Intuit is all in on AWS and uses a wide breadth of AWS services to provide the elasticity it needs to handle highly seasonal traffic patterns. Since 2013, Intuit has moved its infrastructure, applications, data, and machine learning capabilities to AWS.
Intuit explores machine learning as it seeks to make arduous tasks, like filing taxes, easy and even delightful for its customers.
Using Amazon SageMaker, Intuit has reduced the cost and the time needed to deploy machine learning models. Data scientists can now create a model and scale it out to many servers, and what used to take six months now takes one week.
By empowering its data scientists, Intuit continues to develop and enhance products to serve its mission: to power prosperity for its customers around the world.
Stereoscopic cameras gather data about players on the field 30 times a second, while a Doppler radar system gathers data about the ball 2,000 times a second.
'The black box' for MLB, Amazon EC2 takes the data coming from both field data collection systems (Doppler radar tracks the ball, 3D cameras track the players) and correlates it.
Amazon DynamoDB powers queries and supports the fast data retrieval required for near real-time analysis.
MLB Statcast provides detailed analysis of the outcomes of a play, including exit velocity of the ball, player reaction time, and top running speed.
Matson built a flagship mobile application for global container tracking that allows customers to perform real-time tracking of their freight shipments. Other valuable features in the application include interactive vessel schedule searching, location-based port map lookups, and live gate-camera feeds.
All mobile devices access AWS via Amazon API Gateway. This provides highly available edge located endpoints for access into resources within Matson's existing virtual private clouds.
The AWS Lambda functions are designed using the microservices pattern and are modeled around specific ocean-based business contexts, such as shipment tracking and vessel schedules.
Amazon DynamoDB manages configuration as well as user-feedback configuration and user-feedback notifications sent from mobile devices. DynamoDB Streams provides real-time notifications to Matson's customer service team.
Matson's customers rely on accurate, up-to-the-minute container tracking and vessel status information. Monitoring and alerting of system events is achieved by using Amazon CloudWatch, Amazon SNS, Amazon SES, AWS Lambda, and CloudWatch Logs.
Matson can now offer customers an end-to-end serverless application to help track their shipments, and has no infrastructure to maintain.
The Roomba 900 series completes a cleaning mission in the home and returns to the dock for charging.
iRobot processes the home map, calculates the total floor space cleaned and the status code for the cleaning mission, and publishes the metadata to AWS IoT.
iRobot uses an AWS IoT rule to put the message into an Amazon Kinesis stream. From Kinesis, iRobot can process the cleaning mission data. Kinesis allows multiple teams to receive the stream of data.
AWS Lambda receives the cleaning mission metadata and parses the format to Amazon DynamoDB. Amazon Kinesis batches the mission data and stores it in Amazon S3. Amazon S3 is used as the iRobot data lake for analytics, where all message data is compressed and stored. Once the data is in Amazon S3, iRobot uses the AWS Analytics toolset. Amazon Athena allows iRobot to explore and discover patterns in the data without having to run compute resources all the time.
The cleaning mission is stored in Amazon DynamoDB and linked to a specific robot and consumer.
The consumer gets an alert that informs them of a successful Roomba 900 series cleaning mission.
BP's IT organization manages SAP applications used by thousands of employees worldwide for supply chain, procurement, finance, and more.
To improve speed and gain cost agility, BP used Amazon EC2 to migrate these core business apps to the cloud. In addition, the team built EC2 X1 instances to increase scale and to power their real-time analytics.
The team can now stand up systems on demand in hours instead of weeks or months. BP is seeing performance increases across the board, including a 40 percent speed improvement for the Lubricants ERP system.
As part of its cloud migration, BP reset its security standards using AWS Config, AWS Identity and Access Management (IAM), Amazon CloudWatch, and AWS Trusted Advisor. These new standards helped BP to develop a secure framework for operating its IT organization.
US East
N. Virginia (6), Ohio (3)
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N. California (3), Oregon (3)
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Beijing (2), Ningxia (3)
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Frankfurt (3), Ireland (3), London (3), Paris (3)
South America
São Paulo (3)
AWS GovCloud (US-West) (3)
Bahrain
Hong Kong SAR, China
Sweden
AWS GovCloud (US-East)
