Baltimore Bridge Collapse: The Urgent Need for Real-Time Supply Chain Interoperability
Interoperability may be the key to enabling real-time supply chain end-to-end visibility, enhanced collaboration, and heightened customer
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Interoperability may be the key to enabling real-time supply chain end-to-end visibility, enhanced collaboration, and heightened customer
URPs are motivated by escalating business demands for smarter operational applications that can leverage up-to-the-second data to make faster and better …
IoT is widely used in InsurTech, playing a crucial role of real-time data analytics in modern insurance
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 …
In this week's real-time analytics news: MLCommons released the results of its latest machine learning benchmarking tests.
These examples in five industries demonstrate the value of advanced data analytics across different disciplines and the benefits it delivers for different use …
By embracing innovative technologies and adopting a proactive approach to capacity planning, companies can optimize resources, improve operational efficiency, …
The maturation of predictive and real-time intelligence in manufacturing is a natural progression along the path to a data-centric approach to
In this week's real-time analytics news: AWS announced support for a second database engine to run near real-time time-series
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, …