Integrating IoT Data with Digital Twin Knowledge Graph
The creation of a DigitalTwin knowledge graph data model confronts the need for access to measurement data in order that the DigitalTwin can create timely performance met...
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Today’s Most Vital Question: What is the Value of Your Data?
Question: Do you know which of your data sources are most valuable to the business? A recent paper by PwC titled “Putting a value on data” raised the “Spectre” (�...
Leveraging Exploratory Data Analysis (EDA) to Operationalize Your ML Pipeline
In the lingo of artificial intelligence, subjecting the machine learning models to real-world environments wherein they can act on the real-world data and generate the pr...
Top Trends for Big Data Analytics in Healthcare
Healthcare is one of the most data-intensive industries in the world. With hospitals, clinics, and doctors all collecting patient information daily, it’s no wonder ...
Things I wish I knew before working as a Big Data engineer
Before telling about my experience in my career path as an aspiring data scientist, I want to give a brief introduction about myself. I have always been motivated by the ...
Protect Your Data in the New Normal: Focus on Security Strategy
No enterprise or business would want to be a victim of a cyberattack. However, online presence is a prerequisite for businesses today. Online presence is a vital tool for...
Drone swarms, other weapons lethality trends and their data implications
The State of the Union (SOTU) address is an annual event. On the night of the event, both houses of the US Congress, President and Cabinet, military leaders, members of t...
Optimize Data Warehouse Performance with These 4 Tools
As the amount of data being produced in the world increases, it is becoming essential to create systems to store, handle, and manage this existing data. The primary objec...
DSC Webinar Series: Prescriptive Analytics: The Data Scientist’s Master Key to a Turbulent Future
In this latest Data Science Central webinar, find out why companies like Uber, Air France, SAP, and the NFL use Prescriptive Analytics for continuous innovation. Leading ...
What is Data Quality Management?
In the modern world, every organization is propelled forward by data. As organizations continue to collect more data, the need to manage the quality of the data has becom...