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my name's undarmaa .My writing essay modern it trend's
Information technology is the application of computers to store, study,
retrieve, transmit, and manipulate data,or information, often in the context of
a business or other enterprise.IT is considered a subset of information and
communications technology .
The term is commonly used as a synonym for computers and computer networks, but it also encompasses other information distribution technologies such as television and telephones. Several industries are associated with information technology, including computer hardware, software, electronics, semiconductors, internet, telecom equipment, and e-commerce.
Increasingly, the world is becoming an intelligent, digitally enabled mesh of people, things and services. Technology will be embedded in everything in the digital business of the future, and ordinary people will experience a digitally-enabled world where the lines between what is real and what is digital blur.
The term is commonly used as a synonym for computers and computer networks, but it also encompasses other information distribution technologies such as television and telephones. Several industries are associated with information technology, including computer hardware, software, electronics, semiconductors, internet, telecom equipment, and e-commerce.
Increasingly, the world is becoming an intelligent, digitally enabled mesh of people, things and services. Technology will be embedded in everything in the digital business of the future, and ordinary people will experience a digitally-enabled world where the lines between what is real and what is digital blur.
Trend1: AI & Advanced Machine Learning
AI and machine learning, which include
technologies such as deep learning, neural networks and natural-language processing, can also
encompass more advanced systems that understand, learn, predict, adapt and
potentially operate autonomously. Systems can learn and change future behavior,
leading to the creation of more intelligent devices and programs. The
combination of extensive parallel processing power, advanced algorithms and
massive data sets to feed the algorithms has unleased this new era.
In banking, you could use AI and
machine-learning techniques to model current real-time transactions, as well as
predictive models of transactions based on their likelihood of being
fraudulent. Organizations seeking to drive digital innovation with this trend
should evaluate a number of business scenarios in which AI and machine learning
could drive clear and specific business value and consider experimenting with
one or two high-impact scenarios.
Trend 2: Intelligent Apps
Intelligent apps, which include technologies
like virtual personal assistants , have the potential to transform the
workplace by making everyday tasks easier and its users more effective .
However, intelligent apps are not limited to new digital assistants every existing software category from
security tooling to enterprise applications such as marketing or enterprise resource planning will be
infused with AI enabled capabilities. Using AI, technology providers will focus
on three areas advanced analytics, AI-powered and
increasingly autonomous business processes and AI-powered immersive,
conversational and continuous interfaces.
Trend 3: Intelligent Things
New intelligent things generally fall into
three categories: robots, drones and autonomous vehicles. Each of these areas
will evolve to impact a larger segment of the market and support a new phase of
digital business but these represent only one facet of intelligent things.
Existing things including Internet of Things devices will
become intelligent things delivering the power of AI enabled systems everywhere
including the home, office, factory floor, and medical facility.
As intelligent things evolve
and become more popular, they will shift from a stand-alone to a collaborative
model in which intelligent things communicate with one another and act in
concert to accomplish tasks. However, nontechnical issues such as liability and
privacy, along with the complexity of creating highly specialized assistants,
will slow embedded intelligence in some scenarios. Digital The lines between the digital
and physical world continue to blur creating new opportunities for digital businesses.
Look for the digital world to be an increasingly detailed reflection of the
physical world and the digital world to appear as part of the physical world
creating fertile ground for new business models and digitally enabled
ecosystems.
Trend 4: Virtual &
Augmented Reality
Virtual reality and augmented reality transform the way individuals interact
with each other and with software systems creating an immersive environment.
For example, Virtual reality can be used for training scenarios and remote
experiences. Augmented reality, which enables a blending of the real and
virtual worlds, means businesses can overlay graphics onto real-world objects,
such as hidden wires on the image of a wall. Immersive experiences with
Augmented reality and Virtual reality are reaching tipping points in terms of
price and capability but will not replace other interface models. Over time Augmented
reality and Virtual reality expand beyond visual
immersion to include all human senses.
Trend 5: Digital Twin
Within three to five years, billions of things
will be represented by digital twins, a dynamic software model of
a physical thing or system. Using physics data on how the components of a thing
operate and respond to the environment, as well as data provided by sensors in
the physical world, a digital twin can be used to analyze and simulate real
world conditions, responds to changes, improve operations and add value.
Digital twins function as
proxies for the combination of skilled individuals and traditional monitoring devices and
controls. Their proliferation will require a cultural change, as those who
understand the maintenance of real-world things collaborate with data
scientists and IT professionals. Digital twins of physical assets combined with
digital representations of facilities and environments, as well as people,
businesses and processes will enable an increasingly detailed digital
representation of the real world for simulation, analysis and control.
Trend 6: Blockchain
Blockchain is a type of distributed
ledger in which value exchange transactions are sequentially grouped into
blocks. Blockchain and distributed-ledger concepts are gaining traction because
they hold the promise of transforming industry operating models in industries
such as music distribution, identify verification and title registry. They
promise a model to add trust to untrusted environments and reduce business
friction by providing transparent access to the information in the chain.While there is a great deal of
interest the majority of blockchain initiatives are in alpha or beta phases and
significant technology challenges exist.
Mesh:The mesh refers to the dynamic
connection of people, processes, things and services supporting intelligent
digital ecosystems. As the mesh evolves, the user experience fundamentally
changes and the supporting technology and security architectures and platforms
must change as well.
Trend 7: Conversational Systems
Conversational systems can
range from simple informal, bidirectional text or voice conversations such as
an answer to “What time is it?” to more complex interactions such as collecting
oral testimony from crime witnesses to generate a sketch of a suspect. Conversational
systems shift from a model where people adapt to computers to one where the
computer “hears” and adapts to a person’s desired outcome. Conversational
systems do not use text/voice as the exclusive interface but enable people and
machines to use multiple modalities to communicate across the digital device
mesh.
Trend 8: Mesh App and Service
Architecture
The intelligent digital mesh will require
changes to the architecture, technology and tools used to develop solutions.
The mesh app and service architecture (MASA) is a multichannel solution
architecture that leverages cloud and serverless computing, containers and
microservices as well as APIs and events to deliver modular,
flexible and dynamic solutions. Solutions ultimately support multiple users in
multiple roles using multiple devices and communicating over multiple networks.
However, MASA is a long term architectural shift that requires significant
changes to development tooling and best practices.
Trend 9: Digital Technology
Platforms
Digital technology platforms are the building
blocks for a digital business and are necessary to
break into digital. Every organization will have some mix of five digital
technology platforms: Information systems, customer experience, analytics and
intelligence, the IoT and business ecosystems. In particular, new platforms and
services for IoT, AI and conversational systems will be a key focus through
2020. Companies should identify how industry platforms will evolve and plan
ways to evolve their platforms to meet the challenges of digital business.
Trend 10: Adaptive Security
Architecture
The evolution of the
intelligent digital mesh and digital technology platforms and application
architectures means that security has to become fluid and adaptive. Security in
the IoT environment is particularly challenging. Security teams need to work
with application, solution and enterprise architects to consider security early
in the design of applications or IoT solutions. Multilayered security and use
of user and entity behavior analytics will become a requirement for virtually
every enterprise.