How do you make your data more intelligent?

Microsoft, Google, and a handful of other entities have built 'whale-sized' supercomputers that they are using to take data and train intelligence. This process occurs outside your organisation, and your organisation will buy that intelligence in as a packaged model. So, what should your organisation concentrate on if all this intelligence is now coming from the outside?

The answer is to concentrate on the fundamentals first. Don’t get distracted by side projects. AI needs data! You can now buy general intelligence, but only you can provide your private data. However, every organisation's data is currently disconnected and poorly organised. If you want to use all this intelligence in a way that is meaningful to your organisation, then you must first get your data into a shape that is ready for use with AI.

The foundational models have pulled intelligence FROM data, but within an organisation, that process can be reversed. We can take the external models and pull intelligence INTO data

How do you make your data more intelligent? Well, the answer is to carefully organise it around the structure of a well-factored ontology. We use foundational models to help us create ontologies whose structure is meaningful within the context of our niche. This can be seen as taking intelligence from the general model and caching it into your ontology.

You can then link all of your data (structured and textual) back into the concepts within your ontology. If you do this, you will have intelligent data that connects beautifully with the general intelligence of the foundational models. Everything will flow much more easily, and you will be ready to rock in the age of AI!

Don’t hang around though; this is a huge amount of work and time is ticking.