Your blogs:
WRITING 7 - Modern IT technologies: 1000-2500 words; 9-12 paragraphs
WRITING 6 - Operating system (7-8 paragraphs)
WRITING 5 - Networking (7-8 paragraphs)
WRITING 2,3,4 - Essays 2,3,4: 250 words (IELTS writing task II) - 5 paragraphs
WRITING 1 - Essay 1: 150 words (Bar chart - IELTS writing task I)
HELP to your WRITING 7:
Top 10
Technology Trends. By
David W. Cearley Gartner, Inc.
Trend No. 1: The
Device Mesh
The device mesh
moves beyond the traditional desktop computer and mobile devices (tablets and
smartphones) to encompass the full range of endpoints with which humans might
interact. As the device mesh evolves, Gartner expects connection models to
expand and greater cooperative interaction between devices to emerge. We will
see significant development in wearables and augmented reality, especially in
virtual reality.
Trend No. 2: Ambient User Experience
All of our
digital interactions can become synchronized into a continuous and ambient
digital experience that preserves our experience across traditional boundaries
of devices, time and space. The experience blends physical, virtual and
electronic environments, and uses real-time contextual information as the
ambient environment changes or as the user moves from one place to another.
Organizations
will need to consider their customers' behavior journeys to shift the focus on
design from discrete apps to the entire mesh of products and services involved
in the user experience.
Trend No. 3: 3D-Printing Materials
We'll see
continued advances in 3D printing with a wide range of materials, including
advanced nickel alloys, carbon fiber, glass, conductive ink, electronics,
pharmaceuticals and biological materials for practical applications expanding
into aerospace, medical, automotive, energy and the military.
Recent advances
make it possible to mix multiple materials together with traditional 3D
printing in one build. This could be useful for field operations or repairs
when a specific tool is required and printed on demand. Biological 3D printing
— such as the printing of skin and organs — is progressing from theory to
reality; however, politicians and the public don't have a full understanding of
the implications.
Trend No. 4: Information of Everything
Everything
surrounding us in the digital mesh is producing, using and communicating with
virtually unmeasurable amounts of information. Organizations must learn how to
identify what information provides strategic value, how to access data from
different sources, and explore how algorithms leverage Information of
Everything to fuel new business designs.
Trend No. 5: Advanced Machine Learning
Advanced machine
learning is what makes smart machines appear "intelligent" by
enabling them to both understand concepts in the environment, and also to
learn. Through machine learning a smart machine can change its future behavior.
This area is evolving quickly, and organizations must assess how they can apply
these technologies to gain competitive advantage.
Trend No. 6: Autonomous Agents and
Things
Advanced machine
learning gives rise to a spectrum of smart machine implementations — including
robots, autonomous vehicles, virtual personal assistants (VPAs) and smart
advisors — that act in an autonomous (or at least semiautonomous) manner. This
feeds into the ambient user experience in which an autonomous agent becomes the
main user interface. Instead of interacting with menus, forms and buttons on a
smartphone, the user speaks to an app, which is really an intelligent agent.
Trend No. 7: Adaptive Security
Architecture
The complexities
of digital business and the algorithmic economy, combined with an emerging
"hacker industry," significantly increase the threat surface for an
organization. IT leaders must focus on detecting and responding to threats, as
well as more traditional blocking and other measures to prevent attacks.
Trend No. 8: Advanced System
Architecture
The digital mesh
and smart machines require intense computing architecture demands to make them
viable for organizations. They'll get this added boost from
ultra-efficient-neuromorphic architectures. Systems built on graphics
processing units (GPUs) and field-programmable gate-arrays (FPGAs) will
function more like human brains that are particularly suited tos be applied to
deep learning and other pattern-matching algorithms that smart machines use.
FPGA-based architecture will allow distribution with less power into the tiniest
Internet of Things (IoT) endpoints, such as homes, cars, wristwatches and even
human beings.
Trend No. 9: Mesh App and Service
Architecture
The mesh app and
service architecture are what enable delivery of apps and services to the
flexible and dynamic environment of the digital mesh. This architecture will
serve users' requirements as they vary over time. It brings together the many
information sources, devices, apps, services and microservices into a flexible
architecture in which apps extend across multiple endpoint devices and can
coordinate with one another to produce a continuous digital experience.
Trend No. 10: Internet of Things
Architecture and Platforms
IoT platforms
exist behind the mesh app and service architecture. The technologies and standards
in the IoT platform form a base set of capabilities for communicating,
controlling, managing and securing endpoints in the IoT. The platforms
aggregate data from endpoints behind the scenes from an architectural and a
technology standpoint to make the IoT a reality.
