"Data is critically important to almost any business - it's the lifeblood that makes an organisation function. But managing, leveraging and realising the commercial advantage of data is also hard. If fully leveraging data is difficult enough, the bar is only getting higher - with AI changing the game. Traditionally, approaches to data have been through a systems-focused lens, ensuring that the systems a business operates on have the requisite data flowing through them."
"But now, the task has moved to ensuring that data is AI-ready. This means that it needs to be properly tagged so that AI applications know what the information is, where it came from and how it has been used before. This enables the AI to understand what the data signifies without having to interpret it for itself. Without this, the AI might guess incorrectly, leading to mistakes, unintended consequences and even hallucinations."
Data provides the foundation for organisational function and commercial advantage, but managing and leveraging it is difficult. AI raises the bar for data readiness by requiring clear tagging of information, provenance, and usage history so AI systems can interpret data correctly and avoid errors or hallucinations. Robust data governance with clear policies, rigorous standards, and lifecycle management including consistent curation and secure storage preserves data accuracy and reliability. Building a data team with defined roles and processes is imperative, and teams must be established before pursuing extensive AI deployments amid competitive talent markets.
Read at ComputerWeekly.com
Unable to calculate read time
Collection
[
|
...
]