Innovate faster with the most comprehensive set of AI/ML services
Join us for a date with artificial intelligence, machine learning, and data. You’ll learn about the most cutting-edge machine learning tools, walk away with strategies to build future-proof applications, and bring more organization to your data-driven organization.
Hear from the ones who've been there and done that.
Vice President, Data and Machine Learning, AWS
Data: The genesis for invention (Keynote)
Building, training, and deploying a movie recommendation engine (Track 2)
Vice President & General Manager, Amazon S3
Pi Day Keynote starting at 1:00pm PST
Principal AI/ML Specialist SA, AWS
Train ML models at scale with Amazon SageMaker (Track 3)
Imtiaz (Taz) Sayed
Tech Leader, Analytics, AWS
Democratizing your organization’s data analytics experience (Track 4)
Principal AI/ML Specialist, AWS
Accelerate business growth with personalized user experiences (Track 2)
Principal AI/ML Specialist, AWS
Productionize ML workloads using Amazon SageMaker MLOps (Track 3)
Principal GTM Storage Specialist, AWS
Disaster recovery design patterns for data resilience (Track 7)
Principal Database Specialist SA, AWS
Build scalable applications with purpose-built databases (Track 5)
Explore seven session tracks, designed for you:
From technical sessions for builders and practitioners to non-technical sessions for business leaders, you'll walk away from this event with new inspiration and skills to grow your career and business.
Track 1: Build a data driven organization
In this track, you will learn about the people, process, and technology factors for building a data driven organization. We will also explore customer examples and best practices for creating a data-driven culture.
Becoming a data-driven organization (Level 100)
Developing a data-driven culture requires a mindset shift. Learn from AWS customer examples and Amazon itself about how to address these challenges and transform your data into a strategic asset.
Building a smarter organization: Powered by machine learning (Level 200)
In this session, tailored to business leaders, AWS Enterprise Strategists share how organizations can embrace AI/ML, along with stories on how some customers use these solutions to achieve profound results.
How AWS Trainium and AWS Inferentia help train and deploy 100B+ parameter models at scale (Level 200)
Machine learning models such as large language models (LLMs) and diffusion models are sparking innovation and are ideal for use cases such as question answering, image generation, code generation, and more. The ever-increasing size and complexity of these models, poses challenges to achieve performance at scale, while keeping costs and power-consumption under control. Learn how AWS Trainium and AWS Inferentia can help you with faster, lower cost, and energy efficient training and deployment of your 100B+ parameter model.
Use cases for maximizing business value from data (Level 200)
Many organizations are sitting on a treasure trove of data but don’t know how to get value out of it. In this session, you will learn how AWS enables leading use cases of putting data to work.
Solve common business problems with AWS AI/ML services (Level 200)
In this session, learn how companies across industries are using artificial intelligence (AI) to address use cases that create measurable results.
Data as a strategic asset for building a better business with GE Digital (Level 100)
In this leadership fireside chat, Steve Pavlosky, VP of Product Management for GE Digital, discusses ways to maximize the value of data by aligning strategic, technical, and business objectives.
Carrier’s data-led path to sustainable buildings and cold chain solutions (Level 100)
Carrier’s Chief Digital Officer, Bobby George, and AWS Enterprise Strategist, John Clark, talk about earning buy-in for data transformation, evolving a data-centric culture, and how data strategy relates to sustainability.
Track 2: The transformative value of AI
In this track, learn how to use AWS AI Services to easily add AI capabilities to your applications to solve common AI use cases, such as personalization, intelligent search, and predictive maintenance. No ML experience required.
Accelerate business growth with personalized user experiences (Level 200)
In this session, learn how the simple integration of Amazon Personalize into your existing websites and marketing systems can create high-value personalization at every touchpoint.
Deliver high accuracy and efficiency with intelligent document processing (Level 200)
Many organizations have a fragile or inadequate document processing pipeline. In this session, learn how to take advantage of AWS’s latest innovations in AI and ML to process documents efficiently.
Transform your existing contact center with Conversational AI and Call Analytics (Level 300)
In this session, you will learn about AWS Contact Center Intelligence (CCI) and Conversational AI solutions and how to integrate them into your preferred contact center solution.
Natural language powered chatbots with Amazon Kendra & Amazon Lex (Level 200)
In this session, we will share how AI services like Amazon Kendra and Amazon Lex can help you build conversational interfaces into any application quickly, with no machine learning expertise required.
