GNAI Visual Synopsis: An illustration of a futuristic office setting with people interacting with AI-driven virtual agents and language translation tools while highlighting the potential benefits and challenges of integrating generative AI in organizations.
One-Sentence Summary
In its 2023 ML Insider survey, cnvrg.io found that despite the widespread interest in AI, most organizations are not actively leveraging generative AI technology, with only 10% of respondents reporting the launch of GenAI solutions to production, indicating a slow adoption rate. Read The Full Article
Key Points
- 1. Adoption Trends: The survey indicates that a large majority (75%) of organizations have yet to deploy GenAI models to production, while those that have done so report experiencing benefits such as improved customer experiences (58%) and cost savings (47%).
- 2. Adoption Challenges: Organizations face barriers such as infrastructure (46%), lack of knowledge and skills (84%), cost and compliance, with respondents expressing a need to enhance their skills and knowledge in this area.
- 3. Impact: Despite slow adoption, there has been a notable increase in the use of chatbots/virtual agents and translation/text generation, potentially attributed to the advancements in LLM and GenAI technology in 2023.
Key Insight
The survey highlights the hesitance of organizations to adopt generative AI due to barriers such as infrastructure, lack of knowledge and skills, cost, and compliance. However, it also underscores the potential benefits experienced by those who have successfully deployed GenAI, indicating that with greater access to cost-effective infrastructure and services, wider adoption might be expected in the near future.
Why This Matters
The slow adoption of generative AI by organizations raises questions about the readiness of the industry to fully embrace this advanced technology, as well as the potential implications for the future of AI integration in businesses. This highlights the need for upskilling and addressing infrastructure challenges to facilitate the effective adoption of GenAI and its potential impact on customer experiences and operational efficiency.
Notable Quote
“With greater access to cost-effective infrastructure and services, we expect greater adoption in the next year as it will be easier to fine-tune, customize and deploy existing LLMs without requiring AI talent to manage the complexity.” – Markus Flierl, Intel Cloud Services.
