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.
ESSENTIAL GUIDE:
This research from Deloitte identifies the areas with the biggest immediate opportunity for retail and consumer packaged goods (CPG) businesses looking to invest in blockchain technology.
ESSENTIAL GUIDE:
Standard file and block storage have their places, but there is an increasing move to object storage to meet the governance, risk and compliance needs of organisations, while also providing enhanced information management capabilities, say analysts Clive Longbottom and Marcus Austin.
PRESENTATION:
In this presentation from our CW500 event, director of digital architecture and transformation Chris Boyd explains how Telefonica tackled the challenges of delivering people, cultural and organisational change.
EGUIDE:
In this expert e-guide, we explore how you can create an effective content security and document management strategy. Discover 5 tips for a sound content security policy and learn about the differences between digital signature, e-signature, and digital certificates.
WHITE PAPER:
This white paper details the results of a survey of IT professionals from around the world regarding the business impact of cloud, big data, mobile, and social forces.
EZINE:
Last year the European Union's 28 member states adopted guidelines for sharing basic clinical and administrative data on patients internationally, including the details of healthcare providers and insurers. This issue of CW Europe looks at how European Union (EU) countries vary in sharing patient records and exchanging data.
WHITE PAPER:
Are you sitting on your data with no plan? Do you know how to capitalize on information you already have? This whitepaper dives into the world of profiting from data. Access now to discover 4 essential steps to getting started, as well as challenges to overcome and a discussion on the importance of data integrity.
EBOOK:
Traditional machine learning operations were fairly simple and easy to manage; but as ML grows in complexity and scope, the old way of doing things is no longer feasible. ML projects are often started in response to C-suite goals and involve employees across the length of an organization. Check out this eBook to learn more about MLOps.
