data science

Business World Everything Experiential: How COVID-19 can be fought using AI & Big Data

(REPOST) Data scientists are creating machine learning models to predict infection and mortality rates and to determine resource needs and allocation based on these predictions.

Public health infrastructures civic and economic systems are being stressed beyond their boundaries due to the battle against COVID-19. To aid in the fight against the virus, data and AI technologies are being used in new ways, particularly in countries that adopt a scientific approach to public health. Data scientists are creating machine learning models to predict infection and mortality rates and to determine resource needs and allocation based on these predictions.

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Mobilewalla is working with various businesses and municipalities providing data around individual mobility that acts as a proxy for social distancing. Mobilewalla is providing three types of related data for COVID-19 mitigation efforts:

1) Individual mobility, which is an indication of the distance someone travels on a regular basis,

2) Cluster identification which identifies gatherings of more than a certain number of devices (typically 10-20) at a single location, and

3) Building a contagion graph through individual device data, the radius of gyration and cluster identification.

Mobilewalla data is being used by health services organizations and governmental entities around the world to better predict the spread of the Novel Coronavirus at both the macro (city/county/state/country) and micro (predicting patients at a hospital) level. Mobilewalla can provide both a social isolation score, or the separate data attributes or features that can be used to build a custom score. This data includes individual mobility metrics (indicating the daily distance traveled and unique locations), cluster identification (gatherings of a high number of devices) and individual device data at both the micro and macro levels. These are all foundational inputs that can be used in COVID-19 prediction models.

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Picture of Anindya Datta, Ph.D.

Anindya Datta, Ph.D.

Anindya Datta, the CEO and Chairman of Mobilewalla, is widely regarded as a front-running technologist, leader and innovator, with core contributions to the state of the art in large-scale data management and Internet technologies. Mobilewalla has pioneered audience measurement in mobile apps by applying ground-breaking data science techniques on the industry’s largest volumetric database of mobile app data. Prior to Mobilewalla, Anindya founded and ran Chutney Technologies, where he was backed by Kleiner Perkins and evolved into one of the earliest entrants in the application virtualization area. The company was acquired by Cisco Systems in 2005. Anindya has also been on the faculties of major research universities and institutes in the United States and abroad, including the Georgia Institute of Technology, the University of Arizona, the National University of Singapore and Bell Laboratories. Anindya obtained his undergraduate degree from the Indian Institute of Technology (IIT) Kharagpur, and his MS and Ph.D. degrees from the University of Maryland, College Park.