Technologies like AI, the IoT, virtual reality and data analytics are no longer enterprise luxuries, but means of survival in an era of rapid digital disruption. They’re transforming traditional processes, redefining roles and responsibilities, and reimaging the customer/brand relationship. Consider that five years from now, more than one-third of skills needed in today’s workforce will look different because of technological advancement. Three years from now, 100 million consumers are expected to be shopping in virtual reality. Data algorithms are now being used to positively alter the behavior of workers.
These technologies are no longer the basis for science-fiction movies like “The Terminator” or “The Matrix.” They’re here and now. Today, millions of people can watch chatbots argue with each other for entertainment. People are spending days in virtual reality, essentially living in an alternate universe.
Who’s to say that far-reaching movie plots like “Her” and “I, Robot” won’t become reality 30 years from now? We can’t say for sure, however, one thing we do know is that businesses must transition from legacy, hierarchal architecture to a next-generation platform so they can flexibly respond at today’s speed of digital change.
In a recent blog, I explored five key areas of this next-generation platform that every business must consider: next-gen IT, the IoT, AI/automation, an open ecosystem, and the customer/citizens experience. I tackled the first of these five areas: next-gen IT. Now, let’s explore what businesses should know about a next-generation platform in terms of the IoT.
The Only Way to Bring Legacy into Today’s Next-Gen World of IoT
Capitalizing on the IoT is an exponential challenge when core systems and applications are still running in a legacy-dependent environment. To succeed, companies must bring legacy into today’s next-generation world of IoT—a process with its own set of unique challenges.
For starters, the IoT is a vast and loosely defined concept. Some define the IoT simply as sensorous technology. Others, the interworking of various embedded devices that can collect and exchange data. The way I see it, anything that can connect to either a network or provide any sort of service (not just data collection and exchange) should be considered part of the IoT. Because virtually anything can be considered part of the IoT, it becomes difficult to implement one single solution designed to target all IoT requirements. Because of this, we see many IoT solutions on the market today (i.e., Bluetooth, WiFi, ZigBee, LPWAN) that support a range of different requirements.
These solutions also typically don’t use IP protocols, making them impractical in today’s world of any-to-any communication. With billions of connected devices in use today, companies must migrate away from non-IP technologies towards converged architecture to begin building process workflow automation based on IoT analytics. For example, consider a utility company that can automatically notify customers of the impact of an impending weather storm based on predictive analytics from sensors deployed throughout its power lines. The provider can then increase the reliability of their services while keeping customers informed on the severity of the storm using real-time data. As you can see, breaking the silos between various “data sets” (Big Data) is the key to building workflows that are impactful to customers and/or citizens.
The end goal of the IoT is to create automated (and in many cases data-driven) processes that generate the exact business or customers/citizens outcome you’re looking for. The right technology foundation is essential for turning this goal into a practical reality.
So, what’s the answer? An open, software-enabled, meshed architecture platform. This next-generation platform makes it easy to migrate from legacy architecture to begin securely deploying IoT devices that drive higher levels of efficiency:
- Open, SDN architecture supports unmatched levels of IoT intelligence. The platform continuously learns and changes conditions as needed via constantly updated traffic flows. Consider, for example, asset utilization reports that detail up-to-the-minute operational activity, enabling decision makers to change course as needed for continual improvement and cost savings. Meanwhile, an open-sourced ecosystem offers programmable APIs that allow companies to customize their IoT services and applications to meet their exact needs.
- End-to-end network segmentation delivers built-in, point-to-point security for up to 168,000 devices that can run on any vendor’s network. This is achieved through three core components—hyper-segmentation, native stealth and automated elasticity—that work in unison to effectively isolate and filter traffic from IoT device to destination. End-to-end network segmentation is inherently designed to secure the IoT ecosystem, and yet only 23% of companies currently have such a solution deployed.
- An SDN-based IoT controller seamlessly manages the integrated IoT environment. Based on a multi-protocol controller that manages all service modules within the framework, the IoT controller can assign service profiles to open networking adaptors, manage interfaces into SDN program environments, expose north and southbound APIs, and more.
The fact is this: the IoT is a reality that’s only going to substantially accelerate. Three years from now, it’s expected that companies will be spending up to $2 trillion on IoT devices. Five years from now, analysts predict that the IoT will save consumers and businesses $1 trillion per year. In this same period, though, it’s expected that more than 25% of identified enterprise attacks will involve the IoT. During this time, many businesses will continue to struggle with IoT security and management.
We’re only seeing the beginning of what can be achieved with the IoT, but these possibilities are limited without the right technology foundation. The last three decades have seen humans manually providing input to generate desired outcomes, whereas digital enterprises are now using sensors as the input mechanism, combined with sophisticated automated workflows. Scary one may say, but nonetheless our reality.
Think about it: does a self-driving car need any input from humans? Not if the vehicle knows the driver’s calendar, destination and location of people you may need to pick up. It will automatically take the preferred route to keep you on time, find the closest parking space (smart parking), and even, if required, let people know you’ve arrived. At this point, humans are simply going for the ride! This is exactly why the right IoT foundation is so critical to digital transformation. It’s imperative that businesses invest in a next-generation platform that can deliver the simplicity needed to connect, secure and manage the ever-growing number of IoT devices. At the end of the day, a meshed architecture platform represents the best—and arguably the only—way to effectively reduce IoT breaches, rapidly innovate, and improve IT staff efficiency. The possibilities of IoT are seemingly endless for businesses with this foundation.
Up next, we’ll be tackling the third key area of a next-generation platform: artificial intelligence/automation. Be sure to check back soon!