Gartner, Inc. recently highlighted the top 10 technologies and trends that will be strategic for most organizations in 2011. 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.
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. As such, these technologies impact the organization's long-term plans, programs and initiatives.
The top 10 strategic technologies for 2011 include:
Cloud Computing. Cloud computing services exist along a spectrum from open public to closed private. The next three years will see the delivery of a range of cloud service approaches that fall between these two extremes. Vendors will offer packaged private cloud implementations that deliver the vendor's public cloud service technologies (software and/or hardware) and methodologies (i.e., best practices to build and run the service) in a form that can be implemented inside the consumer's enterprise. Many will also offer management services to remotely manage the cloud service implementation. Gartner expects large enterprises to have a dynamic sourcing team in place by 2012 that is responsible for ongoing cloudsourcing decisions and management.
Mobile Applications and Media Tablets. Gartner estimates that by the end of 2010, 1.2 billion people will carry handsets capable of rich, mobile commerce providing an ideal environment for the convergence of mobility and the Web. Mobile devices are becoming computers in their own right, with an astounding amount of processing ability and bandwidth. There are already hundreds of thousands of applications for platforms like the Apple iPhone, in spite of the limited market (only for the one platform) and need for unique coding.
Social Communications and Collaboration. Social media can be divided into: (1) Social networking —social profile management products, such as MySpace, Facebook, LinkedIn and Friendster as well as social networking analysis (SNA) technologies that employ algorithms to understand and utilize human relationships for the discovery of people and expertise. (2) Social collaboration —technologies, such as wikis, blogs, instant messaging, collaborative office, and crowdsourcing. (3) Social publishing —technologies that assist communities in pooling individual content into a usable and community accessible content repository such as YouTube and flickr. (4) Social feedback - gaining feedback and opinion from the community on specific items as witnessed on YouTube, flickr, Digg, Del.icio.us, and Amazon. Gartner predicts that by 2016, social technologies will be integrated with most business applications. Companies should bring together their social CRM, internal communications and collaboration, and public social site initiatives into a coordinated strategy.
Video. Video is not a new media form, but its use as a standard media type used in non-media companies is expanding rapidly. Technology trends in digital photography, consumer electronics, the web, social software, unified communications, digital and Internet-based television and mobile computing are all reaching critical tipping points that bring video into the mainstream. Over the next three years Gartner believes that video will become a commonplace content type and interaction model for most users, and by 2013, more than 25 percent of the content that workers see in a day will be dominated by pictures, video or audio.
Next Generation Analytics. Increasing compute capabilities of computers including mobile devices along with improving connectivity are enabling a shift in how businesses support operational decisions. It is becoming possible to run simulations or models to predict the future outcome, rather than to simply provide backward looking data about past interactions, and to do these predictions in real-time to support each individual business action. While this may require significant changes to existing operational and business intelligence infrastructure, the potential exists to unlock significant improvements in business results and other success rates.
Social Analytics. Social analytics describes the process of measuring, analyzing and interpreting the results of interactions and associations among people, topics and ideas. These interactions may occur on social software applications used in the workplace, in internally or externally facing communities or on the social web. Social analytics is an umbrella term that includes a number of specialized analysis techniques such as social filtering, social-network analysis, sentiment analysis and social-media analytics. Social network analysis tools are useful for examining social structure and interdependencies as well as the work patterns of individuals, groups or organizations. Social network analysis involves collecting data from multiple sources, identifying relationships, and evaluating the impact, quality or effectiveness of a relationship.
Context-Aware Computing. Context-aware computing centers on the concept of using information about an end user or object’s environment, activities connections and preferences to improve the quality of interaction with that end user. The end user may be a customer, business partner or employee. A contextually aware system anticipates the user's needs and proactively serves up the most appropriate and customized content, product or service. Gartner predicts that by 2013, more than half of Fortune 500 companies will have context-aware computing initiatives and by 2016, one-third of worldwide mobile consumer marketing will be context-awareness-based.
Storage Class Memory. Gartner sees huge use of flash memory in consumer devices, entertainment equipment and other embedded IT systems. It also offers a new layer of the storage hierarchy in servers and client computers that has key advantages — space, heat, performance and ruggedness among them. Unlike RAM, the main memory in servers and PCs, flash memory is persistent even when power is removed. In that way, it looks more like disk drives where information is placed and must survive power-downs and reboots. Given the cost premium, simply building solid state disk drives from flash will tie up that valuable space on all the data in a file or entire volume, while a new explicitly addressed layer, not part of the file system, permits targeted placement of only the high-leverage items of information that need to experience the mix of performance and persistence available with flash memory.
Ubiquitous Computing. The work of Mark Weiser and other researchers at Xerox's PARC paints a picture of the coming third wave of computing where computers are invisibly embedded into the world. As computers proliferate and as everyday objects are given the ability to communicate with RFID tags and their successors, networks will approach and surpass the scale that can be managed in traditional centralized ways. This leads to the important trend of imbuing computing systems into operational technology, whether done as calming technology or explicitly managed and integrated with IT. In addition, it gives us important guidance on what to expect with proliferating personal devices, the effect of consumerization on IT decisions, and the necessary capabilities that will be driven by the pressure of rapid inflation in the number of computers for each person.
Fabric-Based Infrastructure and Computers. A fabric-based computer is a modular form of computing where a system can be aggregated from separate building-block modules connected over a fabric or switched backplane. In its basic form, a fabric-based computer comprises a separate processor, memory, I/O, and offload modules (GPU, NPU, etc.) that are connected to a switched interconnect and, importantly, the software required to configure and manage the resulting system(s). The fabric-based infrastructure (FBI) model abstracts physical resources — processor cores, network bandwidth and links and storage — into pools of resources that are managed by the Fabric Resource Pool Manager (FRPM), software functionality. The FRPM in turn is driven by the Real Time Infrastructure (RTI) Service Governor software component. An FBI can be supplied by a single vendor or by a group of vendors working closely together, or by an integrator — internal or external.
More information can be found at www.CRMindustry.com.