Remove 2006 Remove Forecasting Remove Modeling
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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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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. Clearly, a map will not be able to capture the richness of the terrain it models.

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How Nvidia became a trillion-dollar company

CIO Business Intelligence

It was when Nvidia reported strong results for the three months to April 30, 2023, and forecast that its sales could jump by 50% in the following fiscal quarter, that its stock market valuation soared, catapulting it into the exclusive trillion-dollar club alongside well-known tech giants Alphabet, Amazon, Apple, and Microsoft.

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insightsoftware acquires Exago, Bolstering Market Leadership in Embedded Analytics

Jet Global

Exago’s platform serves hundreds of loyal customers including Walmart, Deloitte, Lockheed Martin, Datto, Kronos-UKG, Transactis-Mastercard, DealerSocket, Vivify Health, and KPMG who now benefit from Logi Analytic’s leading portfolio of intuitive, developer-grade analytics and cost-effective pricing models. Learn more at insightsoftware.com.

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Public cloud vs. private cloud vs. hybrid cloud: What’s the difference?

IBM Big Data Hub

Today, these three cloud architecture models are not mutually exclusive; instead, they work in concert to create a hybrid multicloud—an IT infrastructure model that uses a mix of computing environments (e.g., on-premises, private cloud, public cloud, edge) with public cloud services from more than one provider.

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Accelerating VMware’s growth

CIO Business Intelligence

Unlocking VMware’s potential Broadcom’s business model and its decades of focus on R&D combined with VMware’s core technology and superb talent will be the catalysts that will enable VMware to capture the growth opportunity in front of it. He has held this position since March 2006. To learn more, visit Broadcom.

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Fitting Bayesian structural time series with the bsts R package

The Unofficial Google Data Science Blog

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. Forecasting (e.g. by STEVEN L.