Solving maturity issues
Let’s now talk about how a company can transition to the next level, no matter where it starts. Building AI maturity is crucial in staying competitive in our digital world. Enterprises are challenged and beaten by technological startups because of a lack of innovation or a too-slow adaptation to changes. In this section, I discuss each level and potential challenges associated with it.
Awareness (1)
In order to ascend to the very first level, one should organize a workshop for the whole department about AI, machine learning, data science, and their potential use in real-world scenarios.
Potential challenges:
- educating staff of new ways of doing marketing,
- overcoming fear of AI and explaining it in simple terms to everyone.
From Awareness (1) to Active (2)
To progress past the first stage, one needs to connect the company’s data to the system able to analyse data. This way, the first generic algorithms can be put...
