The value of data is becoming a larger part of the business value chain, the lines between different industries become more vague, or as GE’s Chairman and CEO Jeff Immelt once stated: “If you went to bed last night as an industrial company, you’re going to wake up today as a software and analytics company.” This is not only true for an industrial company, but for many companies that produce “things”: cars, jet-engines, boats, trains, lawn-mowers, tooth-brushes, nut-runners, computers, network-equipment, etc. GE, Bosch, Technicolor and Cisco are just a few of the industrial companies that offer an Internet of Things (IoT) platform.
Manufacturing has undergone a quiet revolution in the last few years, but even most industry insiders don’t realize it yet – because it’s an invisible revolution, running through its cables and wires and circuits.
Today’s manufacturers produce more data in a single day than they did in a full month just ten years ago: sensor data, camera images, P..
IoT is crossing the chasm as we speak, slowly but in an ubiquitous way. A very good use case in play today is the hundreds of thousands of smart sensors along the San Andreas fault in the Bay Area that monitor 24/7 the movement of the fault or the thousands of sensors on the Golden Gate bridge that measure the effects of traffic and weather.
But Seriously to use IoT to it’s full potential we will need Big Data – to collect, learn and decide all near realtime. IoT + Big Data (and Cloud) seem to be made for each other as we utilize the machine learning algorithms to make calculated decisions in real time.
What is changing? (more…)
LTE services so far have been launched 124 countries around the world (Q4 2014), and the number of the LTE subscribers reached around 373 million and still counting (source: GSA). This accounts for 5.3% of mobile subscribers and has a long way to go.
Nevertheless, it has been already a year since ITU discussed 5G as a topic after some world’s leading countries and companies in the mobile industry first raised concerns regarding the necessity of 5G standardization.
A typical standardization process of IMT at ITU starts with discussing of visions, followed by recommending visions including some key objectives (parameters). For example, for IMT-Advanced (4G) standardization, ITU set a goal of up to approximately 100Mbps for high mobility such as mobile access and up to approximately 1 Gbit/s for low mobility such as nomadic/local wireless access through Recommendation ITU-R M.1645, to encourage research and investigation in the industry. (more…)..