Decoding evaluation of Gen AI models
Most industries are going through rapid transformation as a result of Generative AI (Gen AI). Within these industries, almost every department is either in the works of taking advantage of Gen AI or has definite plans to implement it in the near future. Building an LLM or Gen AI model is still expensive. The companies […]
Uses of Generative AI on Business Intelligence
In today’s fast-paced business world, effectively using data is crucial for success. The emergence of Generative Artificial Intelligence (AI) has brought new possibilities to Business Intelligence (BI), changing how organizations analyze data, make decisions, and improve overall performance. In this blog post, we’ll explore the various ways Generative AI is applied in BI and how […]
Mastering Precision: Navigating the Waters of Data Accuracy in Master Data Management (MDM)
In the ever-evolving landscape of data management, Master Data Management (MDM) emerges as the compass guiding organizations through complexity. At the heart of MDM lies data accuracy, the North Star ensuring the reliability and precision of master data. This blog delves into the significance of data accuracy in MDM, its impact on organizational success, and […]
Master Data Management, how to match and merge records to unify data.
Master data management (MDM) is the process of creating and maintaining a single, consistent, and accurate view of an organization’s data assets. MDM helps to ensure data quality, reduce data duplication, improve data governance, and enable data-driven decision-making. One of the key challenges of MDM is how to match and merge records from different sources […]
The Role of Consent Management in Gen AI Projects by a Business Analyst
The Role of Consent Management in Gen AI Projects by a Business Analyst In the swiftly changing field of generative artificial intelligence, the moral and legal structures that direct its application are becoming increasingly crucial. Consent management stands out as a fundamental component among them, guaranteeing that user data is treated with dignity and openness. […]