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FEATURED ANNOUNCEMENTS
Analytics
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Amazon DataZone (Preview)Unlock data across organizational boundaries with
built-in governance
Apache Spark support on Amazon AthenaRun interactive analytics on Apache Spark
in under a second
AWS Glue Data Quality (Preview)Deliver high-quality data across your data lakes
and pipelines
AWS Glue for Ray (Preview)Scale and simplify with Python code for ETL, made
serverless
Amazon OpenSearch Serverless (Preview)Deliver search and log analytics without
provisioning and adjusting resources
Amazon QuickSight Paginated ReportsCreate, schedule, and share reports and data
exports
Amazon Redshift Integration for Apache SparkBuild Apache Spark apps that read
and write data from Amazon Redshift
AWS Clean Rooms (Preview)Match, analyze, and collaborate on datasets–without
sharing or revealing underlying data
Automated data-prep for Amazon QuickSight QAnswer your business questions by
quickly and easily enabling your data for natural language search
New expanded API capabilities in Amazon QuickSightProgrammatically create and
manage dashboards in Amazon QuickSight and accelerate migration to the cloud
Business Applications
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Amazon Connect forecasting, capacity planning, and schedulingRespond faster to
capacity and workforce changes with ML-powered contact center capabilities
AWS Supply Chain (Preview)Mitigate risks and lower costs with an ML-powered
supply chain application
AWS WickrProtect enterprise communications with end-to-end encryption
Step-by-step guides for Amazon Connect agent workspace (Preview)Resolve contact
center customer issues faster and more accurately
Compute
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Amazon EC2 C7gn Instances (Preview)Graviton compute optimized instances with up
to 200 Gbps of networking bandwidth
Amazon EC2 Hpc6id InstancesAmazon EC2 Hpc6id instances deliver cost-effective
price performance for data-intensive HPC workloads
Amazon EC2 Hpc7g InstancesDeliver up to 60% better performance over comparable
previous generation instances for compute-intensive workloads
Amazon EC2 Inf2 Instances (Preview)High performance at the lowest cost in Amazon
EC2 for the most demanding inference workloads
AWS Lambda SnapStartAchieve up to 10x faster Java function startup times
AWS SimSpace WeaverBuild dynamic, large-scale spatial simulations on AWS managed
infrastructure
Local Zones now generally available in Buenos Aires, Copenhagen, Helsinki and
MuscatBringing AWS Cloud to millions of users in 4 new metros
Database
--------------------------------------------------------------------------------
Amazon Aurora zero-ETL integration with Amazon Redshift (Preview)Amazon Aurora
now supports zero-ETL integration with Amazon Redshift
Developer Tools
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Amazon CodeCatalyst (Preview)Unified software development service for faster
development and delivery on AWS
Machine Learning & AI
--------------------------------------------------------------------------------
Amazon OmicsTransform omics data into insights
Amazon SageMaker now supports geospatial ML (Preview)Build, train, and deploy ML
models using geospatial data
ML Governance with Amazon SageMaker (Preview)Simplify access control and enhance
transparency
Management & Governance
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Amazon CloudWatch Internet Monitor (Preview)Visualize your application's global
internet health and diagnose issues in minutes, not days
Networking & Content Delivery
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AWS Verified Access (Preview)Provide secure access to corporate applications
without a VPN
Amazon VPC Lattice (Preview)Simplify service-to-service connectivity, security,
and monitoring
Security, Identity, & Compliance
--------------------------------------------------------------------------------
Amazon Security Lake (Preview)Automatically centralize your security data with a
few clicks
Amazon Verified Permissions (Preview)Fine-grained permissions and authorization
for your applications
Serverless
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AWS Application Composer (Preview)Visually design and build serverless
applications quickly
Featured Services
Analytics
Application Integration
Blockchain
Business Applications
Cloud Financial Management
Compute
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Containers
Database
Developer Tools
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Management & Governance
Media Services
Migration & Transfer
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Quantum Technologies
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Security, Identity, & Compliance
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Storage
Featured Services
Amazon EC2 Virtual servers in the cloud
Amazon Simple Storage Service (S3)Scalable storage in the cloud
Amazon AuroraHigh performance managed relational database with full MySQL and
PostgreSQL compatibility
Amazon DynamoDBManaged NoSQL database
Amazon RDSManaged relational database service for MySQL, PostgreSQL, Oracle, SQL
Server, and MariaDB
AWS LambdaRun code without thinking about servers
Amazon VPCIsolated cloud resources
Amazon Lightsail Launch and manage virtual private servers
Amazon SageMakerBuild, train, and deploy machine learning models at scale
Resources and Media
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Analytics
Amazon AthenaQuery data in S3 using SQL
Amazon CloudSearchManaged search service
Amazon DataZone (Preview)Unlock data across organizational boundaries with
built-in governance
Amazon OpenSearch ServiceSearch, visualize, and analyze up to petabytes of text
