Putting the "I" Back into BI
In today's rapidly evolving data analytics landscape turbo-charged by AI, businesses require an informationally-scalable infrastructure. "Enterprise Intelligence" offers a comprehensive framework integrating modern advancements like data mesh, knowledge graphs, and Large Language Models. The book addresses governance issues, providing a robust foundation for decision-making in an AI-driven world.
Expanding BI Analyst Horizons with AI In the landscape of Business Intelligence (BI), the integration of AI and advanced reasoning in the enterprise is essential for staying afloat. To fully integrate with AI, traditional BI analysts, accustomed to working with empirical data and generating reports, must now expand their skills to include deeper analysis, evaluation, … Continue reading Exploring the Higher Levels of Bloom’s Taxonomy
In the pursuit of data-driven excellence, quick and well-informed decision-making is crucial for enterprises. Online Analytical Processing (OLAP) facilitates this by enabling rapid analysis of multidimensional data. Despite challenges from big data and cloud technologies, OLAP's role has resurged in managing vast data volumes, supporting complex analysis, and bridging structured and unstructured data for enterprise intelligence.
The book "Enterprise Intelligence" by Technics Publications, set to release on June 21, 2024, advocates for integrating AI with Business Intelligence to enhance enterprise performance. It emphasizes the importance of critical/creative thinking alongside AI and details a framework for Augmented Enterprise Intelligence. The book explores the merge of BI data and advanced AI to build adaptable and thriving enterprises in a rapidly evolving business landscape.
Soft Coded Logic 