With the coming post-PC architecture, sensor, device and cloud components will form a new multi-machine OS with built-in solutions for security and ID management.
NIST's definition of cloud computing is incomplete because it excludes big data and omits any number of "things as a service."
Understanding how to design the right metadata is the key to helping users (and citizens) get the most value from data on your organization's products and services.
The U.S. will either do the hard work necessary to establish a strong national cybersecurity defense or get stuck in the doldrums of decline.
Three recurring conflicts born of well-meaning but often diametrically opposed IT forces keep haunting IT systems development.
It is not that there is no difference among programming languages. It's just that those differences are becoming less and less a factor in choosing a development platform.
Columnist Mike Daconta helps clarify the President's Council of Advisors on Science and Technology's recommendation for a universal exchange language for health care information and explains why it is more than feasible today.
Massive datasets created by new cloud platforms will put a heavy burden on government IT managers. Here’s what you can do about it.
Watson's pipelined, pragmatic process demonstrated significant innovations that overcame the type of grand challenges faced every day by the government IT community.
The CIO Council's plan for reforming IT management offers significant improvements but is weak in a few areas.
Once you understand what it is and is not, the move to cloud computing represents an opportunity for a disciplined approach to tackling information overload.
Local Access databases can serve an important prototyping and requirements role, but it is up to the CIO to provide an enterprise service to "webify" them.
When beginning a dashboard project, there are three common pitfalls to avoid: using the wrong type of dashboard, using weak metaphors and using made-up data.
Outdated technologies and inadequate transparency are hampering HHS's electronic health records effort, but the experience could provide lessons other agencies can use to avoid similar pitfalls, says columnist Michael Daconta.
Context is so critical that its implications are cropping up in more than a half-dozen areas of data architecture, such as process monitoring, business glossaries, master data management, metadata catalogs, information exchanges, data warehousing and much more, Reality Check columnist Michael Daconta writes.