Will Everyone Eat Software For Health?

Fitness On Demand Is Here:

Some of the fitness bands in the market today

The technology to make us live forever is a reality. For example, fitness bands help us measure, analyze and fix health issues.

Technologists call it health focused IoTs (Internet of Things). Silicon Valley calls it healthtech.

Measure Measure Measure

Every single physical activity, body movements, muscle fatigue, heart rate, blood pressure, body temperature etc.

Apple is investing in health data.

“In the future, I’ll prescribe you an app. One of our whiteboards will drop in and explain what high blood pressure is. The phone will be Bluetoothed to the cap of your pills. I’ll nudge you towards a low salt diet. All of these things will all happen in your phone. I see you two or three days a year. The phone sees you everyday.”

Data Deluge


Counting, aggregating and measuring is the primary purpose of analytics and insight systems. 
Imagine collecting tons and tons of data every day, every month leading to a lifetime. It will save lives. It will help us live longer and better. Even if it means collecting petabytes of data, it’s worth it. 
Except, there is one problem.

Lossy Data
I am fitness data freak. I check into my app every hour. I want to know the steps I have taken, the heart beat patterns and every other available health data.

Mi and GQii give me some data, but not enough. They show me an image of the raw data. Health data is lossy.

Health Data + App Usage Pattern
It’s not that Xiaomi MI band or Goqii can not give me the raw data. 
The problem lies in capturing the raw data and structuring it.

Imagine a world where one can match the raw activity data of a user with the app usage. If an user like me is paranoid about his fitness, he will check its numbers every two hours.

As a health app it can give me more than the warnings. It can match my usage with a product offerings, which will assuage the fears. Say, a new health monitor or a new food grain to try out!

Missing Piece In The Puzzle


Capturing raw data and marrying it with machine learning or artificial intelligence is the missing piece in the puzzle. Most companies capture some data, but they miss out on making the data sets smarter.

When we built Octo.ai we looked at it as the operating system for the big data. Healthtech and IoT is a natural fit.

Octo.ai has been designed ground up to collect data and then allow analytics+ML on top of it.

Specialists can build more intelligence without worrying about other parts of the backend.

Possibilities are endless
I see a future where a health product aggregator, fitness bands and health care services will become one big offering.

Bundling will take place for the next phase.

Will I Live For 100 Years Or More
Perhaps I will live for hundred years. Healthtech will clearly be up to the challenge.

We have companies like GoQii, curefit, Xiaomi, Fitbit and many others who are building out Healthtech companies that are data driven.

Now I am going to eat software for health. No granola or Soylent or poisonous health drinks.