target audience: TECH BUYER Publication date: Dec 2023 - Document type: Tech Buyer Presentation - Doc Document number: # US51469523
The Evolving Use of GenAI for Software Quality, Strategic Planning, and ALM: Benefiting from Intelligent Automation with Judicious Leverage for Business Velocity and Optimization
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Abstract
This IDC Tech Buyer Presentation provides an overview of the market disruption caused by generative AI (GenAI) and the implications on application development and deployment and business optimization.
Generative AI in 2023 is becoming interwoven across key software development 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 (ASQ) and software testing, application life-cycle management (ALM), strategic portfolio management (SPM), collaborative work management (CWM), product and project portfolio management (PPM) for adaptive, flexible work and adoption of application platforms to enable execution. It draws on insights from IDC's Global GenAI Awareness, Readiness, and Commitment (ARC) Survey 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); DevOps Practices, Tooling, and Perceptions Survey (IDC #US49379723, January 2023); and IDC's Future Enterprise Resiliency and Spending Survey.
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. This is changing our relationship with content as well as how we extract value from structured and unstructured data. So it is all the 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 presentation considers GenAI's evolving impact for organizations seeking to leverage key capabilities that are often disparate from one another — ASQ, PPM, CWM, SPM, and VSM — and the needed application platforms that are evolving to support and unite the AI/ML model life cycles and software development life cycles along with business innovation.