Journal of Hotel and Business Management
Open Access

Business Strategies for Artificial Intelligence Techniques: Commentary

John Yelma^{* *}Correspondence: John Yelma, Department of Hotel and Business Management, Jamia Millia Islamia University, Jamia Nagar, Okhla, New Delhi, India, Email:

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Description

This report aims to provide the foundation for the National Plan for Artificial Intelligence's future development. While this paper makes a number of proposals, some of which may be called disruptive, specifics (such as implementation and budgetary implications) have purposefully been ignored because they must be refined through larger consultations and consensus building. The goal of this document is to serve as a "important pre-read" for developing a strategy that is genuinely revolutionary in the pursuit of AIforAll. The capital infrastructure affects how an ebusiness can receive funding and afterwards be valued.

The media infrastructure is a critical issue for all e-commerce management because the Internet acts as a platform for mass communication. Online company managers must learn how to manage a team that is in charge of the design interface, stylistic preferences, editorial standards, and content decisions for the new communication venue. Thus, the online sales manager also publishes digital content online. He or she should make decisions on the media's mediums (such as print, audio, and video), content, and editorial policy, which encompasses tone, style, and appearance.

Strategies of artificial techniques

Artificial Intelligence (AI) is the field that studies how well machines can understand, perceive, learn, solve problems, and make decisions. AI has developed well beyond its original vision, which was for it to be a system that could mirror human intelligence. Intelligent systems may now be used to handle a range of activities, facilitate communication, and boost productivity thanks to significant advancements achieved in data gathering, processing, and computation power. As AI's capabilities have rapidly increased, so too has its applicability in an increasing variety of industries.

India has a chance to develop its own style of AI leadership given the technology's truly revolutionary nature and the early stages of its global adoption. The proposed brand for India, #AIforAll, suggests inclusive technological leadership, where the entire potential of AI is realised in response to the nation's particular needs and goals. The goal should be to use AI as a "Garage" for emerging and developing economies, as well as for social, economic, and inclusive growth. They should redesign their websites so that "client retention" is more of a priority than "customer acquisition" in order to guarantee quality of service. Global markets can be reached using the Internet. Online collaborations between SMTEs and large corporations are essential. They should utilise their resources to establish an online neighbourhood. When creating an e-business strategy, they should consider their respective business contexts.

Having a website link for a Destination Management Organisation (DMO) is necessary for success. The invention of an online reservation system is the most significant technological advancement. A few actions that should be performed to win back customers' trust and confidence include using "about us," "Fequently Asked Questions (FAQs)," and "contact centre" services. Existing SMTEs should consider their e-strategy concerns.

Business system techniques

The role of the government in society is vital. The essential concept is that the private sector drives the market. Whenever government action is necessary, it should endeavour to support and uphold a clear, minimal, consistent, and predictable legal framework. The government should refrain from erecting pointless obstacles to online business. The government must actively encourage entrepreneurship. Some of the main policy objectives include improving the legal and regulatory environment, bringing government procurement online, and promoting e-transformation in various industry sectors.

Conclusion

The purpose of this work was to construct artificial intelligencebased forecasting models to forecast environmental indicators of land levelling. Our strategy for adopting AI includes skilling and reskilling our workforce as technology alters the nature of professions and modifies the standards for technological proficiency. To meet the shifting demands of the labour market, there is an urgent need to upskill the current workforce and cultivate future potential. This could be accomplished by implementing decentralised teaching strategies and collaborating with the private sector and educational institutions to impose certification that has value. Also, it is important to identify and promote new job opportunities, such as data annotation, because they could replace a sizable section of the labour that may become redundant as a result of rising automation. A few words of wisdom for entrepreneurs, decision- makers, and industry experts, particularly SMTEs. Although these recommendations are developed for the Korean e-tourism market, they probably also hold true for the travel and tourism industries in other countries.