Navigating the Challenges of AI Testing: The Ultimate Professional's Guide to Mastering Solutions

by Ilan Sezhiyan Jayaraman, Bidhu Ranjan Sahoo, Annu Roy

Overview

Navigate the complexities of AI testing with this authoritative guide, tailored for quality engineering professionals eager to enhance their expertise in evaluating AI-infused applications. This book provides an in-depth exploration of the challenges faced in developing AI testing platforms, offering actionable solutions and insights drawn from the author's extensive research and collaborations with industry experts. As AI reshapes industries worldwide, the responsibilities of quality engineers are rapidly evolving. This book equips professionals to adapt to these changes by delivering a clear understanding of AI testing methodologies, the challenges unique to AI systems, and the opportunities they present. The author shares a compelling personal journey from a mainframe developer to a recognized thought leader in AI testing, providing practical advice, real-world examples, and proven strategies to guide readers through this dynamic field. From foundational AI concepts and evaluating probabilistic systems to leveraging generative AI and implementing cutting-edge testing techniques, this book offers a comprehensive roadmap to mastering the quality assurance of AI-driven applications. Whether you're a seasoned professional or new to AI testing, this book delivers the knowledge, tools, and inspiration to succeed in this transformative era. Prepare to stay ahead in the fast-paced world of AI and revolutionize the way you approach quality engineering.

This book covers:

• The Evolution of Quality Engineering in the AI Era: Explore how AI is reshaping the field and the critical role quality engineers play in the modern development lifecycle.
• Core Concepts of AI for Quality Engineers: Gain a solid understanding of AI principles, terminology, and applications, tailored specifically for quality professionals.
• Testing Probabilistic AI Systems: Learn the key differences between deterministic and probabilistic systems, and how to evaluate reliability, performance, and quality.
• Evaluating AI System Components: Delve into the quality assessment of machine learning models, data pipelines, and algorithms to identify and address issues effectively.
• Adapting Traditional QE Practices for AI: Discover how to customize existing quality engineering practices to meet the unique demands of AI-driven solutions, including defining AI-specific metrics and objectives.
• Harnessing the Power of Generative AI: Explore the transformative potential of generative AI in quality engineering, including innovative test case generation and diversity techniques.
• AI-based Application Testing and Reporting: Learn how to implement AI-enhanced testing strategies and effectively communicate outcomes to stakeholders.

The concluding chapters present a clear roadmap for becoming a thought leader in AI testing, highlighting the education, skills, and strategies needed to stay ahead in this dynamic domain. Written by a seasoned quality engineering professional who transitioned from mainframe development to AI testing thought leadership, [Book Title] combines years of expertise with actionable advice and real-world case studies. Whether you're just beginning your journey in AI testing or you're a seasoned quality engineer seeking to broaden your skillset, this book offers value for professionals at every level.

Product Details

ISBN-13:	9788197419034
Publisher:	ARCCHIE PUBLICATIONS
Publication date:	11/15/2024
Sold by:	Barnes & Noble
Format:	eBook
Pages:	192
File size:	5 MB

About the Author

Ilan Sezhiyan Jayaraman is a certified Thought leader on quality engineering with extensive experience in AI testing, having led the development of the IBM Quality Platform and AI Testing Offering for IBM. As a Service Area Lead of AI and Mainframe testing, he has driven critical initiatives, including the development of patented IBM Research assets, and has been instrumental in securing key deals for IBM. With a strong foundation of core technical and architectural capabilities, Ilan brings a unique blend of technical expertise, business acumen, and collaboration skills to his work. He has also worked closely with clients and delivery teams in a consultant capacity, helping them transform their quality engineering practices. His expertise spans AI testing, mainframe modernization, and data-based modernization, among other areas. His ability to bridge the gap between technology and business has enabled him to deliver innovative solutions that meet client needs. His extensive experience and expertise make him an ideal author to share his insights and expertise on navigating the challenges of AI testing.
Bidhu Ranjan Sahoo is a seasoned Enterprise Test Architect and Innovator with over two decades of experience in quality engineering. As the IBM Service Area Leader for Hybrid Cloud, Middleware, and Network Cloudification in Quality Engineering practice, he is overseeing global client support and managing practices of 1000+ resources. He has extensive experience in digital and hybrid cloud test solutions and deliveries for various enterprise clients. Bidhu has co-authored 10 patents in Blockchain, Security, Microservices, DevOps and Testing. His expertise in hyper-scalars like AWS, Azure, IBM Cloud, and Red Hat OpenShift has enabled him to deliver innovative solutions that meet client needs. He aims to provide insightful perspectives, practical guidance, and innovative approaches for leveraging AI in ensuring software quality.
Annu Roy is a Service Area Leader managing and collaborating with a team of technical experts to help clients adopt modern ways of working in their IT landscape. She is a PMP certified, senior Program Manager with experience in Complex Program Management. She has led diverse and distributed, multi-disciplinary teams of Application Leads, Architects, Business Analysts and technical resources located in different geographies, spanning Government, Healthcare and Finance industries. She is a certified Scrum Master, SAFe Agilist and ITIL V3 Expert. She has more than 2 decades of experience in the IT Industry working with multiple big brands. She has a passion for mentoring students and professionals and believes that every individual deserves an opportunity to learn and grow.