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Osborne committed ‘above the line’ R&D tax credit from April 2013 with a minimum rate of 9.1% before tax. Loss making companies will be able to claim a payable credit. The government said it will be consulting on the detailed design of the credit.
If CIOs are to remain relevant and strategic, they need to teach their IT teams the lingua franca of business.
As businesses go digital, technology expertise is needed more than ever. The question is how to do that in a way that doesn't alienate the business.
This week, Searchlight focuses on data privacy issues including privacy expectations, Google's ironic stance on 'big data' and more.
Opinion: Gary McGraw details the various and sundry NSA data collection programs and explains why all its efforts demand new discussion and scrutiny.
A Gartner analyst says enterprise BYOD -- specifically iOS and Android devices -- presents many pros and cons for enterprise endpoint security.
According to expert Joe Granneman, return on security investment is a misnomer. Here's a better way to view security expenditures.
You need to make sure you have the right tools to effectively monitor so many new externalized services. Expert Henry Svendblad shows you how.
Enterprises need device and operating-system-agnostic BYOD management. Ruckus offers device-agnostic networking software for enterprise WLANs.
Fibre Channel over Ethernet (FCoE) adoption is growing. But is it right for your organization?
Hardware, virtualization, public and private cloud are all converging and need to be managed as one environment. Enter Red Hat's Open Hybrid Cloud.
A Red Hat Summit talk on database and mainframe modernization highlights urgency, need for agility in enterprise development teams.
Intel may win the server war, but AMD microprocessors could find more acceptance in another niche market.
Advocating wider access to data, speakers at the Information Builders Summit 2013 traced a journey from 4GL tools to HTML5 desktop apps and beyond.
Combining data quality initiatives with master data management and data governance programs can help ensure that data remains accurate and consistent.
Efforts to improve data quality should start with procedural changes to help avoid data errors, then the possible addition of data quality software.