Get in touch
Fivetran

AI in 2024 – Hopes and hurdles

March 2024
Research parameters
Topic:
AI/LLMs and GenAI
Countries:
UK/Ireland, France, Germany, US
No. of interviews:
550
Methodology:
Quantitative
Respondent profile:
Technical executives and non-technical workers

Brief

Fivetran, a data integration solutions provider, wished to understand more about the extent to which organizations are using AI, LLMs and GenAI, and the pain points and/or skill shortages they are experiencing. The results would aid Fivetran’s internal understanding, as well as being used in their ongoing marketing efforts.

Let’s talk about your research 

Solution

Vanson Bourne conducted an international quantitative survey of 550 technical executives and non-technical workers to understand their experiences with AI.

Explore our wide reaching respondent network – contact us 

Outcome

Vanson Bourne presented the research results in a virtual presentation, and during this collaborated with Fivetran to craft a narrative for their report. Consequently, the results were used to write and create their 2024 AI report, helping to cement their position as thought leaders as data integration solution specialists.

Discover the data here

Talk to us about your research requirements 

Key findings

$406 million average global annual revenue loss due to underperforming AI models
81%
of organizations trust their AI/ML outputs despite fundamental data inefficiencies
On average, 67% of data scientist time is spent preparing data vs. 33% of time spent actually building AI models
Want to be on our website too? Let’s talk
Senior Research Executive