What I have learned after several AI projects
Businesses are now overwhelmed with AI sales pitches promoting the technology’s potential to automate tasks, cut costs and improve performance.
Some of you are probably thinking about integrating an AI-based solution into your organization. Well, the good news is that you do not need to be an expert on AI, but you do need to understand the basics such as the importance of data(many articles are available for non-tech people on Medium). Once this is done, you can proceed to automate key tasks and use data to detect patterns and outcomes.
Before jumping into the AI bandwagon, please ask yourself these three questions:
- Is your task data driven?
- Do you have suitable and sufficient data to support an AI-driven solution?
- Do you have an understanding of how AI works?
Start small
It might be tempting to start your AI transformation by trying to completely reinvent your business process. However, this is the best way to fail. It is wiser to gain experience from smaller projects that will create a solid foundation to move onto bigger, more complex human interactions and AI challenges. Moreover, I recommend focussing on projects that have mature user cases with a proven ROI.
