Скачать с ютуб Making Machine Learning Predictions Easily Accessible to Business Teams - AWS Online Tech Talks в хорошем качестве

Making Machine Learning Predictions Easily Accessible to Business Teams - AWS Online Tech Talks

Traditionally, getting ML predictions from trained models into a BI tool used by business teams requires substantial heavy lifting. You have to write code to ETL the data into Amazon Simple Storage Service (Amazon S3), call the inference API to get the predictions, ETL the model output from Amazon S3 to a queryable source, orchestrate this process whenever new data is available, and repeat the workflow for every new model. In this tech talk, learn how data scientists, ML, and data engineers can easily use Amazon QuickSight’s integration with Amazon SageMaker and automate the entire data movement and ML inference pipeline, enabling access of their ML models to new business users within their organizations. Learning Objectives: *Learn how SageMaker users can use QuickSight for ML predictions and grant access to business teams *Learn how data scientists and data engineers can integrate ML into BI tools *Learn how business analysts can do data science using QuickSight ***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/blogs/machine-... Subscribe to AWS Online Tech Talks On AWS: https://www.youtube.com/@AWSOnlineTec... Follow Amazon Web Services: Official Website: https://aws.amazon.com/what-is-aws Twitch:   / aws   Twitter:   / awsdevelopers   Facebook:   / amazonwebservices   Instagram:   / amazonwebservices   ☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS. #AWS