Fwd: [Indaba𝕏] [update] 19th Nov - LifeQ: From Sensors to Health Data Analysis

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Chris Fourie

Nov 18, 2021, 6:30:32 AM11/18/21
to SisonkeBiotik

---------- Forwarded message ---------
From: Deep Learning IndabaX South Africa <in...@indabax.co.za>
Date: Thu, 18 Nov 2021 at 13:19
Subject: [Indaba𝕏] [update] 19th Nov - LifeQ: From Sensors to Health Data Analysis
To: Chris Fourie <chrisf...@gmail.com>

You are invited to LifeQ’s IndabaX Roadshow event 🤩
R2000 spot prizes / easter eggs to be won during the event!!

“From Sensors to Health Data Analysis”

19th Nov 14:00 SAST

Sign up now

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 🏅

LifeQ Hackathon:
(12-22 November | R18 000 prize pool)
Register here : [https://zindi.africa/competitions/cardiac-arrhythmias-prediction-challenge]
Password : 123sleep

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 universally standardized and easily interoperable.

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!

We thank our awesome IndabaX 2021 sponsors:

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Deep Learning Indaba
Spatial Edge
Zindi hackathon platform
University of Pretoria
DSI-NRF Centre of Excellence in Mathematical and Statistical Sciences
AI Expo Africa
AI Media
IBM Research
AI Driven investment fund
Data Prophet
Ashanti AI data science specialist
Venues for Conferences in Africa

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Dr. Chris Fourie | +27645240720 | chrisfourie.africa | twitter | LinkedIn
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