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

John Wheeler

MARCH 6, 2019

It has been 5 years since Gartner embarked on the journey to enhance our coverage of the risk management technology marketplace. That journey included in-depth survey research and countless interactions with our end-user clients to understand their need to better manage strategic, operational and IT/cybersecurity risks.

Risk Management 77

Risk Management Risk Data-driven Marketing 77

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. Ultimately, enabling real-time monitoring of site activities and enrollment progress could prompt timely mitigation actions ahead of time.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

Smart Data Collective

JULY 2, 2019

Faced with the possible risk of being hacked, Schoklitsch defends that there is a “high degree of security” and that all the data is stored in a Tier IV data server CPD (Data Processing Center) – a classification that guarantees to face the worst technical incidents without ever interrupting the availability of the servers.

Data Analytics 76

Data Analytics Internet of Things Analytics Big Data 76

Cloudera

NOVEMBER 9, 2018

While such a city might sound like a utopian dream, it could potentially turn into a dystopian nightmare if we overlook the risks brought about by the rise of smart cities. billion in 2014. Reflect back on the recent SingHealth breach in Singapore, in which non-medical personal data of 1.5 IoT opens doors to threats.

IoT 57

IoT Machine Learning Internet of Things Data Collection 57

Smart Data Collective

JULY 28, 2022

Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology. The evidence demonstrating the effectiveness of predictive analytics for forecasting prices of these securities has been relatively mixed. Many experts are using predictive analytics technology to forecast the future value of bitcoin.

Predictive Analytics 137

Predictive Analytics Analytics Forecasting Machine Learning 137

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. The ability to measure results (risk-reducing evidence). Legal concerns, risk, compliance. So far, I count four different teams and titles across the organization.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66