Generative AI for every business
Boost productivity, build differentiated experiences, and innovate faster with AWS.
 11 January, 2024
  10:00 AM – 5:00 PM IST

Amazon AI Conclave Online - Generative AI edition

Join us at Amazon AI Conclave Online – Generative AI edition, to discuss techniques, and share common use cases and ideas for implementing real-world projects using generative AI. This event brings together technology leaders, startup founders, and AWS AI & ML (artificial intelligence and machine learning) subject matter experts. The event features keynotes presented by industry and technology leaders, technical deep-dive sessions on Generative AI, 1:1 interaction with AWS AI & ML experts, and more.

With enterprise-grade security and privacy, access to industry-leading foundation models, and generative AI-powered applications, AWS makes it easy to build and scale generative AI; for your data, your use cases, and your customers. Attend Amazon AI Conclave Online to find out how you can reinvent customer experiences with generative AI on AWS.


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Why attend?

 Learn how to build, launch, and scale generative AI with the most cost-effective infrastructure.

 Witness demonstrations of AWS generative AI tools and resources.

 Get to know how generative AI innovations from AWS are helping organizations transform their businesses and solve real-world challenges.

 Explore ways to lower costs, boost revenue, and enhance employee productivity; using generative AI & ML.

 Learn more about responsible generative AI practices and what can be done to reduce the risks.

 Connect 1:1 with AWS experts for insights on building with AWS and cloud computing.

 Learn how Generative AI is changing the way we do business today with the ‘Generative AI: State of the union’ keynote.

 Learn how to build, launch, and scale generative AI with the most cost-effective infrastructure

 Witness demonstrations of AWS generative AI tools and resources

 Get to know how generative AI innovations from AWS are helping organizations transform their businesses and solve real-world challenges

 Explore ways to lower costs, boost revenue, and enhance employee productivity; using generative AI & ML

 Learn more about responsible generative AI practices and what can be done to reduce the risks

 Connect 1:1 with AWS experts for insights on building with AWS and cloud computing

 Learn how Generative AI is changing the way we do business today with the ‘Generative AI: State of the union’ keynote

Who should attend?

 Data CXOs

 Business Leaders

 AI/ML Practitioners

 Technology Entrepreneurs


 Ganesh Gella

Ganesh Gella

Director of Engineering, Amazon Lex & Amazon Bedrock Agents, AWS

Kumara Raghavan

Kumara Raghavan

Head of Startup, AWS India

Vasant Rao

Vasant Rao

Managing Director, IDC India

Seetha Rama Krishna Nookala

Seetha Rama Krishna Nookala

Director, HPC and AI, APAC & Japan, Intel

Prashanth Kaddi

Prashanth Kaddi

Partner, Deloitte India

Madhura DasGupta Sinha

Madhura DasGupta Sinha

Founder & CEO, Aspire For Her 

T.K. Anuradha

T.K. Anuradha

Retired Director, SATCOM Programme, ISRO Head Quarters


K. Vasantha

UN Vasantha kumari

Retired Group Director, U R Rao Satellite Centre, ISRO

Kalpana Arvind

Kalpana Arvind

Associate Director, Laboratory for Electro Optics Systems, ISRO

Anuradha S Prakasha

Anuradha S Prakasha

Project Director, U R Rao Satellite Centre, ISRO


10:00 AM - 10:15 AM

Welcome note

Speaker: Kumara Raghavan, Head of Startup, AWS India

10:15 AM - 11:00AM

Generative AI keynote

Speaker: Ganesh Gella, Director of Engineering, Amazon Lex & Amazon Bedrock Agents, AWS

11:00 AM - 11:15 AM

Capitalizing on the promise of generative AI

Speaker: Vasant  Rao, Managing Director, IDC India

11:15 AM - 11:45 AM

Intel AI everywhere

Speaker: Seetha Rama Krishna Nookala, Director, HPC and AI, APAC & Japan, Intel

11:45 AM - 12:00 PM

Agile AI: Crunching time to market

Speaker: Prashanth Kaddi, Partner, Deloitte India

12:00 PM - 1:00 PM

Panel discussion: Boosting Indian space exploration to new heights through emerging technologies

