Streamline clinical trials – from design and recruitment, to monitoring and results, predict drug interactions, and target participants at scale with better data clustering.
Identify and aggregate thousands of structured/unstructured databases to speed up process, and expand range to often-excluded populations.
Granular insights and prescriber microsegments help increase uptake, reduce churn, and encourage technician, clinician, insurer buy-in with explainable results.
Increase sales rep performance – cross-sell and upsell – with instant access to physician data and patient outcomes, and chart full customer journey to design best marketing strategies.
In the quest for novel medical treatments, AI-driven hypothesis generation, supported by clinical testing, is a dream come true for institutes worldwide. In the case of colon cancer, the answer wasn’t a better treatment, but an earlier one.
Nearly all existing models have been invalidated by the coronavirus pandemic. They will presumably be invalidated again as the situation evolves as the world recovers. Even after recovery, it is unlikely that we will return to where we started before the crisis began. So how does that affect our data models?
AI analytics helps major banks stay connected to their customers – especially during the dramatic rise of online financial management use. As leading banks apply a range of strategies to navigate the new normal, AI analytics is opening greenfield opportunities to raise profits, combined with agility and ethical responsibility.