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We should use AI to make our organization smarter! Chances are you’ve recently heard this statement and see organizations acting to it. Leading companies are using AI across departments to increase productivity. Customer care organizations are using chatbots and speech recognition in their customer contacts. Marketing departments are predicting churn and segmenting their customer base.

Venturing into the field of AI may seem daunting at first. While AI has been hyped immensely in the last decade, it is a deeply technical field. Gartner even made a prediction that 80% of AI will remain alchemy run by wizards whose talents won’t scale in the organization. Your organization probably doesn’t have the scale and technological know-how of Google, Apple or Facebook. This might lead you to conclude that developing AI models isn’t for you. You are right, partially.

Imagine, you have launched your Data Governance program 5 years ago. Over those years a lot happened: your team designed and implemented a complete Data Governance strategy. You can proudly call yourself GDPR compliant, your knowledge workers (e.g. data scientists) have access to data they trust and data is managed on a daily basis. You might think of taking the foot off the accelerator, but why not gear up? Automated data quality checks, data monetization opportunities and/or making your data management more efficient. Think big!