The Importance of Load Balancing in Last-Mile Logistics
As the industry evolves, load balancing will remain crucial for seamless, data-driven, and customer-centric last-mile logistics
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
As the industry evolves, load balancing will remain crucial for seamless, data-driven, and customer-centric last-mile logistics
In this week's real-time analytics news: Oracle announced the general availability of MySQL HeatWave Lakehouse, which lets users query data in object storage …
The transition to the cloud has become a critical strategic move, but organizations must approach this migration with careful
Researchers have assembled a computer vision system that uses AI and optical measurement technology to detect, classify, and visualize product defects in real …
In this week's real-time analytics news: IBM announced the rollout of IBM watsonx, its enterprise-ready AI and data platform.
Squishy Robotics has collaborated with major fire departments and aims to develop mobile models of its robots in addition to its current stationary
Stream processing and real-time responsiveness can significantly improve existing customer care processes and data
By analyzing real-time data generated by IoT devices, organizations can gain actionable insights to drive informed decision-making, enhance operational …
A sign of the times...an AI startup has announced a generative AI platform aimed at automating workflows for customer support
Analytics reporting can be intimidating, especially for non-technical and analytical users working with large amounts of data. Simplifying the process will …