Second Spectrum and L.A. Clippers Select Aws As Official Cloud and Machine Learning Provider of Clippers CourtVision

  • “Today, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced that AWS is now the primary cloud computing, machine learning, and artificial intelligence provider of Clippers CourtVision, the live, augmented game-watching platform created by the Los Angeles (L.A.) Clippers and Second Spectrum, the official video tracking technology provider for the NBA.
  • In addition, Clippers CourtVision will test Amazon SageMaker to build, train, and deploy machine learning-driven stats which will appear on live broadcasts and on-demand NBA game videos.
  • “The combination of cloud computing and machine learning has the potential to fundamentally redefine how fans experience the sports they love,” said Mike Clayville, Vice President, Worldwide Commercial Sales, AWS.”

https://www.google.com/amp/s/www.nba.com/amp/clippers/second-spectrum-clippers-select-aws-as-official-cloud-machine-learning-provider-clippers-courtvision

Amazon’s Cloud arm helping Indian businesses drive innovation via AI, ML

“Amazon Rekognition APIs (application programming interface), particularly ‘DetectFaces’, provide rich image metadata that we can use to apply our business-specific quality guidelines to. Utilising information such as number of faces, size of faces, and estimated age range, we were able to remove photo-level manual curation work entirely,” said Sumesh Menon, Co-Founder of Woo.

Manaktala said that ML is also helping AWS better understand the customer needs, helping them secure their data. “The pace of innovation, in spite of our size, is tremendous,” Manaktala added.

With services such as Amazon “SageMaker”, the company also allows developers and data scientists to build, train and deploy Machine Learning models.”

https://www.google.com/amp/s/retail.economictimes.indiatimes.com/amp/news/e-commerce/e-tailing/amazons-cloud-arm-helping-indian-businesses-drive-innovation-via-ai-ml/67140866

Capital One’s ‘all-in’ cloud strategy is much more than a tech decision

“Yes, you get your infrastructure from a cloud provider. But you also implement agile development practices. You implement DevOps deployment methods. And you use SRE operations processes. The overall approach is often called cloud-native. We all know cloud-native companies, because we use them every day. Netflix. Spotify. Lyft. Airbnb. It’s no accident that cloud-native and disruption go hand-in-hand. Using the power of cloud-native practices, these companies force transformation into industries. And leaves traditional companies with no hopes of catching up.”

https://www.google.com/amp/s/www.techrepublic.com/google-amp/article/capital-ones-all-in-cloud-strategy-is-much-more-than-a-tech-decision/

Amazon updates SageMaker with new built-in algorithms and Git integration

Amazon’s been adding AI-focused features to Amazon Web Services, its cloud computing subsidiary, at a steady clip. Just this week, Amazon Transcribe and Comprehend — AWS’ automatic speech recognition (ASR) service and natural language processing service, respectively — gained support for real-time transcriptions and custom entities. And today, Amazon announced a bevy of improvements heading to SageMaker, its end-to-end platform for building, training, and deploying machine learning models.

https://www.google.com/amp/s/venturebeat.com/2018/11/21/amazon-updates-sagemaker-with-new-built-in-algorithms-and-git-integration/amp/

How Amazon’s retail revolution is changing the way we shop – theverge.com

Illustration by Aaron Robinson for The Verge

Today, thousands of products integrate with the company’s Alexa platform to make use of its voice search and query capabilities. Just as it once foresaw e-commerce, streaming, and cloud computing as the future of the internet, Amazon saw AI as not just something that could live within the smartphone — as Apple established with Siri and Google with its Assistant — but also in the home.

As it stands today, Amazon employs more than half a million people, more so than any other technology company in the country and second only to Walmart in the US. But the eventual result of its investments in robotics and AI is that technology’s biggest and fast-growing workforce could see that growth start to slow and, perhaps years down the line, even shrink as robots tackle ever more complicated tasks. In the process, the company may develop robots for use outside its fulfillment centers. Amazon has already changed how we shop and, by extension, how we live our lives. Its next big step could be changing how we work.

https://www.google.com/amp/s/www.theverge.com/platform/amp/2018/10/23/17970466/amazon-prime-shopping-behavior-streaming-alexa-minimum-wage

Amazon ups their game in artificial intelligence race

  • “Among Amazon’s AI announcements is Amazon SageMaker, which lets companies build and quickly train machine learning algorithms. It also announced Amazon Rekognition Video, which uses AI to detect objects and faces in customers’ video content; Amazon Transcribe, which turns audio into text; Amazon Translate, which translates text; and Amazon Comprehend, which analyzes text for sentiment and key phrases.
  • ‘We expect the big three to continue to play a game of leapfrog over the next several years as the enterprise moves from experimental to industrialization of AI and machine learning,” said Ken Corless, a principal in Deloitte Consulting’s cloud engineering practice. “Given their market share, AWS’s announcements are significant as they are signaling to the market that they will not cede this space to Microsoft or Google.'”
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