Overcoming the Biggest Hurdle in GenAI Adoption
Key point
The biggest obstacle to GenAI adoption was a lack of knowledge and infrastructure, and Clarivate built a prototype with AI21 in just two weeks.
Details
According to a survey by cnvrg.io (an Intel subsidiary), only 25% of organizations put LLM-based GenAI models into actual service in 2023. The biggest obstacle for large enterprises was a knowledge gap, and securing talent and lacking technical infrastructure also slowed adoption.
Organizations that succeeded in actual deployment reported the following effects.
- Improved customer experience: 27%
- Improved efficiency: 25%
- Strengthened product capabilities: 25%
- Cost savings: 22%
Clarivate integrated GenAI into its operational workflow with hands-on implementation support from AI21 Labs. A dedicated team composed of Product, Customer Success, and Solution Architect roles incorporated weekly feedback for iterative improvement, and the initial prototype was completed in just 2 weeks.
This approach is significant in that it allowed the company to quickly show stakeholders visible results and move from prototype to production, without internally shouldering the burden of hiring staff and training models.
This summary was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.
Our guide explains how the AI works. Report summary errors, attribution issues, or removal requests via Contact.