Deploy an ML model for best performance, cost, and prediction quality - AWS Online Tech Talks

High performance and cost-effective deployment techniques can help you maximize the return on your machine learning investments. ML engineers, join us for a hands-on demo showing how to use Amazon SageMaker to optimize inference workloads and reduce infrastructure costs. Learning Objectives: Objective 1: Discover how to easily deploy ML models for any use case. Objective 2: Learn how to achieve the best inference performance and cost. Objective 3: Find out how to reduce operational burden and accelerate time to value. ***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker/deploy/ 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