AI Weekly: Highlights from VentureBeat’s AI conference Transform

  • “Developing an data strategy should come before considering AI for your business
  • If you “don’t have top-down support and understanding for bottom-up initiatives, you’re going to fail miserably because there’s going to be … a longer timeline for ROI.”
  • Accelerating scale of compute use is “what keeps me up at night.” Advances in optimization and software will be essential to the future of AI, he  said. OpenAI found that compute necessary for state-of the-art results has grown 10 times annually since 2012.
  • Google Cloud Platform AI head Andrew Moore urged developers to skip job offers from companies that have trouble articulating their purpose.”

https://www.google.com/amp/s/venturebeat.com/2019/07/12/ai-weekly-highlights-from-venturebeats-ai-conference-transform/amp/

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/