Remove 2012 Remove Data Collection Remove Optimization Remove Risk
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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

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Unintentional data

The Unofficial Google Data Science Blog

Implicitly, there was a prior belief about some interesting causal mechanism or an underlying hypothesis motivating the collection of the data. As computing and storage have made data collection cheaper and easier, we now gather data without this underlying motivation. Be skeptical, intellectually honest.

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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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Global Multichannel Consumer Behaviour (Research/Purchase) Analysis

Occam's Razor

The cost of failure in the offline world is so high that even when the cost of failure is low (online), they don't want to take the smallest risk. The data was collected in the first part of 2012, between January and May for the Barometer and between January and February for the Enumeration. We don't.

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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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Data Science, Past & Future

Domino Data Lab

Coming into the 2010s, we had data science practice, we had evolution of big data tooling, we had a lot more sophisticated use of the big data and what was going on in the cloud. I went to a meeting at Starbucks with the founder of Alation right before they launched in 2012, drawing on the proverbial back-of-the-napkin.

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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. Tara , for instance, is a “top OFAC / AML expert who is laser-focused on keeping your transactions risk-free.”