In The Path to AI Maturity, we surveyed 200 senior decision-makers from mid-to-large US organizations – including two-thirds from the C-Suite – to understand how they are using AI today to achieve business goals and transform their businesses.
This follow on report from our own proprietary research provides a view into how organizations evaluate the ROI of high-quality training data and anticipate their future needs as well as how this varies by traditional and generative AI maturity stages.
In our new report you will learn:
Quality data is essential to AI success
In our annual Path to AI Maturity research, we surveyed 322 senior executives from mid-to-large US organizations – including over half from the C-Suite – to understand how they are using AI today to transform their businesses.
This follow on report from our research provides a view into how organizations evaluate the ROI of high-quality training data, and how this varies by AI maturity stage.
In our new report highlighting findings from this research you will learn:
How budgets are being allocated for AI initiatives
How enterprises are sourcing training data for AI
The ROI metrics that organizations use to evaluate their training data investments
And more
How AI budgets are being allocated across organizations
How enterprises source training data for both traditional and generative AI
The ROI measures that organizations use to evaluate their training data investments and anticipate future needs
