Earlier this year, we released The Path to AI Maturity report detailing the findings from our first annual study on the state of Artificial Intelligence (AI) maturity within US organizations today. With the massive amounts of investment in AI made by enterprises in recent years – and the acceleration of digital transformation across organizations to address shifts in user behavior – our goal was to understand the impact of these trends in terms of AI maturity, along with the drivers for AI and the success factors for AI initiatives.
Findings highlighted in our initial report
Our initial report highlighted that 40% of US enterprises have reached the higher stages of maturity with their AI initiatives, which means they have moved from the theoretical and experimentation phases to seeing tangible results and return on investment for AI.
The results also showed that organizations that have reached the highest stages of maturity – Systemic and Transformational on Gartner’s AI maturity model – state that quality training data is the most important contributor to the success of their AI strategies. As a result, budgets for training data will increase.
Insights from our new report
Our new report, The ROI of Training Data, provides highlights from our initial report as context, as well as additional findings from the research. These include how organizations measure the impact of quality training data, and how this changes as their AI programs mature.
Our research revealed that 99% of businesses partner with external organizations to supply their AI data training data. This new report provides more detail on the criteria used to evaluate training data vendors and how this differs by maturity stage. Overall our research shows that quality training data is a key component to reaching AI maturity.
To review the full findings in our latest report, download the ROI of Training Data here.