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Mastering Customer Experience Metrics (Infographic)

Customer Experience Matters

png format, in .pdf pdf format 18? As an organization’s customer experience efforts mature, CX metrics become a critical guidepost for all of its activities. You can see different ways to download this infographic below. Here are links to download different versions of the infographic: Infographic: in .png poster: in .jpg

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Implement smart document search index with Amazon Textract and Amazon OpenSearch

AWS Machine Learning

Documents in PDF, TIFF, JPEG or PNG format are put in an Amazon Simple Storage Service ( Amazon S3 ) bucket and subsequently indexed into OpenSearch using this Step Functions workflow. The graph below shows an initial test at 18:00 followed by the main ingest at 21:00 and all done by 2:30. hours in the US East (N.

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Employee Engagement: A Goldmine of Untapped Value (Infographic)

Customer Experience Matters

png format, in .pdf pdf format 18? In other words, you can’t be customer-centric unless you have a highly engaged workforce. Make sure to visit our Employee Engagement Page. Here are links to download different versions of the infographic: Infographic: in .png poster: in .jpg jpg format, in .pdf

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Building A Strong Voice of The Customer Program (Infographic)

Customer Experience Matters

png format, in .pdf pdf format 18? Make sure to visit our VoC/NPS Resource Page for more help in building your VoC program. Here are links to download different versions of the infographic: Infographic: in .png poster: in .jpg jpg format, in .pdf

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Propelling Experience Design (Infographic)

Customer Experience Matters

jpg format 18? png format Here are some of the reports with data included in the infographic: Propelling Experience Design Across The Organization 2018 Temkin Emotion Ratings State of CX Management, 2018. This infographic provides an overview. Here are links to download different versions of the infographic: Infographic: in .jpg

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Monitoring Lake Mead drought using the new Amazon SageMaker geospatial capabilities

AWS Machine Learning

In less than 2 years, Lake Mead’s surface area decreased from over 300 km 2 to less than 250 km 2 , an 18% relative change. /masks/lake_mead_overlay" os.makedirs(overlay_dir, exist_ok=True) lake_areas = [] mask_dates = [] for image_file, mask_file in zip(image_files, mask_files): image_id = image_file.split("/")[-1].split("_TCI")[0]

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Using Amazon SageMaker with Point Clouds: Part 1- Ground Truth for 3D labeling

AWS Machine Learning

A2D2 provides 18 of these scenes for us to train on, which are all identified by unique dates. png │ │ │ ├── 20180807145028_lidar_frontcenter_000000091.json png │ │ │ ├── 20180807145028_lidar_frontcenter_000000380.json png │ │ │ ├── 20180807145028_lidar_frontcenter_000000380.png npz │ │ │ ├──. npz │ │ │ ├──.