The Unofficial Google Data Science Blog

APRIL 17, 2017

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.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. AI models can be designed to detect anomalies in real-time site performance data.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

Occam's Razor

OCTOBER 14, 2014

If you want to learn about how to do simple forecasting and trend analysis, please see the official forecast function in Excel post on the Microsoft website, and this handy tutorial on trend lines and forecasting in excel. Just skip the we can give you data and benchmarks on performance bits. Competitor Data Benchmarks.

Key Performance Indicator 135

Key Performance Indicator Metrics Reporting Marketing 135

Cloudera

NOVEMBER 9, 2018

billion in 2014. Frost & Sullivan forecasts global spending on technologies that enable safe cities to reach US$85 billion by 2020, 24 percent of which will come from Asia Pacific. Cost-effectively ingest, store and utilize data from all IoT devices. IoT opens doors to threats.

IoT 57

IoT Machine Learning Internet of Things Data Collection 57

Domino Data Lab

FEBRUARY 4, 2019

These two points provide a different kind of risk management mechanism which is effective for science, specifically data science. Of course, some questions in business cannot be answered with historical data. Instead they require investment, tooling, and time for data collection.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66