Hey there, AI enthusiasts! If you’re looking to build AI for your company, you’re in the right place. We all know AI is a game-changer, but it’s not a magic wand. So, let’s dive into some dos and don’ts to make your AI journey smoother and more effective. Trust me, you’ll want to avoid some common pitfalls that I’ve seen many teams stumble into.
Don’t Overestimate AI’s Capabilities
First off, let’s get real—AI isn’t a cure-all. While it can do wonders, there are limitations. Whether it’s technology, data, or engineering resources, you’ve got to be realistic about what AI can achieve. A Forbes article emphasizes that understanding AI’s limitations is crucial for effective implementation in various industries1.
Do Exercise Technical Diligence
Don’t just rely on your machine learning engineers to come up with all the use cases. Pair them with business experts and work cross-functionally. This combination often leads to the most valuable and feasible projects. It’s not just about the tech; it’s about solving real business problems.
Don’t Expect Instant Success
AI projects usually require multiple iterations. So, if you’re expecting your first AI project to be a home run, think again. MIT Technology Review suggests that iterative processes are often key to successful AI deployment2.
Do Adapt Your Planning Process
Traditional planning methods won’t cut it here. Work closely with your AI team to set realistic timelines, milestones, and KPIs that make sense for AI projects.
Don’t Wait for the “Perfect Team”
You don’t need a team of superstar AI engineers to get started. There are plenty of talented individuals out there who have honed their skills through online courses and can contribute meaningfully to your projects.
Conclusion: Just Get Started!
The key takeaway? Start now. Your second AI project will be better than your first, and the third will be better than the second. The important thing is to take that first step.