Madhura DasGupta Sinha, Founder & CEO, Aspire For Her

T.K. Anuradha, Retired Director, SATCOM Programme, ISRO Head Quarters
UN Vasantha kumari, Retired Group Director, U R Rao Satellite Centre, ISRO
Kalpana Arvind, Associate Director, Laboratory for Electro Optics Systems, ISRO
Anuradha S Prakasha, Project Director, U R Rao Satellite Centre, ISRO

1:00 PM - 1:30 PM


    • Track 1: Generative AI on AWS
    • Build your generative AI application with Amazon Bedrock

      We are at an exciting inflection point in the widespread adoption of machine learning (ML); with the growth of generative AI applications. In this session, learn how to build your generative AI application with key services including Amazon Bedrock. Get tips on getting started quickly. Learn from reference architectures for common use cases built with AWS AI & ML tools and services, such as self-service customer support, text analysis, report generation, post-call analysis, and forecasting trends.

      Speaker: Harshal Pimpalkhute, Senior Manager Product, Generative AI, AWS

      Time: 1:30 PM  - 2:00 PM

      Innovate on enterprise data with Amazon Q to improve employee productivity

      Bringing the power of generative AI to your employees in a secure and fast way can be challenging. Amazon Q is a new type of assistant powered by generative AI that is designed for work and can be tailored for your business. In this session, we'll explore how Amazon Q can provide secure, quick access to answers from the content in your enterprise and help improve productivity for your employees. Learn how you can setup and use Amazon Q to get contextual answers from connected data sources, summarize documents, generate content , and automate actions across enterprise applications and document repositories.

      Speaker: Vijai Gandikota, Principal Product Manager, AWS

      Time: 2:00 PM - 2:30 PM

      Simplify generative AI app development with Agents for Amazon Bedrock

      FMs effectively conduct conversations, create content, and drive productivity, but they can deliver more value if they’re equipped to transact with company systems to complete multi-step tasks. Fully managed Agents for Amazon Bedrock enables generative AI applications to help perform multi-step tasks across company systems and data sources, saving you from engineering prompts, training models, or manually connecting systems. Agents can plan and perform most tasks, from answering customer questions about product availability to checking inventory. Learn how to create agents by securely orchestrating enterprise APIs and data using natural language.

      Speaker: Santosh Ameti, Senior Software Development Manager, Amazon Bedrock, AWS  

      Time: 2:30 PM - 3:00 PM

      Architecture patterns for building generative AI applications

      In this session, we will talk about different architecture pattern for common generative AI use cases like text generation, summarisation, search and chat. We will also talk about how you can use embedding models along with vector database to search your document that is available in different data stores in your organization.

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

      Time: 3:00 PM - 3:30 PM

      Gain impactful insights with no-code AI & ML and generative BI

      Generative BI is an approach to Business Intelligence (BI) that uses Artificial Intelligence (AI) to make data more accessible and actionable. With generative BI, you can quickly and easily identify, surface, and leverage meaningful insights from data, even if you have no coding experience. In this session, cut through the hype and get to know what is real, what is available now, and how it will change the way organizations use data to make decisions. Learn how to use Generative BI will drastically increase productivity and allow companies to make better decisions, while greatly increasing availability to users.

      Speaker: Michael Armentano, APJ GTM Lead, Generative BI and QuickSight, AWS

      Time: 3:30 PM - 4:00 PM

      Deploy foundation models with performant, scalable, cost-effective inference on Amazon SageMaker

      Foundation models (FMs) enable cutting-edge AI applications, but deploying them at scale can be challenging. This session will explore strategies for performant, cost-optimized inference using Amazon SageMaker. We will provide an overview of new SageMaker features and tools to efficiently deploy hundreds of FMs for production inference. Attendees will learn how to architect scalable solutions that maximize performance and minimize costs for large-scale FM inferencing. Attendees will leave equipped with knowledge to unlock the potential of foundation models using SageMaker's performant, cost-effective, and scalable inference capabilities.

      Dhawal Patel, WW ML Solutions Architecture Leader, AWS

      Time: 4:00 PM - 4:30 PM

      Accelerate foundation model development with Amazon SageMaker JumpStart

      Generative AI is empowering organizations to innovate faster to reinvent customer experiences and applications. But how can you ensure flexibility and control within your organization for generative AI application development? Amazon SageMaker provides managed infrastructure and tools to accelerate scalable, reliable, and secure foundation model (FM) development. In this session, dive into how Amazon SageMaker JumpStart makes it easy for ML practitioners to access FMs—including the best-performing publicly available FMs. Then see how you can evaluate, fine-tune, and deploy FMs using SageMaker, helping you to quickly get started.

