Data Gravity and Its Impact on Cloud Strategy
Data gravity is inevitable. Decentralized storage, AI-driven orchestration, and provider-agnostic data fabrics can help make mobility a real option
Data gravity is inevitable. Decentralized storage, AI-driven orchestration, and provider-agnostic data fabrics can help make mobility a real option
AI projects often fail to scale due to poor data quality and siloed pipelines. Learn how DataOps provides the governance, automation, and real-time …
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 is about marrying speed with control. An event-driven, streaming-based architecture provides a blueprint for doing exactly …
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 …
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 …
An internal data marketplace is the missing handshake between builders and consumers. Following these critical steps for building a marketplace will empower …
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 …
Picking the right database can make or break your AI project. Besides strong integration capabilities, cost-effectiveness and scalability are also key …
While MQTT and OPC UA are suitable for different use cases, they are often used together. Such a hybrid approach enhances interoperability between cloud …