Shaping Tomorrow’s Workplace: Revolutionizing Internal Knowledge With AI Chatbots
Xorbix Technologies, Inc., a leading provider of innovative software and IT solutions, has partnered with a large food manufacturing company in Wisconsin to revolutionize internal knowledge management through the implementation of an AI chatbot system. Leveraging innovative technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Automation, Xorbix has developed a comprehensive solution tailored […]
A Beginner’s Guide to Computer Vision: History, Techniques, and Future
Computer vision is a subfield of artificial intelligence that enables machines to interpret and understand the visual world.
Neural Networks: Exploring Types and Their Applications
Neural networks find applications across diverse domains such as computer vision, natural language processing, robotics, healthcare, finance, and more.
How Generative AI Can Help Banks Manage Risk and Compliance
The finance industry is increasingly turning to Generative AI to address various aspects of risk and compliance.
Protecting ML Models from Adversarial Attacks
Adversarial Machine Learning (AML) sits at the intersection of cybersecurity and artificial intelligence, representing both the threat from malicious actors and the need to protect AI systems.
Automate 2024: A CTO’s Perspective on the Future of Tech
Our goal at Xorbix is to help businesses optimize their operations, improve accuracy, and drive innovation.
Influence of AI on eCommerce Data Streaming
AI is changing how eCommerce handles data streaming, allowing for quick decision-making.
Effective Use Cases for Machine Learning and Large Language Models
As the field of artificial intelligence continues to evolve, the debate around the appropriate use cases for traditional machine learning versus the more advanced large language models (LLMs) has become increasingly relevant.
The Impact of Data Quality on AI: A Comprehensive Guide
Data quality significantly influences the performance and dependability of Artificial Intelligence models.
Data Collection Strategies for AI and ML Models
Data serves as the lifeblood of Artificial Intelligence (AI) and Machine Learning (ML) models, powering their development, refinement, and performance.