We often talk about balance between safegarding data and access (or privacy as you mention here), but is that really the goal? I woud argue that in most enterprises, safeguarding data is the first priority given all the possible threats to it.
"Discuss how you dealt with an ethical dilemma" goes the essay topic for a college application. A question commonly posed to comprehend the dynamics that force us to make those oh-so-difficult judgment calls. These are dilemmas for which there is no "right" answer varying from scenario to scenario, falling into the "gray area" – with no black-and-white answer. Humans are wired to make tough decisions bringing all the context and principles to bear. Similarly, can devices apply the available information to make the right judgment calls? To some extent, I would s
Our #CIOchat yesterday about security nightmares touched on human error, penetration testing, privacy, Point of Sale vulnerabilities, training, education, layered security, 7x24 threat monitoring and who should be charge of enterprise cyber security. The sheer number of topics expresses the complex and never ending task of keeping enterprise data secure.
"More specifically, we learned that data breaches are the top concern for 90% of IT security professionals. Despite this, only 15% of those same IT professionals surveyed, described their organizations as “well prepared” for a security breach."
It’s no secret that big data offers big value. But enterprises know that to exploit it, they must capture a tremendous volume of data, in myriad forms, and contain it in a database capable of running complex and comprehensive analyses.
Today, costs of scaling traditional systems have grown prohibitive. So the pressure is on to find a new solution. Enter: Hadoop.
Technology has profoundly transformed the world in recent years. In the last decade alone, mobility, cloud, social media and big data have changed the landscape of IT dramatically. One group affected perhaps the most by the ever-changing landscape is the CIO.
There’s a lot of noise out there about DevOps right now—and with good reason. With its goals of removing IT bottlenecks and putting the business back in charge of innovation speed, DevOps focuses on putting new ideas and tools into action faster and more efficiently. The idea of extending “agility” from conception to delivery improves IT’s ability to respond to business needs.
Think about how its principles can yield meaningful results for your business.
The business intelligence insights your organization has in all the data it stores can lead to game-changing opportunities--if your analytics system has the power to uncover them. Traditional data analytics are often maxed out by big data, unable to return results in a timely fashion, resulting in missed business opportunities. Business and marketing leaders can’t execute on new ideas to generate more revenue because IT can’t support their requests to add new data sources to existing queries.