Use prescriptive analytics to generate individual content recommendations, delivered on each consumer’s preferred channel.
Root-cause analysis helps accurately identify customers at the highest risk of lapse, enabling effective, personalized retention campaigns.
Granular microsegments and activity hotspots help design hyper-targeted promotions that reflect consumers’ multi-platform consumption, while offered as ‘insights-as-a-service’ to advertisers.
Accurately forecast ratings and recommend programming decisions using multiple external data sources, and gain maximum revenue from precision ad slot pricing and sales.
Reducing churn by 30% in 3 months: how a leading media company used AI-powered analytics to reveal thousands of clues that identify which reader was likely to churn, and why.
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?