EGUIDE:
The National Museum of Computing has trawled the Computer Weekly archives for another selection of articles highlighting significant articles published in the month of June over the past few decades.
EGUIDE:
Businesses in every industry are finding themselves under pressure to out-innovate their competitors, and push out new products and services to customers at an ever-increasing rate.
EZINE:
In this week's Computer Weekly, we reveal our annual salary survey, comparing IT professionals' pay and attitudes to their job – how does yours stack up? The new digital chief at DWP discusses AI, data modernisation and shaking up the tech behind the benefits system. Read the issue now.
EGUIDE:
Adopting a microservices approach to application development is increasingly considered an essential part of any bid to modernise the legacy IT setup an organisation relies on.
EZINE:
In this issue of MicroScope, we look at the channel opportunity in the SME customer base as they look for managed services support, our roundtable discussion looks at the transformative appeal of unified communications, and consider why software development houses are switching to no-code. Read the issue now.
EGUIDE:
The Computer Weekly Developer Network is in the engine room, covered in grease and looking for Artificial Intelligence (AI) tools for software application developers to use. With so much AI power in development and so many new neural network brains to build for our applications, how should programmers 'kit out' their AI toolbox?
EZINE:
In this handbook, focused on tech careers for women in the Asia-Pacific region, Computer Weekly looks at what can be done to attract more women into software development.
EGUIDE:
This expert e-guide from SearchSecurity.com sheds light on how fostering harmony between security and software development teams can ensure application protection early on.
TECHNICAL ARTICLE:
This article aims at answering the question, "Is parallel programming hard?" You'll take a look at the distinctions between parallel and sequential programming as well as the three main problems programmers face when it comes to parallel programming.
