Remove Events Remove Forecasting Remove Uncertainty
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Highlights from the Strata Data Conference in San Francisco 2019

O'Reilly on Data

Below you'll find links to highlights from the event. Forecasting uncertainty at Airbnb. Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform. Watch " Forecasting uncertainty at Airbnb.". Watch highlights from expert talks covering AI, machine learning, data analytics, and more.

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

The Unofficial Google Data Science Blog

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

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insightsoftware Acquires Event 1 Software

Jet Global

. – July 16, 2020 – insightsoftware , a global provider of enterprise software solutions for the Office of the CFO, today announced it has acquired Event 1 Software , a provider of intelligent, Excel-based reporting solutions. About Event 1 Software. Terms of the deal were not disclosed. Based in Vancouver, Wash.,

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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

All models, therefore, need to quantify the uncertainty inherent in their predictions. Errors in analysis and forecasting may arise from any of the following modeling issues: using an inappropriate functional form, inputting inaccurate parameters, or failing to adapt to structural changes in the market. How realistic is that?

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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.

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AES enlists AI to boost its sustainable energy business

CIO Business Intelligence

-based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market. million in its first year, contributed a $5.5

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