Data visualization has significantly evolved from its rudimentary beginnings, now bolstered by artificial intelligence (AI) and machine learning (ML). These advancements not only enhance the ease with which data is interpreted but also streamline complex, data-driven decision-making processes.
AtScale has made a groundbreaking announcement regarding the open-source release of the Semantic Modeling Language (SML) on September 12, 2024. This monumental step aims to democratize data analytics and promote greater interoperability across platforms and tools. By providing businesses and data
The article delves into the challenging yet rewarding process of building a data governance program, specifically focusing on how one can achieve this in a remarkably short span of just 90 days. The subject of analysis is the journey of Sherry Hidalgo, the director of data governance and MDM at
Artificial Intelligence (AI) is rapidly reshaping the landscape of data analytics and decision-making. By integrating AI-driven technologies like natural language query (NLQ) and chatbots, organizations across various sectors are unlocking unprecedented analytical capabilities. This evolution
The vast landscape of artificial intelligence has seen rapid advancements, particularly with the rise of generative AI technologies. Among these technologies, Retrieval Augmented Generation (RAG) systems stand out for their ability to leverage external knowledge to better inform AI outputs.
The rapid advancement of generative AI (GenAI) technologies is forcing organizations to make critical decisions about their data strategies. The challenge lies in balancing the immediate deployment of GenAI solutions with the long-term goal of comprehensive data integration. This article delves
Artificial Intelligence (AI) is revolutionizing the business world, and at the forefront of this change are AI-powered chatbots. These chatbots present a powerful way for companies to enhance customer service, streamline operations, and reduce costs. However, in the excitement to adopt these new
Artificial Intelligence (AI) has revolutionized numerous aspects of our daily lives and professional fields. Today, AI branches into two prominent paradigms: Generative AI and Traditional AI. While both types serve crucial roles, they employ distinct methodologies, cater to various applications,
In an ambitious move to modernize its manufacturing processes, Subaru is leveraging Informatica’s AI-powered Intelligent Data Management Cloud (IDMC) platform to streamline data from various business operations. This technological upgrade enables Subaru to merge data from development, procurement, m
In today's data-driven world, two professions stand out for their unique approaches to interpreting and utilizing data—Data Analytics and Actuarial Science. Both fields are pivotal in helping organizations make well-informed decisions, yet they differ significantly in their applications, i
