3. What do you anticipate the needs of your clients to be in the age of ‘disruption’ in tertiary education? E.g. What are your thoughts on data and analytics for the future?
There’s a lot of noise in the industry right now in the areas of artificial intelligence (AI) and machine learning (ML). The recent public release of OpenAI’s ChatGPT seems to have pushed it further into the mainstream and has many organisations considering the possibilities.
ChatGPT will provide many opportunities in the coming years, however, fundamentally you still need a solid core to build this on. Access to clean and reliable data always has and always will be the cornerstone of any analytics work. Strong data governance practices and traditional data warehousing techniques are still very much required. It’s only after this is bedded in that it can be augmented with AI and ML.