and unstructured data
Amazon EMREasily run big data frameworks
Amazon FinSpaceAnalytics for the financial services industry
Amazon KinesisAnalyze real-time video and data streams
Amazon Managed Streaming for Apache KafkaFully managed Apache Kafka service
Amazon RedshiftFast, simple, cost-effective data warehousing
Amazon QuickSightFast business analytics service
AWS Clean Rooms (Preview)Match, analyze, and collaborate on datasets–without
sharing or revealing underlying data
AWS Data ExchangeFind, subscribe to, and use third-party data in the cloud
AWS Data PipelineOrchestration service for periodic, data-driven workflows
AWS GlueSimple, scalable, and serverless data integration
AWS Lake FormationBuild, manage, and secure your data lake
Resources and Media
Blog
Read the latest blog posts on Big Data
What's New on AWS
See announcements for Big Data and Analytics on AWS
Customer Enablement
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AWS Managed Services
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AWS Training and Certification
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Application Integration
AWS Step FunctionsCoordination for distributed applications
Amazon AppFlowNo-code integration for SaaS apps & AWS services
Amazon EventBridgeServerless event bus for SaaS apps & AWS services
Amazon Managed Workflows for Apache AirflowHighly available, secure, and managed
workflow orchestration
Amazon MQManaged message broker service
Amazon Simple Notification Service (SNS)Pub/sub, SMS, email, and mobile push
notifications
Amazon Simple Queue Service (SQS)Managed message queues
AWS AppSyncFully-managed, scalable GraphQL APIs
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Read the latest Application Integration blogs for AWS Compute
What's New on AWS
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Customer Enablement
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AWS Training and Certification
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Blockchain
Amazon Managed BlockchainCreate and manage scalable blockchain networks
Amazon Quantum Ledger Database (QLDB)Fully managed ledger database
Resources and Media
What's New on AWS
See announcements for Blockchain on AWS
Documentation
Read the technical guide for Amazon Managed Blockchain
Customer Enablement
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AWS Managed Services
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AWS Training and Certification
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Business Applications
Amazon ConnectOmnichannel cloud contact center
Amazon PinpointMultichannel marketing communications
AWS Supply Chain (Preview)Mitigate risks and lower costs with an ML-powered
supply chain application
Productivity Applications
Amazon Honeycode (Beta)Build mobile & web apps without programming
Amazon ChimeFrustration-free meetings, video calls, and chat
AWS WickrEnd-to-end encrypted communications
Amazon WorkDocsSecure enterprise document storage and sharing
Amazon WorkMailSecure email and calendaring
Alexa for BusinessEmpower your organization with Alexa
Communication Developer Services
Amazon Chime SDKReal-time messaging, audio, video, and screen sharing
Amazon Simple Email Service (SES)High-scale inbound and outbound email
Amazon Pinpoint APIsFlexible mobile SMS and push notifications
Amazon Chime Voice ConnectorSIP trunking and advanced telephony features
Amazon WorkDocs SDKSecure file collaboration and management
Resources and Media
Blog
Read the latest blogs for Business Productivity
What's New on AWS
See announcements for Business Productivity
Customer Enablement
AWS IQ
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AWS Managed Services
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AWS Professional Services
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AWS Training and Certification
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Cloud Financial Management
AWS Cost ExplorerAnalyze your AWS cost and usage
AWS Billing ConductorSimplify billing and reporting with customizable pricing
and cost visibility
AWS BudgetsSet custom cost and usage budgets
AWS Cost and Usage ReportAccess comprehensive cost and usage information
Reserved Instance ReportingDive deeper into your reserved instances (RIs)
Savings PlansSave up to 72% on compute usage with flexible pricing
Resources and Media
What's New on AWS
See announcements for AWS Cost Management
AWS Marketplace
Find AP and Billing software in the AWS Marketplace
Customer Enablement
AWS IQ
Complete your projects faster with help from AWS Certified third-party experts
AWS Managed Services
Operate your AWS infrastructure for you
AWS Professional Services
Accelerate your business outcomes with AWS
AWS Training and Certification
Build and validate your skills and technical expertise
Compute
Amazon EC2 Virtual servers in the cloud
Amazon EC2 Auto Scaling Scale compute capacity to meet demand
Amazon Lightsail Launch and manage virtual private servers
AWS App RunnerBuild and run containerized web apps at scale
AWS Batch Run batch jobs at any scale
AWS Elastic Beanstalk Run and manage web apps
AWS LambdaRun code without thinking about servers
AWS OutpostsRun AWS infrastructure on-premises
AWS Serverless Application RepositoryDiscover, deploy, and publish serverless
applications
AWS SimSpace WeaverBuild dynamic, large-scale spatial simulations on AWS managed
infrastructure
AWS Snow FamilyPhysical devices to aggregate and process data in edge locations,
then transfer to AWS
AWS WavelengthDeliver ultra-low latency applications for 5G devices
VMware Cloud on AWSBuild a hybrid cloud without custom hardware
Resources and Media
Blog
Read the latest blogs for AWS Compute
Developer Center
Visit the AWS Developer Center