      Hasan Poonawala, Senior AI/ML Specialist Solutions Architect, AWS

      Time: 4:30 PM - 5:00 PM

    • Track 2: AI & ML stories
    • Leveraging GenAI for assisting life insurance sales agents on the field

      Sales Genie is a generative AI (artificial intelligence) based virtual life insurance trainer bot solution. This virtual life insurance trainer bot provides real-time, on-demand sales intelligence assistance to field sales agents, through a conversational chat platform. It improves sales productivity by providing the sales agents with appropriate answers to any sales related questions, financial market intelligence, and customer sales pitches. The solution leverages several generative AI models, along with associated transformer models (instruction tuned LLMs, vector embedding models, and speech transcription models). These are trained and contextualized, for specific Max Life Insurance sales processes, insurance products, market insights; and to handle all types of sales scenarios using Max Life Insurance sales training and product documents. In this session learn about the powerful capabilities of this solution.

      Senthil Jeyachandran, AI & ML Specialist, Solutions Architect, AWS India
      Sanjay Thawakar, SVP & Head of AI Works & BPMA, Max Life Insurance

      Time: 1:30 PM  - 2:00 PM

      SirionLabs revolutionizes enterprise CLM using generative AI

      SirionLabs provides CLM (contract lifecycle management) solutions to enterprises. They work with multiple contracts and have multiple generative AI use cases, such as summarization of contract, contract renewal with updated clauses, tracking contractual SLAs (service level agreements) post signing, and more. SirionLabs tried several other LLMs, but were unable to achieve the right balance of performance and cost. Eventually they fine-tuned Llama 2 with their own data on Amazon SageMaker JumpStart, which helped them achieve the desired results in a cost-effective manner. Join this session to find out how AWS is helping SirionLabs optimize their inference/training ratio for a better price performance and scale.

      Sujan Balachandran, Vice President of Products, SirionLabs
      Raviraj Prajapat, Principal Data Scientist, SirionLabs

      Time: 2:00 PM - 2:30 PM

      Staqu's JARVIS AI - Enhancing Homeland security and boosting retail with AI-powered analytics model

      JARVIS is an AI-powered audio-video analytics model developed by Staqu Technologies. It has the capability to transform CCTV footage into meaningful information and provides real-time alerts. JARVIS has helped law enforcement agencies, retailers, and manufacturers; with insights into real-time occupancy, efficient queue management, and footfall analytics. JARVIS’s customers include police departments of nine Indian states (Uttar Pradesh, Rajasthan, Bihar, Uttarakhand Punjab, and Haryana, and more), Adani Power, Croma, Starbucks, Café Coffee Day and WeWork. Join this session to understand how JARVIS can offer your organization innovative solutions for growth and security.

      Varun Kumar, Solutions Architect, AWS India
      Anurag Saini, Co-founder & CTO, Staqu Technologies

      Time: 2:30 PM - 3:00 PM

      Using generative AI to make retail search engines smarter and more efficient

      Ace Turtle, a leading tech-native retail company is spearheading the retail industry’s next phase of transformation. It is vertically integrated to include design, local manufacturing, and marketing. Its proprietary technology uses data science from design to fulfilment, to meet ever-evolving consumer expectations. Ace Turtle is the exclusive licensee of global brands Lee®, Wrangler®, Toys”R”Us®, Babies”R”Us® and Dockers®, for India and other South Asian markets. The search within Toys”R”Us® and Babies”R”Us® websites was not yielding accurate results due to a lack of quality metadata and product descriptions, resulting in discovery challenges for potential buyers and affecting sales. In this session, learn how Ace Turtle built a search engine where product metadata is extracted through computer vision models from product images. The search capabilities were improved by adapting semantic search using VectorDB and Amazon Titan Embeddings.

