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 …
Topic: Big data platforms
Why Data Literacy Is Key to Unlocking AI Innovation
Bridging the gap between AI potential and real-world impact requires a strategic investment in data literacy. Organizations that train their workforce, …
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 …
Embracing Modern Live Data Pipelines is Key to Scaling Enterprise AI
As businesses advance their LLM deployments from pilot to production, the emphasis needs to be on adopting real-time, adaptive, and automated data frameworks. …
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 …
5 Steps to Creating a Blueprint for Successful Cloud Migration in Healthcare
Healthcare organizations undergoing cloud migrations to modernize operations face challenges that are common to those encountered by many organizations today. …
Top 10 Hadoop Data Migration Traps
Avoiding these 10 pitfalls will ensure Hadoop data migration success and help avoid costly business risk along the way.
5 Trends Reshaping the Data Landscape
Survey finds that the increased interest in generative AI and predictive AI, as well as the need to support traditional analytical workloads, is leading to a …