A strategic technology is defined as a technology that can have a significant impact on a company. It may be an existing technology that has matured or become suitable for a wider range of uses. It may also be an emerging technology that offers a strategic business advantage for early adopters or with potential for significant market disruption in the next five years.
Here are 10 top strategic technologies you need to keep your eye on:
Organisations will have to come up with two mobile strategies — one to address the business to employee (B2E) scenario and one to address the business to consumer (B2C) scenario. On the B2E front, IT must consider social goals, business goals, financial goals, and risk management goals. On the B2C front, which includes business to business (B2B) activities to support consumers, IT needs to address a number of additional issues such as surfacing and managing APIs to access enterprise information and systems, integration with third-party applications, integration with various partners for capabilities such as search and social networking, and delivery through app stores.
Building application user interfaces that span a variety of device types, potentially from many vendors, requires an understanding of fragmented building blocks and an adaptable programming structure that assembles them into optimised content for each device. Mobile consumer application platform tools and mobile enterprise platform tools are emerging to make it easier to develop in this cross-platform environment. HTML5 will also provide a long term model to address some of the cross-platform issues.
By 2015, mobile web technologies will have advanced sufficiently, so that half the applications that would be written as native apps in 2011 will instead be delivered as web apps.
On the social front, the interfaces for applications are taking on the characteristics of social networks. Social information is also becoming a key source of contextual information to enhance delivery of search results or the operation of applications.
The vision and concept have existed for years, however, there has been an acceleration in the number and types of things that are being connected and in the technologies for identifying, sensing and communicating. These technologies are reaching critical mass and an economic tipping point over the next few years. Key elements of the IoT include:
This will grow from a consumer-only phenomenon to an enterprise focus. With enterprise app stores, the role of IT shifts from that of a centralised planner to a market manager providing governance and brokerage services to users and potentially an ecosystem to support entrepreneurs. Organisations should use a managed diversity approach to focus on app store efforts and segment apps by risk and value.
1.From traditional offline analytics to in-line embedded analytics. This has been the focus for many efforts in the past and will continue to be an important focus for analytics.
2.From analysing historical data to explain what happened to analysing historical and real-time data from multiple systems to simulate and predict the future.
3.Over the next three years, analytics will mature along a third dimension, from structured and simple data analysed by individuals to analysis of complex information of many types (text, video, etc…) from many systems supporting a collaborative decision process that brings multiple people together to analyse, brainstorm and make decisions.
Analytics is also beginning to shift to the cloud and exploit cloud resources for high performance and grid computing.
In 2011 and 2012, analytics will increasingly focus on decisions and collaboration. The new step is to provide simulation, prediction, optimisation and other analytics, not simply information, to empower even more decision flexibility at the time and place of every business process action.
Analytics has become a major driving application for data warehousing. One major implication of big data is that in the future users will not be able to put all useful information into a single data warehouse. Logical data warehouses bringing together information from multiple sources as needed will replace the single data warehouse model.
Besides delivering a new storage tier, the availability of large amounts of memory is driving new application models. In-memory applications platforms include in-memory analytics, event processing platforms, in-memory application servers, in-memory data management and in-memory messaging.
As cost and availability of memory intensive hardware platforms reach tipping points in 2012 and 2013, the in-memory approach will enter the mainstream.
The potential advantage is delivering 30 times or more processors in a particular server unit with lower power consumption vs. current server approaches. The new approach is well suited for certain non-compute intensive tasks such as map/reduce workloads or delivery of static objects to a website. Most applications will, however, require more processing power, and the low-energy server model potentially increases management costs, undercutting broader use of the approach.
Oracle, IBM and SAP all have major initiatives to deliver a broader range of cloud services over the next two years. As Microsoft continues to expand its cloud offering, and these traditional enterprise players expand offerings, users will see competition heat up and enterprise-level cloud services increase.
Organisations are moving from trying to understand the cloud to making decisions on selected workloads to implement on cloud services and where they need to build out private clouds. On the private cloud front, IT will be challenged to bring operations and development groups closer together using “DevOps” concepts in order to approach the speed and efficiencies of public cloud service providers.