Every day, we provide data to companies in exchange for great experiences powered by machine learning (ML). Facebook’s ability to tag friends in a photo seems obvious. Gmail’s ability to prioritize messages provides an intuitive way to triage conversations. Our user data makes these ML-based experiences possible. We provide this data under the assumption of trust that it doesn’t fall into the wrong hands.
Businesses that wish to provide similar experiences face two challenges: They need ample amounts of data, and they require ML algorithms that can provide the desired end user experience.
