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Data architecture translates business needs into data and system requirements and seeks to manage data and its flow through the enterprise.
Business value, training data, and cultural readiness are essential for AI success. Without all three, traditional solutions are your best bet.
Digital twins are real-time representations of objects, processes, and systems that can help organizations monitor operations, perform predictive maintenance, and improve processes.
The key to managing a mountain of data and disruptive technologies may lie in establishing a center of competency.
The time has come for digital transformation in the architecture, engineering, and construction industry. Here are 10 technology trends that will shape the future of infrastructure.
The marketplace is part of the company's Intelligent Data Management Cloud (IDMC) platform and is designed to allow enterprise users to share data sets, analytics, and AI models.
These days, every data transaction is a business transaction. That's why it's vital to build a data governance framework that's strong, secure, adaptable, and as error-free as possible.
Tableau is counting on Slack to make its data visualization tools more accessible and is adding new data prep and governance tools to make enterprise data more trustworthy.
BI and data visualization skills are in demand and Microsoft Power BI skills are a great way to get ahead. Here's our guide to Microsoft's Data Analyst Associate certification.
The digital era has most organizations pursuing the fruits of data-driven strategies. But ensuring payoff is more nuanced than most think.