IBM has acquired Israeli data observability start-up Databand for an undisclosed sum in a deal that it says will help to improve machine learning models by catching bad data early.
What is Databand?
Founded in 2018, Databand produces software that is designed to help organisations improve the quality of their data. It says it does this by fixing errors, pipeline failures and poor-quality elements before they reach machine learning models.
It is the fifth acquisition for IBM in the AI and hybrid cloud space this year. These include the takeover of Envizi in January, a data and analytics software provider for environmental performance management and Microsoft Azure consultancy firm Neudesic in February.
IBM says its goal with the acquisitions is to strengthen its software portfolio across data, AI and automation in an attempt to address the “full spectrum of observability”.
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