One of the leaders in automated data integration, Fivetran, has released survey results that show 86% of organizations struggle to fully trust AI to make all business decisions without human intervention, and 90% reported their organizations continue to rely on manual data processes.
The survey’s accompanying report, “Achieving AI: A Study of AI Opportunities and Obstacles,” describes the challenges companies face in the current AI landscape. The report examines how even though 87% of companies recognize AI as the future of business and plan to increase their investment in it, a lack of trust in machine-led decision-making is a significant barrier driven by technical issues and lack of education. Only 14% consider their organizations to be “advanced” in AI maturity.
Nearly all surveyed organizations are collecting and using data from operational systems, but data difficulties persist. The research shows that technical data pipelines are a major pain point, with 73% reporting that extracting, loading, and transforming data from different sources into different warehouses is a significant challenge. Also, 71% of those surveyed said they struggle to access all the data needed to run AI programs, workloads, and models.
“This study highlights significant gaps in efficient data movement and access across organizations. A successful AI program depends on a solid data foundation, starting with a cloud data warehouse or lake as its base. Analytic teams that utilize a modern data stack can more readily extend the value of their data and maximize their investments in AI and data science.”
George Fraser, CEO, Fivetran
The online survey of 550 senior IT and data science professionals across the U.S., U.K., Ireland, France, and Germany was conducted by Vanson Bourne. The full report to download is available here.
