The biggest mistake organizations make when implementing AI chatbots

Worldwide spending on chatbots is expected to reach $72 billion by 2028, up from $12 billion in 2023, and many organizations are scrambling to keep pace. As companies race to develop advanced chatbots, some are compromising performance by prioritizing data quantity over quality. Just adding data to a chatbot’s knowledge base without any quality control guardrails will result in outputs that are low-quality, incorrect, or even offensive. This highlights the critical need for rigorous data hygiene practices to ensure accurate and up-to-date conversational AI software responses. More data ≠ Better data A smaller dataset of high-quality, accurate information can be… [Continue Reading]