Artificial Intelligence and Machine Learning In Business
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Artificial intelligence is part of almost every business today; it facilitates business operations, increases productivity, and offers a variety of ways to speed up communication processes. Artificial intelligence and software (or software applications installed on it), as well as automation through AI systems, perform many of the tasks previously performed by employees and workers. Switching to an automated working environment has resulted in a lot of unnecessary business expenses, substantial time savings and a gradual increase in profits. The automation through AI of various business processes has taken many companies and organizations to the next level in terms of production and management.So, this article explains the role of artificial intelligence, machine learning and cloud computing in business. by Dr. Pawan Whig 2019. Artificial Intelligence and Machine Learning In Business. International Journal on Integrated Education. 2, 2 (Jun. 2019). https://journals.researchparks.org/index.php/IJIE/article/view/516/493 https://journals.researchparks.org/index.php/IJIE/article/view/516
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Artificial Intelligence and Machine Learning In Business
1. Volume 2, Issue II, May-June 2019 | 64
International Journal on Integrated Education
e-ISSN : 2620 3502
p-ISSN : 2615 3785
Artificial Intelligence and Machine Learning In Business
Dr. Pawan Whig
Dean Research
Vivekananda Institute of Professional Studies
ABSTRACT
Artificial intelligence is part of almost every business today; it facilitates business operations, increases
productivity, and offers a variety of ways to speed up communication processes. Artificial intelligence and software (or
software applications installed on it), as well as automation through AI systems, perform many of the tasks previously
performed by employees and workers. Switching to an automated working environment has resulted in a lot of unnecessary
business expenses, substantial time savings and a gradual increase in profits. The automation through AI of various business
processes has taken many companies and organizations to the next level in terms of production and management.So, this
article explains the role of artificial intelligence, machine learning and cloud computing in business.
Keyword: Business, data, Artificial intelligence, Machine learning
INTRODUCTION
The term ‘Artificial Intelligence (AI)’ incites different emotions in different people; some see it as a dream, some
see it as a terror. No matter what it is, dream or terror, the presence of AI is believed to be the beginning of a different
world. So, how will it be? Will it end in a terror like every other sci-fi movie, or will it make the planet more prosperous
helping Homo sapiens to thrive in their reality AI revolution had started many years ago, and many business giants have
started working with it like Amazon, Google, Facebook, Apple, etc.In 1979, John McCarthy developed an excellent idea
called artificial or machine intelligence, which could be described as "creating logical algorithms similar to human
activities". Cloud computing is created by converting open fields on the Internet for free or secretly. In 1996, the loose
"cloud computing" appeared as critical data mentioned in Compaq's internal files. By joining artificial intelligence, it offers
individuals better access to applications and interfaces that utilizes artificial intelligence via open cloud providers. The best
rational response can be successfully achieved by allowing the client to convert applications or areas to structured or
unpredictable data. Acquittal International is still used today by Uber in collaboration with executives, although the main
component of cloud-based support is generally available, which supports the economy [1-8].
THE MAIN GOALS OF THE BUSINESS
The main goal of any business is a success. For a business to be successful, it must have a useful framework
because all business relies on two factors: information management and its application [9]. Efficient use of technology will
allow access to the data necessary to perform the task quickly and easily, and the quality of this task will allow management
to perform its tasks better and take the necessary measures. Excellent results at the right time. To achieve these goals, we
need to create specific tasks and complete specific tasks.
Each type of business has different business functions depending on its operations, the products or services it
offers, its geographic location and the associated schools of management and manufacturing [9]. However, there are typical
jobs that apply to all types of businesses. These jobs typically include public administration, information and operational
management, marketing, finance, accounting and human resources.
There are various functions of public enterprises, including management and organizational functions such as
"organizational resources, organizational improvisation, quality, industrial relations, relations with partners, productivity
and promotion, employment and financial analysis, accountability. Accounts Require tasks and investment activities for
the entire enterprise, except tasks such as" classification and training of employees, selection of employees, auditing and
upgrading of personnel ".Management, Administration, Sales, Marketing, Human Resources and Purchasing", financial
activities, sales and marketing, customer service or customer support required for the buying and selling process [8].
