Data is an invaluable resource for today’s enterprise. The large language models (LLM) upon which generative AI (GenAI) depends must be trained on data—typically lots of it. But quantity isn’t all that matters. Quality is also crucial. There is no AI exception to the “garbage in, garbage out” rule.

DataOps, DevOps, and cloud data platforms can all help here. Similar to how DevOps brings developers and operations together, DataOps maximizes the value of data by automating data management. Along with DataOps, cloud data platforms bring high-quality, optimized, consistently formatted data together in one place to break down the barriers between data creators and data consumers. Data can then move from being a raw material to becoming a currency to drive value. Data platforms also help address data security, privacy, and compliance concerns. All this paves the way for GenAI.