Tag: Cloud Computing
Creme Global Prize for High Performance Computing
Students from Trinity College Dublin have been awarded with the Creme Global Prize for High Performance Computing.
Assessing the Safety of Novel Personal Care and Cosmetic Products
Creme Global's latest releases of the Creme RIFM and Creme Care & Cosmetics, our unique cloud computing services for assessing fragrances and ingredients in personal care and cosmetics products, incorporate a new feature to assess the impact of novel products.
New Release - Creme RIFM - Aggregate Exposure Modelling (v1.0)
After a successful completion of our private test (beta) phase, we are delighted to announce the full release of the Creme RIFM Aggregate Exposure Modelling v1.0 (Software and Cloud Computing Service).
Cloud Computing for Predictive Intake Modelling at Creme Global
The past 3-4 years have seen a rapid emergence of Cloud Computing as a powerful new way to provide computing infrastructure and software services. It seems that everyone, and everything, is now “on the Cloud”.
Monte Carlo or Bust?
UK-based readers of a certain age may remember a weather forecast that gained notoriety for the reporter, who reassured viewers that rumours of an impending hurricane were unfounded.
Big Data, Predictive Analytics and Creme Global
Review of Enterprise Ireland Big Data Workshop
Creme Global to Present at Big Data Workshop
The volume of data now available to companies is increasing exponentially. Customers, competitors, consumers, governments, EU and analysts are generating data from mobile devices, PC’s, servers, research labs and Cloud sources. The companies that can analyse this data to produce useable information will have a significant competitive advantage.
From Data Pains to Data Chains
I recently presented at the Global Food Safety Conference in Dublin, Ireland on the topic "Modelling Variability in the Supply Chain for Chemical and Microbial Risk Assessment". When researching this topic, I was struck by the way in which the various models we develop at Creme involve chaining disparate data sets together. This became the theme of my presentation.