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?
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 But, much of the data is stored in silos in outdated infrastructure.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.
In this blog, we will make the case for multi-model NoSQL databases as the answer for your state agency’s data integration headaches—including some success stories from the field.
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.