Role of Artificial Intelligence in Digital Business and New Technologies

This presentation discusses the role of artificial intelligence in digital business and new technologies. It covers the impact of AI on corporate performance, a detailed description of AI, and the utilization of technology software and platforms. The conclusion highlights the importance of AI in enhancing productivity and performance levels. Strategic recommendations are provided for businesses to effectively implement AI, including compiling it with big-picture strategic goals, prioritizing short-term AI adoption, reviewing data strategy, and implementing AI practices and strategies into reality. References are also provided.

Digital Business & New Technologies

Table of Content
• INTRODUCTION
• SUMMARY REPORT OF DIGITAL BUSINESS
• CONCLUSION OF REPORT
• STRATEGIC RECOMMENDATIONS AND ITS APPLICATION
• REFERENCES

• Role of technology for success and growth of organisation.
• Impact of new technology (AI) on performance of corporate
• Detailed description on Artificial Intelligence.
• Utilization of technologies software and platforms
Summary Report of Digital Business

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• The artificial intelligence technology has change the whole world and drives
attention of each organisation towards developing plan in effective manner.
• It is considered with wide range of advance systems that are basically concerned
with the best machines which are effective in terms of completing tasks that
requires human intelligence.

Conclusion Of Report
• From overall study it had been concluded that artificial
intelligence plays an important role in enhancing the
productivity and performance level of companies and that of
the corporate world. It has also helped the firm to reach
expected outcomes in time saving and effective manner.

Strategic Recommendations and its application in the organisation
• Business strategy : Merely application of artificial intelligence wont produce best
results. To get the most out of the artificial intelligence it is important to compile
them with the big-picture strategic goals or various business strategy.
• Short-term AI adoption priorities : Transformation of services, products or
processes is never going to be an overnight task. The situation requires time to
deliver the use cases.

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• Data strategy:
In order to efficiently apply the functions of artificial intelligence, it is
important to use lots and lots of data and therefore it is important to review your
data strategy in relation to each AI use case and pinpoint the key data issues which
involves the setting up of data collection methods, using right sort of data to
achieve AI priorities and how to acquire data in a more strategic way.

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• Implementation: It involves application of AI practices and its strategies into
reality. This involves questions related to delivery of AI projects, assigning
responsibilities for delivering each action and what projects or actions are need to
be outsourced.

References
• Duncombe, R. ed., 2018. Digital technologies for agricultural and rural
development in the Global South. CABI.
• Büyüközkan, G. and Göçer, F., 2018. An extension of ARAS methodology under
interval valued intuitionistic fuzzy environment for digital supply chain. Applied
Soft Computing, 69, pp.634-654.
• Bashminov, A. and Mingaleva, Z., 2019, May. The use of digital technologies for
the modernization of the management system of organizations. In International
Conference on Integrated Science (pp. 213-220). Springer, Cham.