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Enterprise Architecture: Secrets to Success

erwin

data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)? Data Overload : How do we find and convert the right data to knowledge (e.g., big data, analytics and insights)? operating strategy, global business services and shared services)?

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Six keys to achieving advanced container monitoring

IBM Big Data Hub

Containers’ development speed enables organizations to build, deploy and scale new business services quickly. Linux namespaces and cgroups, Windows silos and job objects) to isolate processes and control the amount of CPU, memory and disk that those processes can access.

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ALL Data as a Service (DaaS/BDaaS) - EAs in a New Role, as DaaS Enablers

Interactive Information Management

And, you'd like this information (all of it, or lots of it) right now, in an easily consumable, visual, semantically-relevant way - to share with your community and to be automatically (or easily) ingested by your other systems or analysis tools. The consumer assigns and realizes value from the service.

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Upskilling and reskilling for talent transformation in the era of AI

IBM Big Data Hub

One such example: applications can refactor COBOL code for mainframes into modular business service components. Skill-gap analysis Organizations can input a ton of information about their employees’ performance and certifications and use machine learning to identify areas where they need more training.