target audience: TECH BUYER Publication date: Jun 2024 - Document type: Tech Buyer Presentation - Doc Document number: # US52386624
Evolving GenAI Adoption for Strategic Planning, Collaboration, and Quality: Investment Plans Moving into 2H24 and 2025 for Experience Orchestration Businesses
Content
- 45 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 and opportunities caused by generative AI (GenAI) with implications for strategic planning, collaboration, and the evolution of experience orchestrated businesses. It also considers 2024 spending commitments based on IDC's recent survey data 2Q24 moving into 2H24 and 2025.
Generative AI in 2024 is increasingly intertwined with and leveraged by key business planning, collaboration, and financial management automation solutions. The speed and scale at which products have been announced and shipped and at which adoption has been occurring over the past 12–18 months 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. We see increased automation capabilities announced and shipping from project and portfolio management (PPM), collaborative work management (CWM) and agile and value stream management (VSM) vendors. And at the same time, governance, guardrails, and vibrant engagement by users must be ongoing moving into 2024–2025 and beyond.
This document considers particularly the implications for GenAI across work planning automation and quality and buying plans moving into 2H24 and 2025. It draws primarily on insights from IDC's Future Enterprise Resiliency and Spending Survey Wave 2 (March 2024) and Wave 3 (June 2024) for GenAI adoption trends and the key opportunities for business planning and prioritization and governances, as well spending plans 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.
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 collaborative planning, project and portfolio management 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 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.