Published: 06 September 2022
Summary
As CFOs begin to implement AI platforms, they often struggle to identify what talent profiles to hire for their new technology needs. This research provides insight into why data engineers are a particularly important first investment in the early stages of AI implementation.
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Overview
Key Findings
Artificial intelligence (AI) spending in finance is driving talent needs: 73% of finance leaders anticipate an increase in AI staffing within the next three years, and 81% expect an increase in AI and machine learning (ML) funding over the next two years.
Only 15% of finance functions in their first year of AI implementation have dedicated positions for both data scientists and engineers. Sixty percent in their third year of implementation have both.
There is a 142% increase from Year 1 to Year 2 in finance functions that have a dedicated data engineering team.
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Analysts:
Finance Research Team