EDITOR ’ S QUESTION
The third challenge hinges on building trust – specifically by ensuring that customer data is not compromised , and the organisation data is not going to go to training an external model . Snowflake solves this problem by bringing the models and the AI applications to the data and not the other way around . This ensures data stays within the confines of the organisation ’ s security perimeter and that all the security policies and controls applied to the data are protected .
Finally , there is the challenge of lack of relevant skills . A typical business may have business analysts and data scientists , but they are not likely to have the skills to build and manage AI platforms . The SnowflakeAI Data Cloud enables data analysts , data scientists , and data practitioners to build AI applications and help organisations improve productivity and efficiency without having to learn and build complex AI platforms or stitch together multiple complex Data and AI tools .
How can organisations effectively implement Gen AI and what needs to be in place before organisations leverage on Gen AI ?
The first step is to create a data foundation that offers a single-pane view of structured , semi-structured , and unstructured data . A lot of the value provided by large language models ( LLMs ) comes from unstructured data , be it text or images . The Snowflake platform enables this by anchoring the data foundation on unified data and universal governance . This eliminates silos to enable any architectural pattern , while supporting all data types and workloads .
Before deploying any model , it is crucial to identify what information needs protecting and
34 INTELLIGENTCIO APAC www . intelligentcio . com