Maximize the Value of First-Party Data
Real-time inference can dramatically improve the efficacy of dynamic decisioning strategies. By leveraging a hybrid system of feature engineering which sources from data both past and present, Cortex leverages your customer data and transforms predictions into actionable business decisions for all users. Read more on machine learning techniques using first-party data.
Conversion Optimization with Next-Best-Action
Next-best-action enables you to choose the right path for each user across their journey and adapts over time alongside changing behaviors and preferences. Cortex provides advanced next-best-action tools like incorporating the value of actions in decisioning and easily enabling new customer interventions using techniques like explore-exploit.
Automate Experiences on a Per User Basis
“It takes a data scientist less than 30 minutes to create a new pipeline. Then, with our fully automated solution, the pipeline is activated within 24 hours.”
Head of Data Technology at News Corp Australia
“… our business moves fast and we needed to make the technology available quickly across our teams. With Cortex, our team is able to build ML into our products in a matter of minutes, as opposed to months.”
Chief Data Officer at News Corp
“Vidora enabled our teams to take advantage of real-time machine learning decisioning across multiple product directions including commerce and subscription initiatives. We are excited about the initial results and are looking forward to continuing to increase subscription conversions.”
VP Technology Projects at New York Post
“Machine learning is a key component of how we create the best value for customers. Cortex allows us to quickly build accurate machine learning experiences to serve customers better.”
Chief Technology Officer at Nutrafol