Blogs
AI-Driven Quants: Hype or Holy Grail for Family Offices?
Family offices have always played the long game. Built to preserve and grow generational wealth, they typically prize discretion, stability, and thoughtful investing. But...
AI for Compliance: Navigating the Healthcare Impact of U.S.-China Decoupling
A New Era in Healthcare Supply Chains The ongoing U.S.-China decoupling marks a significant geopolitical shift that is transforming global industries—none more critically than...
Data AI/ML Solutions for Telehealth & Telemedicine
Discover how Data Engineering, Artificial Intelligence (AI), and Machine Learning (ML) can reshape your telehealth and telemedicine offerings—improving virtual care delivery,...
FHIR in Healthcare: Why It Matters and What You Need to Know
Healthcare data has long been trapped in silos. Hospitals, clinics, labs, and payers often hold critical patient information in incompatible systems. That's where FHIR comes in....
Transforming Legacy Healthcare Software with AI & ML: A Future-Ready Approach
Healthcare is undergoing a dramatic transformation—and technology is at the core of it. But many healthcare providers still depend on legacy systems that are functional yet...
AI Agents in Action: Transforming Enterprises with DataOps and ML at Scale
In the ever-accelerating race to meet customer expectations and operational efficiency, enterprises in the US are embracing a new era of intelligent automation: AI agents. These...
Data Sources of Telecom VoIP Carriers and Their Usage in Engineering and AI/ML
In today’s rapidly evolving telecommunications landscape, Voice over Internet Protocol (VoIP) technology plays a pivotal role in providing cost-effective and scalable...
Empowering Algorithmic Trading with Advanced Data Engineering
In today's fast-paced financial markets, data is the backbone of successful trading strategies. At Rigel Networks, we specialize in turning raw, unstructured data into actionable...
Why Choose Rigel Networks?
AI and ML have moved from buzzwords to critical tools in solving complex problems. Organizations leverage AI/ML to enhance decision-making, automate processes, and provide
Your Tailored Journey to Unleashing Data Potential
DataOps, an emerging discipline, streamlines the development and operations of data pipelines. By integrating DevOps practices into data management, DataOps ensures rapid