The Enterprise of Things

Consumers will lead the charge to the Internet of Things, but enterprise adaptation will not be far behind. Will your IT department be ready?

The mobile market is moving on. Traditional smartphones and tablets are maturing. The next phase is coming, and it consists of the Internet of Things, a descriptive phrase that includes all manner of smart (and barely smart) devices, often connected wirelessly.

While smartwatches, fitness bands and connected appliances are important, the current focus on consumer products diminishes the fact that the greatest impact this category may have will be on the enterprise. Consumer experimentation will lead the market, but enterprise adaptation will not be far behind. For this reason, I use the term "Enterprise of Things" (or EoT) to describe this next wave that enterprises will need to deal with, even as most still try to adequately cope with the more mature mobile devices already impacting their users, networks and applications.

The EoT wave will encompass many different device types, some of which haven't even been developed yet. While EoT is not a near-term phenomenon, needing the next three to five years to mature, it nonetheless will impact nearly all corporate systems. If your organization had trouble dealing with user demands for BYOD, this will present an order-of-magnitude-bigger challenge. EoT will have a profound effect on an organization's infrastructure, including its network connectivity, VPN, identity access management, security infrastructure and management functions. Further, it will have a major impact on mission-critical corporate systems like data storage and access, databases, enterprise back-office tools (e.g., ERP, CRM), data analysis and business information systems and corporate governance, to name but a few. The vast amount of data types and content created, amplified by the sheer number of transactions, will make EoT a massive undertaking.

EoT will necessitate the deployment of big data solutions, including big data storage and data analytics, to productively exploit the vast amounts of real-time and situationally specific data it will generate. Enterprises not able to deal with the types and amount of data generated, and not able to analyze this information in near real time and act on its intelligence, will face a serious situation that limits productivity, negatively affects customer relationships, and significantly undercuts the operational and competitive nature of its operations and its employees.

I expect the average enterprise to ultimately have tens of thousands of corporately connected/deployed EoT devices to interact with. These will include embedded sensors of all types (e.g., automotive, tooling, usage monitors, personal concierge devices, location-based sensors, worker concierge devices, etc.). Most will focus on supplying data, but many will also require command and control inputs/direction. While each transaction with a device may be small (hundreds to thousands of bytes), the sheer number will stretch many corporate systems beyond their current limits.

Further, the advent of voice enablement, gesture control via embedded vision, and other enhanced human interface techniques means that things will be far more responsive and easy to use by even untrained and casual users. Effectively implementing such diverse technology will require creative solutions beyond the applications currently empowering most organizations, and creating a new paradigm for how corporate systems are designed and deployed (much as the previous waves of client/server, Web and mobile transformed the corporate environment). And while the cloud will be key, it is not the only transformative solution enabler necessary. Internal systems will also be widely affected.

EoT will impact nearly all companies supplying enterprise products, from networking (e.g., Cisco) to large databases (e.g., SAP, Oracle) to analytics (e.g., IBM) to security (e.g., Symantec) to carriers (e.g., AT&T, Verizon) to devices (e.g., Microsoft) to operating systems (e.g., Android, QNX) to component suppliers (e.g., Intel, ARM). Very few enterprise systems will remain untouched by EoT. Be prepared to require major upgrades for your existing infrastructure.

Bottom line: While it's still early in this transformation, enterprises should start planning now for what's to come in the next few years. Formulating a strategy that looks at potential requirements for infrastructure and applications, as well as assessing line-of-business needs to enhance operations, should be done over the next 12 to 18 months, with plans for preliminary deployments over the next one to three years. Strategies must remain flexible, since in any early-stage market the outcomes and solutions are yet to be fully defined and are likely to change rapidly. But that should not be used as an excuse for organizations to do nothing. Like Web and mobile before it, once the EoT achieves a critical mass, implementation and user needs will explode, so being proactive is imperative.

Jack Gold is the founder and principal analyst at J.Gold Associates, an information technology analyst firm based in Northborough, Mass.

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This story, "The Enterprise of Things" was originally published by Computerworld.

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