Kate Ranta is a Solutions Marketing Manager at MarkLogic. She is a communications and marketing professional with a focus on digital content strategy, inbound marketing, social media campaign management, SEO, and project management.
Industry 4.0 connects digital and physical technologies—AI, robotics, cloud computing and more—to create more adaptable, responsive and unified enterprises with the ability to make more informed decisions. What challenges will manufacturers face in addressing this?
The Operational Data Hub (ODH) is a newer architecture pattern, so enterprise architects may wonder how it fits in with other technologies and architectural models that they’re already using and/or are familiar with. Let's explore how an ODH fits in with a service-oriented architecture model.
In case you haven’t heard, Industry 4.0 is here. It’s a significant transformation in the way products are produced, as a result of the digitization of manufacturing. Digitization helps ensure product quality and safety as well as faster service delivery, which goes a long way with customers.
Efficient data can lead to more effective service delivery in the public sector. But, much of the data is stored in silos in outdated infrastructure. Integrating data to merge these silos is notoriously difficult. Fortunately, there are solutions that can ease the pain, including the Operational Data Hub.
State agencies running multi-million dollar programs for vulnerable populations who rely on them are at risk for failing people due to flawed data stuck in silos. Let’s explore the impact of data silos on departments and why they’re a problem.
Many (probably most!) state governments in the U.S. struggle with the fact that the data their employees need to successfully and smoothly run their important programs is often lost in disconnected silos in a relational database. This is, ultimately, no good for public consumers who rely on these services.
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