The author uses the examples of customer support chatbots and virtual assistants, which are often marketed as AI-powered but may rely on basic rule-based algorithms and pre-programmed responses rather than true AI technologies. He advises IT teams to test these solutions internally to determine their true capabilities. The article concludes by emphasizing the importance of app rationalization, where IT practitioners evaluate and scrutinize the AI tools they adopt to ensure they genuinely enhance productivity.
Key takeaways:
- Many SaaS companies marketing themselves as AI-driven may lack true AI-driven capabilities, a deceptive practice that could become more prevalent as AI gains popularity.
- IT practitioners are becoming more discerning and demand concrete evidence before embracing new AI-driven tools, due to past disappointments with overhyped solutions.
- Chatbots and virtual assistants marketed as AI-driven may rely on basic rule-based algorithms and pre-programmed responses, lacking advanced AI capabilities for meaningful conversations or complex task handling.
- IT practitioners must engage in relentless app rationalization, evaluating and scrutinizing the AI tools they adopt to ensure they genuinely enhance productivity and provide real value to their organizations.