Autodesk, a leading company in 3D design, engineering, and entertainment software, produces software for the architecture, construction, engineering, manufacturing, and entertainment industries. Created in 1982, the company has continued to innovate in the decades since now offering subscription software services to more than 100 million customers worldwide.
In this video, Yathaarth Bhansali, principal engineer of the Data Science team at Autodesk, shares how Autodesk built a platform that enables development and deployment of near-real time personalization experiments by modeling and responding to user behavior data. Tailoring the experience for individual users is an essential part of effective, modern web platforms. Autodesk built on Amazon Web Services (AWS), including Amazon SageMaker, Amazon Kinesis, and Amazon API Gateway, to unlock the potential of its data to deliver a dynamic, personalized experience for its customers. In doing so, Autodesk has improved observability and the user experience for hundreds of thousands of Autodesk customers.
We get more observability and more insights into what our customers want. And we can derive and learn from their behavior and serve them better in terms of providing them the dynamic experience."
Principal Engineer, Data Science Team, Autodesk
AWS Services Used
Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and voice-assisted devices.
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Amazon Kinesis cost-effectively processes and analyzes streaming data at any scale as a fully managed service. With Kinesis, you can ingest real-time data, such as video, audio, application logs, website clickstreams, and IoT telemetry data, for machine learning (ML), analytics, and other applications.
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Amazon API Gateway
Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale.
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