Customer Enablement
AWS IQ
Complete your projects faster with help from AWS Certified third-party experts
AWS Managed Services
Operate your AWS infrastructure for you
AWS Professional Services
Accelerate your business outcomes with AWS
AWS Training and Certification
Build and validate your skills and technical expertise
Contact Center
Amazon ConnectOmnichannel cloud contact center
Resources and Media
Learn
Read about Customer Analytics
What's New on AWS
See announcements for Customer Engagement on AWS
Customer Enablement
AWS IQ
Complete your projects faster with help from AWS Certified third-party experts
AWS Managed Services
Operate your AWS infrastructure for you
AWS Professional Services
Accelerate your business outcomes with AWS
AWS Training and Certification
Build and validate your skills and technical expertise
Containers
Amazon Elastic Container Registry Easily store, manage, and deploy container
images
Amazon Elastic Container Service (ECS)Highly secure, reliable, and scalable way
to run containers
Amazon ECS AnywhereRun containers on customer-managed infrastructure
Amazon Elastic Kubernetes Service (EKS)The most trusted way to run Kubernetes
Amazon EKS AnywhereKubernetes on your infrastructure
Amazon EKS DistroRun consistent Kubernetes clusters
AWS App2ContainerContainerize and migrate existing applications
AWS App RunnerBuild and run containerized web apps at scale
AWS CopilotEasily deploy and operate containerized applications
AWS FargateServerless compute for containers
Red Hat OpenShift Service on AWSManaged Red Hat OpenShift clusters
Resources and Media
AWS Blogs
Read the latest AWS blog posts on Containers
What's New on AWS
See announcements for Containers on AWS
Customer Enablement
AWS IQ
Complete your projects faster with help from AWS Certified third-party experts
AWS Managed Services
Operate your AWS infrastructure for you
AWS Professional Services
Accelerate your business outcomes with AWS
AWS Training and Certification
Build and validate your skills and technical expertise
Database
Amazon AuroraHigh performance managed relational database with full MySQL and
PostgreSQL compatibility
Amazon Aurora Serverless V2Instantly scale to >100,000 transactions per second
Amazon DocumentDB (with MongoDB compatibility)Fully managed document database
Amazon DynamoDBManaged NoSQL database
Amazon ElastiCacheIn-memory caching service
Amazon Keyspaces (for Apache Cassandra)Managed Cassandra-compatible database
Amazon MemoryDB for RedisRedis-compatible, durable, in-memory database that
delivers ultra-fast performance
Amazon NeptuneFully managed graph database service
Amazon Quantum Ledger Database (QLDB)Fully managed ledger database
Amazon RDSManaged relational database service for MySQL, PostgreSQL, Oracle, SQL
Server, and MariaDB
Amazon RDS on OutpostsAutomate on-premises database management
Amazon RedshiftFast, simple, cost-effective data warehousing
Amazon TimestreamFully managed time series database
AWS Database Migration ServiceMigrate databases with minimal downtime
Resources and Media
Blog
Read the latest AWS Database blogs
What's New on AWS
See recent announcements on Databases from AWS
Customer Enablement
AWS IQ
Complete your projects faster with help from AWS Certified third-party experts
AWS Managed Services
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AWS Professional Services
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AWS Training and Certification
Build and validate your skills and technical expertise
Developer Tools
Amazon CodeCatalyst (Preview)Unified software development service for faster
development and delivery on AWS
Amazon CodeGuruFind your most expensive lines of code
Amazon CorrettoProduction-ready distribution of OpenJDK
AWS Cloud Control APIManage cloud infrastructure with unified APIs
AWS Cloud Development Kit (CDK)Model cloud infrastructure using code
AWS Cloud9Write, run, and debug code on a cloud IDE
AWS CloudShellBrowser-based shell environment
AWS CodeArtifactSecure, scalable, and cost-effective artifact management for
software development
AWS CodeBuildBuild and test code
AWS CodeCommitStore code in private Git repositories
AWS CodeDeployAutomate code deployments
AWS CodePipelineRelease software using continuous delivery
AWS CodeStarDevelop and deploy AWS applications
AWS Command Line InterfaceUnified tool to manage AWS services
AWS Device FarmTest Android, iOS, and web apps on real devices in the AWS cloud
AWS Fault Injection SimulatorFully managed fault injection service
AWS Tools and SDKsTools and SDKs for AWS
AWS X-RayAnalyze and debug your applications
Resources and Media
Blog
Read the latest blogs on DevOps
Developer Center
Visit the AWS Developer Center
Customer Enablement
AWS IQ
Complete your projects faster with help from AWS Certified third-party experts
AWS Managed Services
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AWS Professional Services
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AWS Training and Certification
Build and validate your skills and technical expertise
End User Computing
Amazon WorkSpacesVirtual desktops in the cloud
Amazon AppStream 2.0Stream desktop applications securely to a browser
Resources and Media
Blog
Read the latest on End User Computing
What's New on AWS
See announcements on End User Computing from AWS
Customer Enablement
AWS IQ
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AWS Managed Services
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AWS Professional Services
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AWS Training and Certification
Build and validate your skills and technical expertise
Front-End Web & Mobile
AWS AmplifyBuild, deploy, and host scalable web and mobile apps
Amazon API GatewayBuild, deploy, and manage APIs
Amazon Location ServiceSecurely and easily add location data to applications
