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Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

AWS Machine Learning

It has applications in areas where data is multi-modal such as ecommerce, where data contains text in the form of metadata as well as images, or in healthcare, where data could contain MRIs or CT scans along with doctor’s notes and diagnoses, to name a few use cases.

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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

AWS Machine Learning

The player data was used to derive features for model development: X – Player position along the long axis of the field Y – Player position along the short axis of the field S – Speed in yards/second; replaced by Dis*10 to make it more accurate (Dis is the distance in the past 0.1

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October Telecom Conference Coverage 2019

Spearline

and data-driven” with wearables , body computing , Big Data , V.R., giving humanity the opportunity to rethink and imagine healthcare and Telemedicine. Qualcomm also further pushing towards 5G, wearables, automotive Industry at MWC Barcelona 2019. based pre-5G technology on the Vodafone Idea network.

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Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

AWS Machine Learning

However, the sharing of raw, non-sanitized sensitive information across different locations poses significant security and privacy risks, especially in regulated industries such as healthcare. Limiting the available data sources to protect privacy negatively affects result accuracy and, ultimately, the quality of patient care.

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Microsoft Envision Conference: Digital Transformation #ENV16

Natalie Petouhof

Tweet Among the many stories at Microsoft Envision Conference were those around digital transformation.

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10 Examples of Human-Centered AI

SmartKarrot

Quicker advancements in healthcare. Healthcare is not just data-intensive; it also has a steady requirement for ways that enhance and speed up its processes. Human-Centered AI is bringing newer efficiencies to the world of healthcare and is thus simplifying the lives of patients, doctors, and other healthcare professionals.

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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning

Data Lake Architect with AWS Professional Services. She is passionate about solving customer pain points processing big data and providing long-term scalable solutions. Prior to this role, she developed products in internet, telecom, and automotive domains, and has been an AWS customer.

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