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. AI can also empower trial managers and executives with the data to make strategic decisions. To do so they require data, which is in no shortage.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

Jedox

OCTOBER 8, 2020

Though only twelve years ago, it truly highlighted the difference between possibility and probability and the danger and impact of tail risk. The oil collapse of 2014 is another example of the importance of scenario planning. The oil collapse of 2014 is another example of the importance of scenario planning.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

bridgei2i

JULY 28, 2020

It is my immense pleasure to introduce you all to our guest today Ria Persad, she’s named as international woman of the year by Renewable Energy World in power engineering in 2013 and the lifetime achievement leader by Platts Global Energy awards in 2014. More efficient, more scalable systems are going to be able to handle more data.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

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. Reflect back on the recent SingHealth breach in Singapore, in which non-medical personal data of 1.5 billion in 2014. IoT opens doors to threats.

IoT 57

IoT Machine Learning Internet of Things Data Collection 57

Sisense

FEBRUARY 24, 2021

Whatever a company does, how it uses data is a key differentiator in its success or failure. Whether that data is generated internally or gathered from an external application used by customers, organizations now use on-demand cloud computing resources to make sense of the data, discover trends, and make intelligent forecasts.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66