Characteristics and Significance of Artificial Intelligence Globally

This document discusses the characteristics and significance of artificial intelligence globally. It covers topics such as feature engineering, deep learning, and artificial neural networks. It also explores the opportunities and challenges posed by AI in organizations and strategies to address trust, responsibility, fairness, bias, inclusion, socio-economic impact, and environmental impact. The document focuses on the case of Italiano, a restaurant that has implemented AI solutions for decision-making.

Business Information System
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Table of Contents
INTRODUCTION...........................................................................................................................3
TASK 1............................................................................................................................................3
Characteristics and significance of artificial intelligence globally.........................................3
TASK 2............................................................................................................................................4
Organisational opportunities and challenges posed by artificial intelligence........................4
TASK 3............................................................................................................................................6
a) Overview of business, the BIS Solution, performance objectives and security risks........6
b) Strategies to address trust and responsibility.....................................................................6
c) Strategies to address fairness, bias and inclusion 150 Words............................................7
d) Strategies to address socio-economic and environmental impact 350 Words...................8
e) Explanation of business strategy and analysis of how application of principles will
contribute to business strategy................................................................................................8
CONCLUSION................................................................................................................................9
REFERENCES..............................................................................................................................10
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INTRODUCTION
Business Information Systems can be defined as a method, which helps an organisation to
interrelate number of procedures considering an effective IT infrastructure. With the help of this,
a company directly disseminate desired information and generate it according to the desired
goals and objectives. This type of system specifically designed for supporting the overall
decision making process of a firm, that aid in finding a path to attainment of different goals and
objectives (Ababneh, H., Shrafat, F. and Zeglat, 2016).
Along with this, new business that has been taken into consideration is Italiano.
Basically, this restaurant is serve a contemporary take on impeccably executed Italian dishes,
where it has implied BIS Solution i.e. Decision Support System (DSS) for improvising the
decision making process. Away with this, report is going to be enclosed with opportunities,
challenges, characteristics & significance of artificial intelligence. Lastly, this assessment will
also consider different strategies adopted by Italiano that are directly linked with fairness, bias,
inclusion, trust, responsibility, reduce the environmental impact and socio-economic.
TASK 1
Characteristics and significance of artificial intelligence globally
Artificial intelligence is defined as ability for designing tools and machines or self
learning software applications which imitate traits of a human being. It is essential for an
organisation to adopt AI for doing work like humans and enhance problem solving, reasoning,
planning, sensory perceptions, decision making, etc. The major objective of AI is to outperform
human interactions in case of knowledge discovery and research community. There are some
main characteristics of artificial intelligence and these are described below -
Feature engineering - This term is known as process for identifying a minimal set of
informative elements in the given dataset. Machine learning process is improved by selecting a
meaningful set of elements or features. When there is efficient feature extraction process then
there is reduction of degree disorder known as entropy (Avila and Garcés, 2017). This is known
as diversifying datasets on the basis of chosen elements. A lot of information is grabbed after
using the selected features. In some cases, there is zero correlation among the features and this
helps in attaining interdependence as well as minimality of the feature set. The aim of selecting
feature set is achieved by using techniques such as Gram-Schmidt orthogonalization process and
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Principal Component Analysis. Within business, feature engineering is used for building a lead
scoring model to predict value of a lead. Companies can make money and profit by following up
with the lead. Companies which are dealing in B2B software have benefit in which sales people
can focus upon high value leads.
Deep learning – There are a lot of hidden layers between output and input layer when
there is comparison with artificial neural network. This type of architectural change helps deep
learning framework for performing automatic feature extraction with classified learning. There is
need of proper training with well labelled datasets along with supervision (Brandon, 2016) The
time taken for learning this model is minimised with the usage of high performance parallel
computing GPU's.
Artificial Neural Networks - There are weighted connections between computing nodes
within neural network. In the learning phase of this model, optimal weights of connections are
deduced. This is done by adjusting the connections according to common weight sharing
strategy. The feedback of this network received from backward propagation algorithm is used for
developing network strategy. Each and every node of network calculates sum of values (5
characteristics of AI technologies worth investing in, 2017)
TASK 2
Organisational opportunities and challenges posed by artificial intelligence
Artificial intelligence is an important topic that is used in business nowadays. It is not
easy for all businesses to know how AI is implemented in functions of the company. AI is an
opportunity for providing change in different organisations. AI technology affects the way in
which users are interacting and affected by internet. This new technology has changed the way in
which business is done (Carvalho and et. al., 2019).
