Dr Davies uses an interesting series of examples from other industries to show that AI is already supporting innovative approaches and driving growth across a variety of businesses.
The key conclusions from this piece of research is that AI, and sub techniques within this parent topic, can help achieve a multitude of goals and objectives faster, more accurately and consistently than traditional analytical methods.
Bates feels that pharma executives should take cognizance of the fact that ML, together with AI, will be critical in driving the future success of their industry. It is, she believes, “The future to drive accelerated growth.” She adds, “How you analyze big data is also critical. By applying the right AI techniques to the right data, it becomes easier to strategize effectively on the overall direction the company wishes to take, identify effective propositions for various segment types within a brand and, particularly when conducting clinical trials, allocate resources and budgets for optimum results.”