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Five Essential Data Architecture Principles

Data Architecture principles are a set of policies that govern the enterprise data framework with its operating rules for collecting, integrating, using, and managing data assets. The basic purpose of the Data Architecture principles is to keep the supportive data framework clean, consistent, and auditable. The overall enterprise Data Strategy is built around these principles. […]

How Artificial Intelligence Can Improve Diagnostic Health Care

Click to learn more about author Ahmer Inam. How might artificial intelligence (AI) help physicians diagnose medical conditions more effectively? This question grows more important each year. Approximately 400,000 hospitalized patients experience some type of preventable harm each year, costing the health care industry $20 billion, according to NCBI. Mistakes hurt everyone – first and foremost patients, […]

The Third Pillar of Trusted AI: Ethics

Click to learn more about author Scott Reed. Building an accurate, fast, and performant model founded upon strong Data Quality standards is no easy task. Taking the model into production with governance workflows and monitoring for sustainability is even more challenging. Finally, ensuring the model is explainable, transparent, and fair based on your organization’s ethics […]

How to Become a Data-Driven Enterprise

Click to learn more about author Matthew Baird. Over the past few years, becoming “data-driven” has emerged as a popular objective for organizations across a variety of industries. Simply put, being data-driven involves leveraging existing operational and customer data as well as external data sources for both tactical and strategic decision-making. Such an approach complemented […]