This invention relates to a system to develop Modeling the Barriers of Artificial Intelligence Adoption in the Organizations.
BACKGROUND OF THE INVENTION
In developing markets, Artificial Intelligence is one of the crucial predominant determinants for organizational practices and development. AI is increasingly driving decisions on everything from crop harvests to consumer analysis, and once far-fetched ideas like fully automated customer service are becoming a reality. AI-enabling technology, like as development platforms, massive processing power, and data storage, are fast evolving and becoming more inexpensive. The moment appears to be right for businesses to take advantage of AI. Indeed, we anticipate that AI will boost the world economy if able to implement successfully.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
Accordingly following invention provides a primary focus over the implementation of artificial intelligence adoption, therefore, it is very important to identify these barriers of AI to conceptualize it systematically. Results shows that low regulations are the most important factor and functional as root cause and further lack of IT infrastructure is the barrier. These two factors require most attention by the government of India to improve Artificial Intelligence adoption. These findings can play a significant role to identifying important points that affect AI adoption in the organizations.
Objective of the invention
The prime objective of the contemporary invention is to provide a hierarchical list of barriers to implement artificial intelligence in organizations.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Figure I: Flow diagram for preparing ISM
Figure II: Diagraph - barriers of Artificial Intelligence Adoption
Figure III: Barriers of Artificial Intelligence Adoption in Organization by ISM model approach
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The present invention shows the barriers which are critical and poses challenges to curb for the policymakers of the artificial intelligence adoption in organizations of India. Artificial intelligence to be most effective for an enterprise and it is the responsibility of each and every employee of the organization.
Instead, in order to implement AI in a way that produces actual benefits, it must be done in collaboration between IT and the entire organisation. The government should also keep consideration for better implementation of artificial intelligence and its adoption by organization. Because AI adoption is new, we did a complete assessment of the literature first, followed by a qualitative approach utilising a survey to collect data.
Encouragement for artificial intelligence by the organization it works collaboratively across the various functional areas. The capability to assemble and interpret data is fast improving, opening up new possibilities for reshaping how firms run. After implementation of AI organizations can analyze pattern and draw insights from data to reach more rational decision.
Interpretive Structural Modelling (ISM) was used to classify the inter relationship among the variables (Figure I).
Inter-relationship of variables found from ISM will assist as an input for further techniques like structural equation modelling etc. This study provides all the most important barricades in artificial intelligence in the organizations, especially in the Indian scenario. Based on the literature review, in the beginning, 18 barriers were recognized but after a brainstorming session with the experts, these barriers were reduced to 12 barriers.
The digraph (Figure II) reflects at level VI Low Regulations (B10) have the highest driving power. Further at level V includes three barriers unproven technology (B9), underwhelming performance (B12), and lack of IT infrastructure (B3), all three barriers influence each other at the same level. Level IV contains three factors Talent shortage (B4), Lack of awareness (B8), and Challenges of Cyber Security (B2). At the same level, all three barriers influence each other.
Level III includes two barriers’ Lack of Budget (B5) and Data challenges (B6) influencing each other at this level. Level II comprising two barriers known as Resistance to Learn (B1) and a Non-supportive environment (B7). At Level, I on the other side Low AI Adoption (B10) has high dependence power which depends on other barriers (Figure III). Further to analyze driving power and dependence power of the barriers.

We Claim:

1. A system of develop modeling the barriers of artificial intelligence adoption in the organizations comprises set of barriers obstructing artificial intelligence adoption in the organizations and also reflects the contextual relationship and interaction among those barriers by developing a hierarchical paradigm by using ISM approach.
2. The system as claimed in claim 1, wherein cross-impact matrix multiplication is applied for classi?cation analysis to ?nd dependent, independent and linkages.
3. The system as claimed in claim 1, wherein Interpretive Structural Modelling (ISM) is used to classify the inter relationship among the variables.
4. The system as claimed in claim 1, wherein Inter-relationship of variables found from ISM assists as an input for further techniques like structural equation modelling.
5. The system as claimed in claim 1, wherein at level VI Low Regulations (B10) have the highest driving power; further at level V includes three barriers unproven technology (B9), underwhelming performance (B12), and lack of IT infrastructure (B3), all three barriers influence each other at the same level.
6. The system as claimed in claim 1, wherein Level IV contains three factors Talent shortage (B4), Lack of awareness (B8), and Challenges of Cyber Security (B2); at the same level, all three barriers influence each other.
7. The system as claimed in claim 1, wherein Level III includes two barriers’ Lack of Budget (B5) and Data challenges (B6) influencing each other at this level. Level II comprising two barriers known as Resistance to Learn (B1) and a Non-supportive environment (B7).
8. The system as claimed in claim 1, wherein at Level, I on the other side Low AI Adoption (B10) has high dependence power which depends on other barriers; and further to analyze driving power and dependence power of the barriers.