Why do AI initiatives fail to deliver the value they promise?

Sandra Olsthoorn from the Dutch Financial Times (Het Financieele Dagblad) asked me this question and just published an article about it.

Organizations often skip the most important step when starting their AI journey: a solid AI strategy. Many know the adage, but few apply it: sharpen the axe before felling the tree.

What happens when you skip strategy? The data we collected for our Data & AI Monitor is clear:

Half of the respondents lacks a reliable and well-governed data foundation, leadership buy-in, and change management.
A third is unable to access data, lacks budget and technical know-how, and is unable to identify valuable use cases

The last point, identifying valuable use cases, is also a central piece of the article: often, organizations are looking for a big-bang use case in areas that are more directly linked to revenue (sales and marketing) and overlook the back office—where small improvements can have a tremendous effect on the bottom line!

The results? Only 24% of the organizations we surveyed believe they’re delivering real value!

Links in the comments!

Steven Nooijen Anand Sahay Mayank Verma Klaudia Wachnio (Zdunczyk) Xebia