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Why data governance is essential for enterprise AI

IBM Big Data Hub

Because of this, when we look to manage and govern the deployment of AI models, we must first focus on governing the data that the AI models are trained on. This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. and watsonx.data.

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Avoid generative AI malaise to innovate and build business value

CIO Business Intelligence

Sixty-six percent of C-level executives are ambivalent or dissatisfied with the progress of their AI or GenAI efforts, according to Boston Consulting Group 1. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. 1 From Potential to Profit with GenAI, Boston Consulting Group, Jan.

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8 data strategy mistakes to avoid

CIO Business Intelligence

“Organizations often get services and applications up and running without having put stewardship in place,” says Marc Johnson, CISO and senior advisor at Impact Advisors, a healthcare management consulting firm. They also need to establish clear privacy, regulatory compliance, and data governance policies.

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Finding Data Quality

Jim Harris

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? I hope that you enjoy reading this blog post, but most important, I hope you always remember: “Data are friends, not food.” Data Silos. You, Data-Dude, takin’ on the defects.

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Salesforce certification guide: Roles, paths, exams, cost, training, requirements

CIO Business Intelligence

Salesforce certification overview Salesforce certifications are based on a role-based scheme centered on six roles: Administrator, Architect, Consultant, Designer, Developer, and Marketer. According to a study by Indeed.com , 70% of Salesforce developers in the US are satisfied with their salaries given the cost of living in their area.

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Top 10 Data Lineage Podcasts, Blogs, and Magazines

Octopai

Specifically, when it comes to data lineage, experts in the field write about case studies and different approaches to this utilizing this tool. Among many topics, they explain how data lineage can help rectify bad data quality and improve data governance. . TDWI – Philip Russom. Malcolm Chisholm.

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The unCatalog and Less Cow Bell

Andrew White

This parlous sate is enshrined in the current fallacy that every D&A governance program should start with the acquisition of a data catalog. The logic, promoted by some consulting and software vendors, is that you ‘can’t govern what you don’t know you have’. Modern data governance starts very differently.