According to a survey conducted by Dataiku, AI professionals are facing significant challenges in democratizing data and AI within their organizations. The global survey, which included 400 respondents, revealed a widespread enthusiasm and action towards Generative AI. Interestingly, European senior AI professionals are more likely to view Generative AI as a revolutionary force that will transform the way we work compared to their counterparts in the US.
One notable finding from the survey is that more than half of the respondents believe that AI requires more official regulation. While industries vary in their adoption of AI governance, many agree on the need for proper regulation in the context of Generative AI and LLMs (Language Models).
European data leaders appear to be more equipped than their US counterparts when it comes to delivering AI projects and putting them into production. However, they also express a dissatisfaction with the current AI regulation, with almost half of the respondents in agreement that AI requires more regulation. Additionally, a third of the respondents feel that organizational leaders, such as C-Suite executives, do not fully understand the risks and benefits associated with AI.
Shaun McGirr, Field Chief Data Officer at Dataiku, stresses the importance of an ongoing dialogue and collaboration in the AI space. He emphasizes the need to increase public awareness about the potential impact of AI on society and future generations. McGirr believes that now is the time to have an honest conversation about how this technology should be utilized.
The survey also explored AI adoption and perceptions across a range of enterprises and industries globally. The results indicate that respondents were divided when it came to AI maturity. Nearly half reported that they are embedding or expanding data science and AI within their organizations, while the remaining half are still in the experimental or establishing phase.
However, the tracking of value trailed behind actual deployments, with only 37% of data leaders having consistent frameworks for accounting the value of data science and AI initiatives. The majority, 55%, have inconsistent tracking systems or only record results anecdotally.
Prem Prakash, Head of AI Marketing at Databricks, highlights the significant interest in generative AI expressed in the survey, but also acknowledges the accompanying challenges, such as data access, privacy, and regulation. Prakash reiterates the shared mission with Dataiku to democratize data and AI, enabling organizations to build their generative AI solutions securely and cost-effectively.