Warning Signs Your Organization Has Unreliable Data
Organizations that don't address the warning signs of unreliable data pay a steep price, and automated AI systems will drive that price up
Topic: Big data platforms
What is the State of Predictive Analytics in 2025?
In 2025, predictive analytics is being widely applied across industries to anticipate events, optimize operations, and personalize experiences in real time.
Why Layered and Agentic AI Demand a New Kind of Data Infrastructure
Agentic AI success requires platforms that can serve as immutable sources of truth while providing real-time streaming capabilities, contextual event …
Drowning in Data? Smart Content is Here to Help
Smart Content doesn’t just mean responsive documents that guide us. It will evolve into a dynamic corporate knowledge base and intelligent business process …
How Intelligent Data Clouds Are Reshaping Enterprise Personalization
Companies that move from fragmented systems to real-time, AI-powered customer data clouds will be best positioned to deliver meaningful personalization, …
Agentic AI Marks a Turning Point for Business – But Not Without Real-Time Dynamic Access to Business Data
The successful adoption of Agentic AI requires real-time and dynamic access to business data. Here, Edward Funnekotter, Chief AI Officer, Solace, discusses how …
How Intelligent Data Capture Transforms Information Chaos into Clarity
With the ever-increasing volume of data generated, Intelligent Data Capture is a tool for revolutionizing data management. By automating the extraction, …
Designing Low-Latency Systems for Real-Time Flight Availability
Delivering flight availability in real time (sub-second latency) under heavy load is challenging but achievable with the right architecture. Key strategies …
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 …
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, …