Remove Data Quality Remove Experimentation Remove Prescriptive Analytics
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Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

As part of a data fabric, IBM’s data integration capability creates a roadmap that helps organizations connect data from disparate data sources, build data pipelines, remediate data issues, enrich data quality, and deliver integrated data to multicloud platforms. Data science and MLOps.

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Data trust and the evolution of enterprise analytics in the age of AI

CIO Business Intelligence

Revisiting the foundation: Data trust and governance in enterprise analytics Despite broad adoption of analytics tools, the impact of these platforms remains tied to data quality and governance. times more likely to report successful analytics initiatives compared to those with ad hoc approaches.

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Your data’s wasted without predictive AI. Here’s how to fix that

CIO Business Intelligence

Prescriptive analytics: Moving from knowing to doing Prescriptive analytics answers the question: What should we do about it? This is where we blend optimization engines, business rules, AI and contextual data to recommend or automate the best possible action. Each one on its own can derail momentum.