CIO OPINION
Data infrastructure for specialization
To ensure maximum preparation for the next evolution of language models, organisations must ensure the way they approach system training and data management is aligned to specialist models that are smarter without necessarily being bigger. Achieving this is the next step in machine intelligence on the pathway to general artificial intelligence and true reasoning, but it may demand an infrastructure refresh. Today’ s LLMs often rely on static batch data uploads, which limit adaptability and time relevance. The xLMs of the future need to be underpinned by something more dynamic.
Smarter systems need pipelines that do not simply feed them static data to ingest, but ones that feed models with a combination of live, streaming, structured and unstructured data. They also need to uphold organizational governance and security standards. Flexibility is paramount when designing future-proof data pipelines so that language models can be applied to new, currently unthought-of use cases without the need for resource-intensive replatforming.
40 INTELLIGENTCIO LATAM www. intelligentcio. com