3 Simple Tips for AI transformation

So simple, yet so hard

A million pompous Tweets don’t lie : Artificial Intelligence (AI) is here to stay. Ok. Good. What now? Well, before AI can truly be called a democratised technology, we have to go beyond Silicon Valley startups and implement it within small/medium businesses and governments.

And so we must ask ourselves : how does a non-tech company go about this? What are the pitfalls to avoid? Where to begin? Below are a few lessons I’ve learned throughout my time as a technology consultant for some of Europe’s largest companies.

Identify and remove small(er) obstacles by answering the following questions

• How will we ensure user adoption both internally and externally?
• Is the quality of our data good enough for this project?
• Are our business and IT teams close enough?
• Do we have the relevant AI skills within our organisation?
• Does our company have a sufficient data culture within top management? (hint : no)
• Are our data management processes adapted?

Avoid the real pitfalls by tackling this challenges

• Prefer “Business Pull”…