All the stakeholders of company participating in meeting and analysing the impact of AI
technology on business. When there are more stakeholders within the company, then it is easy to
expertise to discussions relating to AI. This is a continuously changing technology in which there
are impacts on everyday life. Learning and reasoning traits help AI for bringing immense socio-
economic opportunities and posing social as well as ethical challenges. When bushiness uses
artificial intelligence, there are both organisational opportunities and challenges. These are
explained below -
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Organisational opportunities by AI
Potential of AI in selection and talent development – AI is helpful in transforming
process of developing and identifying talent within company. AI can help organisations in
external prospects. This enables identifying current employees who can have suitable role in
company. The approaches of AI helps transportation companies to identify candidates who have
to drive safely within fuel efficient manner.
Digital transformation and preventing data – The adoption of AI enables partnership
with IT department. The AI adoptions are successful for starting business. The most essential
adoption outcome needs transition for a digitally enabled business model. This is helpful in
adjusting to the demands and needs of the organisation. It is not expected that AI is able to solve
problems which are not identified (Heinrich and et. al., 2017).
Aid in human decision making – With the increase in technological advancement, the
ability for applying AI in different aspects of the company will help in advancement. AI is an
essential part of the business strategy, performance management and human resource decisions.
This is important for all companies to work effectively and analyse information and make
decisions and implement actions.
Challenges by AI
The several challenges faced by organisations while adopting AI techniques are described
below -
Computing is not advanced – Deep learning and machine learning techniques are the
most essential factors and there is need of calculations for making quick decisions. There is lot of
procession power within AI. The use of cloud computing and parallel processing systems have
helped in implementing the AI techniques for short term. The deep learning is helpful in moving
towards automated creation of complex algorithms and cloud computing.
Less support of people - The implementation of AI is not enough within markets.
Organisations are not able to invest money in AI based projects. There are less people in market
who can understand vision of machine powered progress. It is essential for companies to use
ready made solutions and make their own data from it.
Creating Trust – AI is same as black box for individuals. It is very important for AI
techniques and software to build trust and loyalty among business and people. This helps in
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enhancing the way of functioning of an organisation. Government provides information to AI
companies regarding companies that are using new software or technique.
One track minds – Applied AI is developed for performing single task and learning for
doping better. The process followed by the company is to analyse inputs and results. The
generalised AI is different and new tasks are performed. AI's are trained for ensuring that their
solutions are not causing any problem (Hosseini and et. al., 2016).
TASK 3
a) Overview of business, the BIS Solution, performance objectives and security risks
Overview of Italiano:
A whole new restaurant named as Italiano, strives to serve a contemporary take on
impeccably executed Italian dishes, where there vibrant menu has taken inspiration from major
food locations (regions) of Italy to carefully craft an elegant cuisine, which is made from the
finest organic ingredients. Basically, this restaurant has taken into consideration of a particular
BIS Solution i.e. DSS (Decision Support System), which would lead them to make appropriate
decisions in uncertain situations.
Along with this, performance objective of Italiano is “To make every single activity
digitalised for better customer experience.”. Away with this, restaurant has also identified a
number of risks that are linked with security (pose catastrophic risks from accidents (safety) or
misuse (security)). In present context, it is said that Super-intelligence AGI may lead Italiano to
make decisive strategic advantage while integrating it with number of decisions.
b) Strategies to address trust and responsibility
Italiano has adopted an strategy for building trust in their customer by integration
artificial intelligence with AI-ONE this step is taken by firm because this sytem have numbers of
benefits to the Italiano (Kasemsap, 2018). AI-ONE is that technology which provides the
platform for processing document libraries, building agents and analysing results. The BrainDocs
API is available to enterprise developers for application development and is part of the cloud
related services in relation to MS Azure. The major Benefits of this system is that it help the firm
in building trust and responsibilities. Under this, business strategy that has been taken into
consideration is AI-One, where Italiano chatbots are the programs which solve problems without
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intervention of human and workforce. Adopting of these chatbots, simplify the work of
organisation to handle objections and queries (Nofal and Yusof, 2016).
