Data quality is becoming a hot button issue as more and more businesses aggressively move into artificial intelligence (AI)—both generative and operational—which requires massive amounts of accurate and timely data.
The rise of large language models (LLMs)—both publicly available as well as contained within enterprises—to support business decision making and customer communications means data is being pressed into service in new and highly demanding ways as training data and real-time streaming feeds.
