Real-time Analytics News for the Week Ending April 6
In this week's real-time analytics news: A new consortium composed of several industry-leading companies seeks to upskill and reskill those people that will …
Topic: Analytics
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Real-time Analytics News for the Week Ending March 30
In this week's real-time analytics news: MLCommons released the results of its latest machine learning benchmarking tests.
5 Use Cases for Advanced Data Analytics Across Diverse Industries
These examples in five industries demonstrate the value of advanced data analytics across different disciplines and the benefits it delivers for different use …
Unleashing Hidden Potential: Proactive Capacity Management with Advanced Analytics and AI in E-Supply Chains
By embracing innovative technologies and adopting a proactive approach to capacity planning, companies can optimize resources, improve operational efficiency, …
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
Real-time Analytics News for the Week Ending March 16
In this week's real-time analytics news: AWS announced support for a second database engine to run near real-time time-series
Gartner Keynote: Be AI-ready to Empower Change
Business success is dependent on having AI-ready data. The way to ensure that is through an iterative process based on the availability of metadata to measure, …
From Insight to Action: The Path to Operational Excellence Through Data
Achieving operational excellence through data-driven strategies demands more than just technological upgrades; it necessitates a comprehensive approach …
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
GenAI: Redefining Data-Driven Transformations
A disciplined approach to data engineering is the foundation of an effective GenAI strategy, which is needed to enable data-driven transformation.