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.
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.
La tecnología acelerada, como la IA, puede tener barreras de entrada. Ya sea infraestructura, limitaciones de datos, brechas de talento o cumplimiento de regulaciones que cambian rápidamente. Las organizaciones, desde la atención médica hasta la fabricación y el sector público, a menudo se ven obstaculizadas por estos obstáculos que pueden
