04131nam a22005175i 4500 979-8-8688-1044-2 DE-He213 20251030114633.0 cr nn 008mamaa 241221s2024 xxu| s |||| 0|eng d 9798868810442 979-8-8688-1044-2 10.1007/979-8-8688-1044-2 doi Q334-342 TA347.A78 UYQ bicssc COM004000 bisacsh UYQ thema Kaiser, Abhinav Krishna. author. aut http://id.loc.gov/vocabulary/relators/aut 83096 AI Integration in Software Development and Operations [electronic resource] : Transformation Through AI Infusion in DevOps, Testing, and SRE / by Abhinav Krishna Kaiser, Vamshi Meda. 1st ed. 2024. Berkeley, CA : Apress : Imprint: Apress, 2024. XIX, 318 p. 50 illus., 49 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Chapter 1: First Steps in AI and DevOps -- Chapter 2: Double Click on Machine Learning -- Chapter 3: Software Development and AI Augmentation -- Chapter 4: Planning and Requirements Management in Projects -- Chapter 5: Integrating Generative AI in Software Design and Architecture -- Chapter 6: AI Infusion in Software Build and Development -- Chapter 7: Infusing AI into Software Testing -- Chapter 8: AI in Continuous Delivery -- Chapter 9: Operations, Observability and Site Reliability Engineering. Discover how Artificial Intelligence (AI) is transforming the fields of software development, testing, and IT operations by enhancing efficiency, reducing human error, and accelerating processes. This book showcases the practical applications of AI-driven tools, such as automating coding, testing, and operational tasks, predicting potential issues, and optimizing performance. Aimed at digital leaders, practitioners, and customers, this book provides strategic insights and actionable guidance on how to integrate AI technologies to boost productivity, enhance product quality, and streamline development cycles. It serves as a comprehensive guide for those looking to leverage AI to drive innovation, cut costs, and stay competitive in an ever-evolving technological landscape. You’ll explore how AI can be integrated into software development, testing, and IT operations to improve efficiency, accuracy, and speed. Through real-world use cases, you’ll see how AI-driven tools can automate tasks, reduce human error, and improve processes across the development lifecycle. AI Integration in Software Development and Operations offers actionable insights on using AI to accelerate innovation, enhance product quality, and optimize costs in your modern software and IT environments. You will: Review the SDLC lifecycle, DevOps, SRE and accompanying topics Understand machine learning basics, AI techniques, and data preprocessing for DevOps Explore how AI integration into all phases of SDLC boosts productivity, increases effectiveness, and reduces human error Gain a familiarity with AI tools, their use cases, and the value in integrating them. Artificial intelligence. 58441 Software engineering. 33953 Artificial Intelligence. 58441 Software Engineering. 33953 Meda, Vamshi. author. aut http://id.loc.gov/vocabulary/relators/aut 89357 SpringerLink (Online service) Springer Nature eBook Printed edition: 9798868810435 Printed edition: 9798868810459 Printed edition: 9798868813429 https://doi.org/10.1007/979-8-8688-1044-2 ZDB-2-CWD ZDB-2-SXPC 65935 65935