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How process mining improves IT service management to save your business time and money

IBM Big Data Hub

Similarly with ticket reopens: if a ticket is reopened after being resolved, it indicates the need to address an issue with training or IT resources. The first step towards optimization requires giving IT service managers tools to see the flow of tasks and tickets within their system.

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? When used strategically, text-mining tools can transform raw data into real business intelligence , giving companies a competitive edge. How does text mining work?

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Five open-source AI tools to know

IBM Big Data Hub

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions.

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3 new steps in the data mining process to ensure trustworthy AI

IBM Big Data Hub

Often the bias creeps in through training data and then is amplified and embedded in the model. To help data scientists reflect and identify possible ethical concerns the standard process for data mining should include 3 additional steps: data risk assessment, model risk assessment and production monitoring. Data risk assessment.

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Microsoft discovers cryptomining campaign targeting Kubeflow tool for Kubernetes clusters

Security Affairs

” Hackers are targeting Kubernetes clusters because nodes used from ML operations have huge computational capabilies making them ideal for fraudulent mining purposes. This fact makes Kubernetes clusters that are used for ML tasks a perfect target for crypto mining campaigns, which was the aim of this attack.”

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AI and the Digital Humanities at CILIP Conference 2024

CILIP

That project and other work at the British Library showed that researchers can create innovative Digital Humanities methods and improve collections data with current AI / machine learning tools. Glen gave some great examples of how IIIF can help organisations and researchers, and how AI tools might work with IIIF collections.

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How to unlock a scientific approach to change management with powerful data insights

IBM Big Data Hub

Grasping these opportunities at IBM, we’re increasingly building our specialism in process mining and data analysis tools and techniques we believe to be true ‘game changers’ when it comes to building cultures of continuous change and innovation. CoE = Center of Excellence = Accelerator for Change.

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