Creating Customer Value Through Internet of Things

As the market opportunity continues to grow for the Internet of Things (IoT), more and more companies are looking at IoT solutions as a means for improving customer service, enhancing operations, and creating new business models. IoT is built on innovative technologies which allow companies to evolve in a more intelligent, adaptive and agile way. By 2020 the IDC is predicting that 32 billion connected IoT devices will be utilized. The challenge that organizations could face is being able to extract timely, meaningful IoT data to enable digital transformations to occur so that the organization has the ability to offer innovative IoT solutions to create new customer values.

What if you were to look at the innovation of IoT not as a solution, but rather the disruption that occurs with these billions of IoT devices with respect to what they do and how they work throughout the organization? Here’s an interesting article perspective that discusses the organizational change and value that is created by IoT along the paths of innovation such as: customer engagement experience, services and business model. Consider the possibilities of IoT as a source of innovative ideas for a platform that addresses customer problems and pain points. Read full article here.

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.

 

Eliminate Data Center Downtime through “What If” Simulation

How vulnerable is your data center to system failure? Are you able to access how resilient your data center is by knowing how many single points of failure you have or identify your weakest links? In today’s digital lifestyle of always-on and fully connected, the costs of data center downtime is measured both financially and in the impact to a company’s reputation.  According to the Uptime Institute’s seventh annual Data Center Industry Survey, downtime matters with more than 90 percent of data center and IT professionals believing that their corporate management is more concerned about outages now than they were just 12 months ago.  However, only 60 percent report that they measure the cost of downtime as a business metric.

Having significant hardware redundancy, a backup for the backup for literally everything could make a data center more resilient.  However, this is not a good strategy for a company’s bottom line especially in light of the exponential growth of data from IoT.  Thus, means for eliminating or mitigating downtime to non-harmful levels should be top of mind for IT management. One such way is to allow facilities managers to experiment in safe offline environments by creating virtual prototypes to troubleshoot “what-if” simulations for potential risks associated with power failure or critical systems going offline. Read full article here.