Emphasis on AI and Data Quality

Artificial intelligence is identified as a pivotal element for software delivery at scale, guiding organizations towards greater efficiency and effectiveness. However, the success of AI initiatives heavily relies on the foundational aspects such as data quality, which has been a barrier for many industries where AI investments have failed. The notion that organizations must excel at the basics is emphasized, highlighting data governance and the need for a structured lifecycle to prepare data for consumption. Understanding and mastering these foundational elements enable organizations to build upon them, ultimately allowing more advanced technologies to flourish.