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. With a clear focus on AI, popular topics included testing LLMs, overcoming challenges in AI and machine learning projects, MLOps best practices, and questions for data engineering projects.
Testing LLMs - A Different Approach to QA Testing
Senior UI/UX Engineer, Louis, explores how testing generative AI varies slightly to traditional methods of QA testing because of the number of variables involved, documenting the unique challenges of testing LLMs and the strategies teams can apply to testing generative AI projects.
Overcoming the Challenges of Implementing AI - From Data Quality to Legacy Systems
Head of TechOps and Infrastructure, Mark, explored how IT leaders can navigate the path to integrating new AI and ML technologies into their operations, covering common obstacles and strategies to overcome them to achieve successful AI/ML implementation.
3 Questions for Data Projects: Storage, Pipelines and Visualisations
Technical Director, Richard, discusses how good data can help organisations optimise production processes, improve product quality and drive better decision making, outlining three question areas to define before starting any data engineering project.
Integrating AI - Assessing Public, Private, and Hybrid Cloud
Head of TechOps and Infrastructure, Mark, discussed the strengths, challenges, and considerations of public, private, and hybrid cloud approaches for AI integration, providing options to successfully integrate AI solutions into operational IT infrastructure.
Implementing Engineering Principles: Ensuring High-Quality Software Delivery
Technical Director, Richard, documented how and what engineering principles can help guide software development and testing teams to create reliable, scalable, and high-performing enterprise solutions, and how to put these into practice.
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