The Pentateuch consists of the first five books of the OT:
Optimizing Racing with Machine Learning Using historical race data collected from cars over the past 65 years, Formula 1 data scientists are training deep-learning models that make race predictions and help teams optimize mid-race decisions.
The models can predict when teams should pit their cars, determine the best timing for changing tires, and evaluate how drivers are performing. Bringing Fans onto the Track Formula 1 then uses AWS data streaming, analytics, and media services to deliver insights about driver decisions and car performance to its more than million fans.
Building for the Future Because Formula 1 runs its high-performance computing workloads in a scalable environment on AWS, the organization can innovate on the Formula 1 racing experience, car design, and more without worrying about capacity.
In an effort to build the features its customers wanted as quickly as possible, the company chose to pursue AWS. To address these needs, Capital One built a cloud-risk framework and established a cloud-governance function before moving a single workload to AWS.
Key to the Cloud Capital One offers a cloud training program to engineers who work directly on AWS as well as non-technical stakeholders who need to be able to advocate for the power of cloud computing. The company now ranks in the top three of all enterprises globally for AWS certifications held by employees.
Realizing the Benefits of the Cloud Using AWS, Capital One brings new products to market in weeks instead of months or years, uses machine learning to improve customer experience, and attracts top developers and engineers—all of which help the company achieve its most important goal: Empowering Developers By using Amazon SagemakerMLB is empowering its developers and data scientists to quickly and easily build, train, and deploy machine-learning models at scale.
Lightening the Load These models help MLB eliminate manual, time-intensive processes associated with recordkeeping and statistics, like scorekeeping, capturing game notes, and classifying pitches.
Personalizing the Game MLB plans to work with the Amazon ML Solutions Lab to continue improving Statcast—its tracking technology that analyzes player performance—including testing accuracy of pitch predictions and creating personalized viewer experiences.
The organization plans to use Amazon Comprehend to build a language model that could create scripts for live games that simulate iconic announcers. Learn More Real-Time Container Tracking Matson built a flagship mobile application for global container tracking that allows customers to perform real-time tracking of their freight shipments.
Other valuable features in the application include interactive vessel schedule searching, location-based port map lookups, and live gate-camera feeds. This provides highly available edge located endpoints for access into resources within Matson's existing virtual private clouds.
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