      Ashoka Gajula, Solutions Architect, AWS India
      Amit Kriplani, CTO, Ace Turtle

      Time: 3:00 PM - 3:30 PM

      Scaling enterprise AI with's generative AI platform

      Generic AI solutions often fail to address industry-specific challenges. LLMs provide a flexible foundation for tailored enterprise AI applications, but developing and deploying custom LLMs poses challenges around data privacy, infrastructure scaling, multi-tenancy, and cost optimization. In this session, explore how's generative AI platform enables enterprises to efficiently build, host, and scale customized LLMs on GPU clusters. Learn about real-world examples of LLMs fine-tuned on Falcon, OPT, and T5 to address unique client needs across industries. Discover how leverages Amazon SageMaker and Amazon Bedrock for fine-tuning and hosting custom enterprise LLMs. Get insights into how they observed performance gains by running LLMs on Amazon Elastic Compute Cloud Inf2 instances using AWS Neuron SDK.

      Jaydev Nath, Solutions Architect, AWS India
      Prasanna Arikala, CTO,

      Time: 3:30 PM - 4:00 PM

      Blend app's inference at scale in a cost effective way using Amazon SageMaker multi-model endpoints

      Discover how Blend powers its AI image editing app for ecommerce sellers with its fine tuned foundational models, and is able to reduce the cost of serving upto 30% by using Amazon SageMaker multi-model endpoints. In this session, discover design considerations to train models in a cost effective way as well as inferencing at scale on Amazon SageMaker.

      Krishna Chakka, Senior Solutions Architect, AWS India
      Jamsheed Kamardeen, Co-founder and CTO,

      Time: 4:00 PM - 4:30 PM

      Travelopia uses Amazon Bedrock to improve efficiency of its sales agents

      Travelopia, a provider of unique travel experiences, needed a platform for its sales agents such that they could work directly with customers on call. They had a huge repository of data which could help their sales agents plan trips efficiently for customers. They built a travel assistant chatbot for the purpose, using Claude on Amazon Bedrock, agents for Amazon Bedrock, and LangChain. The chatbot provides sales agents with the information and tools they need to create on-the-fly itineraries, find the best dates and places to visit, and book hotels. It helped Travelopia's sales agents serve more customers. Join this session to find out how the travel assistant chatbot was developed.

      Niyati Upadhyay, Solutions Architect, AWS India
      Sreekandh Balakrishnan, Technology Director, Travelopia

      Time: 4:30 PM - 5:00 PM

    • Track 3: AI & ML for business applications
    • Harnessing AI & ML for a unified 360 degree customer experience

      Salesforce Genie unifies customer data from marketing, and sales and service, to provide a 360-degree customer experience in real time. It uses Amazon SageMaker to integrate various customer platforms by enabling customers to use their own models, while also providing prebuilt and trained AI & ML models. The adoption of Salesforce Genie has been a gamechanger for Salesforce and customized versions across industries (healthcare, manufacturing, retail, and more), leading to increased usage. Join this session to learn how Salesforce Genie has transformed customer experience.

      Upendra V, Senior Solutions Architect, AWS India
      Adithya Nittor Vishwanath, VP of Software Engineering, Salesforce

      Time: 1:30 PM - 2:00 PM

      Ecom Express develops LLM to improve location intelligence using AWS AI & ML

      Accurate location and address intelligence is essential for e-commerce logistics, but it is a challenge in India where addresses are not standardized and geographical directories are unavailable. Ecom Express used AWS AI & ML services to develop large language models (LLMs) for the address and geospatial domain, trained on 1.6 billion data points collected over the past 10 years (including over 1 million addresses and their geocoordinates from daily operations). In this session, learn how Ecom Express used Amazon Elastic MapReduce to collate and transform the address data, and Amazon SageMaker to train the AddressGPT model using GPU (graphics processing unit) accelerated instances. The new system reduced misroutes from 7% to 3% on the daily load of over 1 million shipments, resulting in cost and TAT (turnaround time) breach savings.

      Dipta Shekhar Bhattacharya, Senior Manager, Solutions Architect, AWS India
      Manjeet Dahiya, VP & Head, Machine Learning & Data Sciences, Ecom Express

      Time: 2:00 PM - 2:30 PM

      Genie - AI powered enterprise architect assistant

      Genie, from Sixth Force Solutions is an AI-powered architecture assistant that improves the efficiency of your architecture practices, by assisting you in tasks such as model insights, validation, and documentation; among others. Genie’s use cases include Summary Assistant that produces a clear and concise summary of any conversation thread, Documentation Assistant that leverages generative AI technology to generate documentation, and AI assisted Model Search that helps you interact with your models and search for insights using natural language queries. Join this session to learn how AI powered architecture assistants can transform your business.

