Big data

Big Data and AI in Healthcare: Dell EMC Healthcare Think Tank 2017

This year’s “think tank” event focused on the digital transformation of healthcare IT (#TransformHIT). It was an exciting time to be in the healthcare market with so many new technologies and innovations to help address modern-day challenges facing healthcare professionals today. As we advance through this world of digital transformation, things are going to be very different. Technology is going to be inherent in every part of healthcare and life

Philips and PathAI to improve breast cancer diagnosis with Artificial Intelligence

Philips and PathAI team up to improve breast cancer diagnosis using artificial intelligence technology in ‘big data’ pathology research. Royal Philips, a global leader in health technology, and PathAI, a company that develops artificial intelligence technology for pathology, are collaborating with the aim to develop solutions that improve the precision and accuracy of routine diagnosis of cancer and other diseases. The partnership aims to build deep learning applications in computational

The Amount Of Information That We Are Creating Is Increasing At An Incredible Speed

The amount of information that we are creating is increasing at an incredible speed. Professor Maria Fasli, Professor in the School of Computer Science and Electronic Engineering and the Director of the Institute for Analytics and Data Science (IADS), is explaining how we are going to manage this amount of information? “This is the display interface of the Apollo 11 computers. This is the mission that took man to the moon. The

Deep learning applications and challenges in big data analytics

Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific information, which can contain useful information about problems such as national intelligence, cyber security, fraud detection, marketing, and medical informatics. Companies such as Google and Microsoft are analyzing large volumes of data for business analysis and decisions, impacting existing