Artificial intelligence and machine learning projects depend on strong data foundations to function effectively. This article explores eight pillars for building reliable data foundations. From aligning goals and developing scalable infrastructure to maintaining data quality and managing technical debt.

As we come to the end of 2024, we round up the most popular industry articles read by IT directors, CIOs and other tech leaders on our industry insights blog.

Emerging technologies, like AI and machine learning, are reshaping industries, offering new ways to innovate and drive efficiency. However, many organisations face a persistent obstacle to fully leveraging these advancements. In this article we discuss the ways to balance technical debt and legacy system maintenance with new technology adoption.

Organisations are looking to capitalise on the potential value that innovative technologies and the accumulation of value-rich data can add. However, many face limitations in flexibility due to legacy technology. This article explores options and approaches for gaining the benefits of modern tools and technologies without the need for full-scale replacement or redevelopment of core legacy systems.