AWS re:Invent is a learning conference hosted by AWS for the global cloud computing community. This year’s re:Invent will be held in Las Vegas, NV from November 29th to December 3rd. Amazon QuickSight, a scalable, embeddable, ML-powered business intelligence (BI) service for the cloud will be represented at re:Invent within the Business Intelligence track through keynotes, breakout sessions, chalk talks, workshops, and other planned activities.

This post walks you through the details of all QuickSight related sessions and activities to help you plan your conference week accordingly. These sessions should appeal to anyone wanting to learn more about modernizing their BI capabilities and curating a more data driven culture including business decision makers, BI analysts, data scientists, app developers, and others! To access the session catalog and reserve your seat for one of our Business Intelligence sessions, you must be registered for re:Invent. Register now!


Swami Sivasubramanian – Vice President, Amazon Machine Learning – Keynote

Join Swami Sivasubramanian, Vice President, Amazon Machine Learning, on an exploration of what it takes to put data in action with an end to end data strategy including the latest news on databases, analytics, and machine learning.

Rahul Pathak – Vice President, Analytics – Leadership Session: Reinvent your business for the future with AWS Analytics 

The next wave of digital transformation will be data-driven, and organizations will have to reinvent themselves using data to make decisions quickly and gain faster and deeper insights to serve their customers. In this session, Rahul Pathak, VP of AWS Analytics, addresses the current state of analytics on AWS, focusing on the latest service innovations. Learn how you can put your data to work with the best of both data lakes and purpose-built data stores. Also, discover how AWS can help you build new experiences and reimagine old processes with a modern data architecture on AWS.

Breakout sessions 

BSI201 (LVL 200) – Self-service analytics for everyone with ML-powered Amazon QuickSight Q

In our increasingly fast-paced world, it is critical for companies to make data-driven business decisions quickly. In order to move fast, teams need the ability to answer business questions without relying on the time-consuming efforts of business intelligence (BI) teams. Amazon QuickSight Q is a machine learning-powered capability that uses natural language processing to answer business questions instantly in the form of a visual, without requiring authors to create visuals, dashboards, or analyses. In this session, the Amazon QuickSight team provides an overview of Q and guidance on how to get started with this new capability.

BSI202 (LVL 200) – Modernize your BI and reporting with Amazon QuickSight 

Organizations increasingly strive to improve data literacy for all their employees and reduce dependence on IT and data scientists while gaining efficiency by moving to the cloud. Existing business intelligence tools can limit business users’ insight into their data. They can also limit IT departments’ ability to provide self-service analytics in a secure, scalable, and cost-efficient way. Join this session to learn how customers have modernized their advanced analytics, self-service, and reporting needs by migrating to Amazon QuickSight. With QuickSight, you only pay for what you use and are not required to manage any infrastructure.

BSI203 (LVL 200) – Enhance your apps with Amazon QuickSight embedded analytics 

Empower your users by embedding business analytics capabilities directly into your application. Amazon QuickSight embedded analytics seamlessly integrate into your application and enable your users to perform advanced analytics with capabilities such as one-time, or ad hoc, analyses and machine learning-based insights, providing you with new ways of monetizing and differentiating your applications. Join this session to learn about QuickSight’s new capabilities for embedding rich data visualizations within SaaS applications that provide governance and data security. The session also shows how QuickSight can be easily connected to your choice of data services including Amazon RDS, Amazon Athena, Amazon S3, or Amazon Redshift.

Chalk talks 

BSI204 (LVL 200) – Authoring configuration for Amazon QuickSight Q

Amazon QuickSight Q is a machine learning-powered capability that uses natural language processing to instantly answer business questions about data. Q interprets questions to understand their intent and generates an answer instantly in the form of a visual, without requiring authors to create visuals, dashboards, or analyses. In this chalk talk, the Amazon QuickSight Q team provides an overview of Q and the different question types that are currently supported. Following the product demo, learn how to set up datasets to answer natural language questions from users.

BSI301 (LVL 300) – Advanced deployment options at scale with Amazon QuickSight

Amazon QuickSight is a scalable, serverless, embeddable, ML-powered BI service built for the cloud that you can use to deliver easy-to-understand insights to the people that you work with – wherever they are. In this chalk talk, learn about deployment methodologies and best practices around multi-tenancy, cross-account data connectivity, single sign-on, content migration, and automation, to give you confidence deploying into even the most sophisticated environments.


BSI302 (LVL 300) – Build stunning dashboards with Amazon QuickSight 

Want to grow your dashboard-building skills from beginner to advanced? In this workshop, the Amazon QuickSight team guides you through the latest authoring functionality, such as high-fidelity layouts, custom content, and advanced formatting. These features are designed to empower you to build beautiful layouts and robust interactive experiences with other applications, right from within your dashboard.

Additional activities

Demo: “Get answers on your data in seconds with Amazon QuickSight”

Join us in the demo theater on Tuesday November 30 at 3:00PM PST for an Amazon QuickSight Q deep dive demo.

Business Intelligence kiosk in the AWS Village

Visit the Business Intelligence kiosk within the AWS Village to meet with experts to dive deeper into QuickSight capabilities such as ML-powered Q and Embedded Analytics. You will be able to ask our experts questions and experience live demos for our newly launched capabilities.

