Artificial intelligence (AI) has had a game-changing impact on industries far and wide, but we’re still only scratching the surface of what’s truly possible. Nowhere is that statement more relevant than in the field of digital engineering, where leaders are now facing tough decisions on where to focus their resources to best navigate the evolving AI landscape.
Generative AI, natural language processing and tools like ChatGPT have become boardroom buzzwords, but investment in one area might lead to underinvestment in another. At a time when resources are stretched and opportunities are plenty, where should digital engineering companies be focusing their resources?
AI is ubiquitous, but by most counts it’s still a nascent technology. We may have reached the point where the automation of processes has become normalised and machine-learning models are commonplace, but there are acres of uncharted ground left to explore. Data visualisation, for example, uses...