To complement this initiative, KX has launched KXperts, a developer advocacy program that enables members to deepen their involvement and engage in thought leadership, collaboration and innovation.

Strategic Acquisition will Enhance Capabilities in Capital Markets, Banking Operations and Asset Servicing, Strengthening Client Offerings GloballyNEWTOWN, Pa. and NEWRY, N. Ireland, Oct. 7, 2024 /PRNewswire/ -- EPAM Systems, Inc. (NYSE: EPAM), a leading digital transformation services and product engineering company, today announced its agreement to acquire First Derivative, a Northern Ireland-headquartered managed services and consulting business for the capital markets industry with more than 1,800 employees worldwide and major delivery capability in the U.K., Ireland, North America and APAC. Strategic Acquisition will Enhance Capabilities in Capital Markets, Banking Operations and Asset Servicing, Strengthening Client Offerings Globally. EPAM will leverage First Derivative's strong industry experience and brand to deliver a comprehensive set of AI-enabled end-to-end capabilities to clients in banking, capital markets and other financially regulated businesses across North America, Europe and APAC

NEW YORK--(BUSINESS WIRE)--KX, a global leader in vector-based and time-series data management, has announced the integration of its vector database KDB.AI with LlamaIndex, an open-source framework that streamlines the ingestion, storage, and retrieval of datasets for Retrieval-Augmented Generation (RAG) applications. This collaboration empowers developers to augment Large Language Models (LLMs) with contextually accurate information, and in turn, provide more precise and relevant responses to end user queries.“We are thrilled to be working with KX to streamline the development of RAG-enabled LLM applications,” said Jerry Liu, Co-founder/CEO of LlamaIndex. “KX has the profound ability to generate, store and run similarity searches quickly, efficiently and in real-time. This integration with KDB.AI is enabling us to make accurate, relevant and simplified AI applications more accessible to developers and allow for organizations to successfully continue their AI adoption journeys.”Because of a lack of time-oriented data being fed into LLMs, they often have limitations in the quality of the information they can provide, resulting in outdated insights and contributing to hallucinations. Combining the capabilities of RAG and the availability of time-oriented data can alleviate these challenges and enhance LLM performance with real-time external data, significantly improving response quality and contextual relevance.KDB.AI is a highly-performant, scalable, vector database for time-orientated generative AI and contextual search. When integrated with LlamaIndex, KDB.AI simplifies the process of building sophisticated RAG applications for developers and ultimately improves the accuracy of their LLM's responses