CDP and personalization vendor Evergage has expanded its machine learning powers with Contextual Bandit, an algorithm that considers response value as well as probability when picking the best offer for each individual. The company also added a Data Science Workbench that provides a data analysis toolkit and direct access to the detailed data in Evergage’s unified customer profiles.
Here’s a disconcerting new trend: IT departments admitting they’re doing a poor job. Not what you want to hear from people we rely on. Let start with a survey from anti-virus expert Kaspersky Lab, which found that 84% of North American chief information security officers believe cybersecurity breaches are inevitable. Too many attackers and too little budget, they say. Somehow this doesn’t seem the best way to motivate management to give you more money.
IoT’s future is not what it used to be: batteryless sensor maker PsiKick reports that projections for installed IoT devices fell from 1 trillion by 2015 (estimated in 2012) to 50 billion by 2020 (estimated in 2017) to a mere 25 billion by 2025 (estimated in 2018).
GrowthLoop will use TransUnion identity data to improve U.S. consumer match rates on client files sent to advertising media such as Facebook and Google Ads. The data should also help clients to find matches among records within their files, building more accurate customer profiles. GrowthLoop calls itself a “composable CDP”, meaning it works with data assembled in external data warehouses.