Dreams of Next Gen Preventative Healthcare

I stumbled upon an interesting article describing researchers at John Hopkins University who successfully implemented an AI-based approach to predicting the likelihood of cardiac arrest via the analysis of cardiac imagery. It got me thinking:

Our bodies are outputting an absolutely enormous quantity and variety of data that regretfully goes unused. I could speculate that in this data exists critical insights which could be instrumental in indicating an impending heart attack (or other illness) days, weeks, or even months in advance.

Therefore, it is hardware and software limitations which prevent the real-time measurement and analysis of data that could, theoretically, dramatically reduce deaths from a variety of illnesses. It is a limitation that should be our highest priority in terms of healthcare. Real-time collection and real-time analysis of various metrics/processes in our bodies.

Continue reading

The Analyst of the Future

It’s not headline news that the amount of data individuals and firms produce is and will continue to grow exponentially. It’s also not headline news that the cost of storing and accessing this data is increasingly cheaper.

It’s hard to imagine but once upon a time, organizations would discard what could have potentially been information with the ability to uncover critical business insights. This disposal of data was seen as justifiable given the cost of storing it as well as limitations in querying and mining it.

Continue reading