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Summary
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.
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, we 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.
Read the full report on ESG Research Portal.
Appendix
Further reading
Author
Mike Leone, Principal Analyst, AI Software and Services
Mark Beccue, Principal Analyst, Artificial intelligence
