More Big Data Articles
Government leaders are expected to promote efficiency and innovation, hire and retain top talent, and launch effective IT initiatives. Key to these goals is adopting an open and agile culture in government agencies. By taking some initial steps—getting a handle on what culture is, how it is formed, and how to guide it in new directions—leaders can begin the process of changing their cultures for the better. Download this e-book to learn more.
For the Intelligence Community (IC), realizing mission success means efficiently and reliably collecting, analyzing, and delivering foreign intelligence and counterintelligence information to America's leaders so they can make sound decisions to protect the U.S. A key competitive advantage of the IC is the use of powerful, innovative mission applications delivered to analysts on reliable and robust technology platforms. Red Hat offers 5 imperatives required to get to mission faster and maintain a competitive advantage.
Red Hat Open Innovation Labs is an immersive residency for modernizing application development. Developing government applications can take years and cost millions, and security, compliance, and privacy requirements stall progress. Government IT teams are innovating faster and improving quality with DevOps. The approach is to make large-scale changes iteratively, instead of all at once—adjusting direction as you go. Learn how in this e-book about Red Hat Open Innovation Labs.
The Navy Data Platform is already delivering predictive analytics and will soon be incorporating prescriptive analytics.
The FBI and the Securities and Exchange Commissions are both looking subscriptions to help them identify threats to national security the financial system.
A sound data-centric architecture is essential for the data sharing, preservation, transparency and availability the strategy calls for.
Connected vehicle testing site opens, insights from ridesharing data and more on smart city mobility.
A new surveillance tool detects machine-generated errors in health care data.
Getting the most from artificial intelligence requires data management strategies that make information secure and shareable.
MIT Researchers have developed a virtual data scientist tool that leverages user-friendly interfaces to generate machine-learning models for making predictions from datasets.
Sign up for our newsletter.