2003 Forecasting Machine Learning 
The Unofficial Google Data Science Blog
DECEMBER 4, 2019
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.
bridgei2i
MAY 26, 2020
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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CIO Business Intelligence
MARCH 9, 2022
Based in Abu Dhabi and in operation since 2003, in recent years Etihad has used a data lake and a unified set of AI-driven analytics tools to optimise staffing, the handling of passengers, and responses to customer inquiries. Using the Dataiku platform, Etihad built a forecasting system to model and predict passenger arrivals.
Andrew White
APRIL 22, 2020
They will need to learn how to make such decisions in this landscape: from survival toward healing; the slow and gradual re-starting of economic and social activities; planning is now possible; new platforms will emerge to a) monitor for relapses toward crisis, and b) preservation of resilience capabilities.
IBM Big Data Hub
OCTOBER 30, 2023
Even within imperfect political realities, public health organizations around the world can learn and emulate Canada’s response through data modernization, potentially saving millions of lives in the next public health emergency. Lesson 7: Use storytelling to engage stakeholders and the public.
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