EZINE:
In this week's Computer Weekly, we announce this year's list of the 50 most influential women in UK technology. We talk to Suki Fuller, who topped the list, about her journey in IT and the importance of diversity and inclusion. And we meet our rising stars – the women on a trajectory to influence the UK tech community. Read the issue now.
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.
EGUIDE:
In this e-guide, read more about Citic Pacific Mining's success, the role of the CIO and chief digital officer at GE, and how Australia is planning to develop its digital competencies.
EGUIDE:
This e-guide to employee experience includes a podcast discussion about the evolution of employee experience management. Also, we explore how advanced companies are responding to skills shortages and millennial employee attitudes by listening harder to their workforces.
ESSENTIAL GUIDE:
This guide from Vodafone explains how to introduce flexible working, what technologies to consider and how to succeed at implementation.
EZINE:
In this week's Computer Weekly, as research reveals that three-quarters of non-tech workers would be interested in a job in IT, we examine what's stopping them. We analyse the key storage elements of building a private cloud. And Bloomberg's head of data science talks about the benefits of machine learning. Read the issue now.
EZINE:
In this week's Computer Weekly, 13 years after Computer Weekly first reported on flaws in the Post Office IT system, a public inquiry finally allows victims to reveal the devastating impact on their lives. Enterprises are starting to evaluate the uses of 5G. And we look at how SMEs have turned to e-commerce after the pandemic. Read the issue now.
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:
In this e-guide: HR software had long been a relatively backward zone of enterprise software before the Covid-19 pandemic. It had been catching up, as organisations applied digital approaches drawn from customer experience to employee experience, encompassing the journey from recruitment, through working and learning, to moving up or moving on.
