Mine clinician-level evidence to repurpose and reposition assets, by auto-analyzing functional similarities and alternatives to existing assets, based on useful qualities of the asset’s properties.
Discover innovation-driven revenue streams from new, viable commercial applications for current products and services. Surface high-momentum concepts and pathways in a matter of hours, instead of months.
Mine millions of open sources of knowledge to identify, screen, and enrich potential acquisition target data. Evaluate targets by reviewing relevant criteria and conduct initial risk assessment.
Build a holistic competitive landscape that identifies top innovators, alternatives and producers; shows each competitor’s focus; and reveals investment trends.
Augmented research into product development and diversification opportunities.
Explore untapped commercial opportunities by identifying new applications for existing assets.
Analyze operational management — supply chain, logistics, field — and determine new factors that affect performance.
Identify and evaluate candidates for acquisition or partnership at scale.
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.
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?