Future appears now linked withthe word artificial intelligence. The mimicking of human-like intellectual processes by machines, particularly computer systems, is known as artificial intelligence. AI systems typically operate by gathering an enormous amount of labelled training data. The outcome is then predicted using the data's correlations and patterns, which are evaluated afterwards. Sub-domains of AI include machine learning, deep learning, neural networks, natural language processing, computer vision, and cognitive computing. Different uses of these sub-domains are made depending on the circumstances. While humanoid robots taking over the world is how science fiction books and Hollywood films depict AI, the current progress of AI technology, called Narrow AI, is neither terrifying nor particularly intelligent. Instead, AI has evolved to provide various technical advantages across all industries.
For
instance, AI performs repetitive activities and professions requiring attention
to detail much better than human labour. Thanks to it, large data jobs take
much less time to complete, and the results are reliable. The efficiency of AI
has already increased in every industry in which it has been used,
demonstrating its value. In the case of this highly digitalised system, there
is no going back.In all industries, AI has left its imprint. The same applies
to business. There are innumerable commercial uses for AI. We'll see how AI
will affect business intelligence in the future. Data has been the foundation
of contemporary business for many years. Businessmen and entrepreneurs have
used it to guide their judgments. AI-powered robots or software agents are
going through a similar change in several sectors.
Akhilesh
Srivastava is aglobally
reputed Digital and Innovative Technology leader.
He is the IT advisor to the government of Uttrakhand and the former chief
general manager (commercial operations & IT) of NHAI.
As an IT
advisor,he implements AI technologies to improve administrative efficiency and
promptly deliver citizen services. When fully operational, the Big Data
Platform Uttarakhand Data Lake will transform the state government
administration to the next generation.
It will not only improve transparency and reduce the time taken in
decision-making but will also support the administrators in policymaking and
taking decisions based on real-time data analytics and simulation of data by
the Uttarakhand Data Lake AI engine. It will improve the public delivery system
and citizen services efficiently beyond comprehension. Uttarakhand is the first
state in the country which is implementing so many web-3 applications
simultaneously.
Covid-19
vaccine development was accelerated using AI; instead of taking years, the
first batch of vaccines was tested three months after the virus was identified.
Automation in contact centres, factories, and warehouses all employ AI.
Additionally, it allowed them to understand their clientele fully. The human
brain cannot digest all of the info; hence there is a cost associated with it.
Artificial intelligence (AI) and its role in business intelligence
decision-making are helpful in this situation.
As a digital and innovative technology leader,
Akhilesh Srivastava has talked at several conferences on AI technology over the
last few months, each of which was eye-opening in its way and highly energising
in terms of new technology and AI. He spoke extensively on using AI in new
areas in global enterprises.
Akhilesh
Srivastava discusses creating new business practices by building new
technologies and AI. Akhilesh Srivastava is a digital and innovative technology
leader currently leading Road Safety 2.0
initiative. Road Safety 2.0 is shaping the future of Road Safety in India with
AI technology-driven approach to create a human-centric road ecosystem where AI
technology compensates for human limitations to improve road safety.
The field of artificial intelligence has grown over time thanks to technological breakthroughs. As a result, three recognised levels of AI can now be encountered.
- Assisted
intelligence, which emphasises automating routine activities. Such as the
equipment used in assembly lines.
- Augmented
intelligence: Symmetry is a byproduct of augmented intelligence. It
involves both parties. The goal is to teach robots from human input.
Humans, in turn, rely on the wisdom of their decisions on knowledge.
- Automation
intelligence: Simply put, this refers to machines' automation of the
entire process, cutting humans from the equation. Taking self-driving
automobiles and autonomous robotics as examples.
It is
crucial to discuss deep learning. Inventors and scientists in recent years
widely used artificial intelligence. Technology has finally caught up with the
advent of faster and more powerful GPUs. In 2015, industry analysts noticed a
revival when speedy and strong parallel computing became more affordable.
AI has made its mark across all industries. Similar rules apply to business and government administration. AI will not only improve transparency and reduce the time taken in decision-making in a government organisation but will also support the administrators in policymaking and taking decisions based on real-time data analytics and simulation of data; an example is the Uttarakhand Data Lake.AI has countless business applications. In the future, we'll witness how AI will impact business intelligence. For many years, data has been the cornerstone of modern business. Entrepreneurs and businessmen have utilised it to inform their decisions. Similar changes are occurring across other industries regarding software or robot agents driven by AI. It is essential to talk about deep learning. Up until recently, scientists and innovators have yet to employ artificial intelligence. Akhilesh Srivastava discusses creating new business practices by building new technologies and AI. The development of faster and more powerful GPUs/IPUs has allowed technology to catch up.
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