Edge Computing, Key to Autonomous Cars

Advances made in machine learning and autonomous vehicles require a tremendous amount of computing power.  In fact, an autonomous car can be looked at as a data center of its own.  The next generation of applications will need near-real-time response from computing systems and in order to process the data from self-driving cars, computing power is going to need to be pushed to network edges.  Also world leading research and advisory company, Gartner,  is predicting that by 2020 there will be a quarter billion connected vehicles on the road making connected cars a major element of the Internet of Things (IoT). 

Recently Kal Mos, Vice President for Connected Car, User Interaction & Telematics at Mercedes-Benz Research & Development North America, discussed the importance of edge computing in autonomous vehicles.  Making use of different techniques in order for car features to work without a connection and enabling artificial intelligence within cars is where development in edge computing comes into play. However, advancements in autonomous driving will experience challenges along the way to evolution.  Associated variables to be considered in human capabilities of drawing upon years of experience with driving will prove to be interesting in witnessing the jump from lab artificial intelligence to edge artificial intelligence. For more insight from Kal Mos, read full article here.


Edge Computing Offers Opportunity for Enterprise IT

As computing becomes increasingly more data driven, what come next for enterprise IT?  Trends such as the Internet of Things (IoT), machine learning and the collective digital world are now exposing cloud computing limitations as more issues arise due to high traffic and latency problems.  All the connected devices between people and things have marketers realizing that consuming and processing data is influenced at the point of consumption.  Therefore, opportunities exist at the point of consumption to market services within real-time interactions and decisions which drives the need for the edge computing layer to run closer to the data sources. 

In addition to IoT, traditional business applications will start to benefit from reducing the amount of data that flows back and forth between the data center and the public cloud. Edge computing could complement cloud function services by enabling IT to retain sensitive data on-premises and pre-processing data while still taking advantage of the elasticity offered by the public cloud. With everything becoming a source of data and the growth of instant data analysis requirements gathering, combining and correlating these data sets will help unlock new insights for what’s next in enterprise IT. Read full article here.

Growth of Technological Conveniences with the Internet of Things

At home and in business, the Internet of Things (IoT) is making life a lot easier and more efficient. From remote control temperature of your house to businesses knowing exactly what your spending habits look like, all of this is being done through the utilization of IoT.  With predictions by Ericsson of 18 billion IoT devices worldwide by 2022 and current U.S. smartphone ownership at 80% according to comScore, IoT is big and on the road to getting even bigger.  Life is becoming increasingly more high tech to the point of entering into the municipal services sector with smart city solutions such as streamlining community garbage collection through built-in garbage can sensors and the agricultural business is being enhanced through soil sensors.

Some of the most talked about IoT applications are the innovations within the automotive industry and what that means for road safety and reliability with total vehicle automation.  Additionally, for those that are ready for it, total smart home automation is within reach either with one central hub or multiple apps controlling all your devices.  IoT comes with its challenges such as security concerns, but plenty more devices are yet to come reaching beyond both the home and office.  For a look at what’s next, read full article here.