Amazon PinpointPersonalized user engagement across channels
AWS AppSyncFully-managed, scalable GraphQL APIs
AWS Device FarmTest Android, iOS, and web apps on real devices in the AWS cloud
Resources and Media
Learn
Learn more about AWS Amplify CLI toolchain
Blog
Read the latest on Mobile
Customer Enablement
AWS IQ
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AWS Managed Services
Operate your AWS infrastructure for you
AWS Professional Services
Accelerate your business outcomes with AWS
AWS Training and Certification
Build and validate your skills and technical expertise
Games
Amazon GameLiftSimple, fast, cost-effective dedicated game server hosting
Amazon GameSparksBuild game backends
Amazon LumberyardA free cross-platform 3D game engine, with Full Source,
integrated with AWS and Twitch
AWS GameKitDeploy and customize game backend features directly from Unreal
Engine
Resources and Media
New Tutorial
Build an Inventory System for Games with Amazon Aurora Serverless
Customer Success
How Dead by Daylight survives the test of time using AWS
Customer Enablement
AWS IQ
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AWS Managed Services
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AWS Professional Services
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AWS Training and Certification
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Internet of Things
AWS IoT 1-ClickOne click creation of an AWS Lambda trigger
AWS IoT AnalyticsAnalytics for IoT devices
AWS IoT ButtonCloud programmable dash button
AWS IoT CoreConnect devices to the cloud
AWS IoT Device DefenderSecurity management for IoT devices
AWS IoT Device ManagementOnboard, organize, and remotely manage IoT devices
AWS IoT EduKitLearn how to build simple IoT applications
AWS IoT EventsIoT event detection and response
AWS IoT ExpressLinkQuickly and easily develop secure IoT devices
AWS IoT FleetWiseEasily collect, transform, and transfer vehicle data to the
cloud in near-real time
AWS IoT GreengrassLocal compute, messaging, and sync for devices
AWS IoT RoboRunnerBuild applications that help robot fleets work together
seamlessly
AWS IoT SiteWiseIoT data collector and interpreter
AWS IoT TwinMakerOptimize operations by easily creating digital twins of
real-world systems
AWS Partner Device CatalogCurated catalog of AWS-compatible IoT hardware
FreeRTOSReal-time operating system for microcontrollers
Resources and Media
Blog
Read the latest blogs on IoT
Getting Started
Find 10-Minute Tutorials on Internet of Things
Customer Enablement
AWS IQ
Complete your projects faster with help from AWS Certified third-party experts
AWS Managed Services
Operate your AWS infrastructure for you
AWS Professional Services
Accelerate your business outcomes with AWS
AWS Training and Certification
Build and validate your skills and technical expertise
Machine Learning
Amazon SageMakerBuild, train, and deploy machine learning models at scale
Amazon Augmented AIEasily implement human review of ML predictions
Amazon CodeGuruFind your most expensive lines of code
Amazon CodeWhispererBuild apps faster with ML-powered coding companion
Amazon ComprehendDiscover insights and relationships in text
Amazon Comprehend MedicalExtract health data
Amazon DevOps GuruML-powered cloud operations service
Amazon Elastic InferenceDeep learning inference acceleration
Amazon ForecastIncrease forecast accuracy using machine learning
Amazon Fraud DetectorDetect more online fraud faster
Amazon HealthLakeMake sense of health data
Amazon KendraReinvent enterprise search with ML
Amazon LexBuild voice and text chatbots
Amazon Lookout for EquipmentDetect abnormal behavior by analyzing sensor data
Amazon Lookout for MetricsDetect anomalies in metrics
Amazon Lookout for VisionSpot product defects using computer vision
Amazon MonitronEnd-to-end system for equipment monitoring
Amazon OmicsTransform omics data into insights
Amazon PersonalizeBuild real-time recommendations into your applications
Amazon PollyTurn text into life-like speech
Amazon RekognitionAnalyze image and video
Amazon Textract Extract text and data from documents
Amazon TranslateNatural and fluent language translation
Amazon TranscribeAutomatic speech recognition
AWS Deep Learning AMIsDeep learning on Amazon EC2
AWS Deep Learning ContainersDocker images for deep learning
AWS DeepComposerML enabled musical keyboard
AWS DeepLensDeep learning enabled video camera
AWS DeepRacerAutonomous 1/18th scale race car, driven by ML
AWS InferentiaMachine learning inference chip
AWS PanoramaImprove operations with computer vision at the edge
Apache MXNet on AWSScalable, open-source deep learning framework
PyTorch on AWSFlexible open-source machine learning framework
TensorFlow on AWSOpen-source machine intelligence library
Resources and Media
Blog
Read the latest blogs on Machine Learning
What's New on AWS
See announcements for Machine Learning on AWS
Customer Enablement
AWS IQ
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AWS Managed Services
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AWS Professional Services
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AWS Training and Certification
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Management & Governance
Amazon CloudWatchMonitor resources and applications
Amazon Managed GrafanaPowerful interactive data visualizations
Amazon Managed Service for PrometheusHighly available, secure monitoring for
containers
AWS Auto ScalingScale multiple resources to meet demand
AWS ChatbotChatOps for AWS
AWS CloudFormationCreate and manage resources with templates
AWS CloudTrailTrack user activity and API usage
AWS Command Line InterfaceUnified tool to manage AWS services
AWS Compute OptimizerIdentify optimal AWS Compute resources
