— While artificial intelligence projects hold immense potential, their success relies heavily on stringent quality engineering throughout the project lifecycle. Integrating quality metrics from the start helps organizations avoid issues that often plague AI initiatives, such as bias, poor reliability, and regulatory missteps. As Brad Bowden notes, with the complexity of AI models only growing, so…
Brad Bowden
About Brad Bowden
For over fifteen years, Brad Bowden has dedicated himself to working directly with companies and their leadership teams to improve the way they build, test, and deliver software. Part of a specialized group of technologists focused on quality engineering and digital transformation, Brad distinguishes himself from his peers in that he consistently goes beyond the label or title.