Remove 2018 Remove Data-driven Remove Measurement Remove Uncertainty
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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Crucially, it takes into account the uncertainty inherent in our experiments. Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate.

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3 reasons why every real-time application needs AI

CIO Business Intelligence

By 2018, for example, the BBC knew that for every additional second a web page took to load, 10% of users would leave—and the media company was already building technical strategy and implementation accordingly. The former rely on batch processing to train machine learning models and generate features (measurable properties of a phenomenon).

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How sport made CIO 100 winner Joanna Drake a better technology leader

CIO Business Intelligence

As she climbed the ranks, taking on more senior technology roles at Diageo, Accenture, Yahoo, Betfair, BBC and Skyscanner before joining The Hut Group in 2018, she realised that her sports background could shape her leadership style. Such uncertainty means Drake’s focus is now on efficiency. “[My

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. But looking through the blogosphere, some go further and posit that “platformization” of forecasting and “forecasting as a service” can turn anyone into a data scientist at the push of a button.

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What Will Drive Innovation in this Great Reset

Andrew White

Emergency measures are undertaken with little planning. In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. AI and machine learning will help, along with other data and analytics capabilities. Data, analytics and AI.

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Fact-based Decision-making

Peter James Thomas

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A number of factors can play into the accuracy of data capture. Honesty of Data that is captured. Timing issues with Data.

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