AWS re:Invent 2017

AWS re:Invent 2017

Podcast by AWS

AWS re:Invent 2017 Conference

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episode MCL211: NEW LAUNCH! Introducing Amazon Sumerian – Build VR/AR and 3D Applications artwork
MCL211: NEW LAUNCH! Introducing Amazon Sumerian – Build VR/AR and 3D Applications

AWS has launched Amazon Sumerian. Sumerian lets you create and run virtual reality (VR), augmented reality (AR), and 3D applications quickly and easily without requiring any specialized programming or 3D graphics expertise. In this session, we will introduce you to Sumerian, and how you can build highly immersive and interactive scenes for the enterprise that run on popular hardware such as Oculus Rift, HTC Vive, and iOS mobile devices.

01. jouluk. 2017 - 1 h 0 min
episode MCL340: NEW LAUNCH! Amazon Sumerian – A Deep Dive Behind the Scenes artwork
MCL340: NEW LAUNCH! Amazon Sumerian – A Deep Dive Behind the Scenes

AWS has launched Amazon Sumerian. Sumerian lets you create and run virtual reality (VR), augmented reality (AR), and 3D applications quickly and easily without requiring any specialized programming or 3D graphics expertise. In this session, we will dive deep into details about Sumerian so you can see what's under the hood. We will cover creating a project, using the visual state machine, connecting an Amazon Sumerian scene to AWS services, and using a Sumerian Host to add presence to your applications.

01. jouluk. 2017 - 36 min
episode MCL210: Machine Learning State of the Union artwork
MCL210: Machine Learning State of the Union

Join us to hear about our strategy for driving machine learning innovation for our customers and learn what's new from AWS in the machine learning space. Swami Sivasubramanian, VP of Amazon Machine Learning, will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe, and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.

01. jouluk. 2017 - 47 min
episode MCL317: Orchestrating Machine Learning Training for Netflix Recommendations artwork
MCL317: Orchestrating Machine Learning Training for Netflix Recommendations

At Netflix, we use machine learning (ML) algorithms extensively to recommend relevant titles to our 100+ million members based on their tastes. Everything on the member home page is an evidence-driven, A/B-tested experience that we roll out backed by ML models. These models are trained using Meson, our workflow orchestration system. Meson distinguishes itself from other workflow engines by handling more sophisticated execution graphs, such as loops and parameterized fan-outs. Meson can schedule Spark jobs, Docker containers, bash scripts, gists of Scala code, and more. Meson also provides a rich visual interface for monitoring active workflows and inspecting execution logs. It has a powerful Scala DSL for authoring workflows as well as the REST API. In this session, we focus on how Meson trains recommendation ML models in production, and how we have re-architected it to scale up for a growing need of broad ETL applications within Netflix. As a driver for this change, we have had to evolve the persistence layer for Meson. We talk about how we migrated from Cassandra to Amazon RDS backed by Amazon Aurora.

01. jouluk. 2017 - 54 min
episode MCL308: Using a Digital Assistant in the Enterprise for Business Productivity artwork
MCL308: Using a Digital Assistant in the Enterprise for Business Productivity

Enterprises must transform at the pace of technology. Through chatbots built with Amazon Lex, enterprises are improving business productivity, reducing execution time, and taking advantage of efficiency savings for common operational requests. These include inventory management, human resources requests, self-service analytics, and even the onboarding of new employees.  In this session, learn how Infor integrated Amazon Lex into their standard technology stack, with several use cases based on advisory, assistant, and automation roles deeply rooted in their expanding AI strategy. This strategy powers one of the major functionalities of Infor Coleman to enable their users to make business decisions more quickly.

01. jouluk. 2017 - 59 min
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