GET A PULSE ON THE NEXT WAVE OF AI RELEASES
This report delves into seven key insights related to the development of AI-powered models and capabilities, the imminent wave of AI releases expected from companies, and the significance of feature management and experimentation capabilities in ensuring success.
Survey Objective
The primary aim of this survey is to gain insights into how companies are embracing AI technologies and the consequent impact on their software release methodologies. Moreover, we seek to ascertain the perceived importance and utilization of feature management and experimentation tools amidst the AI revolution. Download the report to learn more.
Research Methodology
How did we go about procuring our “AI Release Radar”? At Split, we conducted two distinct online surveys targeting a diverse pool of respondents, yielding 89 and 55 responses respectively. Participants represented various industries and occupied roles across product and engineering departments. Notably, 75% of respondents were not Split customers, while 12% utilized Split’s free product. Finally, 13% were paying Split customers.
“Experimentation is a new requirement for developing and releasing AI capabilities. It is the gold standard for quantifying the impact of new AI models and understanding how users will respond to the outputs.”
-Dr. Iavor Bojinov, Professor at Harvard Business School
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