EGUIDE:
An infographic highlighting what buyers are telling us about their next business process management buy. Including top purchase drivers, top features and the top vendors being considered for purchase.
EGUIDE:
Aspiring machine learning job candidates should be fluent in varied aspects of machine learning, from statistical theory and programming concepts to general industry knowledge. Read our list of commonly asked machine learning questions and accompanying answers to help you prepare for your interview.
EGUIDE:
Despite efforts to increase the diversity in the technology industry, little progress has been made over the past decade. As the year draws to a close, Computer Weekly looks over the top 10 diversity in tech and women in tech stories of 2019.
EBOOK:
Data analytics for the solution of first-order business problems is probably more important than ever. It is not new. Companies and organisations have been analysing computerised data for many decades. But all sorts of companies now pronounce themselves "data driven". Read more about business analytics trends in this exclusive e-guide.
EZINE:
It's time for flash Users have started to move towards flash storage in serous numbers and now is the time for the channel to get behind the technology
EZINE:
In this week's Computer Weekly, we look at the differing approaches to teaching computer science across the UK and assess the pros and cons of each. Our latest buyer's guide examines the technologies and best practices of multicloud environments. And we find out what you get for your money when buying cyber insurance. Read the issue now.
EGUIDE:
We take a look at our 2021 Salary Survey results from over 300 respondents who work in the UKI IT sector. We will be breaking down which job functions get paid what, what areas of IT companies will be investing in in 2021 and the current diversity landscape residing in the UK tech sector.
ESSENTIAL GUIDE:
IT4IT™ for Managing the Business of IT – A Management Guide, from The Open Group, provides best practice advice and focuses on the data and automated workflows needed to manage IT services in a lean, agile and business-focused way.
