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PODCAST: Exploring Data, Digital and Artificial Intelligence through a Holistic Lens

bridgei2i

A Masters in Quantitative Economics from the Indian Statistical Institute (ISI), Calcutta, Prithvijit founded BRIDGEi2i in May 2011. Pritam Kanti Paul, CTO and Co-Founder of BRIDGEi2i Analytics, is a Gold Medalist in his batch of Masters in Statistics at the Indian Statistical Institute Calcutta.

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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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4 Key Elements of Enterprise AI Strategy

bridgei2i

A Masters in Quantitative Economics from the Indian Statistical Institute (ISI), Calcutta, Prithvijit founded BRIDGEi2i in May 2011. Pritam Kanti Paul, CTO and Co-Founder of BRIDGEi2i Analytics, is a Gold Medalist in his batch of Masters in Statistics at the Indian Statistical Institute Calcutta.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management

bridgei2i

By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. He has delivered hundreds of millions of dollars of impact to his clients in High-Tech CPG and Manufacturing Industries, particularly in the areas of demand forecasting, inventory and procurement planning. Transcript.

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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. Forecasting (e.g. The other systems were written to do "forecasting at scale," a phrase that means something different in time series problems than in other corners of data science. by STEVEN L.

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. While SR 11-7 is prescriptive in its guidance, one challenge that validators face today is adapting the guidelines to modern ML methods that have proliferated in the past few years.

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The Definitive Guide To (8) Competitive Intelligence Data Sources!

Occam's Razor

Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? For example, with Alexa , you can report on traffic statistics (such as rank and page views), upstream (where your traffic comes from) and downstream (where people go after visiting your site) statistics, and key-words driving traffic to a site.

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