Implementing advanced analytics in your business means your data now takes a prominent place at the business table at the highest levels, and you need to have proper representation for it and your processes. You need to rethink the roles in your organization around your data, addressing new ways of managing, interpreting, and analysing vast ...

To optimize healthcare based on advanced data analytics and make sure clinicians have the right information available in time to impact patient outcomes, Montefiore has deployed Semantic Data Lake, a solution that brings together varied and vast amounts of raw data for deeper analysis to flag patients who are at risk or help clinicians identify ...

Health systems are using predictive analytics to develop and maintain data centers and the needed infrastructure to data analytics today and as data continues to grow. Take a closer look at five health systems’ interesting, data-driven population health initiatives. CMIOs weigh in and give expert opinions on data analytics in healthcare. By providing your contact ...

New technology and access to new data sources are helping healthcare provider organizations improve patient experiences and reduce costs. Gain insight on the Intel-commissioned survey of healthcare decision makers in the US and China. Learn how organizations are approaching advanced analytics and how organizations can use these systems to maximize ROI. By providing your contact ...

The true value of big data lies in the use of analytics tools, which range from basic business intelligence reporting to predictive analytics and machine learning. The falling cost of computing hardware enables broader access to these tools and the data they manage, which ultimately democratises data analysis as users catch on to the value ...

Read More to learn the strategies for evaluating your business needs, technical requirements, and ecosystem offerings before selecting a cloud service.

Neural network topologies are especially useful for big data analytics, machine learning, and predictive modeling. Traditional scripting languages, however, present certain difficulties for developers who want to leverage multithreaded processing and put neural networks to work addressing their business challenges. This white paper explains why neural networks are uniquely suited to analytics workloads and explores ...

This paper describes how cloud and big data technologies are converging to offer a cost-effective delivery model for cloud-based big data analytics. Read More..

This planning guide provides background information and practical steps for IT managers who want to plan and implement big data analytics initiatives. Including: Today’s IT landscape for big data and the challenges and opportunities associated with this disruptive force The importance of putting the right infrastructure in place for various use cases and for an ...

This article takes a look at the history of information, technology, beneficiaries of that technology and their relationship to data governance development over time. Innovation in business models, technology capabilities, and the changing relationships in the ownership and accessibility to data has resulted in a fundamental shift in size and complexity of data governance systems. ...