IoT in InsurTech: Revolution of the Insurance Industry
IoT is widely used in InsurTech, playing a crucial role of real-time data analytics in modern insurance
Topic: Real-Time Decisions
Delivering nearly instantaneous decisions based on rules and predictive analytics; software generates decisions within a business process and reveals insights by analyzing data flowing through processes in real time to create actionable intelligence.
Building Manufacturing’s Real-time Intelligence Future
The maturation of predictive and real-time intelligence in manufacturing is a natural progression along the path to a data-centric approach to
Four Kinds of Software to Process Streaming Data in Real Time
A look at the four kinds of software that perform real-time analytics on event streams and when to use
Do You Need to Process Data “In Motion” to Operate in Real Time?
Quick answer: No, you don’t always need data in motion to operate in real time. However, some high volume/low latency real-time systems do use data in motion …
Real-time Analytics News for the Week Ending February 10
In this week's real-time analytics news: Cisco and NVIDIA will team up to deliver optimized infrastructure for demanding AI workloads.
Our Bodies, Our Data: Enter the Sensored Human
Wearables and other sensors designed to collect data about humans are finding new applications across a number of fields.
Real-time Decisions – On your Mainframe!
Make your transactions more profitable, more effective, and cheaper to handle by adding real-time decisions to your mainframe
Unified Real-Time Platforms
Unified Real-Time Platforms (URPs) are a new category of software designed to handle demanding applications that deal with both streaming data and data at …
The Last Mile of Data Analysis Stood in the Way of Real-Time Decision-Making, Then AI Came Along
AI-boosted business intelligence will simplify query generation and empower data analysts to delve deeper into data analysis by producing comprehensive reports …
Is Real-time Analytics Truly Real?
Use cases that demand real-time analytics need a combination of technologies, including distributed storage, a distributed query engine, and caching, to handle …