EZINE:
In this handbook, focused on database technology in the Asia-Pacific region, Computer Weekly looks at the impact of graph databases and the different types of database management systems currently on the market.
WHITE PAPER:
Environmental, social, and governance (ESG) mandates are top of mind for organizations everywhere. Explore this guide to 2023's top ESG opportunities, beginning with three ESG trends.
EZINE:
In this week's Computer Weekly, a parliamentary report warns that a lack of ransomware preparedness at the highest levels of government is leaving UK critical national infrastructure dangerously exposed – we analyse the risks. We also examine how AI tools are helping to enhance cloud security. Read the issue now.
EZINE:
In this week's Computer Weekly, we discover how Once.net and Cloudfare defended the 2023 Eurovision Song Contest against cyber attacks. Our buyer's guide continues to look at integrating software-as-a-service applications, with the governance of SaaS connectivity to the fore. Read the issue now.
EBOOK:
In this automation architect’s guiding e-book, discover a walkthrough map of the steps required to lead your organization beyond task-centric automation toward an enterprise-wide strategy.
WHITE PAPER:
This paper provides survey insights from 520 employees using internal shared services, such as HR and workplace services and explores how employees perceive the use of self-service tools and a centralized company portal and the impact on the wider business.
WHITE PAPER:
At the Computer Weekly diversity in tech event, experts proposed a 15-point plan to improve diversity and inclusion across the industry. Suggestions focused on getting people into the sector and keeping them there. Download the full report here.
CASE STUDY:
In order to to develop the best car, optimize the performance on race-weekend and evolve faster than their competitors, the BTW Alpine F1 Team needed a way to maximize the potential of their data. Access this case study to learn why the BWT Alpine F1 Team turned to KX to extract more value from their data in a very fast way.