Unlock AI/ML-powered customer experience improvements with Amazon Connect (Level 200)
In this session, hear how Amazon Connect unlocks AI/ML-powered innovation that offers personalized digital experiences, improved agent productivity, and captures business insights to optimize operational efficiency.
Enable predictive maintenance for industrial equipment with machine learning (Level 200)
Join this session on predictive maintenance to learn how to prevent downtime in industrial machinery by automatically detecting abnormal behavior and proactively acting on potential failures.
Building, training, and deploying a movie recommendation engine (Level 200)
In this session, learn how startup Vale partnered with ClearScale to use modern AI/ML technology to create a new platform for watching movies and TV shows through its Streaming Guide application.
Track 3: Empower builders with machine learning tools
In this track, learn how builders can prepare data and build, train, and deploy ML models for any use case and enable no-code, low-code ML predictions with Amazon SageMaker to democratize access to ML.
Accelerate your ML journey with Amazon SageMaker low-code tools (Level 200)
The ML journey requires experimentation. In this session, learn how tools like Amazon SageMaker allow you to experiment faster so you can focus more on refining predictions and less on low-level code.
Productionize ML workloads using Amazon SageMaker MLOps (Level 200)
In this session, explore Amazon SageMaker machine learning operations (MLOps) features and learn how to increase automation and improve the quality of your ML workflows.
Boost ML development productivity with managed SageMaker notebooks in the cloud (Level 300)
Join this session to learn how to increase productivity with SageMaker Studio notebook capabilities, from simplified data preparation to automatic conversion of notebook code to production-ready jobs.
Train ML models at scale with Amazon SageMaker (Level 200)
In this session, learn how Amazon SageMaker reduces the time and cost to train and tune large-scale machine learning models without the need to manage infrastructure.
Deploy ML models for inference at high performance and low cost (Level 200)
High-performance, cost-effective model deployment is critical to ML return on investment. In this session, learn how to use Amazon SageMaker’s inference abilities to quickly deploy ML models at scale.
Practical decision-making using no-code ML (Level 200)
Organizations everywhere are using ML to accurately predict outcomes. In this session, you will learn how to use Amazon SageMaker Canvas for cases across sales, marketing, finance, and operations.
Transform genomic and biological data into insights (Level 200)
In this session, hear how Amazon Omics supports large-scale health and life science analysis and collaborative research with purpose-built data stores, scalable workflows, and multimodal analytics.
Track 4: Deploy scalable, cost-effective analytics workloads
In this track, learn how to build modern data architectures and re-invent your businesses with data using AWS analytics services. From data movement, data big data analytics, operational analytics, real-time analytics, and anything in between, AWS offers purpose built analytics services that provide the best price performance and scalability.
Democratizing your organization’s data analytics experience (Level 200)
In this session, learn how AWS can democratize analytics with ease of use and better price performance, making it easier for analysts and data scientists of all skill levels to use ML.
Data warehousing reinvented for today's needs (Level 300)
Learn about how Amazon Redshift, a pioneer in cloud data warehousing, is expanding how cloud data warehousing can deliver insights and grow the business for customers in various industries.
Simplify and accelerate data integration & ETL modernization with AWS Glue (Level 300)
In this session, learn about the latest innovations in AWS Glue, a serverless, scalable data integration service that helps you discover, prepare, move, and integrate data from multiple sources.
Build modern data streaming analytics architectures on AWS (Level 300)
This session helps cloud architects, data scientists, and developers design and build modern data streaming architectures that can quickly generate insights by leveraging AWS streaming services.
End-to-end log analytics with Amazon OpenSearch Serverless and Amazon Kinesis Data Firehose (Level 200)
Learn how to use Amazon OpenSearch Service and Kinesis Data Firehose to set up a serverless solution to manage your log analytics infrastructure so you can focus on what matters most to your business.
Reinvent how you derive value from your data with Amazon QuickSight (Level 300)
Learn how you can use cloud-native business analytics to provide your users with ML-powered interactive dashboards, natural language query, and embedded analytics to provide insights to users at scale.
Migrating self-managed open-source to fully managed AWS services to reduce costs and simplify operations (Level 300)
Do you self-manage open-source Spark, Presto, Elasticsearch, or SOLR solutions? Using AWS tools and best practices to migrate to fully managed and serverless options will save you time and money.
