Core Insights - Fractal has launched LLM Studio, an enterprise platform designed to help organizations build and manage domain-specific language models tailored to their business needs [2][6] - The platform aims to provide enterprises with more control over model governance, deployment, and management, moving beyond generic, API-only large language models [3][6] Group 1: Product Features - LLM Studio allows businesses to design, build, evaluate, and operate language models using open-source models, leveraging NVIDIA AI infrastructure [4][5] - The platform includes two main modules that ensure model responses are aligned with an organization's approved data, reducing hallucinations and enhancing reasoning quality [4] - It supports a wide range of applications and is user-friendly, catering to teams with limited coding experience [7] Group 2: Market Context - Enterprises are transitioning from experimentation with generative AI to seeking solutions that are governed, cost-predictable, and reliable in production [3][6] - There is a growing trend towards the adoption of smaller, purpose-built models that can be fine-tuned for specific functions and domains [3] Group 3: Company Background - Fractal is a publicly listed global enterprise AI company serving Fortune 500 organizations, with a vision to enhance decision-making across enterprises [2][8] - The company employs over 5,000 professionals globally and has received multiple recognitions for its workplace culture and leadership in AI and analytics services [11]

[MUSIC] Hi, I'm Moiz Kohari with DDN, and we're going to show you a AI workflow that applies to all industries, financial services, life sciences, and others. At the end of the day, you're bringing in data from multiple data sources. In our case, we're bringing in direct market feed from Polygon. This market feed is going over Kafka queues and being persisted into DDN's Infinia S3 product. Once that has been persisted, we leverage NVIDIA's NIM Microservices to curate that data. And once that data has be ...