AWS re:Invent is a studying convention hosted by AWS for the worldwide cloud computing neighborhood. Re:Invent was held on the finish of 2022 in Las Vegas, Nevada, from November 28 to December 2.
Amazon QuickSight powers data-driven organizations with unified enterprise intelligence (BI) at hyperscale. This publish walks you thru a full recap of QuickSight at this 12 months’s re:Invent, together with key launch bulletins, periods out there nearly, and extra assets for continued studying.
Launch bulletins
AWS Proclaims 5 New Capabilities for Amazon QuickSight
This press launch covers 5 new QuickSight capabilities that can assist you streamline enterprise intelligence operations, utilizing the most well-liked serverless BI service constructed for the cloud.
New analytical questions out there in Amazon QuickSight Q: “Why” and “Forecast”
QuickSight publicizes help for 2 new query varieties that simplify and scale advanced analytical duties utilizing pure language: “forecast” and “why.”
Saying Automated Information Preparation for Amazon QuickSight Q
Automated knowledge preparation makes use of machine studying (ML) to deduce semantic details about knowledge and provides it to datasets as metadata in regards to the columns (fields), making it sooner so that you can put together knowledge with a view to help pure language questions.
New Amazon QuickSight API Capabilities to Speed up Your BI Transformation
New QuickSight API capabilities enable programmatic creation and administration of dashboards, evaluation, and templates.
Create and Share Operational Studies at Scale with Amazon QuickSight Paginated Studies
This characteristic lets you create and share extremely formatted, customized reviews containing business-critical knowledge to a whole bunch of 1000’s of end-users—with none infrastructure setup or upkeep, up-front licensing, or long-term commitments.
Keynotes
Adam Selipsky, Chief Government Officer of Amazon Internet Companies
Watch Adam Selipsky, Chief Government Officer of Amazon Internet Companies, as he seems on the ways in which forward-thinking builders are reworking industries and even our future, powered by AWS. He highlights improvements in knowledge, infrastructure, and extra which can be serving to prospects obtain their targets sooner, make the most of untapped potential, and create a greater future with AWS.
Swami Sivasubramanian, Vice President of AWS Information and Machine Studying
Watch Swami Sivasubramanian, Vice President of AWS Information and Machine Studying, as he reveals the most recent AWS improvements that may show you how to remodel your organization’s knowledge into significant insights and actions for your small business. On this keynote, a number of audio system focus on the important thing elements of a future-proof knowledge technique and the way to empower your group to drive the following wave of recent invention with knowledge. Hear from main AWS prospects who’re utilizing knowledge to convey new experiences to life for his or her prospects.
Management periods
Unlock the worth of your knowledge with AWS analytics
Information fuels digital transformation and drives efficient enterprise selections. To outlive in an ever-changing world, organizations are turning to knowledge to derive insights, create new experiences, and reinvent themselves to allow them to stay related as we speak and sooner or later. AWS affords analytics companies that enable organizations to realize sooner and deeper insights from all their knowledge. On this session, G2 Krishnamoorthy, VP of AWS Analytics, addresses the present state of analytics on AWS, covers the most recent service improvements round knowledge, and highlights buyer successes with AWS analytics. Additionally, study from organizations like FINRA and extra who’ve turned to AWS for his or her digital transformation journey.
Reinvent the way you derive worth out of your knowledge with Amazon QuickSight
On this session, learn the way you should use AWS-native enterprise analytics to supply your customers with ML-powered interactive dashboards, pure language question (NLQ), and embedded analytics to supply insights to customers at scale, when and the place they want it. Watch this session to additionally study extra about how Amazon makes use of QuickSight internally.
Breakout periods
What’s New with Amazon QuickSight?
This session covers all of QuickSight’s newly launched capabilities, together with paginated reporting within the cloud, 1 billion rows of information with SPICE, belongings as code, and new Amazon QuickSight Q capabilities, together with ML-powered semantic inferencing, forecasting, new query varieties, and extra.
Differentiate your apps with Amazon QuickSight embedded analytics
Watch this session to learn to allow new monetization alternatives and develop your small business with QuickSight embedded analytics. Uncover how one can differentiate your end-user expertise by embedding knowledge visualizations, dashboards, and ML-powered pure language question into your purposes at scale with no infrastructure to handle. Hear from prospects Guardian Life and Showpad and study extra about their QuickSight use circumstances.
Migrate to cloud-native enterprise analytics with Amazon QuickSight
Legacy BI programs can damage agile decision-making within the trendy group, with costly licensing, outdated capabilities, and costly infrastructure administration. On this session, uncover how migrating your BI to the cloud with cloud-native, absolutely managed enterprise analytics capabilities from QuickSight may also help you overcome these challenges. Find out how you should use QuickSight’s interactive dashboards and reporting capabilities to supply insights to each person within the group, reducing your prices and enabling higher decision-making. Watch this session to additionally study extra about Siemens’s QuickSight use case.
Get readability in your knowledge in seconds with Amazon QuickSight Q
Amazon QuickSight Q is an ML–powered pure language functionality that empowers enterprise customers to ask questions on all of their knowledge utilizing on a regular basis enterprise language and get solutions in seconds. Q interprets questions to grasp their intent and generates a solution immediately within the type of a visible with out requiring authors to create graphics, dashboards, or analyses. On this session, the QuickSight Q workforce supplies an summary and demonstration of Q in motion. Watch this session to additionally study extra about NASDAQ’s QuickSight use case.
Optimize your AWS value and utilization with Cloud Intelligence Dashboards
Do your engineers know the way a lot they’re spending? Do you’ve got perception into the small print of your value and utilization on AWS? Are you profiting from all of your value optimization alternatives? Attend this session to learn the way organizations are utilizing the Cloud Intelligence Dashboards to start out their FinOps journeys and create cost-aware cultures inside their organizations. Dive deep into particular use circumstances and learn the way you should use these insights to drive and measure your value optimization efforts. Uncover how unit economics, resource-level visibility, and periodic spend updates make it attainable for FinOps practitioners, builders, and enterprise executives to return collectively to make smarter selections. Watch this session to additionally study extra about Dolby laboratories’ QuickSight use case.
Helpful assets
With the QuickSight re:Invent breakout session recordings and extra assets, we hope that you simply learn to dive deeper into your knowledge with QuickSight. For continued studying, try extra data and assets by way of our web site.
In regards to the creator
Mia Heard is a product advertising supervisor for Amazon QuickSight, AWS’ cloud-native, absolutely managed BI service.