AWS ConfigTrack resources inventory and changes
AWS Control TowerSet up and govern a secure, compliant multi-account environment
AWS Console Mobile ApplicationAccess resources on the go
AWS Distro for OpenTelemetryCollect correlated metrics and traces
AWS Health DashboardView important events and changes affecting your AWS
environment
AWS Launch WizardEasily size, configure, and deploy third party applications on
AWS
AWS License ManagerTrack, manage, and control licenses
AWS Management ConsoleWeb-based user interface
AWS Managed ServicesInfrastructure operations management for AWS
AWS OpsWorksAutomate operations with Chef and Puppet
AWS OrganizationsCentral governance and management across AWS accounts
AWS ProtonAutomated management for container and serverless deployment
AWS Resilience HubProtect applications from disruption
AWS Service CatalogCreate and use standardized products
AWS Service Management ConnectorProvision, manage and operate AWS resources
within Service Management Tools
AWS Systems ManagerGain operational insights and take action
AWS Trusted AdvisorOptimize performance and security
AWS Well-Architected ToolReview and improve your workloads
Resources and Media
What's New on AWS
See announcements for Management & Governance on AWS
Blog
Read the latest blogs on Management Tools
Customer Enablement
AWS IQ
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AWS Managed Services
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AWS Training and Certification
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Media Services
Amazon Elastic TranscoderEasy-to-use scalable media transcoding
Amazon Interactive Video ServiceManaged live video solution
Amazon Kinesis Video StreamsProcess and analyze video streams
Amazon Nimble StudioBuild a digital content creation studio
AWS Elemental MediaConnectReliable and secure live video transport
AWS Elemental MediaConvertConvert file-based video content
AWS Elemental MediaLiveConvert live video content
AWS Elemental MediaPackageVideo origination and packaging
AWS Elemental MediaStoreMedia storage and simple http origin
AWS Elemental MediaTailorVideo personalization and monetization
AWS Elemental Appliances & SoftwareOn-premises media solutions
AWS Thinkbox DeadlineAWS Thinkbox Deadline: Render farm manager
AWS Thinkbox FrostAWS Thinkbox Frost: Create particle meshes faster
AWS Thinkbox KrakatoaAWS Thinkbox Krakatoa: Render production-grade volumetrics
AWS Thinkbox SequoiaAWS Thinkbox Sequoia: Point cloud data geometry
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Amazon AI Conclave
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20+
Sessions
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Level up your skills
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21 DECEMBER, 2022
10:00 AM IST – 5:00 PM IST
EMPOWERING BUSINESSES TO MAKE REAL IMPACT WITH AI & ML
Join us for the 6th edition of Amazon AI Conclave, a conference that aims to
help builders and businesses make smart, customer-centric, scalable solutions in
the cloud and on the edge using Amazon’s broadest and deepest set of artificial
intelligence and machine learning services (AI & ML).
The event features keynote sessions presented by industry leaders, deep-dive
sessions on AI & ML, 1:1 interaction with AWS experts, and much more.
Accelerate innovation, scale effortlessly, and create real impact for your
business, with AI & ML services on AWS.
WHO SHOULD ATTEND?
DATA SCIENTISTS, DEVELOPERS AND AI/ML PRACTITIONERS
GET HANDS-ON AND STEP-BY-STEP ARCHITECTURAL AND DEPLOYMENT BEST PRACTICES
BUILDING COMPUTER VISION ML APPLICATIONS ON AWS
EXPLORE ML OPS ON AWS
EARN A CERTIFICATE OF ATTENDANCE
CONNECT 1:1 WITH AWS EXPERTS FOR INSIGHTS ON BUILDING WITH AWS AND CLOUD
COMPUTING
--------------------------------------------------------------------------------
DATA CXOS AND BUSINESS LEADERS
LEARN HOW AI IS CHANGE THE WAY WE DO BUSINESS TODAY WITH THE ‘AI STATE OF THE
UNION’ KEYNOTE
HEAR HOW COMPANIES AROUND THE WORLD AND ACROSS ALL INDUSTRIES ARE LEVERAGING
AWS AI AND ML
EXPLORE WAYS TO BOOST REVENUE BY CREATING NEW PRODUCTS WITH AI AND ML
HEAR FROM AWS AI AND ML EXPERTS AND INDUSTRY LEADERS
AGENDA
* KEYNOTE - AI STATE OF THE UNION
Join this session to hear Vikram Anbazhagan, Director & General Manager,
Amazon AI, Amazon Web Services, as he discusses the latest AWS innovations
that can help you transform your organization's DNA, to gain meaningful and
actionable insights for your business.
In this technical keynote, he discusses the key components of a future-proof
artificial intelligence and machine learning (AI & ML) strategy, and how you
can empower your organization to drive the next wave of modern invention on
AWS.
Speaker: Vikram Anbazhagan, Director & General Manager, Amazon AI, Amazon Web
Services
Time: 10:00am - 10:45am
* OPTIMIZING THE PERFORMACE OF YOUR AWS CLOUD WITH AI AND INTEL
Artificial intelligence (AI) is a key enabler of digital transformation; and
businesses must prepare for an AI-led future to solve real-world challenges.
In this session, learn how to democratize and build AI for your organization
at critical performance and impact on the Intel technologies powered Amazon
Elastic Compute Cloud (Amazon EC2) platform. Reimagine the future with
disruptive, fast, and efficient AI.
Speaker: Akanksha Balani, AWS APJ Alliance Head @ Intel & Global AI, HPC GTM
Lead, Intel
Time: 10:45am - 11:15am
* ACCELERATING YOUR ML JOURNEY WITH LOW-CODE TOOLS
The machine learning (ML) journey requires continuous experimentation and
rapid prototyping to be successful. In order to create highly accurate
models, data scientists have to first experiment with feature engineering,
model selection, and optimization techniques. These processes are
traditionally time consuming and expensive.
