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The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

AI and change management Change management has long been instrumental to the success of AI projects. But, until this year, this was a relatively manageable problem since the AI projects had limited scope. This is the largest change management project in history,” says Greenstein.

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Follow Us: The Flexagon Roadmap

Flexagon

This experience includes deep knowledge of commercial, open source, and home-grown tools used today. These features work seamlessly with source control tools and built-in integrations with many open source or commercial technologies. secrets management tools like CyberArk and Azure Key Vault .

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Project management: Tips, tools, best practices

CIO Business Intelligence

Project management roles Depending on numerous factors such as industry, the nature and scope of the project, the project team, company, or methodology, projects may need the help of schedulers, business analysts, business intelligence analysts, functional leads, and sponsors.

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What is a project manager? The lead role for project success

CIO Business Intelligence

Closing phase: To complete a project, project managers must close all phases and procurements, settle budgets, hand over deliverables, conduct project post-mortems and reports, and return personnel to the resource pool Project management skills Effective project managers need more than technical know-how.

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6 BI challenges IT teams must address

CIO Business Intelligence

Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By

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3 Patterns for Business Success with Data

CIO Business Intelligence

In this article, I’ll explore the three execution patterns I’ve come across that have engendered success with data: cloud-native technologies, real-time data, and open source software. A real-time data pattern guides architects, data engineers, and developers in change management. 3) The open source software pattern.

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