In-database machine learning for big data entity resolution
Supplied by on Tuesday, 26 October, 2021
The data being collected by organisations is increasing relentlessly, but it still can give a misleading or fragmented view of the real world. A person could have multiple digital entities within the same database, due to typos, name changes, aggregation of different systems and so on. If we try to merge two databases, how do we match entities, when the ID systems might be different or contain errors?
Learn about an efficient approach for the entity resolution problem. A native graph database with massive parallel computing capability is the best tool to implement the approach.
Connecting with citizens — private sector tips for public sector success
Learn how to streamline your key regulatory processes and create a connected and transparent...
How to drive government employee engagement with payroll
Examine the influences that payroll has on employee engagement, morale and wellbeing. Learn...
Battling fraud and compliance issues in the public sector
Learn how your government body can maximise your accountability, boost compliance and...