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Concurrent with the rapidly evolving digital landscape, enterprise data management is poised for transformative change in the coming years. At the same time, organizations driven by exponential data ...
Enterprise data management (EDM) is the framework organizations use to manage data across systems, teams and workflows. It ...
The most impactful data visualization tools give everyone across the data lifecycle the ability to present data analytics and machine learning models in meaningful ways. Organizations should focus ...
SLM is a key element of Siemens’ strategy to use a digital twin to address complex challenges and drive innovation effectively. A digital twin of a product is a virtual representation of the actual ...
Intelligent data pipeline startup DataBahn LLC said today it has closed on a $17 million early-stage funding round. The ...
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Tech Xplore on MSNAI-driven lifecycle management for end-of-life household appliancesHousehold appliances need to be refurbished and/or recycled at the end of their useful lives. The KIKERP project (see below) aims to harness artificial intelligence to collect information about used ...
AI is rapidly transforming healthcare, but for that transformation to be for the good we must ensure it is safe and ethical.
The convergence of AI and product lifecycle management marks a fundamental shift from static documentation to dynamic, self-optimizing systems. Future PLM platforms will prioritize predictive ...
Download this TDWI Playbook today to learn how you can advance your data science with AI-infused tools while minimizing risk ...
SmartStream, the financial Transaction Lifecycle Management (TLM®) and solutions provider, has announced the expansion of its AI-driven reconciliation and data management platform, SmartStream ...
Project Lifecycle Management: Close out projects efficiently by securely revoking external access and applying pre-configured retention, archival, or deletion policies once a project is complete.
Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its most fundamental level, the goal is to ensure an organization’s entire body of data ...
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