Abstract

The rise of neoteric technologies like Machine Learning, the Internet of Things, Cloud Services, etc has affected the life of a common man at various levels. Irrespective of the size or domain, almost all companies are now incorporating digitization to various degrees and thus progressing towards a new business model with little or no significance to geographical and physical barriers. This shift from traditional store models to automated entities is referred to as Digital Transformation. It is the simplified way of outlining how digital technologies are transforming and automating business operations across all organizations irrespective of their domain. This digital revolution relies on a whole range of machinery, networks, services, and operations to expand their power of communication, thus ensuring seamless integration with the technologies. At this juncture, there would be many challenges in both technical and non-technical aspects. To facilitate successful automation by resolving those issues, using the concept of virtualization can be very helpful. Virtualization is the process of creating a virtual instance of hardware resources like virtual applications, servers, or storage by logically separating them from the hardware. It enables multiple applications or operations to gain access to the hardware resources/ software resources of the host machine. In a sense, virtualization is always at the center of all this revolution providing a rock-solid foundation. For example, when digitizing an organization, machine learning algorithms are applied to the IoT data in addition to the organizational data. Given the huge size of data, companies adapting to this automation rely on cloud services for data management because of the reliability it provides. This issue is solved using the Edge Computing concept which is an advanced implementation of Virtualization. In this paper, we try to discuss such challenges and try to understand how virtualization can be useful in solving them. This can be exemplified using a hypothetical digitalization in a retail store scenario.

Highlights

  • The advent of digital and social media platforms has led to a meteoric rise in data and changed the way people communicate with each other

  • Augmented Intelligence: Augmented intelligence is an alternative conceptualization of artificial intelligence that focuses on AI's assistive role in advancing human capabilities

  • We considered three dataset modules as recently used data

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Summary

INTRODUCTION

The advent of digital and social media platforms has led to a meteoric rise in data and changed the way people communicate with each other. This along with the evolution of various digital technologies like Artificial Intelligence, Advanced Analytics, Internet of Things, Augmented and Virtual Reality, etc., is pushing various organizations to adopt these technologies by transforming their key business operations and enabling Digital Transformation (DX) in organizations across various domains. This transformation has the power to progressively branch out and boost productivity across all sectors and industries. Fast-paced revolution is diminishing the barriers between the physical and virtual worlds by inventing new digital business models

Implement privacy providing technologies
Management of the end-product digitally
Augmented Intelligence
Challenges
RETAIL STORE SIMULATION
PROPOSED MODEL
Deep Learning Model
EXPERIMENT
RESULTS
CONCLUSION
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