target audience: TECH BUYER Publication date: Dec 2023 - Document type: Tech Buyer Presentation - Doc Document number: # US51574723
Leveraging Continuous Testing for DevOps Velocity with Use of Generative AI for Business Optimization
Content
- 33 slides
Get More
When you purchase this document, the purchase price can be applied to the cost of an annual subscription, giving you access to more research for your investment.
Related Links
Abstract
This IDC Tech Buyer Presentation provides an overview of the market disruption caused by generative AI (GenAI) and the implications on continuous software testing, automated software quality (ASQ), and business innovation and optimization. It also considers 2024 spending commitments based on IDC's recent survey data 4Q23. GenAI in 2023 is becoming interwoven increasingly across key software development, software quality, and business automation solutions. The rapidity and scale at which this has been occurring has left little time for thoughtful consideration or analysis before organizations rush headlong into leveraging GenAI's efficiency, innovation, and other benefits to not be left behind competitively.
This document considers particularly the implications for automated software quality and software testing and buying plans for 2024. It draws on insights from DevOps Practices, Tooling, and Perceptions Survey (IDC #US49379723, January 2023) for context on the relationship between software quality and DevOps velocity and emerging use of GenAI for testing; IDC's Future Enterprise Resiliency and Spending Survey, Wave 10, November 2023, for spending plans and IDC's GenAI Awareness, Readiness, and Commitment: A First Look at IT Leaders' Expectations and Concerns for Generative AI (IDC #US51262523, September 2023) to investigate how IT and business leaders in enterprises around the world are assessing GenAI's potential impacts on their organizations in the next 18 months. It explores enterprise leaders' GenAI road map plans as well as the potential challenges and risks that GenAI poses for organizations. It also leverages data from Generative AI Adoption and Attitudes: A Survey of U.S. Developers (IDC #US50655123, May 2023) and DevSecOps Adoption, Techniques, and Tools Survey, 2023 (IDC #US50137623, May 2023).
In 2023, a new chapter of the digital business era started: AI everywhere. The dramatic increase in awareness of GenAI promises to drastically reduce the time and costs associated with a wide range of customer- and employee-facing use cases linked to automation and intelligence, including software development and the necessary underpinning — software quality. This is changing our relationship with content as well as how we extract value from structured and unstructured data. So, it is even more vital — as the technology matures and these relationships fundamentally and systemically change — to be thoughtful and proactive about adoption strategies for governance including areas such as data, security, and the ethics informing the LLMs and GenAI models.
This document considers GenAI's evolving impact for organizations seeking to leverage key software quality capabilities that can often be a bottleneck to speedy execution for software deployments and DevOps. As organizations increase the velocity with which they are creating software with GenAI and code assistants, leverage of effective strategies for continuous testing becomes all the more vital. We also see the emergence of needed application platforms that are evolving to support and unite the AI/ML model life cycles and DevOps to enable business innovation and execution.