EDGE COMPUTING

Webinar: Putting Machine Data to Work with IoT Analytics

Webinar Title: Putting Machine Data to Work with IoT Analytics
When: October 13, 2016
Starts: 2:00pm ET
Ends: 3:00pm ET
Register Now

 

On September 07, PTC announced a webinar series to highlight the growing importance of collecting and analyzing machine data. Coming up next week on October 13 — as part of the series, executive leaders from Glassbeam, PTC, and Springpath in a crisp, high energy webcast will discuss:

Actionable feedback right through edge computing

Continuing our discussion on Edge Computing and Analytics ….. Remember WE SAID that a key benefit of Edge was Local Decision Making. Typically, that will preclude access to the install base data. However, there is a wealth of information which can be gleaned from the install base data (such as machine learning output). It seems a shame to not be able to utilize that on the edge.

Chosing an edge computing platform

Choosing an Edge Computing Platform

Does 25ms sound unreasonable to process Terabytes of data? Well it is in today’s IoT world – to collect gigantic amounts of data, process and analyze it, and generate snappy dashboards in just 25ms.

Leaders across industries are emphasizing that data absolutely has no value if it cannot be processed and transferred to a decision maker quickly enough for him or her to act quickly enough. Today, it’s impossible to accept even a minute’s delay.

Edge computing is propelling those huge expectations. And it ought to be.

Glassbeam edge computing – a primer

As the Internet of Things inevitable starts coming into it’s own, the origin of data has evolved from people to machines to “things”. Technologies emerged from leaders like Google and Facebook to enable analyzing tons of data in massive data farms deployed in the cloud. All that is well and good, but the approach itself needed moving this “ton” of data to a central location, partition it across large number of nodes so that analysis could be parallelized. Imagine, Netflix has over 1,000 nodes in their cluster. Hmmmm, doable, but at some point the laws of physics start to interfere.