#5 The Risks of Building an AI Strategy on Sand – CTO Academy
The risks of building an AI strategy on sand
Simon Harrison is featured in episode 5 of the CTO Academy podcast
In this episode Simon explains some of the things to consider before you throw your data at AI tools
Sanjay Mistry hosts this fireside chat and asks questions around what needs to be in place before AI can sensibly be put to good use in a business
Example questions include
Q. I have loads of data in my business, can I just point AI at my data and get results
A . No, that is like building on sand. you need to make sure your data is fit for purpose
The conversation explains some ways of making your data is fit for purpose including finding the balance technical ability in data engineers and business knowledge.
How you could bridge the gaps in knowledge
Making sure your data is good enough, not perfect, but good enough to make sure your decisions using that data are reliable
Simon talks about some of the risks of incomplete data using for model training
Doberman or Dachsund?
You just don’t know what you don’t know
How to start on your AI journey
You can catch the episode here
#5 The Risks of Building an AI Strategy on Sand – CTO Academy
If you want to understand whether your data is fit for purpose you might benefit from our management information health check
Simon and his team get under the hood to understand the quality control in your business and assess the efficiency and controls used to generate your management information
Management Information Health check – Select Distinct
