Posted by: Salvatore Salamone Editor in Chief Exploring Artificial Intelligence Variants and Their Uses Artificial intelligence (AI) refers to the simulation of human intelligence in systems that are programmed to think like humans and mimic their actions. AI includes a broad range of technologies including cognitive computing, deep learning, expert systems, machine learning, natural language […]
The common thread across all AI technologies is the ability to impart human-like decision-making capabilities into applications and systems.
An overview of GPU advances, how some companies are already using the tech, and why GPUs are key to cognitive computing.
With AI-powered optimization, service delivery organizations can benefit from the combination of data analysis at scale and in real-time, and the ability to consume information in an easy to digest format.
In this week's real-time analytics news: IBM announced it is acquiring HashiCorp in a move designed to address infrastructure complexity in the age of Generative AI and hybrid/multi-cloud.
When selecting URP products, organizations must start with a clear understanding of the project goals, business requirements, and more. Here are some points to consider in the evaluation process.
In this week's real-time analytics news: There were lots of cloud data and AI-related announcements from the Google Cloud Next 2024 conference.
IoT is widely used in InsurTech, playing a crucial role of real-time data analytics in modern insurance processes.
In discussing the future of manufacturing with IoT and industrial connectivity, it's essential to focus on a key element: democratized data. This concept is crucial because it connects all the dots from technology adoption to practical implementation strategies.
The impact of bad user experiences and the focus of a QoE approach far outweigh those of an outage, which is the priority for a QoS approach.
