Stop thinking about the cranky CFO, cloud, BYOD, transformation, Big Data and your data centers for a moment and ask yourself: "What if I was fired tomorrow?"
Several on the recieving end of this question describe the ordeal of joblessness in one of the best stories I've read in a long time. Senior editor Kim Nash at CIO magazine (yes, I read it in print!) managed to get several CIOs to open up about the emotional, psychological and financial toll of joblessness. How she got these CIOs to talk so candidly and personally is remarkable.
When it comes to emerging technologies, cloud computing has drawn more controversy than any other tech out there. These two words have driven countless debates, caused numerous arguments in IT departments and, more often than we like to admit, have left many in the industry profoundly confused.
This timeless quote from Machiavelli sums up the world of many CIOs. Look at any of the many studies, research papers, opinion pieces and consultant reports on what makes a successful CIO and the ability to lead transformational change will likely appear among the most important “must haves” for success.
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.