Lightsphere AI builds AI for Humans, that helps fight the two chronic problems our modern society is facing today because of Automation. The problem of updating your skills in advance of the future job-market so that you can stay ahead of disappearing jobs, and the problem of staying fit and healthy in a World where there is constant pressure on your health due to lack of physical activity, job stress, and poor nutrition. The future is neither a dystopia where AI takes over the World, nor a society where all online interactions between humans have to be shallow. Lightsphere AI has built advanced AI that mediates interaction between human coaches and consumers. In particular, we present a first look at a special variation of our OmMeGo health monitoring app called Sentinel that is going live this month. This technology could make a substantial dent on the COVID19 infection spread at the workplace by combining advanced monitoring AI, with a unique way of privacy preserving, real-time workplace monitoring of "physical social temporal graphs". A unique combination of advanced AI on devices tracking the health and well-being of individuals with a breakthrough technique for triangulating infection spread at the workplace makes this possible. We also present a new dense graph mining algorithm that can be used with Sentinel data for early detection of infection micro-clusters. This algorithm was presented last month at the KDD MLG 2020 Workshop.

 

Who is this presentation for?

Business Owners with employees who cannot work remotely effectively, and want to stop the virus from spreading at their offices. Especially beneficial for people such as school and college administrators, or owners of restaurant chains, shipping centers, factories and other logistics operations. It is also suitable for employers who are worried about their employee's mental and physical well-being during these challenging times. Data scientists, CTOs, CEOs, engineers, and people interested in machine learning will also benefit from this presentation.

 

Prerequisite knowledge:

Familiarity with programming is a plus but not required. Experience dealing with consumer and institutional data and AI, corporate efficiency, and workplace safety and privacy is also helpful.

 

What you'll learn?

 

We will talk about  the socio-economic factors driving the current challenges in our society, and how the solving of the dual problems of health and education can be made a lot more human and practical by mixing AI with Human coaches seamlessly, in contrast with current approaches that are dominated by low quality not-very-smart AI self-help services, or talented human coaches that only the rich can afford. We will learn about time series data analysis for physical social graphs, and how it can be exploited for early detection of patterns both at an individual and the network level and how it can be used to save and improve lives. We will also learn about mining small dense clusters in such real-world graphs and a possible future application towards early detection and prevention of spread of infections at the workplace.