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AI Integration in Software Development and Operations - by Abhinav Krishna Kaiser & Vamshi Meda (Paperback)

AI Integration in Software Development and Operations - by  Abhinav Krishna Kaiser & Vamshi Meda (Paperback) - 1 of 1
$54.99 when purchased online
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About this item

Highlights

  • 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.
  • About the Author: Abhinav Krishna Kaiser is a highly accomplished professional working as a partner at a prestigious consulting firm, where he plays a pivotal role in leading digital transformation programs for clients across diverse sectors.
  • 318 Pages
  • Computers + Internet, Intelligence (AI) & Semantics

Description



Book Synopsis



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.

What You Will Learn

  • 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

Who This Book is For

Software engineers, developers, programmers, DevOps engineers, and AI practitioners who are interested in integrating AI into their DevOps practices.



From the Back Cover



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



About the Author



Abhinav Krishna Kaiser is a highly accomplished professional working as a partner at a prestigious consulting firm, where he plays a pivotal role in leading digital transformation programs for clients across diverse sectors. He is a part of the Distinguished Member of Technical Staff (DMTS) cadre, which represents a select group of best-in-class technologists. With a proven track record in the industry, Abhinav is recognized for his expertise in guiding organizations through complex and innovative changes to stay ahead of the curve in today's dynamic business environment. He takes charge of spearheading various digital transformation initiatives, demonstrating a keen understanding of the unique challenges and opportunities presented by different industries. His portfolio includes successfully steering multiple digital transformation programs, showcasing his ability to navigate and drive change in organizations of varying sizes and complexities. His hands-on experience in implementing cutting-edge technologies and methodologies has contributed to the enhanced efficiency and competitiveness of his clients.

In addition, Abhinav Krishna Kaiser is a multifaceted professional with a prolific career as an accomplished writer. He boasts an impressive literary portfolio comprising six published books, each delving into the intricacies of digital transformation, DevOps, GCP and ITIL. Abhinav's written works serve as authoritative guides, offering valuable insights and practical solutions to professionals navigating the complexities of modern business and technology landscapes. Beyond his contributions in the written domain, Abhinav is a panel speaker, captivating audiences with his expertise at industry conferences and events. His commitment to knowledge-sharing ex-tends to digital platforms, where he actively engages as a YouTuber and blogger. Through these mediums, he imparts knowledge, shares best practices, and explores emerging trends, reaching a wider audience eager to enhance their understanding of digital transformation, DevOps, GCP, and ITIL.

Vamshi Meda is a seasoned partner at a prominent consulting firm, specializing in guiding organizations through digital transformation initiatives. With a wealth of experience in the field, he serves as a trusted advisor to numerous enterprises, helping them identify opportunities for digital innovation and navigate the complexities of implementation. Vamshi has demonstrated track record of leading complex initiatives in Architecture, Cloud, GenAI, SRE, AIOps, Agile, and DevOps. He has completed CTO certification from Wharton and a bachelor's degree in computer science, blending technical prowess with business acumen.

He is Recognized for spearheading digital transformation initiatives across diverse industries, including Insurance, Capital Markets, Retail, and Healthcare. Skilled in strategic planning, solution implementation, and fostering collaboration to achieve organizational objectives. A decisive leader with a knack for problem-solving and a commitment to excellence. Vamshi is highly regarded as a keynote speaker at industry-leading conferences, where he shares his expertise and insights on driving successful digital transformations.

Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W) x .71 Inches (D)
Weight: 1.05 Pounds
Suggested Age: 22 Years and Up
Sub-Genre: Intelligence (AI) & Semantics
Genre: Computers + Internet
Number of Pages: 318
Publisher: Apress
Format: Paperback
Author: Abhinav Krishna Kaiser & Vamshi Meda
Language: English
Street Date: December 21, 2024
TCIN: 94481757
UPC: 9798868810435
Item Number (DPCI): 247-35-8882
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.71 inches length x 6.14 inches width x 9.21 inches height
Estimated ship weight: 1.05 pounds
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