In this session, learn how low-code tools, including Amazon SageMaker Data
Wrangler, Amazon SageMaker Autopilot, and Amazon SageMaker JumpStart make it
easier to experiment faster and bring highly accurate models to production
more quickly and efficiently.
Speaker: Guru Bala, Head of Specialist Solutions Architect, Amazon Internet
Services Private Limited
Time: 11:15am - 11:45am
* BREAKOUT TRACKS
* AI Developer track
* AI Engineers and Scientist track
* AI and ML Stories track
* AI/ML for Business Applications track
* AI Developer track
* Training ML models at scale with Amazon SageMaker
Training machine learning (ML) models at scale often requires significant
infrastructure investment.
In this session, learn how Amazon SageMaker Model Training activates
training and tuning of large-scale ML models with high performance, and
without the need to manage infrastructure. Explore how Amazon SageMaker
Model Training makes it easy to checkpoint models during training and
automatically restarts the job on certain types of failures. Additionally,
hear about how Amazon SageMaker Model Training offers tools for activating
faster distributed training with libraries for data parallelism and model
parallelism, model tuning to accelerate hyperparameter optimization, and
more.
Speaker: Vatsal Shah, Senior Solutions Architect, Amazon Internet Services
Private Limited
Time: 11:45am - 12:30pm
--------------------------------------------------------------------------------
Accelerating your team with the next generation of Amazon SageMaker
notebooks
In this session, discover how to use quick-start, collaborative Amazon
SageMaker Studio notebooks to increase developer productivity and support
collaboration across all steps in your ML development.
We showcase the newest built-in capabilities of SageMaker Studio notebooks
during this deep-dive session, and discuss how Jupyter notebooks can reach
their full potential with SageMaker.
Speaker: Rahul Shringarpure, Principal Startup Solutions Architect, Amazon
Internet Services Private Limited
Time: 12:30pm - 1:15pm
--------------------------------------------------------------------------------
End-to-end data preparation and machine learning with Amazon SageMaker
Studio
In this session, you will learn through live demonstrations how you can
build end-to-end data preparation and machine learning (ML) workflows
using Amazon SageMaker Studio. First, we'll show you how you can use
Amazon SageMaker Studio to access data in a data lake managed with AWS
Lake Formation for fine-grained data access control.
Next, you'll learn how you can use Amazon SageMaker Studio to prepare data
for ML at scale using Apache Spark on Amazon EMR and AWS Glue interactive
sessions. Finally, you'll learn how you can use the prepared data to train
and deploy ML models, and easily scale your interactive notebook based
workflow to an automated scheduled job.
Speaker: Dhiraj Thakur, Senior Solutions Architect, Amazon Internet
Services Private Limited
Time: 2:00pm - 2:45pm
--------------------------------------------------------------------------------
Implementing MLOps practices using Amazon SageMaker
Machine learning operations (MLOps) tools help you automate, standardize,
and govern processes across the ML lifecycle to productionize ML models
faster and maintain model quality in production. Amazon SageMaker provides
an enterprise level platform with a breadth of MLOps tools to train, test,
troubleshoot, deploy, and govern ML models at scale
In this session, learn how to quickly setup and standardize data science
environments as well as dive deep into Amazon SageMaker MLOps features,
including Amazon SageMaker Feature Store, Amazon SageMaker Pipelines,
Amazon SageMaker Projects, Amazon SageMaker Experiments, Amazon SageMaker
Model Registry, and Amazon SageMaker Model Monitor. Find out how you can
increase efficiency and improve the quality of your ML workflows.
Speaker: Gaurav Singh, Solutions Architect, Amazon Internet Services
Private Limited
Time: 2:45pm - 3:30pm
* AI Engineers and Scientist track
* Building more inclusive and responsible AI
Artificial intelligence (AI) and machine learning aid society in tackling
some of its most challenging problems, and help businesses improve
customer experience and spur innovation. With the growing use and scale of
AI comes the recognition that it should be used responsibly, respecting
human rights, human dignity, and fundamental values such as equity,
privacy, and fairness.
In this session, hear about the challenges and issues faced by
organizations that are working to put responsible AI principles AI
theories into practice.
Speaker: Rahul Sureka, Enterprise Solutions Architect, Amazon Internet
Services Private Limited
Time: 11:45am - 12:30pm
--------------------------------------------------------------------------------
Getting the most out of your data with search powered by machine learning
Data fuels innovation, and innovation helps organizations stay ahead of
the curve. Finding the right data at the right time is critical to
businesses in any industry.
Attend this session to learn how Amazon Kendra, an intelligent search
service powered by machine learning, can transform the way you discover
insights. Hear case studies that discuss how customers were able to create
a fully functional search application for better employee productivity and
exceptional customer experience.
Speaker: Vijai Gandikota, Senior Product Manager, AWS Kendra, Amazon Web
Services
Time: 12:30pm - 1:15pm
--------------------------------------------------------------------------------
Improving uptime with predictive maintenance for industrial equipment
Predictive maintenance is an effective way to avoid industrial machinery
failures and expensive downtime, by proactively monitoring the condition
of your equipment. It ensures that you are alerted to any anomalies before
equipment failures occur. However, this technology has been difficult to
implement.
In this session, learn how industrial customers are activating predictive
maintenance and avoiding downtime with AI services from AWS such as Amazon
Monitron, which requires no machine learning experience.
