Artificial Intelligence Across Borders Transforming Industries Through Intelligent Innovation
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Artificial Intelligence Across Borders: Transforming Industries Through Intelligent Innovation
Author: Sibaram Prasad Panda
language: en
Publisher: Deep Science Publishing
Release Date: 2025-06-06
How Artificial Intelligence is Revolutionizing Healthcare, Finance, Agriculture, Education, and More. A practical, research-backed, and accessible guide that explores how AI is reshaping multiple sectors. Each chapter focuses on a different industry, illustrating real-world applications, use cases, benefits, challenges, and future trends. The book balances technical insight with real-life impact.
Intelligent Assurance: Artificial Intelligence-Powered Software Testing in the Modern Development Lifecycle
Author: Partha Mohapatra
language: en
Publisher: Deep Science Publishing
Release Date: 2025-07-27
Traditional testing can’t match the speed and reliability demanded in modern software development and releases. This book explains the integration of Artificial Intelligence is transforming software testing—enabling smarter, faster, and more scalable quality assurance across the development lifecycle. This book demystifies the integration of AI, machine learning, and natural language processing into modern testing workflows. From automated test case generation and defect prediction to adaptive test maintenance and intelligent prioritization, it offers practical insights and real-world applications that empower QA teams to deliver higher-quality software with greater efficiency. Through a structured, hands-on approach, readers will explore AI-driven testing strategies, tools, and architectures that align with DevOps and agile practices. The book also delves into ethical considerations, challenges in AI adoption, and the future of autonomous testing agents. Whether you're a software tester, QA lead, DevOps engineer, or technology decision-maker, this book equips you with the knowledge to embrace AI-driven testing as a strategic advantage in delivering resilient, secure, and high-performance software.
Scalable Artificial Intelligence Systems: Cloud-Native, Edge-AI, MLOps, and Governance for Real-World Deployment
Author: Swarup Panda
language: en
Publisher: Deep Science Publishing
Release Date: 2025-07-28
Artificial Intelligence (AI) has become essential across industries, transforming operations, decision-making, and value creation. As organizations worldwide use AI to address challenges in areas like healthcare, finance, cybersecurity, manufacturing, and infrastructure, the need for reliable and scalable AI systems continues to grow. This book offers practical guidance for professionals designing and deploying scalable, compliant AI solutions in production environments. It covers modernizing legacy systems, building MLOps pipelines, and addressing ethical aspects of autonomous AI, providing essential insights and patterns for real-world applications. We cover essential topics for enterprise AI success, such as scalable architectures (cloud-native, edge, hybrid), MLOps for lifecycle management, and governance for compliance and fairness. The text also outlines frameworks for explainable and federated AI in regulated fields, supporting privacy and distributed intelligence. We demonstrate AI's impact on diagnostics, fraud detection, threat intelligence, and urban planning through case studies, and review how platforms like Azure, AWS, and GCP support scalable AI deployment. This book highlights the need for ethical AI that upholds human values, privacy, and transparency. As AI shapes society, we must design, deploy, and govern it responsibly. I invite you to explore these chapters with a mindset of both innovation and accountability—as together, we shape a future powered by intelligent and responsible systems.