Applied Data & Analytics

Chairpersons welcome and opening remarks. 

Headspace is a values-first company: through 10 years of innovating the use of technology in meditation and mindfulness, the focus has never shifted from making sure that our approach to technological implementation is as mindful as our content.

Over the last year, much of that innovation has centered around ML-powered personalization: from in-app content recommendation to push notifications to AI-driven dynamic welcome flows. But implementing ML/AI solutions brings unique challenges: personalization is inherently intimate and demands great sensitivity in the ways we use and communicate member data.

In this talk, we’ll explore how Headspace balances the intimate and data-centric process of building ML solutions while maintaining our brand identity as a mindful actor.

Pre-recorded session 

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• Identifying target-rich, high-value data that can be used to generate intelligence. 
• Transitioning from big data to ‘right’ data analytics – how to dissect the data you need. 
• Collection, storage, exchangeability and security – how to ensure optimised processing of data for optimum response and actions. 
• Data as the core of digital – aligning strategies to maximise data capabilities. 

• Network externalities strategy in AI and ML.
• Optimal decisioning: balance between fraud reduction and healthy approval rates.
• The future of fraud management.