Lindsey Coombs is a Senior Editor for data and AI at SAS. She researches and writes on topics covering advanced analytics and evolving tech like generative AI. Lindsey is a seasoned communicator with more than 18 years of experience writing content for a broad range of industries and audiences. She is passionate about the safe and ethical use of technology that benefits humanity.
Organizations that report successful AI initiatives invest up to 4 times more (as a percentage of revenue) in foundational areas, such as data quality, governance, AI-ready people, and change management, compared with those that experience poor AI outcomes, according to Gartner. These organizations recognize that an accurate model, useful prediction
AI gets the spotlight. Data does the work. Across industries, organizations are racing to adopt large language models (LLMs), build AI assistants and explore autonomous agents. This ambition is understandable. AI promises faster decisions, new efficiencies and entirely new ways of working. But amid the excitement, many leaders are overlooking
Improve AI readiness, governance and trust by establishing a modern data estate.