Speaker: Sudhanshu Hate, Principal AIML Specialist Solutions
Architect, Amazon Internet Services Private Limited
Time: 2:00pm - 2:45pm
--------------------------------------------------------------------------------
Expert talk on natural language processing
In this session, we discuss a question-answer based approach for medical
entity relationship extraction using sequence-to-sequence transformers.
Relationship extraction from different kinds of documents across business
domains can become non-trivial due to complex linguistic relations like
distance between entities, overlapping entities within a relationship
span, and of prohibitive annotation requirements. We present one of our
solutions that addresses these issues and produces state-of-the-art
results for extracting relation between adverse drug events (ADE) and
suspected drug, from various unstructured data sources including clinical
study reports, patient health records, and social media posts.
We also talk about a comparative study of post-hoc explanation methods for
human understandable text classification. Transformer-based models have
been successfully applied to many real-world text classification problems
with state-of-the-art performance. However, the opaque nature of these
models impedes deployment in highly regularized and sensitive domains such
as finance and health care where decision transparency is required. It is
therefore crucial to explain model decisions to users in such cases.
Though many explanation methods have been proposed in the past few years,
there lacks a thorough understanding of their performances and trade-offs
for the productionization of these methods.
Join this session, as we share our insights from a wide-range of
experiments to answer which algorithm to use for productionization,
considering practical issues such as robustness across models and
datasets, computational cost, and understandability for users.
Speakers:
* Atanu Roy, Senior Manager, ML Solutions Lab, Amazon Internet Services
Private Limited
* Tomal Deb, Data Scientist, ML Solutions Lab, Amazon Internet Services
Private Limited
Time: 2:45pm - 3:30pm
* AI and ML Stories track
* Accelerated RoBERTa deployment leveraging distributed training
RoBERTa is currently a pioneer in advancing self-supervised systems by
robustly optimizing the method for pre-training natural language
processing (NLP) systems that improve on BERT. Amazon SageMaker enables
customers to train, fine-tune, and run inference.
Join this session to learn how CACTUS Communications leveraged Amazon
SageMaker distributed training to train RoBERTa models.
Speakers:
* Praveen Jayakumar, AI/ML Solutions Architect Leader, India, AISPL
* Jalaj Thanaki, Principal Data Scientist, CACTUS Communication
Time: 11:45am - 12:30pm
--------------------------------------------------------------------------------
Observe.AI - Best way to host cost effective-high throughput language
models
Observe.AI offers a conversational AI-driven software as a service (SaaS)
product that transforms contact centers; by using AI to analyze customer
interactions across channels, boost agent performance, and automate
workflows that accelerate sales and retention. Language models like BERT
are core to the intelligence offered by Observe.AI. As part of their
journey to build a scalable, highly performant, and low-cost inferencing
platform, Observe.AI explored various solutions across AWS, open source,
and third party.
Join this session to learn how Observe.AI evaluated various solutions and
ported their model to AWS Inferentia for a cost-effective solution.
Speakers:
* Venkatramana Ameth Achar, Solutions Architect, Amazon Internet Services
Private Limited
* Sai Guruju, Senior ML Engineer, Observe.AI
Time: 12:30pm - 1:15pm
--------------------------------------------------------------------------------
Meesho leveraging AI & ML to solve e-commerce problems for next billion
users of India
Join this session to find out how Meesho is using AI and ML across the
e-commerce platform. Deep dive into representation learning based
retrieval to drive multi-staged ranking systems for recommendations across
real-estate. Get an overview of the deep learning models and the
architecture which powers these retrieval systems.
Speakers:
* Rajesh Kumar SA, Director of Data Science, Meesho
* Abhay Shukla, Data Scientist, Meesho
Time: 2:00pm - 2:45pm
--------------------------------------------------------------------------------
Fidelity Investments AI & ML platform journey
In this session, get to know how Fidelity Investments built an AI & ML
platform using Amazon SageMaker focusing on serverless MLOps to provide a
seamless customer experience and achieve operational success, without
building additional tooling for model monitoring. Learn about their use
case on Document processing and how they streamlined, optimized cost and
maintenance efforts by running the inference from Amazon SageMaker
platform.
Speakers:
* Avishek Pradhan, Director of Workplace Investing business, Fidelity
Investments
* Ramanathan Natarajan, Director Architecture, MLOps & Advanced
Analytics, Fidelity Investments
Time: 2:45pm - 3:30pm
* AI/ML for Business Applications track
* AI Impacts @ Yubi
Yubi (formerly known as CredAvenue) is a fully integrated debt financing
platform that helps discover, trade, execute, and fulfil debt solutions
for investors. They have over 2,300 corporates and 750 lenders on the
platform. They recently became a unicorn and have built their complete
tech stack on AWS. Data plays a major role in Yubi’s mission to change the
debt landscape in India, as they use it to solve complex problems.
Yubi has multiple varieties of data, ingested from both internal and
external sources. The rich public data that is available on enterprise
borrowers plays a fundamental role in their recommendation, match making,
and scoring engines. They also have collections applications that deal
with analysing user experience and compliance monitoring. They use MLflow
as a model repository and use Amazon SageMaker for model development and
deployment. They also use Amazon Textract to extract data from external
documents and use Amazon SageMaker Ground Truth for labelling. Through the
use of Amazon SageMaker, they have cut down by 50% the time spent by data
scientists on productionizing models.
