XenonStack Recommends
The organization's real-time AI adoption has an impact on execution strategy. The execution of new projects or initiatives, such as the addition of intelligent devices for operational efficiency, the enhancement of real-time product recommendations, or the creation of new business models for real-time, typically takes place at the edge of an organisation by specialists, evangelists, and other innovative people.
Train models with the most up to date, accurate, real-time event datasets, synced with customer behaviour and business operations
Bring ML to real-time datasets, instantly ingesting data at massive scale without managing complex infrastructure and ops
Maintain raw data, features, and models in Astra to streamline regulatory processes, reuse and model optimization
Developing a vision for real-time artificial intelligence to unify leadership and reduce complexity to make data actionable for delivering real-time AI solutions. Use open-source frameworks and technologies to apply AI and machine learning to your most valuable company data and discover insights to get reliable, actionable results quickly without moving data.
Facial Recognition is an instance of biometric software that maps a person's facial traits and stores the information as a face print.
Design Real-time Face Detection and Recognition Systems
Involves performance monitoring and equipment condition monitoring during regular operations to reduce the chances of a breakdown.
Chatbots can consistently manage customer interactions 24x7 while continuously improving the quality of the responses and keeping costs down to automate workflows and free up employees from repetitive tasks.
Artificial intelligence opens new possibilities for robotic automation by enabling robots to sense and respond autonomously to their external environment in real-time.
AI is a significant component in the popularisation of self-driving cars. It can significantly evolve the radar, cloud connectivity, camera, control signals and GPS of the vehicle, making it easier to operate and safer to use.
Google Cloud Vertex AI
Helps in retrieving the latest feature values with low latency for highly accurate predictions, and extracting real-time datasets for training.
Building Real Time AI with AWS Fargate
Analyses and interprets the contents of structured and unstructured data, particularly audio and video and provide valuable insights to customers.
Azure Real time AI for Data Streaming
Provides a high-level example of a low-code, end-to-end lambda architecture for real-time and batch data streaming and covers how to deploy machine learning models for real-time and batch inference.
Define the future of applications, fueling growth and driving innovation with Real Time AI
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
Enterprise AI
Big Data Engineering
Generative AI
DevOps
Data Science
Data Visualization
RESET
Introduction to Computer Vision The direction of self-supervised learning (SSL) can be considered one of the most promising in the rather unstable field of computer vision. As a result, a number of...
In the rapidly evolving landscape of IT asset management (ITAM), staying ahead of the curve is essential. Amazon Q, with its advanced analytics and AI capabilities, provides a powerful platform for...
Introduction to IT Operations Management In an era where technology is a pivotal driver of business success, the management of IT operations has become a critical factor for organisations aiming to...
Introduction to Apache Kafka In a data-driven approach, business decisions are based on data, not intuitions. Hence, data-driven organizations use this strategic process to leverage insights from...
Real-Time Event Processing with Kafka As the industry grows, that produced has also increased in the changing scenario. This data can be a great asset to the business if analyzed properly. Most tech...
Understanding Data Integration Data integration is the process of combining data from disparate sources to provide users with a unified view.
Empowering Security Operations with Agentic AI and Agents Technological advancements in the digital sphere are growing rapidly, and as a result, organizations are beset with an increasing number of...
Gen AI in Customer Success In less than a year, generative AI has significantly improved, changing how we think about creativity and productivity. It has transformed various fields, from image to...
Introduction to Generative AI and Intelligent Automation Generative AI and Intelligent Automation are two groundbreaking technologies reshaping various industries and processes. Both are integral...
Introduction of AI in DevOps LifeCycle In today’s fast-evolving world, AI is revolutionizing industries by driving rapid advancements, not only in software development but also in DevOps. While...
What is Application Release Orchestration? Application release orchestration is the coordination of the tasks associated with the deployment of software updates over different release environments,...
What is Release Engineering? Release engineering is a new and rapidly growing subject of software engineering. It derives the standards for application development and is seriously followed to ensure...
What is Federated Learning? Federated learning is a Machine Learning technique that involves training an algorithm through several decentralized edge devices or servers that carry local data samples...
Evolution of Analytics in the last decade Around ten years ago, the tools for analytics or the available resources were Excel, SQL databases, and similar relatively simple ones compared to the...
Introduction to Real-Time Analytics Data without context is worthless. All our efforts will be in vain if we hesitate to act, pivot, or modify. We can examine every rock and draw every potential...
Introduction to Streaming Data Visualization Streaming Data Visualization gives users Real-Time Data Analytics to see the trends and patterns in the data to take action rapidly. It is the control of...
Introduction to Data Visualization Data Visualization is a method of translating raw data into visual forms like charts, graphs, and maps. It has quickly become famous for publishing information on...
What is user Experience Testing? User experience testing is having actual people engage with a website, app, or other product you've created and analyzing their behaviours and reactions. It is a...
Clutch Review for Big Data and Cloud Consulting XenonStack Joins Clutch’s Research of Best Big Data and Cloud Consulting Companies. Read more about the review XenonStack Big Data Analytics Consulting...
Introduction The transition to 5G is not just a small step forward; it's a groundbreaking move that revolutionizes the entire spectrum of wireless communication. While much has been said about public...
Introduction In today's digital age, the need for faster and more reliable network connectivity is more crucial than ever. Whether you're streaming video content, playing online games, or running a...
In today's fast-paced digital world, large-scale application management is important. As companies more readily embrace microservices frameworks, the dilemma of deployment, scaling, and maintenance...
Introduction SLO-Based Multi-Stage Delivery The software development industry is very dynamic, and there is always a demand for delivering quality applications. Developed software is required to be...
What is Chaos Engineering? Chaos engineering is an approach to today’s software systems that seeks to strengthen the internal integrity of the system by subjecting it to experiments in live...
Introduction to Adaptive Security Adaptive Security is a real-time security model or approach that continuously investigates behaviors and events to protect against the threat and adapt to the...
Introducing AWS Security Services AWS Security is responsible for protecting the global infrastructure that runs all Amazon Web Services cloud services and the cloud itself. This infrastructure...
Introduction Large Language Models, or LLMs, have emerged as powerful tools for the industry that have the potential to transform a variety of sectors. They can make inventive create text, interpret...
Introduction Generative AI is revolutionizing urban landscapes, catapulting cities into a future where technology complements and enhances every aspect of urban living. This digital transformation...
The landscape of financial markets and wealth management is rapidly evolving, driven by advances in technology and data science. Among the most promising developments is applying Reinforcement...
In today's modern enterprise, engineering leaders must prioritize quality assurance in software delivery to ensure software's rapid and flawless delivery. Millions of customers use various devices...
Find out more about levaraging the true potential of AI
Deep learning
Neural Networks
Model Visualization
Artificial Intelligence
Assisting organizations to undertake necessary measures at the right time by scanning data faster.
Analysing data using machine perception, classification, or labelling raw input.
Understand the work procedure of Model Visualization and how it quantifies its impact on the business.
Get detail information about how AI Adoption changes the way of working for all industries.