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
As data-driven organizations strive to harness the power of modern analytics to make informed business decisions, the amount of data flowing into business systems continues to grow exponentially, forcing companies to constantly innovate on how they ensure the quality of their data. Choosing the
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
Quality Management (QM) has evolved remarkably in recent years, transitioning from a compliance-centric practice into a strategic component essential for operational excellence and continuous improvement. This transformation has been largely driven by the incorporation of data and artificial
Small and medium-sized businesses (SMBs) are the backbone of the global economy, comprising over 95% of businesses worldwide. However, to thrive in today's competitive landscape, these businesses cannot afford to remain complacent. Innovation through advanced technologies like artificial
Digital transformation has become a buzzword in today's business landscape, yet for many organizations, achieving it remains elusive. An often-overlooked barrier to successful digital transformation is data literacy. Data literacy—the ability to proficiently read, write, and communicate d