Track 5: Build future-proof applications
In this track, learn how developers, DevOps, and DBAs across industries are using AWS Databases Services to lower costs, innovate faster, and increase productivity with automated advanced operational techniques.
Deploy modern and effective data models with Amazon DynamoDB (Level 200)
Alex DeBrie, an AWS Hero, will walk you through the key steps and principles that will guide you as you model your data in the DynamoDB database.
Deep dive into Amazon Aurora and its innovations (Level 300)
Dive deep into the exciting features Amazon Aurora offers, including Aurora Serverless v2 and Global Database. Also, learn about recent innovations that enhance performance, scalability, and security.
Amazon RDS blue/green deployments, Optimized Writes, and Optimized Reads (Level 200)
In this session, learn about the newest capabilities available on RDS for MySQL: Amazon RDS blue/green deployments, Optimized Writes, and Optimized Reads.
Achieve real-time, cost-optimized performance with Amazon ElastiCache (Level 300)
Learn about innovation that delivers 100% performance improvement for Amazon ElastiCache, a fully managed caching service that delivers real-time performance for modern, internet-scale applications.
Build scalable applications with purpose-built databases (Level 200)
In this session, learn how you can use open-source relational databases and new technologies, such as key-value, document, and graph, to modernize your applications and enhance their performance.
Elastic scaling with Amazon DocumentDB (Level 200)
In this session, learn about the latest Amazon DocumentDB innovations, features, and updates that will push past the scalability limits seen in traditional databases.
New innovations in the AWS operational database portfolio (Level 200)
This session recaps all noteworthy AWS operational database launches in 2022. These innovations cover three themes: interoperability, performance and scale, and advanced operational techniques.
Track 6: Break down data silos
In this track, you will learn how AWS helps you break down data silos with data lakes, data warehouses, and integrations between AWS data and machine learning services. We will also cover how AWS helps you connect to all your data — no matter where it lives.
Zero ETL: Connect to all your data (Level 200)
Come learn how AWS is investing in a zero extract, transform, and load (ETL) future so you can quickly and easily connect to and act on all your data.
Democratizing data for self-service analytics and machine learning (Level 300)
In this session, learn how your organization can overcome the challenge of making data available to more people and how AWS makes analytics and machine learning easy for everyone.
Drive new business insights from your data lake for your core applications (Level 300)
Watch a demo on how to transfer data from SAP to a serverless S3 data lake using AppFlow, catalog using AWS Glue, execute queries using AWS Athena, and visualize it on QuickSight.
Best practices for optimizing data lake performance on Amazon S3 (Level 300)
Learn best practices for optimizing data lake performance on Amazon S3 using storage optimization tools and processes. Then, use your data lake with industry-leading AWS tools to gain data insights.
Migrate your on-premises data lake to AWS to gain insights (Level 300)
On-premises data lakes can be complex to migrate. Learn how AWS migration services can help accelerate the transition to a data lake built on AWS quickly and securely.
Integrate third-party data into a modern data architecture (Level 200)
In this session, you will learn how customers use AWS Data Exchange to streamline their third-party data procurement, ingestion, and management as they implement a modern data architecture.
Understanding data mesh architectures on AWS (Level 200)
Learn how to design, build, and operationalize a data mesh architecture on AWS—one that will help navigate data challenges, optimize analytics processes, and deliver insights faster.
Track 7: Secure and govern all your data
Learn how to implement a data and machine learning governance strategy with AWS. We will also explore how you can address large-scale data access challenges.
End-to-end data and machine learning governance on AWS (Level 200)
Learn how to implement a data and machine learning governance strategy with AWS. We will also explore Amazon DataZone and new ML governance tools for Amazon SageMaker.
Disaster recovery design patterns for data resilience (Level 200)
AWS resources can deliver data resiliency to critical systems with options from high recovery point and time objectives to full disaster recovery to address inadvertent changes or other data events.
Build resilient data architectures with AWS (Level 200)
This session will explain how AWS storage services are designed with built-in resilience, sharing best practices for configuring our storage services for your resilience and high-availability needs.
Transform responsible AI from theory into practice (Level 200)
In this session, learn how AWS is committed to providing the tools, resources, and purpose-built services that customers need to put responsible AI into practice.