Chatbots are designed in such a way that they can read and understand the patterns in
data. This assist in understanding human voice and action. So, entities can focus on core
activities of business which will give a boost in their research and development department. In
context to ITALIANO, they can use these chatbots to get preferences and feedback from
customers so that manpower resources cab be used in other departments of restaurant. It is virtual
assistant device developed by Amazon. This AI tool has created a great impact on digitalisation
as well as globalisation. Main advantage of this AI tool is that only this device has give a huge
rise in IT sector. Adoption of this by ITALIANO, will assist restaurant to balance between time
and operations. Customers can use this as device or support tool for giving food and beverages
details, online ordering and bills. This AI tool will help both customers as well as restaurant in
time and operation management will have positive environment. Through this, it can be said that
organisation would effectively generate ample number of decisions, which would lead firm to
gain ample number of competitive advancements.
c) Strategies to address fairness, bias and inclusion 150 Words
Italiano has taken into consideration of Block-Chain technique, which has helped in the
restaurants to gain information related to all the transactions that restaurant has made and also
client's requirements as well. Basically, Blockchain is an especially promising and revolutionary
technology because it helps reducing the different risks, stamps out fraud and brings
transparency in a scaleable way for myriad uses. Away with this, number of decisions that
company has made that are directly linked with date, time, and dollar amount of different
purchases that they have made (Paulsen and Toth, 2016).
Through this, company can also make appropriate decisions in relation to better
performing number of plans and the procedures. Along with this, since block-chain directly helps
in composing all the different external and internal tasks over a particular section, it would
directly lead Italiano to enhance the fairness, inclusions of different values and lastly, biasses
will be reduced to minima, because Artificial Intelligence works on the basis of human mindset,
but it also makes decisions on the basis of inbuilt information as well.
Away with this, block chain help the italiano in compiling the AI with their DSS . Which
help the organisation to matching the external and internal factors which are present in
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environment in nano seconds which is an imaginary situation for a human being to finish work in
nano seconds . Italiano will get benefit of fast serving and good decision making in there
organisation as AI will work more smarter than any human brain. company also have some
advantage that human brain are bias and AI never bias in there system. Smart decision-making
also facilitate company to reduce chances of conflicts. In addition to this, it is essential for entity
to undertake use of effective strategies and measures to formulate best decision-making. This
will effectively ensure company to stimulate their business growth in a well defined manner thus,
it has been determined that by taking advantage of AI business organisation have low rate of
error. In addition to this, day-to-day application of this tool provide lot of benefit to organisation
with the help of which they significantly able to organize and manage data in best effective
manner. Further it has been evaluated that AI also benefit entity to detect fraud in a well defined
manner.
d) Strategies to address socio-economic and environmental impact
In order to operate business functioning in a well defined and effective manner entities
within respective industrial segment are required to undertake advantage of different types of
strategies as to duly overcome and address environment and socio-economic impact. Measuring
socio-economic impact act as a powerful way with the help of which business organisation
policy makers can effectively able to measure the manner in which business activities duly
contribute towards goals and objectives (Subiyakto and et. al., 2016). In addition to this, it
significantly help entity to develop right rules and public services as to make significant manner.
In context with Italiano, company by taking advantage of the technique Apache Mahout can
ensure and effective work efficiency. It is mainly defined as a profoundly machine learning
library that effectively empowers engineers to undertake use of efficient and enhance
calculations. In addition to this, it allow entity to transform their large amount of data as well as
information into well effective remarkable data. Thus, it has been signified that with the
assistance of this technique business organisation can effectively able to serve their customers by
offering them services in a well defined manner. Further it has been evaluated that with the help
of undertaking various strategies into concern company can safeguard themselves from
overcoming the financial, social,environmental impact upon public policy or a project. Thus, as
per according to the above mentioned discussion it has been signified that with the use of
Apache Mahout technique developers within organisation can effectively able to mine out large
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volume of data in best effective manner. In addition to this, it allow to evaluate data faster and
even in more efficient manner. It basically include matrix and vector libraries along with
formative examples of all essential algorithms. Thus, by taking use of all these measures
Italiano, can operate their functioning in a well effective and advanced level by serving
customers at its best.
e) Explanation of business strategy and analysis of how application of principles will contribute
to business strategy
Business strategy that has been taken into consideration by Italiano, where at initial level,
it has adopted Decision Support System (DSS) for improvising the decision making process of
restaurant and now, it has integrated it with Artificial Intelligence (AI), which will lead
restaurant to develop a whole new system, where machines and different systems, will lead to
take right decisions in a few micro seconds, which was previously a time taking process due to
different reasons like slow computation, human mindset and so on.
