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AWS Pi Day 2023

Amazon S3 launched 17 years ago on Pi Day, March 14, 2006, and became the first generally available AWS service. Over the last 17 years, data has grown exponentially. Data is rapidly becoming a strategic asset for every organization that is coming from newer sources, is increasingly diverse, and is needed by many users within an organization.


With AWS you can store, access, analyze, and act on all data for all workloads and data types to achieve your desired business outcomes. From data lakes, analytics, streaming, and machine learning models and AI, AWS delivers purpose-built services with the best price-performance, scalability, and lowest cost.


Attend the 3rd annual AWS Pi Day live, virtual event hosted on the AWS On Air channel on Twitch as we celebrate the 17th birthday of Amazon S3. We 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.


The event is ideal for anyone who is eager to learn more about:

  • The latest innovations across AWS Data services from storage to analytics and AI/ML
  • How to make data more connected, accessible, secure, and available to help you respond to rapid growth
  • How to optimize data costs to automate cost savings, eliminate operational complexities, and gain new insights 

Virtual Event Agenda

Virtual Event Agenda

  • Keynote – Unlock new opportunities with data in AWS with Kevin Miller, VP, S3
    1:00pm – 1:30pm PT | 4:00pm – 4:30pm ET
    Learn how AWS can help you transform your company’s data into meaningful insights and unlock new opportunities for your business. Join Kevin Miller, VP and GM of Amazon S3, as he explores best practices for building your data lake on AWS, including ingesting data, securing and governing data access, and optimizing performance and costs.
  • From best practices to defaults: Simplifications in Amazon S3 Security
    1:30pm – 2:00pm PT | 4:30pm – 5:00pm ET
    At AWS, security is our top priority. In this session, learn best practices for data security in Amazon S3 as we discuss the fundamentals of S3 security and dive into two new security defaults based on longstanding best practices that make security and access control on S3 simpler. Join us as we outline these two new changes and the latest on S3 encryption.
  • Transform your business with AI
    2:00pm – 2:15pm PT | 5:00pm – 5:15pm ET
    Join us to learn how customers are using AI to solve common use cases such as contact center intelligence, conversational AI, document analysis, search, personalization, and more. We will cover AWS AI innovation and top trends across ML infrastructure, developers tools in Amazon SageMaker, and AI services.
  • Accessing data lakes in Amazon S3 using open source projects
    2:15pm – 2:35pm PT | 5:15pm – 5:35pm ET
    Since its inception, AWS has been the best place for customers to build and run open source software in the cloud. In this session, you will learn how open source projects we contribute to make it easy for you to store data at-scale and maximize its value with analytics and machine learning workloads in Amazon S3 data lakes.
  • 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
    The growing complexity of deep learning models is posing challenges to achieving real-time performance while keeping power consumption and deployment cost under control. Attend this session to hear about how Inf2 instances deliver high performance, energy efficiency, and the lowest cost-per-inference for your most demanding, 100B+ parameter deep learning models in the cloud.
  • 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
    Transforming data into actionable business insights is critical for organizations seeking to create competitive differentiation. Employing external datasets can help provide better decision models, but finding and managing third-party data can be challenging. Learn how AWS Data Exchange for Amazon S3 helps you easily find, subscribe to, and use third-party data files for faster time to insight, storage cost optimization, simplified data licensing management, and more. We’ll also dive into how you can easily access these third-party files for data analysis with AWS services without needing to create or manage data copies.
  • Speeding up data predictions with real-time inference at scale
    3:10pm – 3:25pm PT | 6:10pm – 6:25pm ET
    In the race to digitally transform, companies face the challenge of garnering value from the sheer volume of generated data. It is crucial to analyze, learn, and make predictions from your data in a timely manner as the value of data diminishes over time. In this session, we will dive into event-driven architecture for IoT use cases, showcase how you can use machine learning inference with streaming data to detect patterns and anomalies, and realize a faster path to decisions from your data.
  • Create high throughput, real-time data pipelines with Amazon ElastiCache for Redis
    3:25pm – 3:40pm PT | 6:25pm – 6:40pm ET
    Amazon ElastiCache is a fully managed, Redis- and Memcached-compatible service delivering real-time, cost-optimized performance for modern applications. ElastiCache speeds up database and application performance and scales to millions of operations per second with microsecond response time. In this session, we will present ElastiCache’s newest features, and demonstrate the application of purpose-built data structures for real-time analytics.
  • Maximizing visibility into storage costs with Amazon S3 Storage Lens
    3:40pm – 3:55pm PT | 6:40pm – 6:55pm ET
    Learn best practices for observing, analyzing, and optimizing your cloud storage costs with Amazon S3 Storage Lens. We'll dive into common questions related to cost optimization, highlight how S3 Storage Lens can help answer those questions, and talk through a customer example featuring Upstox, a leading Indian discount broker, and how they saved $1 million annually by using extensive insights provided by S3 Storage Lens.
  • Get insights faster - Accelerate your S3 data lake with Amazon FSx for Lustre
    3:55pm – 4:10pm PT | 6:55pm – 7:10pm ET
    Process large S3 workloads with sub millisecond latency using Amazon FSx for Lustre, the world’s fastest file system. In this demo, you will learn how to create a FSx Lustre File System, link it to your S3 bucket, spin up an EC2 compute cluster, mount the FSx for Lustre file system to the EC2 cluster, and learn how Lustre presents S3 objects as files to EC2 instances. You will learn how FSx for Lustre provides fast throughput and high IOPS that scale out with large file systems.
  • 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
    Organizations use data archives to cost-effectively manage data growth, preserve priceless assets, and use business analytics and machine learning to build new customer experiences. We frequently see customers using their own archives as a treasure trove of data for analytics, machine learning, and business intelligence. Learn how customers are using Amazon S3 Glacier storage classes to modernize their data archive and get the most out of their critical assets. With the Amazon S3 Glacier storage classes, you get the best of both worlds — low cost archive storage along with retrieval times ranging from milliseconds to hours depending on the S3 Glacier storage class that you choose.
  • AWS Innovate keynote replay – Data: The genesis for invention
    4:30pm – 5:00pm PT | 7:30pm – 8:00pm ET
    Join Swami Sivasubramanian, Vice President, Data and Machine Learning, AWS, as he showcases the latest AWS innovations that can help transform your company’s data into meaningful insights and actions for your business. In this keynote, he’ll discuss the key components of a future-proof data strategy and how to empower your organization to drive new inventions and customer experiences with data.

