- “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.”
“IBM said Tuesday that it would allow businesses to use some of IBM’s Watson-related software with underlying data that is stored in rival cloud data centers like Microsoft’s Azure and Amazon Web Services. Customers will also be able to use Watson with data stored in their own data centers.”
“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.”
“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.”
“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.”
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.”