For April's #CIOChat, join @SearchCIO to discuss why adopting a predictive and/or prescriptive model might ease your enterprise's analytics woes.
Indian telecom operator Bharti Airtel has restructured its IT services contract with IBM following changes to its business
The countdown has begun. Microsoft XP will no longer be supported by Microsoft after 8 April
Cloud computing and the consumerization of enterprise IT has taken the app-store procurement model beyond its consumer focused origins
Stanford engineers and Facebook are both hoping to influence others into thinking about their data center power use, even in the cloud.
Every administrator has a question about their data center or IT roadmap that they're afraid to ask. On April 1, we answer three such questions.
Indian companies are beginning to adopt managed security services as a lack of internal resources and rapidly changing business models force a change of strategy
OpenDNS CTO Dan Hubbard says big data techniques like machine learning and data mining can be used to spot and mitigate unknown Internet threats.
In this excerpt from Linux Malware Incident Response, authors Cameron Malin, Eoghan Casey and James Aquilina discuss volatile data collection methodology, steps and preservation.
Expert Matt Mueller offers advice to data management pros who are interested in developing their big data skill set.
Co-operative Allegiance Retail Services is deploying a cloud-based big data stack to replace a homegrown system that fell short on analytics power.
Hadoop has the ability ultimately to break down siloed data stores, Ron Bodkin says in a Q&A.
Laws on data collection and use remain foggy, leaving businesses to feel their way through big data and privacy laws.
The increasing emphasis on collecting and analyzing big data is driving a debate on whether tighter privacy rules are needed to protect customers.
Software budget spending is increasing more than in other areas such as hardware and cloud, according to TechTarget's 2014 IT Priorities Survey.
Companies want to use better data analytics to get a more comprehensive understanding of their customers. But today's reality suggests that is in the distant future.
Marketing automation tools have progressed, but the field is still developing. Here are buying considerations for marketing automation software.
At the AIIM 2014 conference, Guy Kawasaki outlined three pillars of behavior common to companies that have mastered the art of customer enchantment.