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AWS re:Invent is a studying convention hosted by AWS for the worldwide cloud computing neighborhood. This yr’s re:Invent can be held in Las Vegas, NV from November twenty ninth to December third. Amazon QuickSight, a scalable, embeddable, ML-powered enterprise intelligence (BI) service for the cloud can be represented at re:Invent inside the Enterprise Intelligence observe by way of keynotes, breakout periods, chalk talks, workshops, and different deliberate actions.
This submit walks you thru the main points of all QuickSight associated periods and actions that can assist you plan your convention week accordingly. These periods ought to enchantment to anybody eager to study extra about modernizing their BI capabilities and curating a extra knowledge pushed tradition together with enterprise determination makers, BI analysts, knowledge scientists, app builders, and others! To entry the session catalog and reserve your seat for one among our Enterprise Intelligence periods, you have to be registered for re:Invent. Register now!
Keynotes
Swami Sivasubramanian – Vice President, Amazon Machine Studying – Keynote
Be part of Swami Sivasubramanian, Vice President, Amazon Machine Studying, on an exploration of what it takes to place knowledge in motion with an finish to finish knowledge technique together with the most recent information on databases, analytics, and machine studying.
Rahul Pathak – Vice President, Analytics – Management Session: Reinvent your enterprise for the longer term with AWS Analytics
The following wave of digital transformation can be data-driven, and organizations must reinvent themselves utilizing knowledge to make selections shortly and acquire quicker and deeper insights to serve their clients. On this session, Rahul Pathak, VP of AWS Analytics, addresses the present state of analytics on AWS, specializing in the most recent service improvements. Study how one can put your knowledge to work with the most effective of each knowledge lakes and purpose-built knowledge shops. Additionally, uncover how AWS can assist you construct new experiences and reimagine previous processes with a contemporary knowledge structure on AWS.
Breakout periods
BSI201 (LVL 200) – Self-service analytics for everybody with ML-powered Amazon QuickSight Q
In our more and more fast-paced world, it’s important for firms to make data-driven enterprise selections shortly. As a way to transfer quick, groups want the power to reply enterprise questions with out counting on the time-consuming efforts of enterprise intelligence (BI) groups. Amazon QuickSight Q is a machine learning-powered functionality that makes use of pure language processing to reply enterprise questions immediately within the type of a visible, with out requiring authors to create visuals, dashboards, or analyses. On this session, the Amazon QuickSight crew gives an summary of Q and steerage on methods to get began with this new functionality.
BSI202 (LVL 200) – Modernize your BI and reporting with Amazon QuickSight
Organizations more and more try to enhance knowledge literacy for all their staff and cut back dependence on IT and knowledge scientists whereas gaining effectivity by transferring to the cloud. Present enterprise intelligence instruments can restrict enterprise customers’ perception into their knowledge. They will additionally restrict IT departments’ skill to offer self-service analytics in a safe, scalable, and cost-efficient approach. Be part of this session to learn the way clients have modernized their superior analytics, self-service, and reporting wants by migrating to Amazon QuickSight. With QuickSight, you solely pay for what you employ and will not be required to handle any infrastructure.
BSI203 (LVL 200) – Improve your apps with Amazon QuickSight embedded analytics
Empower your customers by embedding enterprise analytics capabilities straight into your software. Amazon QuickSight embedded analytics seamlessly combine into your software and allow your customers to carry out superior analytics with capabilities corresponding to one-time, or advert hoc, analyses and machine learning-based insights, offering you with new methods of monetizing and differentiating your functions. Be part of this session to study QuickSight’s new capabilities for embedding wealthy knowledge visualizations inside SaaS functions that present governance and knowledge safety. The session additionally exhibits how QuickSight could be simply linked to your selection of information providers together with 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 functionality that makes use of pure language processing to immediately reply enterprise questions on knowledge. Q interprets questions to grasp their intent and generates a solution immediately within the type of a visible, with out requiring authors to create visuals, dashboards, or analyses. On this chalk speak, the Amazon QuickSight Q crew gives an summary of Q and the completely different query varieties which might be at the moment supported. Following the product demo, discover ways to arrange datasets to reply pure language questions from customers.
BSI301 (LVL 300) – Superior deployment choices at scale with Amazon QuickSight
Amazon QuickSight is a scalable, serverless, embeddable, ML-powered BI service constructed for the cloud that you need to use to ship easy-to-understand insights to the individuals that you just work with – wherever they’re. On this chalk speak, study deployment methodologies and finest practices round multi-tenancy, cross-account knowledge connectivity, single sign-on, content material migration, and automation, to present you confidence deploying into even essentially the most refined environments.
Workshops
BSI302 (LVL 300) – Construct beautiful dashboards with Amazon QuickSight
Wish to develop your dashboard-building expertise from newbie to superior? On this workshop, the Amazon QuickSight crew guides you thru the most recent authoring performance, corresponding to high-fidelity layouts, customized content material, and superior formatting. These options are designed to empower you to construct stunning layouts and strong interactive experiences with different functions, proper from inside your dashboard.
Extra actions
Demo: “Get solutions in your knowledge in seconds with Amazon QuickSight”
Be part of us within the demo theater on Tuesday November 30 at 3:00PM PST for an Amazon QuickSight Q deep dive demo.
Enterprise Intelligence kiosk within the AWS Village
Go to the Enterprise Intelligence kiosk inside the AWS Village to satisfy with consultants to dive deeper into QuickSight capabilities corresponding to ML-powered Q and Embedded Analytics. It is possible for you to to ask our consultants questions and expertise stay demos for our newly launched capabilities.
