Do What Matters

Here are the important research happening in healthcare technology  that can get us inspired to find solutions to other related problems: 1. Detecting sleep stages using wifi RF signals - see how this works: http://sleep.csail.mit.edu/  As you can see, its all about Deep learning  algorithm that is being  developed to detect sleep stages that can  further be correlated to different health  conditions. It  definitely  inspires us to figure out  what other health conditions can be found without the need of a sensor that human needs to wear. This also raises questions that  whether future is bleak for wearable sensor devices? 2.  Contact lenses that deliver drugs directly to the eye - A company called TheraOptix won the prestigious MIT Sloan Healthcare innovation prize yesterday.  http://news.mit.edu/2018/contact-lenses-deliver-drugs-directly-eye-sloan-healthcare-innovations-prize-0309 This is a big breakthrough ...

#1 Help insurance companies identify risky and cautious drivers Develop a cloud service which could be integrated and used by Insurance companies to identify risky and cautious auto drivers. The service should have subscription based offering. The statistical and machine learning model would use driving records of various drivers (historical data) and predict a risky driving behavior Develop a dashboard for Insurance data analyst to visualize and predict. #2 A mobile dashboard (android tablet) to control all connected IoT devices in the house.   This dashboard should allow control of lights, toaster oven, music player, thermostat or anything else connected via wifi in the house) #3 U sing gps and accelerometer data from mobile phone, predict tourist’s behavior (whether tourist will see a particular exhibit or visit a particular shop) http://link.springer.com/chapter/10.1007%2F978-3-319-03973-2_9 #4 Employee demand & Churn forecasting Employers deal w...

1. Application performance monitoring service for cloud based applications. - This APM will monitor all kind of applications including java, Python and node.js look at http://newrelic.com/application-monitoring for features and functions. also look at https://www.pingdom.com/features/ for ideas. 2. Predict food safety based on FDA recall data on food - create various models. Also create a crowd sourcing mobile app for consumer/user to upload incident report (suspicious food item in a dish or restaurant) 3. create a framework/tool for cloud delivery pipeline. This tool will allow to save runbooks, artifacts and checklists that helps with production deployment and maintenance of cloud services. 4. Real time analytics dashboard for cloud server and application performance data. Predictive analytics on storage, out of memory or network/system failures. This also has a mobile app piece 5. Text analytics on job and desc data collected using  glassdoor api and suggestions f...