EZINE:
In this week's Computer Weekly, we find out how data scientists at online grocer Ocado are using machine learning technology to deliver better customer service. Manufacturing giant GE is making a play to become a top 10 software supplier. And we examine the future of server operating systems as workloads move to the cloud. Read the issue now.
EGUIDE:
Deep learning can help companies operate faster and more efficiently. In this 13-page buyer'sguide, Computer Weekly looks at the advanced tools available for developers building intelligentapps, the frameworks that can be used and the kit that can enhance a programmer's toolbox.
WHITE PAPER:
Access the following e-book to uncover the tools and strategies you need to get the most out of big data. Learn from leading authors in the field of data management as they explain some of the common mistakes made by analytics professionals while mining for new insights and what you can do to avoid them.
EBOOK:
Data governance is all about managing data as a business asset and ensuring that data is accurate, consistent, integrated, timely, complete and secure. This report examines the market trends for implementing data governance.
WHITE PAPER:
This resource evaluates the adoption of enterprise-wide, production-ready big data tools using market data from Forrester Research and a custom study from CenturyLink Technology Solutions.
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.
EGUIDE:
In this e-guide from the experts at SearchDataManagement.com, learn about the rise of NewSQL database systems – which combine SQL and NoSQL elements – and the key benefits that these database alternatives offer.
WHITE PAPER:
This valuable report examines the critical role of data integration in driving big data success. Read on to learn about the current state of data integration, the key challenges of big data, and more.