Solving large-scale data access challenges (Level 300)
Managing data access is essential. In this session, learn successful patterns for implementing access controls at varying levels of granularity and scale to maintain tight control over data.
Meeting digital sovereignty requirements on AWS (Level 200)
We will describe how digital sovereignty and data protection requirements are evolving, and describe how these requirements can be met by the technical, legal, and operational controls AWS provides.
Democratize data with governance: Bring together people, data, and tools (Level 200)
In this session, learn how organizations can apply AWS analytics services to discover, access, and share their data across organizational boundaries so it can be accessed for analytics.
Additional/Bonus AWS Pi Day content featuring launches, demos, and technical sessions to learn more about how AWS delivers the most comprehensive set of services and solutions for your entire data journey.
Keynote – Unlock new opportunities with data in AWS with Kevin Miller, VP, S3
1:00pm – 1:30pm PT | 4:00pm – 4:30pm ET
From best practices to defaults: Simplifications in Amazon S3 Security
1:30pm – 2:00pm PT | 4:30pm – 5:00pm ET
Transform your business with AI
2:00pm – 2:15pm PT | 5:00pm – 5:15pm ET
Accessing data lakes in Amazon S3 using open-source projects
2:15pm – 2:35pm PT | 5:15pm – 5:35pm ET
Learn how you can increase performance and lower costs when deploying your 100B+ parameter models
2:35pm – 2:50pm PT | 5:35pm – 5:50pm ET
Accelerate time to insight with direct access to data providers' Amazon S3 data with AWS Data Exchange
2:50pm – 3:10pm PT | 5:50pm – 6:10pm ET
Speeding up data predictions with real-time inference at scale
3:10pm – 3:25pm PT | 6:10pm – 6:25pm ET
Create high throughput, real-time data pipelines with Amazon ElastiCache for Redis
3:25pm – 3:40pm PT | 6:25pm – 6:40pm ET
Maximizing visibility into storage costs with Amazon S3 Storage Lens
3:40pm – 3:55pm PT | 6:40pm – 6:55pm ET
Get insights faster - Accelerate your S3 data lake with Amazon FSx for Lustre
3:55pm – 4:10pm PT | 6:55pm – 7:10pm ET
Put your cold data to work for training AI/ML workloads with Amazon S3 Glacier
4:10pm – 4:30pm PT | 7:10pm – 7:30pm ET
AWS Innovate keynote replay – Data: The genesis for invention
4:30pm – 5:00pm PT | 7:30pm – 8:00pm ET
Dive deep into any of the 40+ business and technical sessions. Don’t forget to prepare your questions and get them answered live by our AWS experts.
Frequently asked questions
Where is AWS Innovate hosted?AWS Innovate is an online conference. After completing the online registration, you will receive a confirmation email containing the instructions that you will need to access the platform.
How do I access the online event?You will create a username and password to complete your registration and access the event on live day. If you have any questions, contact us at email@example.com.
What is the price of attending AWS Innovate?AWS Innovate is a free online conference.
Who should attend AWS Innovate?Whether you are new to AWS or an experienced user, you can learn something new at AWS Innovate. AWS Innovate is designed to help you develop the right skills to create new insights, enable new efficiencies, and make more accurate decisions.
Can I get a confirmation of my AWS Innovate registration?After completing the online registration process, you will receive a confirmation email.
How can I contact the online conference organizers?If you have questions that have not been answered in the FAQs above, please email us at firstname.lastname@example.org.
Will the video sessions be available after the live stream?Yes, all sessions will be on demand following the event.
What is AWS Pi Day?AWS Pi Day is a live, virtual event celebrating the 17th birthday of Amazon S3 and the cloud. Subject matter experts will dive into how you can unlock the value of your data with the most trusted, reliable, scalable, and secure cloud that delivers the most comprehensive set of services and solutions for your entire data journey. Stick around after Innovate sessions for data-filled dessert, starting at 1:00pm PST. No additional registration is needed. Pi Day content will start with a keynote from Kevin Miller, VP and GM of Amazon S3, immediately following the last session of Innovate.
Session levels designed for you
Sessions are focused on providing an overview of AWS services and features, with the assumption that attendees are new to the topic.
Sessions are focused on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics.
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 implementing a similar solution.
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 across multiple services, architectures, and implementations.