“Let’s Solve It With AI” — The Sentence That Makes Everyone Want to Leave Early

Read time: 2.5 minutes

When AI Is Actually the Right Tool

1️⃣ AI Will Not Solve All of Your Problems
AI is the best choice for addressing challenges associated with complex patterns and prediction, rather than routine operations.
Fix: To begin with, ask yourself whether your problem is a data, a procedure, or an equipment issue.

2️⃣ Accurate Data Will Always Be Better Than a Good Model
Even the most powerful predictive model is likely to fail if the input data are unreliable or inaccurate.
Fix: Before introducing any AI tool, ensure your data is high-quality and in an efficient pipeline.

3️⃣ There Is A Difference Between Automation and Intelligence
Often, a solution to a problem may require only simple workflow automation, rather than a sophisticated machine-learning-based solution.
Fix: You should explore all possible improvements to the process and evaluate implementing rules-based automation before considering ML or AI options.

4️⃣ AI Should Be Used To Enhance Existing Systems
The best solutions will be those that integrate AI tools within your existing systems.
Fix: Focus on practical workflow improvements using AI technology rather than experimental systems.

5️⃣ AI Technologies Should Be Used To Produce Better Results, Not For The Sake of Technology
You cannot gain a competitive edge with AI; you will gain it by making better, more efficient decisions than your competition.
Fix: Before you start to look for AI solutions, you should define the business outcome of the AI project before making a technology decision.

💡Key Takeaway: 

AI has great potential to assist teams; however, there is still room to improve its effective use.

While automated systems allow businesses to become more productive and efficient, there are also times when it may be better to improve the underlying processes than to introduce additional levels of complexity.