Computer vision: digital understanding of the physical world From face recognition to fire prevention, autonomous cars to medical diagnosis, the promise of video analytics has enticed technology innovators for years. Video analytics, the processing and analysing of visual data through machine learning and artificial intelligence, is perceived as a significant opportunity for edge computing.
As Kubernetes environments become increasingly complex, the balance between reducing expenses and maintaining high performance is paramount. Businesses must leverage cost optimization tools to navigate this complexity without compromising on efficiency. These specialized tools provide crucial visibility into clusters, nodes, pods, and containers, allowing for precise management of resources and costs.
In this post, we’ll be taking a closer look at Home Assistant, an open source platform for connecting your smart devices at home. We’ll walk through every important section of Home Assistant: dashboards, integrations, add-ons, devices and entities, automation, scripts, and scenes. In addition, we’ll be walking through how to set up your Home Assistant and create automation using Home Assistant’s graphical user interface.
In a recent article published by Economic Times on Dec 29, 2023, titled “Banks Told to Explore Dashboard with Real-Time Info on Services,” the Reserve Bank of India (RBI) has urged banks to embrace real-time transparency through the creation of an online dashboard. Anodot, a leader in business monitoring, is at the forefront of transforming the banking sector with its advanced real-time business monitoring dashboard designed for internal usage within banks. What does this mean?
As businesses expand and adapt to the digital era, the need for scalable cloud services becomes paramount. Scalability—the ability of a system to handle growing workloads—ensures that enterprises can thrive without hardware constraints. Industry leaders such as Azure and AWS have been at the forefront of this evolution, continuously enhancing their platforms to provide seamless scalability.
Time difference analysis is a method of analyzing data points at regular time intervals over a set period. However, in time series analysis, we derive crucial information such as the variance of the variables among data points over a period of time. This gives additional information on how the data adapts over time. This can be used to analyze data during different trends at different time intervals.
Just in time for your holiday viewing! Learn how to solve real-time time series processing challenges with Quix—the stream processing framework using Kafka and Python—and purpose-built time series database InfluxDB.
