EZINE:
Technology advancements in recent years have brought about huge social challenges. Artificial intelligence and big data, for example, have gained the serious attention of policy makers across the world.
EGUIDE:
Data grants insight into your talent's performance, but how can you use data from across the company to determine how an individual employee's performance assists in reaching your goals?
EBOOK:
Data science, predictive analytics and machine learning applications start with data collection and data mining tasks that set the stage for analysis. Learn how to manage your data mining tasks and data science applications to help ensure that your big data analytics program is in the corporate spotlight for all the right reasons.
EBOOK:
Overcome the four biggest challenges of moving mainframe data to Hadoop: data integration, skills and expertise, security, and escalating costs.
WHITE PAPER:
The process of verifying that business intelligence report content has not been adversely affected following a change in the IT environment can be time-consuming and tedious. This resource introduces a utility that automates the testing process – read on to learn more.
CASE STUDY:
This case study describes how MSU leveraged business intelligence and predictive analytics to gain deep insight into an individual alum's potential to give.
WHITE PAPER:
This resource examines the value of metadata in business intelligence, and introduces a metadata modeling tool for managing access to all existing data sources and ensuring data trustworthiness.
WHITE PAPER:
This white paper lists the top benefits for adopting an EMC Isilon scale-out storage solution for Hadoop analytics. This solution will lower operating and capital costs while allowing for more big data analytics capabilities
