Surprising though it may sound, most AI business applications remain rudimentary. Some industry spectators believe the market is flush with cutting-edge AI breakthroughs. But in truth, many providers mislabel rules-based tools – including robotic process automation (RPA) – as AI and ML.
Seasoned DevOps teams and software engineers know that RPA – although useful in its own right – is not AI. RPA follows pre-established rules instead of adapting and learning with its environment. Adaptability remains a classic tenant of true AI. Without it, systems cannot grow and intuit new solutions – they remain woefully stagnant alongside existing data.
