FEATURE : EDGE COMPUTING production use , enterprises may prefer fine-tuning such models on their proprietary data for greater relevance , accuracy and control . They can leverage open-source models or contract AI experts to develop customised , private models .
Key considerations for CIOs include understanding the specific use cases that are appropriate to their business and the desired outcome ; evaluating make-vs-buy options for model development based on in-house AI expertise and available resources ; choosing the right scalable infrastructure for training and inference ; deciding the best route to ensure low latency ; handling data governance and privacy ; and optimising costs .
Overall , while AI presents transformative opportunities , operationalising it requires careful planning around technology infrastructure , economic models , use cases and data strategies . Working with specialised AI cloud and consulting providers who understand and can meet expectations for delivering AI at the Edge , can accelerate effective AI adoption . p
www . intelligentcio . com INTELLIGENTCIO EUROPE 41