The emergence of new technologies, including AI, IoT, and blockchain, in addition to the widespread embrace of digital transformation, has driven a dramatic increase in data. The reliance on data analytics to drive data-driven decision-making also requires large volumes of data for meaningful insights.
While AI and generative AI (GenAI) tools and systems contribute to the massive growth in corporate data, these systems do require large amounts of current and quality data to “feed” large language models (LLMs).
