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FMEA (Failure Mode and Effects Analysis): A Quick Guide to Minimizing Defects and Faults in Your Projects
Problems and defects are expensive. Customers understandably place high expectations on manufacturers and service providers ...
Salesforce expands AI platform with new data governance tools as 80% of enterprise AI projects fail to deliver value, targeting $7 billion market opportunity.
This first part of a four-part series describes the shifts in focus needed to address project teams’ failures. Q1. Which root cause of bad decisions do science project teams most typically neglect? Q2 ...
Somewhere in your organization, an AI project is dying. Perhaps it's the recommendation engine that was supposed to boost sales by 30%. Maybe it's the predictive maintenance system that promised to ...
Data drives smart decision-making in modern industries, but the old saying still holds true: “Garbage in, garbage out.” The quality and completeness of the data pulled for analysis play a huge role in ...
Contrary to marketing hyperbole, the data shows that enterprises are not charging into AI with abandon in 2024. But for those that do, what will constitute AI success, or failure? Here's how companies ...
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