AWS re:Invent is a learning conference hosted by AWS for the global cloud computing community. Re:Invent was held at the end of 2022 in Las Vegas, Nevada, from November 28 to December 2.
Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. This post walks you through a full recap of QuickSight at this year’s re:Invent, including key launch announcements, sessions available virtually, and additional resources for continued learning.
AWS Announces Five New Capabilities for Amazon QuickSight
This press release covers five new QuickSight capabilities to help you streamline business intelligence operations, using the most popular serverless BI service built for the cloud.
New analytical questions available in Amazon QuickSight Q: “Why” and “Forecast”
QuickSight announces support for two new question types that simplify and scale complex analytical tasks using natural language: “forecast” and “why.”
Announcing Automated Data Preparation for Amazon QuickSight Q
Automated data preparation utilizes machine learning (ML) to infer semantic information about data and adds it to datasets as metadata about the columns (fields), making it faster for you to prepare data in order to support natural language questions.
New Amazon QuickSight API Capabilities to Accelerate Your BI Transformation
New QuickSight API capabilities allow programmatic creation and management of dashboards, analysis, and templates.
Create and Share Operational Reports at Scale with Amazon QuickSight Paginated Reports
This feature allows you to create and share highly formatted, personalized reports containing business-critical data to hundreds of thousands of end-users—without any infrastructure setup or maintenance, up-front licensing, or long-term commitments.
Adam Selipsky, Chief Executive Officer of Amazon Web Services
Watch Adam Selipsky, Chief Executive Officer of Amazon Web Services, as he looks at the ways that forward-thinking builders are transforming industries and even our future, powered by AWS. He highlights innovations in data, infrastructure, and more that are helping customers achieve their goals faster, take advantage of untapped potential, and create a better future with AWS.
Swami Sivasubramanian, Vice President of AWS Data and Machine Learning
Watch Swami Sivasubramanian, Vice President of AWS Data and Machine Learning, as he reveals the latest AWS innovations that can help you transform your company’s data into meaningful insights and actions for your business. In this keynote, several speakers discuss the key components of a future-proof data strategy and how to empower your organization to drive the next wave of modern invention with data. Hear from leading AWS customers who are using data to bring new experiences to life for their customers.
Unlock the value of your data with AWS analytics
Data fuels digital transformation and drives effective business decisions. To survive in an ever-changing world, organizations are turning to data to derive insights, create new experiences, and reinvent themselves so they can remain relevant today and in the future. AWS offers analytics services that allow organizations to gain faster and deeper insights from all their data. In this session, G2 Krishnamoorthy, VP of AWS Analytics, addresses the current state of analytics on AWS, covers the latest service innovations around data, and highlights customer successes with AWS analytics. Also, learn from organizations like FINRA and more who have turned to AWS for their digital transformation journey.
Reinvent how you derive value from your data with Amazon QuickSight
In this session, learn how you can use AWS-native business analytics to provide your users with ML-powered interactive dashboards, natural language query (NLQ), and embedded analytics to provide insights to users at scale, when and where they need it. Watch this session to also learn more about how Amazon uses QuickSight internally.
What’s New with Amazon QuickSight?
This session covers all of QuickSight’s newly launched capabilities, including paginated reporting in the cloud, 1 billion rows of data with SPICE, assets as code, and new Amazon QuickSight Q capabilities, including ML-powered semantic inferencing, forecasting, new question types, and more.
Differentiate your apps with Amazon QuickSight embedded analytics
Watch this session to learn how to enable new monetization opportunities and grow your business with QuickSight embedded analytics. Discover how you can differentiate your end-user experience by embedding data visualizations, dashboards, and ML-powered natural language query into your applications at scale with no infrastructure to manage. Hear from customers Guardian Life and Showpad and learn more about their QuickSight use cases.
Migrate to cloud-native business analytics with Amazon QuickSight
Legacy BI systems can hurt agile decision-making in the modern organization, with expensive licensing, outdated capabilities, and expensive infrastructure management. In this session, discover how migrating your BI to the cloud with cloud-native, fully managed business analytics capabilities from QuickSight can help you overcome these challenges. Learn how you can use QuickSight’s interactive dashboards and reporting capabilities to provide insights to every user in the organization, lowering your costs and enabling better decision-making. Watch this session to also learn more about Siemens’s QuickSight use case.
Get clarity on your data in seconds with Amazon QuickSight Q
Amazon QuickSight Q is an ML–powered natural language capability that empowers business users to ask questions about all of their data using everyday business language and get answers in seconds. Q interprets questions to understand their intent and generates an answer instantly in the form of a visual without requiring authors to create graphics, dashboards, or analyses. In this session, the QuickSight Q team provides an overview and demonstration of Q in action. Watch this session to also learn more about NASDAQ’s QuickSight use case.
Optimize your AWS cost and usage with Cloud Intelligence Dashboards
Do your engineers know how much they’re spending? Do you have insight into the details of your cost and usage on AWS? Are you taking advantage of all your cost optimization opportunities? Attend this session to learn how organizations are using the Cloud Intelligence Dashboards to start their FinOps journeys and create cost-aware cultures within their organizations. Dive deep into specific use cases and learn how you can use these insights to drive and measure your cost optimization efforts. Discover how unit economics, resource-level visibility, and periodic spend updates make it possible for FinOps practitioners, developers, and business executives to come together to make smarter decisions. Watch this session to also learn more about Dolby laboratories’ QuickSight use case.
With the QuickSight re:Invent breakout session recordings and additional resources, we hope that you learn how to dive deeper into your data with QuickSight. For continued learning, check out more information and resources via our website.
About the author
Mia Heard is a product marketing manager for Amazon QuickSight, AWS’ cloud-native, fully managed BI service.