Many employees aren't equipped to evaluate or question the outputs they receive from AI. This article from MIT Sloan explains the risk of "rubber-stamping" AI outputs without understanding the rationale behind them, and outlines strategies for building explainability into workplace systems. Read the article to learn how your organization can build a culture that embraces AI without surrendering critical thinking. For guidance on making AI a trusted tool, contact Metisc.
When Belfius, a prominent Belgian bank, started using AI and Machine Learning in operations, they struggled to synergize results for monitoring potential illegal activity. What did they do? Read this insightful customer story showing how by using Azure Machine Learning, Azure Synapse Analytics and Azure Databricks Belfius improved development time, increased efficiency and gained reliability. Read More...
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