      Praveen Hosur Narayana Gupta, Solutions Architect, AWS India
      Nizam Mohamed, CEO, Sixth Force Solutions Pvt Ltd

      Time: 2:30 PM - 3:00 PM

      Axio reinvents infinitely-scalable BNPL (buy now, pay later) for a faster shopping experience

      Axio, an NBFC (non-banking financial company) that services over 90% of's BNPL (buy now, pay later) transactions, needed a scalable machine learning (ML) engine to make sub-second BNPL credit decisions for shoppers, who present minimal information and no documents. Delays affect cart-checkout rates leading to a direct business loss. Axio leveraged Amazon SageMaker across the MLOps lifecycle, from data preparation to model training, testing, deployment, and retraining. They used Amazon SageMaker Notebooks to improve the productivity of their ML teams and Amazon SageMaker Data Wrangler to build feature pipelines and infer credit decisions in real time at scale, even during peak sales. Join this session to learn how AWS solutions helped Axio make accurate underwriting decisions, reduce their credit-decisioning latency to less than a second, improve cart-checkout rates, and support shoppers with BNPL purchasing options.

      Deepesh Dhapola, Senior Solutions Architect, AWS India
      Sanket Tilekar, Vice President, Data Science, axio

      Time: 3:00 PM - 3:30 PM

      BigBasket creates AI-enabled checkout using computer vision algorithms from AWS

      BigBasket was facing challenges with its in-house ML (machine learning) algorithms for computer vision use cases, such as object recognition for AI enabled checkout at its Fresho stores. It was costly and time-consuming to train the models frequently to adapt to new products; and the training cycle time was increasing with the number of SKUs (stock keeping units), delaying time to market. BigBasket chose Amazon SageMaker, after being unsuccessful with other training solutions. With SageMaker distributed training and Amazon FSx for Lustre, they were able to reduce model training time by 45% and roll out to production faster. Additionally, the business team can now train models themselves with a single click, as all the data is on AWS. In this session, find out how multiple solutions from AWS helped BigBasket.

      Sudhanshu Hate, AI & ML Principal Specialist, Solutions Architect, AWS India
      Vijayananda Reddy, Sr. Engineering Manager, BigBasket

      Time: 3:30 PM - 4:00 PM

      How Centre for Cellular and Molecular Biology (CCMB) uses AWS to drive AI & ML research in genomics

      The Centre for Cellular and Molecular Biology (CCMB) is a premier scientific research organization dedicated to conducting research of genetic material, how it varies among populations and how this leads to disparities in human health and diseases. CCMB scientists use nanopore sequencing to study DNA methylation, as abnormal DNA methylation patterns have been associated with various diseases. Nanopore sequencing provides the ability to detect DNA modifications. In this session, learn how CCMB built a neural network model on AWS that can distinguish between electrical signals of a canonical base versus a modified base, train modified base models, and run inference. By utilizing GPU instances, they accelerated the model generation process from several days on on-premises CPU machines to 3-4 hours per dataset. This research has the potential to improve early detection of cancer and save lives.

      Mainak Chakraborty, Solutions Architect, AWS India
      Onkar Vasanttrao Kulkarni, Research Scientist, Sowpati Lab, Centre for Cellular and Molecular Biology

      Time: 4:00 PM - 4:30 PM

      Phenom People uses generative AI to build a smart HR ecosystem

      Phenom People, a global HR technology company was facing challenges scaling open-source LLMs for generative AI use cases, while needing to address cost control, security, language moderation, and latency concerns. To overcome these challenges, Phenom People created a custom LLM forked from the Llama-2-7B model and fine-tuned it on 50 billion tokens using Amazon SageMaker p4d instances. They used MosaicML StreamingDataset to stream data in shards from Amazon Simple Storage Service. This custom LLM enables a variety of use cases, including context-based email generation, context-aware FAQs for recruitment queries and response generation, and dynamic profile recommendation. In this session, learn how Phenom People achieved over 95% accuracy in search, over 90% accuracy in personalization, and improved job matching using AI.

