These days, artificial intelligence is a
hot topic. There is a definite exponential tendency in web searches and
mentions about artificial intelligence. AI is not something new.
In 1956, the phrase "artificial
intelligence" was first coined.
ELIZA, the first programme for natural
language processing, was developed in 1966.
Invention of the Sharkey robot, the first
versatile mobile robot, took place in 1972.
Invention of the WABOT-1 humanoid robot occurred
in 1973.
The first computer to defeat a global chess
champion occurred in 1997 when IBM Deep Blue defeated Gary Kasparov.
Year 2002: The Roomba vacuum cleaner
introduced the entry of AI into the home for the first time.
AI improved significantly after 2010 and is
now utilized by numerous businesses.
Today, AI is pervasive. Because it can
effectively address complicated problems in a variety of areas, including
healthcare, entertainment, banking, and education, it is becoming increasingly
important for the modern world. Our daily lives are becoming faster and more
comfortable as a result of AI.
Even though the concept of AI has been
around for a while, the development of cloud technology has made it simpler to
put into practise. Companies like Google Cloud, Amazon Web Services, Microsoft
Azure, and others began to step up their research efforts to improve their
algorithms for machine learning, analytics, computer vision, and tools for
natural language processing. These developments have increased interest in AI.
Data storage and retrieval in the cloud are now affordable. In the cloud, we
have access to computing power on demand. Cloud-based machine learning
techniques make it relatively simple to create predictive models. The SaaS
sector has an impact on the advancement of AI technologies. Companies that
offer SaaS products need to focus more on AI to expand their feature set. Some
of the benefits listed below can be taken into account for product development
Artificial intelligence is the ability of
machines to learn from experience, adapt to new inputs, and carry out jobs that
humans carry out. Artificial intelligence is formed up of the phrases
"artificial" and "intelligence," where
"artificial" refers to something that is "man-made" and
"intelligent" refers to something that has "thinking
power."
The word "AI" is used to refer to
all machine intelligence. We use a variety of various technologies to provide
machines intelligence on par with human levels in the senses, comprehend, plan,
act, and learn. Machine learning, natural language processing, computer vision,
and other technologies are included in the landscape of AI in general.
Machine learning: Machine learning is one of the core components of AI. This
can be broadly defined as a machine's ability to replicate intelligent human behavior's. To create AI behavior's, many machine learning algorithms are
used. Deep learning is a subset of machine learning, which is a neural
network's attempt to simulate human brain behaviour.
Natural language processing (NLP): Natural language processing (NLP) is part of artificial
intelligence (AI) that enables computers to understand, produce, and manipulate
human language.It makes it possible for computers and people to interact.
Computer vision: Computer vision enables machines to see, understand, and
respond to their surroundings. In order to comprehend image content (graphs,
tables, PDF files, and videos), this uses deep learning and pattern detection.
Speech : A
variety of speech-to-text, text-to-speech, speech translation, and other
conversions are done using this technique. This will make use of natural
language processing techniques to allow for natural conversation with machines.
Robotic Process Automation: Automating repetitive, rule-based operations like typing,
form-filling, invoice processing, etc. would be made easier with the help of
this process automation. This will be accomplished via optical character
recognition, machine learning, and natural language processing.
Smart Analytics: Smart analytics refers to the automated data analysis and insight discovery process that uses machine learning and artificial intelligence.
Fraud detection, risk assessment
and price optimisation use smart analytics.
AI systems are designed with the goal of
reducing human mistake and working independently to minimize human effort. This
can be done by analyzing human behavior and using the findings to create
intelligent systems. For instance, they act, learn, and make decisions in
specific circumstances. observing people as they complete straightforward tasks
and applying the solutions to create intelligent systems.
Since AI is so popular many industries use
it. AI technology will become a concern if it is not used appropriately. There
are challenges to be overcome with AI, just like with any other technology.
Required high end computers: The hardware and software needed for AI are quite expensive since
they need a lot of maintenance to keep up with modern demands.
Can't think out of the box: Despite the fact that artificial intelligence is enabling us to
create smarter machines, these computers still cannot perform tasks that are
outside their training or programming.
No feelings and emotions: Even while AI machines have the potential to function
exceptionally well, they are unable to develop any sort of emotional connection
with people since they lack feelings. If necessary precautions are not taken,
this could occasionally be dangerous to users.
Increased dependency on machines: People are becoming increasingly dependent on technology as a
result of its advancement, which is also causing them to become less mentally
capable.
No Original Creativity: Because humans are so imaginative and creative, AI computers
cannot match this level of human intelligence and cannot be inventive or
creative.
Enterprises are increasingly depending on
artificial intelligence to make important choices as it establishes deeper
roots in every sphere of business. Artificial intelligence has grown
everywhere, used for everything from harnessing AI-based innovation to
improving customer experience and optimising profit. This transition to
artificial intelligence has been made possible by the ease that small and
medium-sized businesses are now able to utilise AI, ML, deep learning, and
neural networks.
The coming years may also see a
collaborative link between humans and machines, which will strengthen cognitive
skills and talents and increase overall productivity, in contrast to prevalent
misconceptions that AI will replace humans across job roles.
