Computing everywhere
As mobile devices continue to
proliferate, Research agency Gartner predicts an increased emphasis on serving the
needs of the mobile user in diverse contexts and environments, as opposed to
focusing on devices alone.
According to David Cearley of
Gartner, as phones and wearable devices become part of an expanded computing
environment, it's the overall environment that will need to adapt to the
requirements of the mobile user. This will create significant management
challenges for IT organizations as they lose control of user endpoint devices.
It will also require increased attention to user experience design.
The internet of things
The internet of things
The internet of things
The combination of data streams and services
created by digitizing everything creates four basic usage models ? manage,
monetize, operate and extend. These four basic models can be applied to any of
the four "internets."
Enterprises should not limit themselves to thinking
that only the Internet of Things (IoT) (assets and machines) has the potential
to leverage these four models. For example, the pay-per-use model can be
applied to assets (such as industrial equipment), services (such as
pay-as-you-drive insurance), people (such as movers), places (such as parking
spots) and systems (such as cloud services). Enterprises from all industries
can leverage these four models.
3D printing
Worldwide shipments of 3D printers are expected to
grow 98% in 2015, followed by a doubling of unit shipments in 2016.
New industrial, biomedical and consumer
applications will continue to demonstrate that 3D printing is a real, viable
and cost-effective means to reduce costs through improved designs, streamlined
prototyping and short-run manufacturing.
Advanced, pervasive and invisible analytics
Analytics will take center stage as the volume of
data generated by embedded systems increases and vast pools of structured and
unstructured data inside and outside the enterprise are analyzed.
Organizations will have to find ways to manage how
best to filter the huge amounts of data coming from the IoT, social media and
wearable devices, and then deliver this information to the right person, at the
right time. Big data remains an important enabler for this trend.
Context-rich systems
Ubiquitous embedded intelligence combined with
pervasive analytics will drive the development of systems that are alert to
their surroundings.
Context-aware security is an early application of
this new capability, but others will emerge. By understanding the context of a
user request, applications can not only adjust their security response but also
adjust how information is delivered to the user.
Smart machines
Deep analytics applied to an understanding of
context provide the preconditions for a world of smart machines. This
foundation combines with advanced algorithms that allow systems to understand
their environment, learn for themselves, and act autonomously.
Prototype autonomous vehicles, advanced robots,
virtual personal assistants and smart advisors already exist and will evolve
rapidly, ushering in a new age of machine helpers. The smart machine era will
be the most disruptive in the history of IT.
Cloud computing
The convergence of cloud and mobile computing will
continue to promote the growth of centrally coordinated applications that can
be delivered to any device.
In the near term, the focus for cloud/client will
be on synchronizing content and application state across multiple devices and
addressing application portability across devices. In the future, games and
enterprise applications alike will use multiple screens and exploit wearables
and other devices to deliver an enhanced experience.
Software-defined applications and infrastructure
Software-defined networking, storage, data centers
and security are maturing. Cloud services are software-configurable through API
calls, and applications, too, increasingly have rich APIs to access their
function and content programmatically.
To deal with the rapidly changing demands of
digital business and scale systems up ? or down ? rapidly, computing has to
move away from static to dynamic models
Web-scale IT
Web-scale IT is a pattern of global-class computing
that delivers the capabilities of large cloud service providers within an
enterprise IT setting.
The first step toward the Web-scale IT future for
many organizations should be DevOps ? bringing development and operations
together in a coordinated way to drive rapid, continuous incremental
development of applications and services.
Risk-based security and self-protection
Organizations will increasingly recognize that it
is not possible to provide a 100% secured environment.
Security-aware application design, dynamic and
static application security testing, and runtime application self-protection
combined with active context-aware and adaptive access controls are all needed
in today's dangerous digital world.
This will lead to new models of building security
directly into applications. Perimeters and firewalls are no longer enough;
every app needs to be self-aware and self-protecting.
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