During its recent Symposium ITXpo, Gartner released predictions about the future of technology for IT departments and users. Here's a look at those predictions and what they might mean for you and your organization.
IT agility is about far more than adopting agile development practices. It requires a complete re-thinking of your entire IT organization in order to help your company achieve the digital transformation needed to survive. That's the conclusion of a new report from The Hackett Group, which identifies four key steps to take as you begin your journey toward IT agility.
As more and more companies delve into mobile e-commerce, the amount of data generated is putting new challenges for developers and IT departments. But analytics, IoT, and other tools have help make sense of that data, according a report from Frost & Sullivan.
Despite enterprises spending more money annually on cybersecurity defense than ever before, the number of businesses compromised continues to increase. Today's approach to data defense isn't where it needs to be and it's time for all enterprises, including yours, to ...
Whether you are in the C-Suite, analytics, IT ops, infosecurity, or marketing, protecting the privacy of others is your job. This Academy will help you understand how to keep the vital data of customers, co-workers, patients, and business partners out ...
Glassdoor recently released its report on the best cities for jobs in 2016 based on factors including cost of living, job satisfaction, and work-life balance. Which of these cities on its list are best for IT pros? We take a look.
DevOps means a massive change for most organizations and requires serious commitment from management and workers. It isn't for everyone, but is it really for anyone? Here are nine reasons DevOps might not be right for you and your organization.
At the Gartner Symposium and ITxpo, Gartner released its annual list of the top 10 strategic trends. Are you planning for the right technology in your organization?
Do you really need to go back to school and get another degree in order to establish yourself in a career as a data scientist? Maybe not. These nine free online courses can help you explore a range of topics, including Python, R, AI, machine learning, and Hadoop, before you commit to more advanced learning.
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