Whenever you visit our websites, information may be collected using cookies and similar tools to improve your user experience and to enhance the performance of the website.
Closing this message means you accept the use of cookies.
The Continued GenAI Investment Surge Is Driven by Leadership
GenAI Faces Challenges in Security, Costs, Skill Gaps, and Value Perception
A Dynamic Partner Network Supports the Broad GenAI Ecosystem
Despite Challenges, Partner Support Remains Crucial as Interest in GenAI Grows
Organizations See Value From Embedded GenAI Capabilities
Conclusion
Research Methodology
Respondent Demographics
Research Report: Navigating the Generative AI Partner and Alliance Landscape
Research Report
Nov 14, 2024
by
Mike Leone, Mark Beccue, Emily Marsh, Enterprise Strategy Group Research
Understanding and applying generative AI (GenAI) requires a deep technical knowledge base, and many organizations struggle to stay abreast of the ever-evolving landscape. Which model is best for our use case? How can we incorporate our own data? How can we get started with responsible AI? Moreover, implementing and scaling GenAI solutions demands substantial computational resources and robust IT infrastructure. These factors coupled with the need to comply with data privacy regulations and AI ethics norms are creating a troubling scenario for organizations that want to leverage this powerful technology but need help getting started and eventually scaling its use within the business.
The growing partner ecosystem plays a crucial role in supporting GenAI, especially as organizations rapidly ramp up initiatives. Many organizations rely on partners to bridge skill gaps and navigate the intricacies of GenAI development. This collaborative approach not only addresses the need for expertise but also fosters a learning environment, allowing organizations to upskill their teams.
To gain further insight into these trends and challenges, TechTarget’s Enterprise Strategy Group surveyed 382 professionals at organizations in North America (US and Canada) involved in the strategy, decision-making, selection, deployment, and management of generative AI initiatives and projects at their organization and familiar with their organization’s use of third parties to support generative AI initiatives.
Page Count: 24
Table of Contents
Executive Summary
Report Conclusions
Introduction
Research Objectives
Research Findings
The Continued GenAI Investment Surge Is Driven by Leadership
GenAI Faces Challenges in Security, Costs, Skill Gaps, and Value Perception
A Dynamic Partner Network Supports the Broad GenAI Ecosystem
Despite Challenges, Partner Support Remains Crucial as Interest in GenAI Grows
Organizations See Value From Embedded GenAI Capabilities
