RESEARCH CONTENT:
This survey of 80 CIOs and IT leaders by Coeus Consulting shows the technology and financial trends facing IT leaders and businesses.
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:
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.
EGUIDE:
In this e-guide, we explore how businesses around the world are using advanced HR technology to transform the way we work and to improve the efficiency of the workplace. We focus on how advances in artificial intelligence, virtual reality and data analytics are helping to propel HR and the workplace into the future.
EZINE:
In this edition of CW ANZ, we look at how enterprises are using microservices to solve problems and the challenges they are facing in moving to this new paradigm in software development. Read the issue now.
EZINE:
In this week's Computer Weekly, we talk to retailer Sainsbury's about its data science strategy and how it helps the firm better understand customers. We take a detailed look at the evolution of the business intelligence market. And we find out how simulated disaster management can tackle the security skills gap. Read the issue now.
WEBCAST:
Access this webcast to learn how using the latest intent data and AI-driven technologies can transform their productivity and yields from a market, an ICP, or a set of named ABM accounts.
BOOK:
This extract from the book, Futureproof – how to get your business ready for the next disruption, by Minter Dial, gives some invaluable career tips for IT and other professionals, looking to futureproof their careers.
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.
EZINE:
Klarna has not only grown into a well-known Swedish fintech brand, but former staff have gone on to create some of the Nordic region's new startup ventures. Find out more about the so-called 'Klarna academy'. Also read in this issue why growing tech companies in Stockholm say the city's startup environment needs to diversify more.