According to another source, "Technological innovations are universal and can be implemented to all types of
businesses. The important business activities are marketing and operations (production of goods and services), finance and
human resource management"
ROLE OF AI IN BUSINESS
The creation, almost everyone can start their AI application depending on the effectiveness of these margins. The
AI in the cloud, turning it into a discovery centre and it also opens clouds to record and moderate technical data. Business
can control the initial storage structures or databases as data requirements for AI-based applications. However, the reverse
of AI is that it can be used well in applications that use programming configuration units (SDKs), and the framework
supports software dialects. In these applications, actual vitality is used to run the entire AI [9]. By scanning the edge,
fraudulent pre-recruitment cases can be quickly identified, and any problems with the picture frames can be identified for
newcomers to resolve errors and reapply the request. From a dedicated business, with the creation, the business has the
possibility of discovering new business meetings or other mixed data. Among the other best options, they can find
Information and predict the next result of the offers, promotions and functional exercises that go with it.
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e-ISSN : 2620 3502
p-ISSN : 2615 3785
Likewise, large companies can use technology to completely transform machine self-management nodes, surface
enhancements, front-end applications, and data technology. The preparation of the technology includes visual Information,
an Internet of Things connection, machine learning and a data section.
PARTICULAR CASE
As new skills development and the market progresses faster, mind-blowing methods should be intentionally
followed. Amnesty International's primary business and the founders of new technology companies are trying different
things to challenge their rivals using these innovative capabilities. Most of the products of technology are generally
developed and used worldwide. As a result, cloud-based AI is called the ninth class of experts (DRL) and the product level.
Residents of the five key areas, including data, databases and contracts, can access the framework and rely on guaranteed
management ratings [7]. As for the product model, Google should run its AI chips on machine learning in Goliath, the
Internet of Things and data mixing objects. Since Google dismissed the technique in 2011, it has distorted all of the
imaginative perspectives and abilities that can be explored and studied through advances in learning, for example, by
understanding visual channels to focus on the best channels. Amazon has used the technology to create a project to modify
field testing methods and create new types of products; for example, the most critical area connected today is Alexa. SAP
integrates machine security into the cloud-based ERP framework to allow access to funding and mini-series at the expense
of field testing methods. Meanwhile, Ali Baba has successfully explored the human brain during visits to regions, for
example, vehicles with engines, auxiliary structures and non-standard chips.
POSSIBLE PRODUCTS
Whatever the recall curves for new products or trends, it is essential to try to dismantle them, delete them and
transform them into development zones. Following the evaluation through these techniques, evaluation, yield, selection,
learning and data space triangle, four possible products are explored with their visualization and their structure.
Artificial Intelligence is the Visual Intelligence API. Using The API, we can access and access log objects and
data. By converting metadata to visual content, a business can undoubtedly hold meetings to present articles and experiences
without machine learning data.
The API is an IoT interface used to connect IoT devices via structures and portals. It has an excellent cloud
configuration and data storage capacity, with early alerts, recording tools and the ability to sort and control them. One of
the positive aspects of The API is that it receives a wide range of predictable requests and requests from business, data and
traditional machines, without using machine learning or any other intelligent application.
Next, machine learning contributes to the necessary resources, and data creator can quickly create and modify
machine learning models [8]. Machine learning models can be used to meet business/work needs without giving machine
learning without learning.
Finally, it will be a diverse data channel for data business where data business can find, mark, collect, use, and display data
with others in the product workspace.
PROPERTIES OF THE PRODUCT
Exploring the progress of future news is part of a product guarantee that business will not consider. Meanwhile,
improvements in machines and models for rapid market recognition lack today. We will find below the characteristics of
the products supplied, artificial intelligence for trends and developments in all market segments.
The Visual Intelligence API is an essential tool for reporting the following material, as well as literary links
between researchers and professionals. At The point, from a business point of view, professionals can create product demos,
groups, and usage data for the product to improve their results and collect feedback data that can be generated at using
recordings.
Also, the Department of Open Security can positively isolate visual content and recover business data from visual
content by using paid advances in visual scanning.
The product can be used as an IT administrator to use the Cloud IoT API to track property assessments and
inquiries, accelerate businesses, and secure personalized approaches to using IoT data. Talented researchers and private
researchers can use the product to improve the compatibility of IoT with machine learning capabilities at local and cloud
levels. They can use the product to create pseudo-capabilities of the human mind and to provide point data from unknown
data.
Regarding the machine learning API, the market segment is mainly interested in products, experiences and
companies, because the product will be an essential tool for any painter and researcher to integrate and integrate open
machine models in mechanical Information. Likewise, The API can top the list of data products for IT professionals and
technological work environments. The product is the time to create machine-based prototypes for commercial use, and it
provides an effective way for Uber cloud companies to get effortless and to engage with experienced business [9]. Machine
learning, giving an artificial ability over the life of the data, and development of engineers involved in the production of
prototype models. Building those with limited machine learning data are different from those with the highest machine
learning models that can be adjusted to meet the needs of their business.
