EGUIDE:
This guide offers a collection of our most popular articles for IT leaders during the last part of 2016, looking at what it takes to be a great CIO and how to get the most out of your IT budget.
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.
RESEARCH CONTENT:
Fewer than 10% of CIOs identified themselves and their companies as being advanced in the journey to incorporate technology into their digital business strategies, Deloitte's 2018 CIO survey reveals in the UK edition of its 2018 global CIO survey, Manifesting Legacy: Looking Beyond the Digtal Era.
LANDING PAGE:
Our IT Salary & Career Study is now underway and we need your help to determine the current trends in employment & salaries. As a valued Computer Weekly member, you're invited to share your experience by completing this survey. It only takes a few minutes to complete and you'll also be one of the first to receive a detailed survey report.
EGUIDE:
In this e-guide, discover how the allocation of work by algorithm might have advantages for workers as well as employers, how AI is proving its value for HR and how data analytics is being used to support expansion and development.
EZINE:
Amsterdam University of Applied Sciences has launched a centre of expertise in applied artificial intelligence, and students from all faculties of the university will learn how to apply AI in their field of study.
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.
EZINE:
In this buyer's guide, focused on human capital management (HCM) in the Asia-Pacific region, we look at the advantages of HCM software in recruitment, the importance of listening to staff and the considerations that should be made when using work algorithms.
