With every new technology comes the opportunity for supply chain partners to tap into new customers or markets. Market research firm Gartner has identified the top 10 technology trends it deems strategic for most organizations during 2014.
Gartner defines a strategic technology as one with the potential for significant impact on the enterprise in the next three years. Factors that denote significant impact include a high potential for disruption to IT or the business, the need for a major dollar investment, or the risk of being late to adopt. Gartner adds that a strategic technology may be an existing technology that has matured and/or become suitable for a wider range of uses. It may also be an emerging technology that offers an opportunity for strategic business advantage for early adopters or with potential for significant market disruption in the next five years. These technologies impact the organization’s long-term plans, programs and initiatives.
All of the trends identified by Gartner represent an end-market opportunity for providers of components, services and systems, or are tools that can improve a company’s internal operations and efficiencies.
The top 10 strategic technology trends for 2014 include:
Mobile Device Diversity and Management
Through 2018, the growing variety of devices, computing styles, user contexts and interaction paradigms will make “everything everywhere” strategies unachievable. The unexpected consequence of bring your own device (BYOD) programs is a doubling or even tripling of the size of the mobile workforce. This is placing tremendous strain on IT and Finance organizations. Enterprise policies on employee-owned hardware usage need to be thoroughly reviewed and, where necessary, updated and extended. Most companies only have policies for employees accessing their networks through devices that the enterprise owns and manages. Set policies to define clear expectations around what they can and can’t do. Balance flexibility with confidentiality and privacy requirements
Mobile Apps and Applications
The Internet of Everything
The Internet is expanding beyond PCs and mobile devices into enterprise assets such as field equipment, and consumer items such as cars and televisions. The problem is that most enterprises and technology vendors have yet to explore the possibilities of an expanded internet and are not operationally or organizationally ready. Imagine digitizing the most important products, services and assets. The combination of data streams and services created by digitizing everything creates four basic usage models – Manage; Monetize; Operate; Extend. These four basic models can be applied to any of the four “internets” (people, things, information and places). Enterprises should not limit themselves to thinking that only the Internet of Things (i.e., assets and machines) has the potential to leverage these four models. Enterprises from all industries (heavy, mixed, and weightless) can leverage these four models.
Hybrid Cloud and IT as Service Broker
Bringing together personal clouds and external private cloud services is an imperative. Enterprises should design private cloud services with a hybrid future in mind and make sure future integration/interoperability is possible. Hybrid cloud services can be composed in many ways, varying from relatively static to very dynamic. Managing this composition will often be the responsibility of something filling the role of cloud service broker (CSB), which handles aggregation, integration and customization of services. Enterprises that are expanding into hybrid cloud computing from private cloud services are taking on the CSB role. Terms like “overdrafting” and “cloudbursting” are often used to describe what hybrid cloud computing will make possible. However, the vast majority of hybrid cloud services will initially be much less dynamic than that. Early hybrid cloud services will likely be more static, engineered compositions (such as integration between an internal private cloud and a public cloud service for certain functionality or data). More deployment compositions will emerge as CSBs evolve (for example, private infrastructure as a service [IaaS] offerings that can leverage external service providers based on policy and utilization).
Cloud/client computing models are shifting. In the cloud/client architecture, the client is a rich application running on an Internet-connected device, and the server is a set of application services hosted in an increasingly elastically scalable cloud computing platform. The cloud is the control point and system or record and applications can span multiple client devices. The client environment may be a native application or browser-based; the increasing power of the browser is available to many client devices, mobile and desktop alike. Robust capabilities in many mobile devices, the increased demand on networks, the cost of networks and the need to manage bandwidth use creates incentives, in some cases, to minimize the cloud application computing and storage footprint, and to exploit the intelligence and storage of the client device. However, the increasingly complex demands of mobile users will drive apps to demand increasing amounts of server-side computing and storage capacity.
The Era of Personal Cloud
The personal cloud era will mark a power shift away from devices toward services. In this new world, the specifics of devices will become less important for the organization to worry about, although the devices will still be necessary. Users will use a collection of devices, with the PC remaining one of many options, but no one device will be the primary hub. Rather, the personal cloud will take on that role. Access to the cloud and the content stored or shared from the cloud will be managed and secured, rather than solely focusing on the device itself.
Software Defined Anything
Software-defined anything (SDx) is a collective term that encapsulates the growing market momentum for improved standards for infrastructure programmability and data center interoperability driven by automation inherent to cloud computing, DevOps and fast infrastructure provisioning. As a collective, SDx also incorporates various initiatives like OpenStack, OpenFlow, the Open Compute Project and Open Rack, which share similar visions. As individual SDx technology silos evolve and consortiums arise, look for emerging standards and bridging capabilities to benefit portfolios, but challenge individual technology suppliers to demonstrate their commitment to true interoperability standards within their specific domains. While openness will always be a claimed vendor objective, different interpretations of SDx definitions may be anything but open. Vendors of SDN (network), SDDC (data center), SDS (storage), and SDI (infrastructure) technologies are all trying to maintain leadership in their respective domains, while deploying SDx initiatives to aid market adjacency plays. So vendors who dominate a sector of the infrastructure may only reluctantly want to abide by standards that have the potential to lower margins and open broader competitive opportunities, even when the consumer will benefit by simplicity, cost reduction and consolidation efficiency.
Web-scale IT is a pattern of global-class computing that delivers the capabilities of large cloud service providers within an enterprise IT setting by rethinking positions across several dimensions. Large cloud services providers such as Amazon, Google, Facebook, etc., are re-inventing the way IT in which IT services can be delivered. Their capabilities go beyond scale in terms of sheer size to also include scale as it pertains to speed and agility. If enterprises want to keep pace, then they need to emulate the architectures, processes and practices of these exemplary cloud providers. Gartner calls the combination of all of these elements Web-scale IT. Web-scale IT looks to change the IT value chain in a systemic fashion. Data centers are designed with an industrial engineering perspective that looks for every opportunity to reduce cost and waste. This goes beyond re-designing facilities to be more energy efficient to also include in-house design of key hardware components such as servers, storage and networks. Web-oriented architectures allows developers to build very flexible and resilient systems that recover from failure more quickly.
Through 2020, the smart machine era will blossom with a proliferation of contextually aware, intelligent personal assistants, smart advisors (such as IBM Watson), advanced global industrial systems and public availability of early examples of autonomous vehicles. The smart machine era will be the most disruptive in the history of IT. New systems that begin to fulfill some of the earliest visions for what information technologies might accomplish — doing what we thought only people could do and machines could not —are now finally emerging. Gartner expects individuals will invest in, control and use their own smart machines to become more successful. Enterprises will similarly invest in smart machines. Consumerization versus central control tensions will not abate in the era of smart-machine-driven disruption. If anything, smart machines will strengthen the forces of consumerization after the first surge of enterprise buying commences.
Worldwide shipments of 3D printers are expected to grow 75 percent in 2014 followed by a near doubling of unit shipments in 2015. While very expensive “additive manufacturing” devices have been around for 20 years, the market for devices ranging from $50,000 to $500, and with commensurate material and build capabilities, is nascent yet growing rapidly. The consumer market hype has made organizations aware of the fact 3D printing is a real, viable and cost-effective means to reduce costs through improved designs, streamlined prototyping and short-run manufacturing.