Everyone Wants to be Data-Driven, but Few Want to do the Driving
Analytics-aversed organizations lack dedicated leadership to evangelize and guide their transformation thus inhibiting the goal of being
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Analytics-aversed organizations lack dedicated leadership to evangelize and guide their transformation thus inhibiting the goal of being
A digital twin allows a business decision-maker to test and validate a complete set of strategies and objectives across teams and make smart decisions that …
Cities are utilizing climate platforms to better inform them of the effects of environmental policies and decisions on reducing carbon
In this week's real-time analytics news: Several companies announced generative AI offerings or enhancements to their product lines.
The work of farming has grown more complex and is generating more and more data. Establishing a good relationship with that data makes everything easier.
In data-informed organizations, AI/ML and workflow orchestration function as a kind of intelligent research assistant, operating at scale without interruption.
Study correlates the use of real-time data with higher revenue growth and increased developer productivity.
In this week's real-time analytics news: TigerGraph’s new version of TigerGraph Cloud includes new security, advanced AI, and machine learning
The high-fidelity digital twins will help telcos optimize tower placement, manage networks, and build stronger, more stable telecom
By understanding the particular strengths of RabbitMQ and Apache Kafka, you can ensure that you’re using the right message queue platform for your use