AI mistakes to avoid

- Let's talk about something interesting happening in tech today. While we're bubbling with creative AI ideas, bringing them to life can be quite a journey. You might have heard people say that AI ideas are cheap, that they are 1% of the value, and that 99% is the implementation. It's a fact that we have more ideas than resources. Right now, we are coming up with more exciting ideas that we can put into action. Even though we have access to thousands of AI models and platforms like Hugging Face with over a million models, many teams still find it tricky to make AI work for them and find it dizzying to select the best AI solution. There will be even more confusion with the growing trend for AI agents and a GI. More pressure for companies, more products, but still little knowledge on how to bring AI value to the company. Because of FOMO, 82% of firms declare investment in AI, despite 50% being unclear on its business impact or how to implement it. In fact, about half of AI projects don't quite make it to the finish line, often because teams are still learning the ropes. And what my clients tell me is that they do not know which problems can be solved with AI and which will bring the most value to the company. Sometimes we see companies getting caught up in these common enthusiasm traps, selecting AI initiatives in the wrong way. First, getting excited about the latest AI buzz. Everyone has an LM, I want one as well. The second one is because other companies are doing it. Many times I hear that the competition implemented some AI solution, so we must catch up and have it too. The third one, the Yoda way, I feel it in my gut. So going with their instincts instead of data. And the fourth reason, because the headquarters made us do it without exploring the local needs. According to the BCG report, only 26% of companies have developed the necessary set of capabilities to move beyond proofs of concept, and the main challenges for them are so-called 70-20-10 principle. So, 70% of challenges stemming from people- and process-related issues, 20% attributed to technology problems, and only 10% involving AI algorithms. However, the companies who are in the lucky group gain significant value from AI. They have achieved 1.5 times higher revenue growth, 1.6 times greater shareholder returns, and 1.4 times higher ROI. They also excel in non-financial areas, like client and employee satisfaction. Let's break down the path to success into four friendly steps. First, pick your challenge. Find solvable problems where AI can really make a difference. Second, create your plan. Pick or design solutions that will solve the problem. Third, check the feasibility. Make sure you have what you need to succeed. And the fourth one, choose wisely. From a list of ideas, select the ones that will make the biggest positive impact. I'll guide you step by step, teach you strategies that actually work in practice, and share with you the best practices. Ready? Let's start then!