trains and deploys their models, supporting over 100,000 agents across 250 customers worldwide. Additionally, they leverage Amazon Bedrock to provision state-of-the-art language models enabling rapid deployment of new features and optimizing model training and deployment cycles.

Speakers:
Niyati Upadhyay, Senior Solutions Architect, AWS India
Jithendra Vepa, CTO, Observe.ai