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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. This method uses GZIP compression to optimize storage consumption and query performance. Use DeviceId as an additional prefix to write the objects to the bucket.

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Global Multichannel Consumer Behaviour (Research/Purchase) Analysis

Occam's Razor

My goal is to get them excited about creating an amazing digital acquisition strategy that delivers noteworthy experiences through their owned digital platforms, and which ultimately delivers bigger profits (usually offline, but online as well). But they are just scratching the surface of what's possible.

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Hitting the Gym With Neural Networks: Implementing a CNN to Classify Gym Equipment

Insight

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). Let’s train a CNN with fake data! I was familiar with the strategy of using data augmentation techniques (such as flipping, shearing, zooming, etc.)

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

Our team of data scientists and software engineers in Search Infrastructure was already engaged in a particular type of forecasting. They can arise from data collection errors or other unlikely-to-repeat causes such as an outage somewhere on the Internet.

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Themes and Conferences per Pacoid, Episode 7

Domino Data Lab

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

While data and analytics are nothing new to the Olympics — they’ve been used in some form or another for many, many years — what is new is the importance of using data to manage the evolving changing models for delivery of the Games,” Chris says. >>>Infused Using data to create a more modern Olympics.

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Top 24 RPA tools available today

CIO Business Intelligence

When possible, EdgeVerve relies on AI to provide contextual help and process incoming forms and other data. The company also has systems optimized for industries such as supply chain management ( TradeEdge ) or banking. Teams can iterate over the workflows and explore hypothetical strategies with the Processing Mining tools.