Along with this, it is also said that with the help of Block-Chain will directly lead Italiano
in improvising the algorithms in much effective developing different technologies, where
learning machines may also lead to emergence of advanced artificial intelligence in the future of
Italiano. Including this, it is also said that it will be required by this restaurant to invest
effectively, so that right amount of modifications could be made in specified time frame
(Zdravkovic, Stirna and Grabis, 2017).
On the other hand, if it is talked about AI-One then it will lead Italiano to develop
Artificial neural network, within it's upcoming chains, where company will incorporate formula
in relation with modelling on biological networks of algorithms support and through this, DSS
along with process of technology will lead different machines to learn of a number of
modifications that are going to take place in near future related to business environment.
Lastly, simulation, which is a particular principle of Artificial Intelligence that shows
number of benefits that Italiano can get of utilising socio-economic related strategy and i.e.
Apache Mahout. Here, it is also said that it will be required by Italiano to implement different
range of plans and procedures. Away with this, it has also been summarised that Artificial
intelligence within DSS systems will lead and enable Italiano too perform a number of
automated functions, which may aid in contacting different administration, conducting the data
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recording and lastly, Italiano would also become fruitful while conducting the analysis, in
performing different ranking at workstation (Paulsen and Toth, 2016).
CONCLUSION
With the help of above mentioned report, it is being concluded that Artificial Intelligence
is going to become a primal element of people's life in near future. Including this, it is said that
considering Decision Support System (DSS) and integrating it with Artificial Intelligence, then
an organisation may effectively manage it's decisions while operating different functions.
Through this, the organisation would effectively improvise the benefits from socio-economic
factor and would also reduce the impact of uncertain business environment. Also, major
challenge that came in front of AI is that in present computing is not that advanced, which has
impacted on overall performance level of a business company. Away with this, it is also said that
AI will also lead the company to integrate different solutions, which will result into upliftment of
customer support system.
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REFERENCES
Books and Journals
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Avila, O. and Garcés, K., 2017. Change management support to preserve Business–Information
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Brandon, D., 2016. The blockchain: The future of business information systems. International
Journal of the Academic Business World. 10(2). pp.33-40.
Carvalho, J. V. and et. al., 2019. A Maturity model for hospital information systems. Journal of
Business Research. 94. pp.388-399.
Heinrich, R. and et. al., 2017. Integrating business process simulation and information system
simulation for performance prediction. Software & Systems Modeling. 16(1). pp.257-
277.
Hosseini, M. and et. al., 2016, June. A modelling language for transparency requirements in
business information systems. In International Conference on Advanced Information
Systems Engineering (pp. 239-254). Springer, Cham.
Kasemsap, K., 2018. The role of information system within enterprise architecture and their
impact on business performance. In Global Business Expansion: Concepts,
Methodologies, Tools, and Applications (pp. 1078-1102). IGI Global.
Nofal, M. I. M. and Yusof, Z. M., 2016. Conceptual model of enterprise resource planning and
business intelligence systems usage. International Journal of Business Information
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Paulsen, C. and Toth, P., 2016. Small business information security: The fundamentals (No.
NIST Internal or Interagency Report (NISTIR) 7621 Rev. 1). National Institute of
Standards and Technology.
Subiyakto, A. A. and et. al., 2016. Measurement of the information system project success of the
higher education institutions in Indonesia: a pilot study. International Journal of
Business Information Systems. 23(2). pp.229-247.
Zdravkovic, J., Stirna, J. and Grabis, J., 2017. A comparative analysis of using the capability
notion for congruent business and information systems engineering. Complex Systems
Informatics and Modeling Quarterly, (10), pp.1-20.
Online
5 characteristics of AI technologies worth investing in. 2017. [Online]. Available through:
<https://venturebeat.com/2017/11/01/5-characteristics-of-ai-technologies-worth-
investing-in/>.
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