In today’s digital landscape, data is the new gold standard. All kinds of businesses strive to make data-driven decisions - and for good reason. In this regard, Artificial Intelligence (AI) and Machine Learning (ML) have become invaluable tools that companies can leverage to increase their efficiency and gain a competitive edge.
However, the significance of AI and ML goes far beyond mere data processing. Even though data is very technical, the human element takes center stage.
Data-driven change management allows for informed, data-based decisions. Data can expedite decisions and create transparency. During changes, data helps to identify resistance early on.
For data-driven procedures, and therefore AI and ML, to gain acceptance within the company, a cultural shift is often necessary.
A key element to successfully implementing data use is trust in AI. It’s natural to have fears when embarking on such complex technology. Hence, it’s important to address these fears through transparent communication and training. It’s also crucial to involve stakeholders early on. They can provide valuable insight into potential challenges and help overcome resistance to change.