      Soujanya Konka, Senior Solutions Architect, AWS India
      Sekhar Jami, Engineering Manager, Phenom

      Time: 4:30 PM - 5:00 PM

    • Track 4: AI and ML solutions
    • Redefining possibilities with generative AI

      Step into a realm of innovation with LUMIQ, where generative AI isn't just a concept, but a revolution in action. The session will talk about how we’re pushing boundaries of existing AI/ML use cases and creating groundbreaking solutions across diverse domains - Marketing, Sales, Finance, HR, Customer Service, R&D, Legal & Compliance, etc. Additionally, we also delve into design thinking which covers development to deployment, all engineered for maximum and immediate ROI from generative AI initiatives. Step into a world where advanced technology meets practical results.

      Vaibhav Dobriyal, Co-founder & Chief Product Officer, Lumiq

      Time: 1:30 PM  - 2:00 PM

      AI, without the angst 

      According to a recent Salesforce research, about 61% of employees use or plan to use generative AI at work, nearly 60% of those who plan to use this technology don’t know how to do so using trusted data sources or while ensuring sensitive data is kept secure. Attend this session to learn about Salesforce’s approach and principles that address the most pressing issue facing enterprises today in adopting generative AI at work.

      Sridhar Hariharasubramanian, Senior Director, Salesforce India

      Time: 2:00 PM - 2:30 PM

      Reimagine your generative AI application with Redis Enterprise and Amazon Bedrock

      Redis Enterprise is not only a caching solution but can also work as a full-blown vector database, thereby providing real-time responses for requests and other features. Amazon Bedrock has a product-level integration with Redis Enterprise Cloud and in this session, we will see how we can build a generative AI app with Amazon Bedrock and Redis Enterprise as a real-time platform.

      Abhishek Srivastava, Senior Partner Solution Architect, Redis

      Time: 2:30 PM - 3:00 PM

      Real-time analytics and multimodal data integration in RAG powered by MongoDB Atlas

      Embark on a journey into AI innovation with our session, delving into the seamless integration of MongoDB Atlas with RAG for machine learning. Uncover the dynamic management of multimodal data storage and real-time accessibility within the RAG framework. Discover the strategic advantages of harnessing the MongoDB Atlas Developer platform, empowering you to construct resilient AI/ML pipelines. Join us as we demystify the intricacies of this powerful collaboration, propelling your capabilities in the realm of artificial intelligence.

      Ashwin Gangadhar, Senior Solution Architect, MongoDB

      Time: 3:00 PM - 3:30 PM

      Generating value from generative AI

      Business transformation and value creation through generative AI. As organizations try to crack the code on generating value with generative AI, hear more insights into how AI investments have driven value to date and what their future potential could be.
      Sanghamitra Pati, Leader, Strategy and Analytics (AI and Data), Consulting, Deloitte US-India Offices.

      Sanghamitra Pati, Leader, Strategy and Analytics (AI and Data), Consulting, Deloitte US-India Offices

      Time: 3:30 PM - 4:00 PM

      Unlock your enterprise data's potential with intelligent search and generative AI

      The rapid growth of data has outpaced traditional search solutions. Information is scattered across systems, making it hard to find and use. Generative AI (GenAI) and large language models (LLMs) are transforming the way enterprises are able to solve traditionally complex challenges related to natural language processing and understanding. Join this session to learn how you can create state-of-the-art generative AI applications providing conversational experiences, by using Amazon Kendra with LLMs to ensure responses to users’ requests are based on your enterprise content.

      Prem Ranga, Principal AI Specialist Solutions Architect, AWS

      Time: 4:00 PM - 4:30 PM

      Accelerating generative AI/ML adoption with AWS Storage

      Learn how you can accelerate your generative AI/ML journey by building a modern data architecture with Amazon S3. We’ll cover tips and best practices for implementing this architecture including incorporating 2023 re:Invent releases and show how you can quickly and cost effectively utilize your data to drive custom generative AI/ML outcomes.

      John Mallory, Principal WW Storage GTM Specialist, AWS

      Time: 4:30 PM - 5:00 PM

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Session levels designed for you

Level 100: Introductory

Sessions are focused on providing an overview of AWS services and features, with the
assumption that attendees are new to the topic.

Level 200: Intermediate

Sessions are focused on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics.

Level 300: Advanced

Sessions dive deeper into the selected topic. Presenters assume that the audience has
some familiarity with the topic, but may or may not have direct experience .

Level 400: Expert

Sessions are for attendees who are deeply familiar with the topic, have implemented a
solution on their own already, and are comfortable with how the technology works.

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