TALKING

Effective data handling done properly reduces risks and enhances decision-making, making unlocking the value of unstructured data for GenAI initiatives easier.

datasets to learn patterns, so choosing the correct data is critical for producing accurate, useful, and unbiased results.

Often overlooked is how data stored in the data lake is turned into quality datasets. If you put garbage in, you will get garbage out, therefore, we can’ t overlook this critical first step of data preparation and management.

Much like managing traffic on a busy highway, we must ensure smooth data analysis to prepare it for training

GenAI models. If we get the data where it needs to be first, we can achieve the ROI promised by LLMs.

Modern data management is a requisite for GenAI

Historically, there have been no tools to help manage the unstructured data since it has just been far easier to add storage. Accumulation rates have jumped sharply higher in recent years and growth will continue due to AI and machine-generated data. That means it’ s prime time to adopt modern data management technology that will help you stay on top of the curve. It’ s time to start focusing on the management of data versus the devices on which data is stored.

Data management technology can provide deep insights and actionable intelligence on unstructured data, giving organizations the power to effectively train GenAI models with high-quality data. Effective data handling done properly reduces risks and enhances decision-making, making unlocking the value of unstructured data for GenAI initiatives easier. p

38 INTELLIGENTCIO NORTH AMERICA www. intelligentcio. com