August 7th, 2024 WRITTEN BY Fresh Gravity Tags: data management, Industry-agnostic
Fresh Gravity’s DOMaQ tool enables business users, data analysts, data engineers, and data architects to detect, predict, prevent, and resolve issues, sometimes in an automated fashion, that would otherwise break production analytics and AI.
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Written by SoumenChakraborty, Vice President, Artificial Intelligence Introduction Over the past two years, Large Language Models (LLMs) have dominated the AI conversation. From copilots to chatbots, they’ve been positioned as the universal answer to every problem. However, as enterprises begin to apply them to their data management problems, the cracks are starting to show – high costs, scalability issues, and governance risks. At Fresh Gravity, we’ve been […]
Written By Preeti Desai, Sr. Manager, Client Success and Colin Wood, Strategy & Solutions Leader, Life Sciences In the world of bio-pharmaceutical development, Chemistry, Manufacturing, and Controls (CMC) is often described as the regulatory backbone of any product submission. Yet, despite its critical role, CMC remains one of the most underutilized, least digitized, and most […]
Written by Siddharth Mohanty, Director, Data Management Evolving Agentic AI Landscape Artificial intelligence (AI) is developing quickly, moving from basic assistants to self-governing systems that can act and make decisions with little human supervision. Generative AI, AI agents, agentic AI, and now the Model Context Protocol (MCP), a ground-breaking framework that standardizes how AI communicates […]
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