As we approach AI projects, the statistics associated need to be viewed through a critical and strategic lens. The high initiation rate reflects the undeniable importance of AI for future competitiveness. However, the alarmingly high failure rate demands immediate attention. We must move beyond the
Google Next ’25 and AlloyDB Innovations The recent Google Next ’25 conference provided a deep dive into the Google Ecosystem, with a standout session focusing on AlloyDB’s latest advancements. Two particularly noteworthy innovations in both AlloyDB (cloud) and AlloyDB-Omni (on-premise) are poised to make a
This post we are going to look at some items related to getting started with Generative AI. This is mostly related to how I got started looking at GenAI and what I presented this year at the Rocky Mountain Open User Group (RMOUG). The presentation
Artificial intelligence (AI) is transforming how businesses operate, and one of the most exciting areas is Retrieval Augmented Generation (RAG). RAG allows AI models to answer questions and generate content by accessing and referencing external data, making them far more accurate and relevant. But for
Large Language Models (LLMs) have revolutionized many aspects of technology and business. However, the effectiveness and accuracy of these models are heavily reliant on the quality and currency of the data they are trained on. Feeding LLMs with fresh data is not just a best
Data governance and artificial intelligence (AI) are two powerful forces shaping the future of organizations. When combined, they offer immense potential but also introduce complex challenges. RheoData, the subject matter experts, will outline the positives and negatives of this intersection. Positives of Data Governance and
As AI Experts,RheoData understands the increasing integration of Artificial Intelligence (AI) into various aspects of business operations. With this integration comes the critical need to address AI ethics, particularly how AI should be used without bias to accomplish tasks set out by management. This post
Building a Data Governance Framework Data governance is crucial for any organization looking to leverage its data effectively. It provides a structured approach to managing, using, and protecting data assets. Let’s break down how to build a data governance framework in a simple and understandable
Data Governance with Oracle GoldenGate This document outlines how Oracle GoldenGate contributes to and supports data governance practices within an organization. Introduction Data governance is crucial for maintaining data quality, security, and compliance. Oracle GoldenGate, a comprehensive data integration and replication software, plays a significant
Data Governance Explained Data governance is the overall management of the availability, usability, integrity, and security of data in an organization. In simpler terms, it’s about making sure the right people have the right data at the right time, and that the data is accurate