At AWS AI Conclave 2025, industry leaders and tech visionaries witnessed a significant breakthrough in AI innovation. LUMIQ introduced LiteCone, a family of AI knowledge workers that represents a transformative development for the insurance sector. Additional sessions explored AI's evolution beyond chatbots, focusing on verticalized Small Language Models for claims processing and relationship management, with…

Generative AI and large language models (LLMs) have transformed the way businesses harness data to derive insights and make strategic business decisions. These models possess incredible power, and services like Amazon Bedrock and Amazon SageMaker Jumpstart have further amplified these opportunities and challenges, making it easier for businesses to integrate GenAI into their operations and…

Generative AI and large language models (LLMs) have become the talk of the town, promising revolutionary advancements. However, as enterprises rush to invest in these powerful models, I see many leaders and institutions overlooking significant risks: The necessity of proper context and the availability of reliable data and metadata. Without these critical components, we believe…

 In the previous blog, we explored the impact of Retrieval-Augmented Generation (RAG) from both a business and technical perspective, diving deep into how it can transform decision-making processes and be implemented using AWS Cloud infrastructure. However, a critical challenge that remains when using large language models (LLMs) is the issue of hallucinations—where models generate responses…

Background In 2023, Andreessen Horowitz published a fantastic architecture on building and deploying RAG-based LLM solutions (link here). Inspired by their work, we’ve developed and iterated on the framework to better support the integration of both RAG and Agents in modern Generative AI applications. Updated Reference Architecture for Agents & RAG Below is our Updated Reference Architecture…

Generative AI is reshaping financial services by evolving from decision support to autonomous decision-making. Learn about the AI-first enterprise future.

Ever since “reasoning” became available within AI, a new paradigm has emerged. Agents can now break down complex tasks into smaller ones and execute them with a focus on achieving a larger goal. This evolution raises a key question: How does AI-driven reasoning impact UI/UX and the way we interact with computers? We…