EZINE:
In this quarter's CW Middle East ezine, we look at how the Middle East, with the poorest road safety record in the world, could benefit most from self-driving cars.
EGUIDE:
In this guide, we provide the 10 most important things you need to know about GDPR, and a jargon-buster explanation for some of the key terminology.
EGUIDE:
This expert e-guide explores why creativity is becoming a critical skill for finance professionals, and offers key recommendations from a leading CFO to help you successfully move forward.
EZINE:
In this week's Computer Weekly, we find out how a temporary IT set-up based in a portacabin is supporting the UK's largest critical infrastructure project. Our latest buyer's guide looks at converged infrastructure products. And we analyse research showing data protection topping the list of UK security priorities. Read the issue now.
VIDEO:
There's value in big data for every organization, no matter the size or industry. But not every business has been able to reap the benefits completely -- only about 1% of companies (usually the big players) have been able to extract real value. That is, until now.
WEBCAST:
This brief on-demand video introduces an analytics platform designed for today's big data 2.0 world that delivers the key capabilities you need in order to leverage all of your available data.
EGUIDE:
Applying technology like machine learning to transaction data could significantly increase the proportion of money laundering activity that is detected. It is projects like this that are driving demand for data science skills. In this e-guide, read about the power of data against money laundering, and how to get the skills to turn data into gold.
WHITE PAPER:
Access the following white IDC research paper to uncover the requirements for a big data implementation and what you can do to successfully address the needs of BDA.
EGUIDE:
Surging big data is changing data modeling techniques and app development cycles. Read on to discover what you should expect from big data's near-future and best practices when it comes to transitioning big data applications into the production stage.