Seize your QuickSight swag
Be sure to cease by the swag distribution desk to seize free QuickSight swag. You could attend one of many breakout periods, chalk talks, workshops, or go to our kiosk to acquire a swag voucher.
Different QuickSight associated periods
LFS304 – Speed up science by unifying knowledge silos throughout the enterprise
When shifting to data-driven decision-making, clients—particularly these within the life sciences—usually battle with the necessity to entry knowledge and free it from organizational silos or discover it in different enterprises. On this workshop, discover ways to construct an efficient knowledge mesh platform on AWS to make knowledge discoverable, safe, and interoperable. Free your knowledge from silos and decrease pointless knowledge motion. Using AWS Glue, Amazon Athena, AWS Lake Formation, Amazon S3, Amazon QuickSight, and Amazon Neptune, convey collectively disparate knowledge sources from throughout the enterprise. Use what you study to construct a scalable knowledge mesh to function the inspiration for any analytics and knowledge 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, permits a speedy, environment friendly, and profitable method to construct new analytics, discover AI, and migrate from legacy platforms to the cloud. Be part of this session to discover ways to use Ironside’s AscentIQ providing for Amazon QuickSight to stock, rationalize, and plan the migration of your current reporting implementation; construct the enterprise case on your migration; refactor and automate era of legacy report specs; and speed up purposeful validation of legacy content material. This presentation is dropped at you by Ironside, an AWS Accomplice.
COP311 – Construct your individual customizable price reporting dashboards
Get actionable insights to trace your AWS price and utilization efficiency, drive cost-efficient consumption conduct in your group, and make cost-aware architectural selections. Be part of this workshop to study how one can combine AWS Value and Utilization Studies with Amazon QuickSight and construct your individual dashboards to visualise particular KPIs and financial savings alternatives which might be significant to you and your enterprise.
GPS306 – Information warehouse and enterprise intelligence modernization
Amazon Redshift is a quick, totally managed, petabyte-scale, cloud-native analytics knowledge warehouse. A lot of organizations are migrating their present knowledge warehousing programs into Amazon Redshift to reap the benefits of higher efficiency and scale, decrease prices, the benefit of use of a managed service, and knowledge lake integration. Amazon QuickSight is a scalable, serverless, cloud-powered enterprise intelligence (BI) service that makes it straightforward so that you can publish insights by way of interactive BI dashboards. Be part of this workshop to study and apply methods to modernize and migrate legacy knowledge warehouse programs to Amazon Redshift and methods to migrate your BI dashboards to Amazon QuickSight.
ENT306 – Final result-oriented analytics for SAP on AWS
On this workshop, discover ways to clear up widespread enterprise issues utilizing native AWS providers together with SAP functions. First within the workshop, construct a knowledge extraction layer from SAP. Then, put together the info with AWS Glue DataBrew and use Amazon QuickSight to visualise, forecast, and use NLP for enterprise course of reporting.
AIM208 – S – Port of Vancouver: Bettering provide chain visibility (sponsored by Deloitte)
As Canada’s largest port and the third-largest port in North America, the Port of Vancouver wanted to overtake its container examination course of as a result of it was a serious supply of challenges throughout the community. Be part of this session to learn the way the Port of Vancouver used a blockchain software built-in with AWS Panorama to assist determine and observe containers, feed real-time knowledge into the blockchain system, allow correct project of price, and determine effectivity enchancment alternatives. Uncover how different AWS providers, corresponding to Amazon SageMaker, Amazon QuickSight, AWS IoT Core, and extra, have been additionally used to ship the info and insights, whereas assembly privateness, safety, and knowledge residency necessities. This presentation is dropped at you by Deloitte, an AWS Accomplice.
FSI203 – State Farm: Enabling speedy deployment with danger automation
On this session, learn the way State Farm streamlined deployment approval from months to minutes by implementing an automatic, data-driven danger administration course of for all use instances leveraging AWS providers. Approving deployments for manufacturing in monetary providers can usually be a handbook, opinion-based, and time-consuming course of that frustrates builders, safety groups, and govt management alike. State Farm’s resolution not solely notifies account directors of potential compliance points but in addition helps auto-remediation of those points. It gives steady, real-time testing and monitoring of controls, which accelerates service adoption for builders, delivers assurance to InfoSec professionals, and permits agile govt decision-making.
AIM317 – Uncover insights from buyer conversations with no ML experience required
Understanding what your clients are saying is important to your enterprise, however navigating the expertise wanted to make sense of those conversations could be daunting. On this workshop, uncover methods to uncover useful insights out of your knowledge utilizing customized fashions which might be tailor-made to your enterprise wants—with no ML experience required. Utilizing a set of buyer calls, discover ways to increase transcription accuracy with Amazon Transcribe customized language fashions, extract insights with Amazon Comprehend customized entities, localize content material with Amazon Translate Energetic Customized Translation, and create highly effective visualizations with Amazon QuickSight.
Helpful sources
Whether or not you intend on attending re:Invent in particular person or nearly this yr you’ll be able to all the time study extra about QuickSight by way of these useful sources:
QuickSight YouTube Channel
Subscribe to remain updated on the most recent QuickSight workshops, getting began tutorials, and demo movies.
Expertise QuickSight first hand by way of interactive dashboards and demos.
Improve your BI expertise with self-paces QuickSight workshops.
In regards to the Creator
Mia Heard is a product advertising and marketing supervisor for Amazon QuickSight, AWS’ cloud-native, totally managed BI service.
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