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BEGIN:VEVENT
UID:3591084c2a226ef505a8d9fd237fd58ab13b32d9@swoogo.com
DTSTAMP:20260813T001214Z
DESCRIPTION:AI/ML is changing the way media companies produce and distribut
 e content. In this workshop\, we review many of the ways AI/ML can be appl
 ied throughout the entire media production and distribution process. We bu
 ild an end-to-end metadata enrichment workflow that extracts meaningful me
 tadata from content (audio\, video\, and images). We then build a solution
  that uses Amazon Rekognition\, Amazon SageMaker\, Amazon Transcribe\, Ama
 zon Comprehend\, and Amazon Mechanical Turk to analyze content\, and we us
 e it to enrich a viewing experience and assist with compliance. We also bu
 ild and train a custom object detection model\, which will be used to augm
 ent the data that Amazon Rekognition provides. We cover all aspects of AI/
 ML-based metadata generation\, from labeling a dataset\, to training and h
 osting a model\, all the way to validating the metadata prior to playout.
DTSTART:20191021T233000Z
DTEND:20191022T003000Z
LAST-MODIFIED:20260813T001214Z
LOCATION:Sacramento Room
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:Enhancing Media Workflows with Machine Learning - Part 2
TRANSP:OPAQUE
X-ALT-DESC;FMTTYPE=text/html:AI/ML is changing the way media companies prod
 uce and distribute content. In this workshop\, we review many of the ways 
 AI/ML can be applied throughout the entire media production and distributi
 on process. We build an end-to-end metadata enrichment workflow that extra
 cts meaningful metadata from content (audio\, video\, and images). We then
  build a solution that uses Amazon Rekognition\, Amazon SageMaker\, Amazon
  Transcribe\, Amazon Comprehend\, and Amazon Mechanical Turk to analyze co
 ntent\, and we use it to enrich a viewing experience and assist with compl
 iance. We also build and train a custom object detection model\, which wil
 l be used to augment the data that Amazon Rekognition provides. We cover a
 ll aspects of AI/ML-based metadata generation\, from labeling a dataset\, 
 to training and hosting a model\, all the way to validating the metadata p
 rior to playout.
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