Join this session to hear more about how Yubi leverages services provided
by AWS.
Speakers:
* Mathangi Sri, Chief Data Officer, Yubi (CredAvenue)
* Vivek Murugesan, Vice President, ML Engineering, Yubi (CredAvenue)
Time: 11:45am - 12:30pm
--------------------------------------------------------------------------------
Contact Center Intelligence on legacy on-premises telephony
Digital Risk, a mortgage BPM (business process management) subsidiary of
Mphasis Limited, India, uses on premises based legacy contact center
platforms. One of them is from Mitel Networks Corporation, which handles
thousands of calls per day. Through Contact Center Intelligence (CCI)
powered by AWS AI & ML stack, Digital Risk sought to transform their agent
experience and also gain insights for supervisors, analysts, and business
leaders. They were particular about having a voice platform-agnostic
intelligence layer which can be placed on top of any existing or new
contact center infrastructure. On-the-call knowledge management by agent
is simplified using NLP-powered search index with Amazon Textract and
Amazon Comprehend. Join this session to hear about Digital Risk's use of
AI & ML services from AWS.
Speakers:
* Ramanuj Vidyanta, AI & Machine Learning Strategy & Business Development
Specialist, Amazon Internet Services Private Limited
* Sanjiv Kumar Shrivastava, Vice President and Head of Technology,
Automation, Digital Transformation, Mphasis Limited
Time: 12:30pm - 1:15pm
--------------------------------------------------------------------------------
Building an AI & ML solution for fraud and risk management
A client had their machine learning workload divided between local and
AWS, with a lack of automation at every flow. The client wanted to fully
utilize AWS MLOps capabilities and automate their existing system with
minimal human intervention. The business impact – reducing manual
intervention in auto detection of fraud.
Join this session to learn how we incorporated entire Amazon SageMaker
pipelines to pre-process the large variety of their datasets, and build
the optimal model. We used in-built Amazon SageMaker algorithms to build
the model and save it into model registry along with CI/CD pipelines. Gain
insights on how we did this using multiple offerings from Amazon
SageMaker, including Amazon SageMaker processing jobs, Amazon SageMaker
Data Wrangler, and Amazon SageMaker Clarify.
Speakers:
* Bhavesh Goswami, CEO & Founder, CloudThat
* Dev P, CTO, Kisetsu Saison finance India Pvt. Ltd
Time: 2:00pm - 2:45pm
--------------------------------------------------------------------------------
Indecomm Global Services using Amazon Textract for document processing
automation
In the mortgage industry there is a huge amount of data and documents to
be collected. Physically managing and extracting the right information
from these documents is a challenging and time-consuming process. To solve
this problem, Indecomm Global services uses Amazon Textract and Amazon
SageMaker to automate documenting processing. They are able to process
thousands of documents in a very short time frame, extract relevant
information with a high level of accuracy, and initiate the next steps in
the process using this information.
Attend this session to learn more about how AWS services are leveraged by
the mortgage industry for document processing.
Speakers:
* Praveen Hosur Narayanagupta, Solutions Architect, Amazon Internet
Services Private Limited
* Dr. Harish B Kamath, SVP, Engineering, Indecomm Global Services
Time: 2:45pm - 3:30pm
BREAK (1:15PM - 2:00PM)
VIRTUAL BOOTH SHOWCASE (3:30PM - 5:00PM)
FEATURED SPEAKERS
VIKRAM ANBAZHAGAN
Director & General Manager, Amazon AI, Amazon Web Services
GURU BALA
Head of Specialist Solutions Architect, Amazon Internet Services Private Limited
AKANKSHA BALANI
AWS APJ Alliance Head @ Intel & Global AI, HPC GTM Lead, Intel
VAISHALI KASTURE
Director Enterprise Segment, AISPL
HARJYOT SONI
Director - Enterprise Support, AISPL
SUNDAR VG
Director, Business Development, AISPL
KUMARA RAGHAVAN
India Head of Startup Business, AISPL
SESSION LEVELS DESIGNED FOR YOU
LEVEL 100: INTRODUCTORY
Sessions are focused on providing an overview of AWS services and features, with
the
assumption that attendees are new to the topic.
LEVEL 200: INTERMEDIATE
Sessions are focused 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 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 .
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.
LEARN MORE ABOUT AI & MACHINE LEARNING ON AWS
--------------------------------------------------------------------------------
customers use AWS for machine learning
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Leader in IDC MarketScape: Vision Artificial Intelligence Software Platform 2021
Vendor Assessment
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increase in team productivity using Amazon SageMaker
Learn more »
reduction in data labeling costs using Amazon SageMaker
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of all deep learning projects in the cloud run on AWS
Learn more »
--------------------------------------------------------------------------------
Frequently Asked Questions
* Where is Amazon AI Conclave Online hosted?
Amazon AI Conclave Online is an online conference.
* Who should attend Amazon AI Conclave Online?
Whether you are getting started with AI/ML, an advanced user, a business
executive, or curious about AI/ML, we have a specific track for your level of
experience and job role.
* Are there sessions in other languages?
All content will be in English.
* What is the price of attending Amazon AI Conclave Online?
Amazon AI Conclave Online is a free online conference.
* How can I contact the online conference organizers?
If you have questions that have not been answered in the FAQs above, please
email us.
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