Grab your QuickSight swag

Make sure to stop by the swag distribution table to grab free QuickSight swag. You must attend one of the breakout sessions, chalk talks, workshops, or visit our kiosk to obtain a swag voucher.

Other QuickSight related sessions 

LFS304 – Accelerate science by unifying data silos across the enterprise

When shifting to data-driven decision-making, customers—especially those in the life sciences—often struggle with the need to access data and free it from organizational silos or find it in other enterprises. In this workshop, learn how to build an effective data mesh platform on AWS to make data discoverable, secure, and interoperable. Free your data from silos and minimize unnecessary data movement. Utilizing AWS Glue, Amazon Athena, AWS Lake Formation, Amazon S3, Amazon QuickSight, and Amazon Neptune, bring together disparate data sources from across the enterprise. Use what you learn to build a scalable data mesh to serve as the foundation for any analytics and data science effort.

DEM066 – S –  Assess, plan & automate the transition from legacy BI to Amazon QuickSight (sponsored by Ironside)

Ironside’s Ascent suite, powered by AWS, enables a rapid, efficient, and successful way to build new analytics, explore AI, and migrate from legacy platforms to the cloud. Join this session to learn how to use Ironside’s AscentIQ offering for Amazon QuickSight to inventory, rationalize, and plan the migration of your existing reporting implementation; build the business case for your migration; refactor and automate generation of legacy report specifications; and accelerate functional validation of legacy content. This presentation is brought to you by Ironside, an AWS Partner.

COP311 –  Build your own customizable cost reporting dashboards

Get actionable insights to track your AWS cost and usage performance, drive cost-efficient consumption behavior in your organization, and make cost-aware architectural decisions. Join this workshop to learn how you can integrate AWS Cost and Usage Reports with Amazon QuickSight and build your own dashboards to visualize specific KPIs and savings opportunities that are meaningful to you and your business.

GPS306 – Data warehouse and business intelligence modernization

Amazon Redshift is a fast, fully managed, petabyte-scale, cloud-native analytics data warehouse. A large number of organizations are migrating their current data warehousing systems into Amazon Redshift to take advantage of better performance and scale, lower costs, the ease of use of a managed service, and data lake integration. Amazon QuickSight is a scalable, serverless, cloud-powered business intelligence (BI) service that makes it easy for you to publish insights through interactive BI dashboards. Join this workshop to learn and practice how to modernize and migrate legacy data warehouse systems to Amazon Redshift and how to migrate your BI dashboards to Amazon QuickSight.

ENT306 –  Outcome-oriented analytics for SAP on AWS

In this workshop, learn how to solve common business problems using native AWS services in conjunction with SAP applications. First in the workshop, build a data extraction layer from SAP. Then, prepare the data with AWS Glue DataBrew and use Amazon QuickSight to visualize, forecast, and use NLP for business process reporting.

AIM208 – S – Port of Vancouver: Improving supply chain visibility (sponsored by Deloitte)

As Canada’s largest port and the third-largest port in North America, the Port of Vancouver needed to overhaul its container examination process because it was a major source of challenges across the network. Join this session to learn how the Port of Vancouver used a blockchain application integrated with AWS Panorama to help identify and track containers, feed real-time data into the blockchain system, enable proper assignment of cost, and identify efficiency improvement opportunities. Discover how other AWS services, such as Amazon SageMaker, Amazon QuickSight, AWS IoT Core, and more, were also used to deliver the data and insights, while meeting privacy, security, and data residency requirements. This presentation is brought to you by Deloitte, an AWS Partner.

FSI203 –  State Farm: Enabling rapid deployment with risk automation

In this session, learn how State Farm streamlined deployment approval from months to minutes by implementing an automated, data-driven risk management process for all use cases leveraging AWS services. Approving deployments for production in financial services can often be a manual, opinion-based, and time-consuming process that frustrates developers, security teams, and executive leadership alike. State Farm’s solution not only notifies account administrators of potential compliance issues but also supports auto-remediation of these issues. It provides continuous, real-time testing and monitoring of controls, which accelerates service adoption for developers, delivers assurance to InfoSec professionals, and enables agile executive decision-making.

AIM317 –  Uncover insights from customer conversations with no ML expertise required

Understanding what your customers are saying is critical to your business, but navigating the technology needed to make sense of these conversations can be daunting. In this workshop, discover how to uncover valuable insights from your data using custom models that are tailored to your business needs—with no ML expertise required. Using a set of customer calls, learn how to boost transcription accuracy with Amazon Transcribe custom language models, extract insights with Amazon Comprehend custom entities, localize content with Amazon Translate Active Custom Translation, and create powerful visualizations with Amazon QuickSight.

Useful resources 

Whether you plan on attending re:Invent in person or virtually this year you can always learn more about QuickSight through these helpful resources:

QuickSight YouTube Channel
Subscribe to stay up to date on the latest QuickSight workshops, getting started tutorials, and demo videos.

QuickSight DemoCentral

Experience QuickSight first hand through interactive dashboards and demos.

QuickSight workshops

 Enhance your BI skills with self-paces QuickSight workshops.

About the Author

IMG 1777Mia Heard is a product marketing manager for Amazon QuickSight, AWS’ cloud-native, fully managed BI service.

Categories: Big Data