Prescient·Dec 19, 2023Why are Edge Data Pipelines Hard to Productionize?An edge data pipeline transfers data from edge sources, such as machines, sensors, or historians, into a data warehouse. It often not only…
Prescient·Oct 26, 2023MING Stack Demystified: MQTT, InfluxDB, Node-RED, and GrafanaIn today’s data-driven world, the ability to efficiently process, analyze, and visualize data is paramount. The MING Stack, an acronym for…
Prescient·Oct 23, 2023How to Manage Industrial Assets in a Remote EnvironmentManaging assets in a remote environment has transitioned from a futuristic concept to an operational necessity. The global shift towards…
Prescient·Oct 16, 2023Beyond Predictive Maintenance: How Prescient Enhances Asset Productivity with Digital Twins and…In the realm of asset management, the term “predictive maintenance” often takes center stage. However, Prescient’s perspective on asset…
Prescient·Oct 3, 2023The Importance of Data Analytics in Industrial Asset ManagementIn the accelerating world of Industry 4.0, data analytics is not just a buzzword; it’s the very bedrock of modern industrial asset…
Prescient·Sep 21, 2023Operational Digital Twins: Why Your Manufacturing Business Needs It and How to Get OneIn the fast-paced world of manufacturing, staying ahead of the curve is no small feat. You’ve got machinery to maintain, quality to…
Prescient·Aug 29, 2023Operational Excellence with Insight Integration in a Data-Driven WorldIn today’s digital age, businesses are inundated with vast amounts of data. This data, if processed and analyzed correctly, can provide…
Prescient·Aug 24, 2023Industrial Data as a Service: Accelerating AI and Digital Twin ProjectsIn the realm of Artificial Intelligence (AI) and digital twin solutions, data is the lifeblood that fuels innovation and drives…
Prescient·Aug 24, 2023How to Build Efficient Low-code Operational Digital TwinsIn today’s digital revolution, the concept of the Operational Digital Twin stands out as a beacon of innovation. But what does it entail…
Prescient·Aug 24, 2023How can you ensure data quality for industrial data?In a recent conference, AI pioneer Andrew Ng argued that AI development needs to focus more on data, and less on models.