As if Pi Day couldn’t get any more AWSome, you can get even more out of the day by attending AWS Innovate for the first half of the day to dive deep on data, artificial intelligence, and machine learning. 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.

Watch on demand »

  • Keynote
  • Infrastructure Protection
  • Threat Detection & Incident Response
  • Identity
  • Data Protection
  • GRC
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • Track10 Session 1

Keynote

Infrastructure Protection

Threat Detection & Incident Response

Identity

Data Protection

GRC

Track7 Session 1

Track8 Session 1

Track9 Session 1

Track10 Session 1

Multiple City Registration

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Venue

The Meteropolitian
233 south wacker drive, 67th floor, Chicago, Illinois 60606

What to Expect

Executive Keynote

AWS Experts

Live Demos

Why attend?

Whether you're new to the cloud or an experienced user, learn from AWS experts and AWS leaders about security best practices and security service deep dives. Get insight into the future of cloud security and have your questions answered by experts.

Who should attend?

Technologists and security practitioners, with varying levels of expertise, who are interested in learning about AWS Security services and live demos. However, all individuals, from technical to business decision-makers, are welcome to attend and will benefit from the content.

Session Proficiency Levels Explained

  • Level 100

    Introductory

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

  • Level 200

    Intermediate

    Sessions will focus 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 will 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

  • 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 across multiple services, architectures, and implementations

About the Event

Who Should Attend

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Featured Speakers

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

Customer Highlights

Epic Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Epics Games

Yelp Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Yelp

Airbnb Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Airbnb

Lyft Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Lyft

FAQS

Q: Where is this event?

A: This event is an online event, hosted by AWS on the INXPO platform.

Q: Who should attend this event?

A: Developers building data-driven apps; DBAs and data engineers who are building analytics infrastructure and data pipelines; Analysts and data scientists who are deriving insights that answer complex business quesions and building/trainining machine learning models.

Q: How much does this event cost?

A: There is no cost to attend this event.

Q: What are the prerequisites before attending the event?

A: There are no prerequisites for attending the event. We encourage attendees to browse the Database and Analytics pages on the AWS website to get a brief overview of the services available to them.