Enterprise AI is evolving rapidly, with trusted data and modern infrastructure playing crucial roles in its success. As organizations increasingly rely on AI to drive decision-making and innovation, ...
As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...
The Rise of Logical Data Management by Christopher Gardner is a thoroughly researched and timely guide for understanding how organizations can rethink their data architecture at a moment when AI, ...
Embracing modern architecture is now a necessity for staying competitive and innovative. Automation of high-quality data is at the forefront of modern data architecture, with security and flexibility ...
Businesses are racing to harness sprawling data across multiple cloud platforms. Ashitosh Chitnis stands at the forefront of this movement—an architect of scalable, enterprise-grade data solutions ...
Becoming truly data-driven remains a key goal—and pressure—for organizations seeking to transform its infrastructures. Cultivating a modern, scalable data architecture, capable of delivering ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
In the current landscape of pervasive connectivity, data has become an indispensable asset for enterprises, particularly within the automotive sector. According to a 2019 McKinsey & Company report, ...
The healthcare industry, much like other industries, is witnessing a surge in data growth due to Electronic Health Records (EHR), medical imaging, population sequencing, and claims processing.
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