FOW2: Dr Michael Gilliam - Exponential data will lead to the next revolution in human thinking episode artwork

EPISODE · Mar 18, 2019 · 46 MIN

FOW2: Dr Michael Gilliam - Exponential data will lead to the next revolution in human thinking

from The Future of Work · host Singapore Institute of Management

In this episode of the SIM podcast, we talk to Dr. Michael Gillam (CEO - HealthLabs, a discovery automation company for big data and machine intelligence models) as he joins host Graham Brown for a conversation on exponential data. Michael tells us how in this age of exponential data acute creation, a shortage of data scientists is leading to inefficiencies in organizational systems and explains to us terms like "dark data", "data lake", "data pond", "lake binding" etc. They also talk about the Copernican shift taking place in the data space where the center of the universe is shifting from companies to the common citizens. We learn about the new protocols under experimentation using upcoming technologies like blockchain which will enable ownership and control of private data to remain in the individual's hands stored within their digital data vaults, allowing individuals to monetize as well as securely distribute access to his/her data only to approved entities. Over the course of the podcast, we hear some interesting possible use case scenarios with generated & analyzed data in the future. Listen to the entire fascinating conversation here to know more in depth about exponential data and the interesting path big data and analytics is going to lead us into in future. Also, Dr. Michael Gillam will be coming to Singapore for the Singularity University event to share his thoughts on thriving and surviving in the age of big data.

In this episode of the SIM podcast, we talk to Dr. Michael Gillam (CEO - HealthLabs, a discovery automation company for big data and machine intelligence models) as he joins host Graham Brown for a conversation on exponential data. Michael tells us how in this age of exponential data acute creation, a shortage of data scientists is leading to inefficiencies in organizational systems and explains to us terms like "dark data", "data lake", "data pond", "lake binding" etc. They also talk about the Copernican shift taking place in the data space where the center of the universe is shifting from companies to the common citizens. We learn about the new protocols under experimentation using upcoming technologies like blockchain which will enable ownership and control of private data to remain in the individual's hands stored within their digital data vaults, allowing individuals to monetize as well as securely distribute access to his/her data only to approved entities. Over the course of the podcast, we hear some interesting possible use case scenarios with generated & analyzed data in the future. Listen to the entire fascinating conversation here to know more in depth about exponential data and the interesting path big data and analytics is going to lead us into in future. Also, Dr. Michael Gillam will be coming to Singapore for the Singularity University event to share his thoughts on thriving and surviving in the age of big data.

NOW PLAYING

FOW2: Dr Michael Gilliam - Exponential data will lead to the next revolution in human thinking

0:00 46:07

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Frequently Asked Questions

How long is this episode of The Future of Work?

This episode is 46 minutes long.

When was this The Future of Work episode published?

This episode was published on March 18, 2019.

What is this episode about?

In this episode of the SIM podcast, we talk to Dr. Michael Gillam (CEO - HealthLabs, a discovery automation company for big data and machine intelligence models) as he joins host Graham Brown for a conversation on exponential data. Michael tells us...

Can I download this The Future of Work episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!