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.
EZINE:
In this week's Computer Weekly, we look into Apple's controversial plans to build a huge datacentre in a small town in the west of Ireland, and the local arguments it has caused. We find out how the Met Office is managing its vast quantities of weather data. And we examine Google plans to bring AI to the recruitment market. Read the issue now.
EGUIDE:
In this e-guide, read more about the trends that are shaping the demand for AI and how organizations including healthcare service providers and F1 racing teams are leveraging technology on their own terms.
WHITE PAPER:
The reference solution combines Dot Hill storage solutions, Intel Enterprise Edition for Lustre, and Mellanox Infiniband to deliver a highly scalable and high performance infrastructure for oil exploration computing platforms, as well as other HPC applications.
EGUIDE:
Data grants insight into your talent's performance, but how can you use data from across the company to determine how an individual employee's performance assists in reaching your goals?
EZINE:
Companies aren't gaining enough value from big data. That's why there's a greater need to establish data handling policies and procedures that only good data governance programs can provide. Explore good use vs. abuse of customer data (Wells Fargo, Target, and Bank of America), 4 data governance concerns and best practices, and much more.
EBOOK:
Overcome the four biggest challenges of moving mainframe data to Hadoop: data integration, skills and expertise, security, and escalating costs.
EBOOK:
This guide offers expert advice to help you get started with offloading your EDW to Hadoop. Follow these 5 steps to overcome some of the biggest challenges & learn best practices for freeing up your EDW to do the work it was meant to do: provide the insights you need through high-performance analytics and fast user queries.