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It is now part of public sector consensus that high-quality data is essential to support transformation and the development of better services.
However, data is dynamic and requires careful management, human intervention can be time consuming and expensive, and organizations often find data to be a liability rather than an asset to support their citizens. I find it held and managed in such a way.
As more public institutions research potential AI, the issue is climbing higher on the agenda. AI holds great promise, but with data that doesn’t live up to its high specs, you run the risk of big problems.
To mitigate risk, organizations should focus on designing, collecting, and curating high-quality, contextualized data before training the algorithms they provide. It must be relevant to its purpose, complete, accurate, fair and managed in an ethical manner. Deploying a reusable data platform and building data literacy skills across the organization are key to making it work, but it takes time, investment, and a thoughtful approach to get it right. Is required.
This will provide the background for the upcoming UKA Live discussion, which will be held in partnership with Civica on Friday 19th May at 11:00 am and will explore the key issues of ensuring data is an asset, not a liability. increase.
Ask core questions such as the best approach to master data management, how to ensure data fluidity, and how to understand the basics before applying AI.
Robert Musekiwa, Digital Transformation Consultant for Birmingham City Council; John Campbell, Digital Transformation Program Director, Scottish Government; Bo Luang, Head of Data, Alzheimer’s Association; former Civica, now Koi’s top innovation; Mr. Chang Hung, the person in charge, will participate. Consulting, Helen Olsen, publisher of UKAuthority.
Those participating in the live conversation will have the opportunity to participate in the discussion with their own questions and comments, providing a great opportunity to broaden our understanding of what quality data means as the public sector moves into the AI era. .
