Overview

Reactive Publishing Enterprise AI Analytics provides a practical framework for using Python, business data, and modern analytical methods to support decision systems inside organizations. Designed for analysts, managers, consultants, data professionals, and business leaders, this book explains how enterprise data can be structured, evaluated, and transformed into more useful decision workflows. Rather than treating artificial intelligence as a vague buzzword, it focuses on the practical mechanics of applying AI-assisted analytics to real business problems. Inside, readers will explore how to work with business datasets, design analytical pipelines, apply Python-based methods, interpret model outputs, and connect technical analysis to operational and strategic decisions. The book emphasizes clarity, governance, repeatability, and business relevance, helping readers understand not only what analytical systems can do, but how they should be built responsibly within an enterprise environment. Topics include: Enterprise data structures and analytical workflows Python methods for business analytics AI-assisted reporting and decision support Model interpretation and validation Operational dashboards and performance signals Risk, governance, and responsible AI use Designing decision systems for repeatable business value Whether used by a business analyst expanding into AI analytics, a finance or operations professional working with data, or a technical reader building enterprise decision tools, this book offers a grounded approach to turning business data into structured analytical insight.

Full Product Details

9798196050244

Table of Contents

Reviews

Author Information

Tab Content 6

Countries Available