Intelligent Business Operations: Architecting Data-Driven Decision Systems for Hospitality, Digital Platforms, and Modern Enterprises
DOI:
https://doi.org/10.47392/Eclearnix.2026.B054Abstract
Intelligent Business Operations: Architecting Data-Driven Decision Systems for Hospitality, Digital Platforms, and Modern Enterprises Objectives: 1. To provide an understanding of autonomous enterprises and examine how Generative AI is transforming traditional business operations into intelligent, self-optimizing ecosystems. 2. To explore the concepts of agentic workflows, AI-driven decision-making, and autonomous processes that enable organizations to improve agility, efficiency, and innovation. 3. To analyze the applications of Generative AI in hospitality and digital platforms, focusing on hyper-personalization, customer engagement, and operational excellence. 4. To examine the role of strategic intelligence, Digital Twins, and simulation-based planning in supporting proactive decision-making and organizational resilience. 5. To investigate the ethical, security, and governance challenges associated with autonomous enterprises and identify best practices for building trustworthy, transparent, and responsible AI systems. Table of Contents CHAPTER 1 The Evolution of Intelligent Operations: From Intuition to Data-Driven Certainty CHAPTER 2 Architecting the Modern Data Stack: Data Lakes, Meshes, and Pipelines CHAPTER 3 Bridging the Gap: Integrating Machine Learning into Business Logic CHAPTER 4 Bridging the Gap: Integrating Machine Learning into Business Logic CHAPTER 5 Smart Hospitality: Personalizing Guest Journeys with Predictive Analytics CHAPTER 6 Dynamic Yield Optimization: AI-Driven Pricing Strategies for Service Industries CHAPTER 7 Platform Power: Engineering Scalable Architectures for Digital Marketplaces CHAPTER 8 Intelligent Supply Chains: Leveraging IoT and Predictive Logistics CHAPTER 9 The Customer 360 Framework: Unifying Data for Deep Behavioral Insight CHAPTER 10 Operational Intelligence: Using Process Mining to Eliminate Friction CHAPTER 11 Trust by Design: Navigating Data Governance, Ethics, and Security CHAPTER 12 Visualizing Success: Designing Effective Decision Support Systems CHAPTER 13 Cloud-Native Operations: Scaling Enterprise Systems for Global Reach CHAPTER 14 The Human Element: Building a Culture of Analytics and Data Literacy CHAPTER 15 The Next Frontier: Generative AI and the Future of Autonomous EnterprisesDownloads
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Published
2026-06-10
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Copyright (c) 2026 International Research Journal on Advanced Engineering and Management (IRJAEM)

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