EZINE:
Technology advancements in recent years have brought about huge social challenges. Artificial intelligence and big data, for example, have gained the serious attention of policy makers across the world.
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.
EZINE:
In this week's Computer Weekly, after the pandemic led to a boom in e-commerce, we look at how retailers are turning to tech to revitalise their stores. We examine the issues around using algorithmic automation to manage employees. And we find out how data science is supporting drug discovery at Novartis. Read the issue now.
WEBCAST:
Access this live webcast on January 30, 2014 at 12:00 PM EST (17:00 GMT) to learn how you can use big data tools and technologies to extend security intelligence – allowing you to protect massive data volumes and uncover hidden threats.
Posted: 15 Jan 2014 | Premiered: Jan 30, 2014, 12:00 EST (17:00 GMT)
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.
WHITE PAPER:
This technical resource examines three key new features of SQL Server 2014 that deliver mission-critical performance, faster data insights, and migration of data to the cloud.
WHITE PAPER:
This brief resource examines how many industries, like the video gaming industry, can use big data analytics to capture and analyze customer behavioral data in order to respond to customer demands and deliver better experiences.
WHITE PAPER:
This resource introduces Hadoop strategies that can address the requirements of big data – allowing your organization to optimize performance for deep data mining and analytical power.
CASE STUDY:
This case study describes how MSU leveraged business intelligence and predictive analytics to gain deep insight into an individual alum's potential to give.
EBOOK:
When large information sets are in transit, bottlenecks inevitably occur. CIOs must overcome these obstacles in order to extract real value from their data. In this SearchCIO handbook, we confront the obstacles posed by big data in motion.
