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Posts Tagged ‘machine-to-machine’

A Smarter World with Machine-to-Machine Computing

Goutam Das of Business Today India recently discussed the fascinating steps that Balaji Lakshmanan, founder of Geeky Technology & Consulting is taking with machine-to-machine computing. Das writes, “Men double his age could easily get an inferiority complex looking at 34-year-old Balaji Lakshmanan’s resume. He has written and reviewed international papers on robotics, taught 5,000 students through workshops and has two provisional international patents. He has been ‘robotic consultant’ for a Tamil film featuring a superhero, Mugamoodi, and has delivered robots to the Indian Army. He also runs Geeky Technology & Consulting, whose domain name, www.imakerobots.com, once again underlines his specialisation.” Read more

Looking Ahead to Berlin and NYC Semantic Technology & Business Conferences

Dates have been set for Semantic Technology & Business Conferences in Berlin (September 18-19, 2013), and in New York City (October 1-3, 2013). The Calls For Presentations will open by Monday, June 17 at the latest. If you have an idea for a conference session, panel, keynote or conference activity be sure to watch this space and submit a proposal when the CFP goes live!

Creating Standards for the Internet of Things

Michael Vizard of Programmable Web recently wrote, “While just about everybody would agree that the Internet of Things within the context of machine-to-machine (M2M) applications is one of the next big things on the Web, turning that vision into reality has been problematic because of the lack of standards. To address that specific issue a cross-industry group called The Alliance for Telecommunications Industry Solutions (ATIS) has been promoting the adoption of a oneM2M initiative that promises to harmonize various standard initiatives in a way that should make the Internet of Things truly programmable.” Read more

The Pros and Cons of Machine-Generated Data

John Myers recently discussed what he refers to as the promise and pitfalls of machine-generated data. He writes, “The truly game changing use case for Big Data is the predicted increase in data coming from machine-to-machine (M2M) sensor and activity log information. This data is going to come from all sorts of devices – cars, trains, planes, refrigerators, air conditioners and wireless devices like smart phones, tablets and medical devices. All of this data will allow for the cost optimization of various industries such as utility grids, logistic supply chains and location-based services.” Read more