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p-ISSN : 2615 3785
Researchers, professionals and all data business can benefit from the product; The Data Segregation API is a
device that quickly collects and separates data for further testing. IT professionals, for example, data engineers, data leaders,
researchers, and professionals, can buy data without much hassle.
PRODUCT CREDIT STRUCTURE
The product credit structure is used to describe the main advertising benefit of the right product. As noted in the
review, the framework will be a client for cloud-based AI development products. For example, products must have an IoT
configuration and a data generation API, one of the key components affecting the economy and business. Visual
authentication APIs can help provide social issues to government and security officials and researchers.
ETHICS AT ARTIFICIAL INTELLIGENCE
While cyber security has long been a concern in the tech world, some companies now need to think about physical
threats to the public. In traffic, this is a particularly urgent concern.
For example, how should self-propelled vehicles operate in the event of a controversial accident? Protocol machine tools
such as MIT are designed to measure the general perception of how autonomous cars work when human damage is
unavoidable.
However, the moral question is beyond how to minimize the damage. It means that an international body is needed
to define the criteria for resolving ethical and moral dilemmas because there is a specific need to design mechanisms for
decision making.
It is essential to emphasize the universal aspect of these standards. Countries all over the world are participating
in artificial intelligence races and rapidly building robust systems.
If the race ignores the development of "protocol" mechanisms to cultivate artificial intelligence, the damage can
be significant. International standards can provide guidelines and standards for developers to ensure that machine systems
minimize risk and damage.
SOME OF THE APPLICATIONS OF A.I
Information technology trends such as big data, the Internet of Things, complete vehicles, and voice and image
recognition are creating new "goals" to guide AI tools.In particular, it monitors the costs and capabilities of the cloud, as
well as what different players are doing or saying about artificial intelligence [7]. As with everything in computer
technology, the many following possibilities cannot be foreseen or anticipated.
The impact artificial intelligence is having on our present-day lives is tough to neglect for instance AI-powered
robots are working alongside humans to perform a limited range of tasks like assembly and stacking, and predictive analysis
sensors to stay equipment operating smoothly. Nokia has introduced a video application that uses machine learning to alert
an assembly operator if there are inconsistencies within the production process. Thales SA is using machine learning to
predict preventative maintenance for high-speed rail lines throughout Europe. it's developed an AI algorithm to predict
potential problems and identify when particular parts got to get replaced, attaining a high level of reliability within the
process and increasing the security for normal travellers. The BMW Group uses AI to gauge component images from its
assembly line, allowing it to identify, in real-time, deviations from quality standards. An AI application analyses the vehicle
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p-ISSN : 2615 3785
order data with a live image of the model designation of the freshly produced car. If the live image and order data don't
correspond, for instance, if a designation is missing, the ultimate inspection team receives a notification about it. Nissan is
using AI to style new models in real-time, hoping to scale back their time-to-market for the next-generation model series.
Nissan named the program Drive Spark, and it has been alive for four years. They've also used AI to extend the lifecycles
of all their existing models also. In healthcare within the comparatively AI-nascent field of healthcare, diseases are more
quickly and accurately diagnosed, drug discovery is sped up and streamlined, virtual nursing assistants monitor patients
and large data analysis helps to make a more personalized patient experience. Some extreme development within the field
of healthcare includes PathAI may be a developing machine learning technology to help pathologists in making more
accurate diagnoses. The company's current goals include reducing error in cancer diagnosis and developing methods for
individualized medical treatment. The primary goal of BenevolentAI is to urge the proper treatment to the proper patients
at the proper time by using AI to supply a far better target selection and supply previously undiscovered insights through
deep learning. Ken Sci have combined big data and AI to predict clinical, financial and operational risk by taking data from
existing sources to foretell everything from who might get sick to what's driving up a hospital’s healthcare costs. When
IBM's Watson isn’t competing on Jeopardy!, it's helping healthcare professionals control their data to optimize hospital
efficiency, better engage with patients and advance their treatments. It is currently applying its skills to everything from
developing personalized health plans to interpreting genetic testing results and catching early signs of disease. In education
sector AI has been integrated with our present education system by many to bring a revolution within the field of learning.
There are lots of application related to A.I which are upgrading in future.
CONCLUSIONS
As the article mentioned earlier, most of the tasks related to business can be automated using artificial intelligence
and machine learning, but the most significant element is the human at the current technical level, we are not able to create
a fully automated business and transform an existing business into a fully automated business. Some business functions
such as accounting and information management can be automated, while other functions such as human resources, sales
and marketing may be automated, but it affects the human. It will make the human race in to invalid one. So what we can
do is adopting this technology in a human friendly way, will make it as a boon to this society.
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