How AI Solutions Are Transforming Businesses Across the United States
Artificial Intelligence (AI) has moved beyond experimentation and is now a core driver of business transformation across the United States. From startups to large enterprises, organizations are adopting AI solutions to improve efficiency, enhance decision-making, and remain competitive in rapidly evolving markets. At Brigita, we closely track how AI is being applied across industries and […]
Brigita’s Approach to AI-First Digital Transformation
Digital transformation is no longer optional—it is essential for businesses that want to stay competitive in a fast-changing digital economy. At Brigita, we follow an AI-first digital transformation approach that helps organizations move beyond traditional modernization and unlock real business value using Artificial Intelligence (AI), Generative AI, advanced analytics, and cloud-native technologies. Our strategy is […]
How Brigita Helps Enterprises Adopt Generative AI
Generative AI is revolutionizing how enterprises operate, innovate, and create value. From automating content creation to generating predictive insights, this advanced technology allows businesses to improve efficiency, enhance customer experiences, and make smarter decisions. Enterprises across India, USA, UAE, GCC, and Dubai are rapidly exploring Generative AI, and Brigita is at the forefront, helping organizations […]
Building Test Suites for GenAI Applications: Manual & Automated Strategies
As Generative AI (GenAI) technologies rapidly evolve, they are reshaping industries through intelligent text generation, image synthesis, and autonomous decision-making. However, testing such systems presents new challenges. Unlike traditional software, where outputs are deterministic, GenAI systems produce probabilistic and context-sensitive responses. This unpredictability calls for innovative testing frameworks that combine both manual and automated approaches […]
Hybrid RAG Implementations: Combining Local and Cloud LLMs for Smarter Retrieval-Augmented Generation
In recent times, Retrieval-Augmented Generation (RAG) has become a powerful approach to make Large Language Models (LLMs) more reliable, accurate, and up-to-date. But as organizations grow, so does their need for flexible and secure RAG systems. That’s where Hybrid RAG comes in — a setup that combines Local and Cloud-based LLMs to get the best […]