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

O'Reilly on Data

The Strata Data Award is given to the most disruptive startup, the most innovative industry technology, the most impactful data science project, and the most notable open source contribution. Watch " Winners of the Strata Data Awards 2019.". Forecasting uncertainty at Airbnb.

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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. 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.

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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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Marsh McLennan IT reorg lays foundation for gen AI

CIO Business Intelligence

One of the firm’s recent reports, “Political Risks of 2024,” for instance, highlights AI’s capacity for misinformation and disinformation in electoral politics, something every client must weather to navigate their business through uncertainty, especially given the possibility of “electoral violence.” “The

IT 122
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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below.

Modeling 210
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Apache Ozone Powers Data Science in CDP Private Cloud

Cloudera

Alternatively, let’s look at the trend of vaccinations in a few countries, along with a forecast of when the countries will reach the threshold of say 70% vaccinated. . def plot_vaccination_forecast (forecast, country, title): . forecast_holder = []. label="uncertainty"). forecast = model.predict(future) . toPandas().

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Marsh McLellan IT reorg lays foundation for gen AI

CIO Business Intelligence

One of the firm’s recent reports, “Political Risks of 2024,” for instance, highlights AI’s capacity for misinformation and disinformation in electoral politics, something every client must weather to navigate their business through uncertainty, especially given the possibility of “electoral violence.” “The

IT 105