R2000 spot prizes / easter eggs to be won during the event!!

14:00 - 14:30       🚀 Greeting and Introduction from LifeQ CEO 🩺

14:30 - 15:30       ⚡ Lightning Talks ⚡

15:30 - 16:00      🗣️ Social Breakout Rooms ☕

16:00 - 17:00     🤖 Keynote + Hackathon update 🏅

Register here : [https://zindi.africa/competitions/cardiac-arrhythmias-prediction-challenge]

Global advances around machine learning in the last decade have been quite spectacular, however for this benefit to be fully realised, there is a lot that needs to happen before machine learning can be applied effectively.

LifeQ applies machine learning to solve healthcare related problems from continuous monitoring data. The emerging field of continuous monitoring provides a novel paradigm for healthcare. In the past, healthcare professionals could only ever see snapshots of their patients during short, intermittent interactions. However we can now analyze months of data from individuals and populations.

Getting this kind of data from across the globe is no easy task, especially when the hardware and software from continuous monitoring devices such as wearables that collect this data are far from standardized.

LifeQ has the rare advantage of having the entire data pipeline from dealing with the sensor on a device, to cloud data aggregation, MLOps and iterative scientific experimentation around analysis of this data - housed under one roof!!

Join LifeQ as they invite you in to hear from various teams from within the company and how they play a part in making this data magic happen!

[Indaba𝕏SA] LifeQ: From Sensors to Health Data Analysis