Remove Computer Science Remove Data Modeling Remove Data Silos
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Data Integrity: The Foundation for Trustworthy AI/ML Outcomes and Confident Business Decisions

ODSC - Open Data Science

As critical data flows across an organization from various business applications, data silos become a big issue. The data silos, missing data, and errors make data management tedious and time-consuming, and they’re barriers to ensuring the accuracy and consistency of your data before it is usable by AI/ML.

ML 98
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Meet the Final Winners of the U.S. PETs Prize Challenge

DrivenData Labs

Steven Wu is an Assistant Professor in the School of Computer Science at Carnegie Mellon University, with his primary appointment in the Software and Societal Systems Department, and affiliated appointments with the Machine Learning Department and the Human-Computer Interaction Institute.

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Data Intelligence empowers informed decisions

Pickl AI

Marketing Targeted Campaigns Increases campaign effectiveness and ROI Data silos leading to inconsistent information. Implementing integrated data management systems. Data Architect Designs and creates data systems and structures for optimal organisation and retrieval of information.