Adopting AI is an easy affair if you know what to do. This is why the Tesseract Academy likes to break down the into clear and easy processes to follow.
We have created the 10′ below which explains how AI is adopted and used by organisations. We give two examples: that of a bigger firm, and that of a medical startup.
The main points are (for those who don’t have time to watch the video):
- Contrary to traditional IT projects, AI projects are dynamic.
- They are not static and can be somewhat unpredictable – particularly in novel use-cases.
- AI is more like R&D than traditional IT and software development
- Adopting AI is often an exercise in risk management, as you try to minimise negative outcomes
And the 3 stages are:
- Proof-of-concept
- Incubation
- Deployment
Being aware of these stages can help you better plan your data strategy and eliminate the risk of AI deployment, and can make tools like the Data Strategy Canvas way more effective.
Make sure to get in touch if you are considering adopting data science/AI. We’d be more than happy to provide advice!
