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Deployable architecture on IBM Cloud: Simplifying system deployment

IBM Big Data Hub

There are several key characteristics of a deployable architecture, which include: Automation : Deployable architecture often relies on automation tools and processes to manage deployment process. This can involve using tools like continuous integration or continuous deployment (CI/CD) pipelines, configuration management tools and others.

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Mainframe and the cloud? It’s easy with open source

IBM Big Data Hub

Mainframes sported green-screen terminals (or terminal emulators), mainframe-specific tools and programming languages, and entirely different ways of organizing and accessing data, managing security, and leveraging any operating system-level functionality. Understanding one is essential to understanding the other.

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Top GRC Tools & Software for 2021

eSecurity Planet

Data privacy regulations like the EU’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) can be hard to navigate for businesses of any size, but GRC tools can simplify and streamline compliance with all of the requirements. Contents: Top GRC tools comparison. RSA Archer.

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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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Process Excellence: A transformational lever to extreme automation

IBM Big Data Hub

A Process Mining exercise drawing data from enterprise SAP has helped measure KPI performance and define the transformation roadmap. Learn more about IBM Process Excellence The IBM Process Excellence practice leverages the leading process mining tools across the IBM ecosystem and partners.

Mining 70
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How AI is helping companies meet sustainability goals

IBM Big Data Hub

AI tools like ChatGPT are grabbing headlines, but other AI techniques and tools specifically designed for enterprises are quietly helping companies meet their sustainability goals. Anomaly detection: Some manufacturers have zero-defect goals. I previously led technical teams that helped customers with their AI implementations.

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How to Prevent Data Breaches: Data Breach Prevention Tips

eSecurity Planet

Finally, the transportation management data is still important to protect, but perhaps not as financially or legally critical as the others. A CRM at a large financial services company might have an RTO of 15 minutes, while a storage archive for cold data may have an RTO of 12-24 hours.