Why DataOps Is Critical to Successfully Scaling AI
AI projects often fail to scale due to poor data quality and siloed pipelines. Learn how DataOps provides the governance, automation, and real-time …
Topic: Big data architectures
Working at the Edge: Realizing the Full Value of Distributed Intelligence and Its Role in Modern Data Strategy
The edge has become an active layer of enterprise execution, where decisions are made, value is created, and real work gets done. As organizations continue to …
Orchestrating Real-Time Fulfillment: Architecture Patterns from High-Velocity E-Commerce
Orchestrating real-time fulfillment is about marrying speed with control. An event-driven, streaming-based architecture provides a blueprint for doing exactly …
Data Immediacy’s Next Step
Data immediacy goes beyond the concepts of streaming data and data-in-motion. It adds the dimension that data has a very specific time value. The less recent …
Navigating the Data Immediacy Readiness Scale
Data immediacy is not a buzzword; it's a capability that separates leaders from laggards in the modern enterprise. The Data Immediacy Readiness Scale provides …
Building an Internal Data Marketplace That Delivers: 10 Essential Steps for Success
An internal data marketplace is the missing handshake between builders and consumers. Following these critical steps for building a marketplace will empower …
Why Data Catalogs are Becoming Commodities…and What Comes Next
For CDOs and data leaders, the imperative is clear: move beyond the data catalog mindset. Embrace platforms that provide a holistic view of data health and …
7 Reasons PostgreSQL is a Great Choice for AI Projects
Picking the right database can make or break your AI project. Besides strong integration capabilities, cost-effectiveness and scalability are also key …
A Closer Look at Modern Industrial Communications Protocols
While MQTT and OPC UA are suitable for different use cases, they are often used together. Such a hybrid approach enhances interoperability between cloud …
How the Intersection of Taxonomies, Ontologies, and Semantic Layers Drives Business Growth
The integration of taxonomies, ontologies, and semantic layers is essential for modern enterprises aiming to harness the full potential of their data.