Yes, It is true that today every enterprise needs Artificial Intelligence. Because of this it’s now become the most rising and demanded technologies in the global market. Not only this, investment in these technologies now become rising. As per the report, the global Artificial Intelligence market is expected to grow at a CAGR of 42.2% from 2020 to 2027. If we talk about the market size value of AI then it crosses USD 62.4 billion and will generate revenue of USD 733.7 billion. Every sector are now adopting AI technologies and they totally depended on these technologies and bring innovations in industries and this is one of the main AI generating high revenue is the market.
Machines process information can communicate in a
different process than the human brain. Natural
language generation is a sub-discipline of AI that converts the structured data
into the native language. The machines are programmed with algorithms that
convert the data to the user's desired format. The computers are programmed
with algorithms in order to convert the data to the user's desired format.
Natural language is a subset of artificial intelligence that allows creators of
content to automate and deliver content in the desired format. In order to
reach the target audience, content creators may use automated content to
promote it on different social media channels and other media platforms. It is
commonly customer services to generate reports and market summaries. Natural
Language Generation is offered by companies including Attivio, Automated
Insights, Cambridge Semantics, Digital Logic, Lucidworks, Narrative Research,
SAS, and Yseop.
Speech Recognition:
Speech recognition is one of the best and most
demanding artificial technologies to recognize and convert contextual types and
languages into numerical data. The new artificial intelligence technology
developed by Siri is used in neural networks in which mobile apps communicate
with the user in voice recognition. Speech recognition services are provided by
companies such as NICE, Nuance Communications, OpenText, and Verint Systems.
Machine Learning Platforms:
Machine learning is both a computer science sub-discipline
and a significant artificial intelligence branch. Its aim is to develop new
methods that allow computers to learn and thus become smarter. Machine learning
platforms are becoming more popular with the aid of algorithms, APIs
(application programming interface), development, training tools, big data, and
applications. For the purposes of categorization and prediction, they are used
commonly. Some businesses that offer machine learning platforms are Amazon,
Fractal Analytics, Google, H2O AI, Microsoft, SAS, Skytree, and Ad text.
Virtual Agent:
The virtual agent is nothing more than a machine
agent or software capable of communicating with humans. Chatbots are the most
common example of this type of technology. As their customer support agents,
online and mobile apps have chatbots to communicate with humans and answer
their queries. Google Assistant helps to plan meetings, and Amazon's Alexa
helps make shopping simple for you. A virtual assistant often serves as a
language assistant, which selects knowledge based on your option and
preference. Amazon, Apple, Artificial Solutions, Assist AI, Innovative Virtual,
Google, IBM, IPsoft, Microsoft, and Satisfi are some of the companies that have
virtual agents.
Robotic Process Automation:
The automation of robotic processes uses scripts
and methods to help organizational processes that replicate and automate human
activities. It is especially useful for cases where it is too costly or
impractical to employ people for a particular job or task.
Again, Adext AI, a network that automates digital
advertisement processes using AI, is a clear example of this, preventing
companies from devoting hours to mechanical and repetitive tasks. It is a
solution that allows you to take advantage of your human talent and transfer
workers into more strategic and innovative roles so that their decisions can
really influence the growth of the business. Other examples of robotic process
automation companies are Advanced Systems Concepts, Automation Anywhere Blue
Prism, UiPath, and WorkFusion.
Decision Management:
Decision management systems for data translation
and analysis into predictive models are adopted by modern organizations. In
order to assist in corporate decision-making, enterprise-level technologies
incorporate decision management systems to collect up-to-date information to
execute business data analysis. Management of decisions allows us to make fast
decisions, to minimize risks, and to simplify the process. In the financial
sector, the health care sector, trading, insurance sector, e-commerce, etc.,
the decision management system is widely applied.
Biometrics:
Biometrics are used to identify the person through
fingerprint mapping, facial expressions, voice recognition, and retina scanner.
As it operates with touch, image, speech, and body language, it fosters organic
interactions between machines and people. It is primarily used for market
research purposes. Multiple authentications are required for this best
artificial technology to identify anything. VR, Affectiva, Agnitio, FaceFirst,
Sensory, Synqera, and Tahzoo are provided by this technology service.
Cyber Defence:
Cyber Defence is a method for computer defense
aimed at detecting, preventing, and minimizing attacks and threats to device
data and infrastructure. In order to uncover suspicious user behavior and
identify cyber threats, neural networks that are capable of processing
sequences of inputs can be used along with machine learning techniques to build
learning technologies.
Image Recognition:
Image recognition is an AI technology sub-set. It
acts as an identifier for various purposes to fit the company's images such as
protection, diagnosis of diseases, and payment methods. Now how hot AI is
mostly used in facial lock businesses and in training robots such as
self-driving cars to use them for human assistance. Clarifai offers image
recognition systems for individuals to identify duplicates and find related uncategorized
images.
Emotion Recognition:
This kind of AI technology makes it possible to
read and interpret emotions conveyed by humans using advanced image processing
or audio data processing. We can capture "micro-expressions," and
vocal intonation that betrays the feelings of an individual, or subtle body
language signals. Thus, law enforcers also use technology during interrogation.
Beyond Verbal, and Affectiva is several companies that use emotion recognition.
Deep Learning Platforms:
A special form of machine learning with several
abstraction layers consisting of artificial neural networks. Used mainly in
pattern recognition and classification applications currently assisted by very
broad data sets. All of the deep learning options worth exploring are Deep
Instinct, Ersatz Laboratories, Fluid AI, MathWorks, Peltarion, Saffron
Technology, and Sentient Technologies.
Conclusion
Artificial Intelligence reflects intelligence
computing models. Intelligence can be characterized as structures, models, and
operational functions that can be programmed to solve problems, inferences,
process languages, etc. In several industries, the advantages of the use of
artificial intelligence are already being reaped. Slowly every industry will
adopt AI technology and it will bring a huge revolution in each and every type
of industry.
Also Read: Industry 4.0-How Artificial Intelligence redefining the Manufacturing Process
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