'Technology is widely considered as a stimulus that initiates growth and development for individual organizations as well as world economies. Accordingly, you are required to critically discuss the...

Table of Contents
1.    Introduction    2
2.    Background of the company    2
3.    Critical analysis of the topic    2
4.    Role of big data in creating organizational competitiveness for Tesla    3
5.    Role of virtual realities in creating organizational competitiveness for Tesla    4
6.    Role of IoT in creating organizational competitiveness for Tesla    5
7.    Role of artificial intelligence in creating organizational competitiveness for Tesla    6
8.    Role of data weaponization in creating organizational competitiveness for Tesla    7
9.    Conclusion    9
References    10
1. Introduction
The disruptive technology can help in delivering important benefit for competition and consumers in the tem of better and new services. It can help in stimulating price and innovation competition for established providers. It can also give rise to legitimate public policy along with created demand for regulation. The study is based on analysis of use of disruptive technology in Tesla Company for delivering benefit in competitive environment. This includes analysis of technologies like big data, virtual realities, IoT, artificial intelligence, data weaponization in Tesla and the way these technologies are keeping Tesla above in competition.
2. Background of the company
Tesla is an American manufacturer of electric automobiles, batteries and solar panel for cars. The company is behind one of the best-selling electric car. The company involves in car energy and manufacturing. It can be best describes as battery company and the company is also specialized in development of Lithium-ion battery and solar panels for storage of energy. The company designs, develops, leases and manufactures electric vehicle, storage system and energy generation. The company sells electric cars like Model Y, Model 3, Model X, Model S, Cybertruck, Tesla Semi, and Tesla Roadster vehicles.
3. Critical analysis of the topic
Disruptive technology are defined and it is based on which services and products are being developed for incorporating technology that are initially introduced with simple application at lower market price. It can help in competitive recognition of the market protection of product and services that are capable of transforming the incumbent producers. It includes recognition of factors of primary producer that can help in market penetration with predicted customer expectation and needs (Lu et al. 2022). The development of technological process has enables Company in producing higher quality of service and products that are developed on new business models. Digital transformation is changing business and technology model. It brings opportunities and challenges that are established for the company and provides with disruptive innovation. The development and wide spread of internet technologies has ensured improved connectivity along with essential factors for business models. It has achieved new age of digitalization that is more important than hardware. Interaction with customer can be increased digitally and it provides with better solution to connect with devices through cloud. Better connectivity enables organization in adapting the system and understanding the need of customer along with all specific requirements, aspects and deadlines.
4. Role of big data in creating organizational competitiveness for Tesla
Tesla uses technology for development of advanced vehicles that provides a wide range of cutting edge technology that is installed in the car. The company uses an autopilot system that is considered as an outstanding feature that is present in the market. This implied that self-driving vehicles are completely relying on information and data. In the absence of data, self-driven cars are not possible as vehicles will become incapable of operating safely. The company uses big dta because data is required for training the machine learning model and building artificial intelligence for autonomous cars. The data collected is used by Tesla for improving the company's development and research work (Ma et al. 2020). This is required for improving vehicle performance, customer satisfaction and also used for improving and development of future products. It is based on real-time information that is collected from vehicles. The implementation of big data applications in self-driving cars requires real-time traffic condition data, GPS data and object mapping data. With the level of connectivity, the volume of data generated can be massive and it requires huge storage. In the competitive environment, the company collects big data and the company can sell the mapping to other companies.
In order to gain advantage of big data, the company uses data from different social networks and forums that are related to Tesla customer complaints about the car for ensuring future improvement. The big data from different data sources are used for performing real-time analytics that can help in processing adaptive cruise control, object detection, identifying traffic signs, emergency braking and identifying traffic conditions. These features are providing companies a competitive advantage, as the company can adopt flee learning for improving the analytics process for using vast data funnels that can be set up. The data generated is massive by Tesla Cars and the company requires security for ensuring that the data is safe. Security of data in the transition phase of annotation, collection and usage process are included in the process. The application of using big data provides a wide range of analysis of vehicle maintenance for ensuring customer satisfaction (Hassani et al. 2020). The implementation and application of big data in Tesla is highly valuable and it is considered as critical data. Data is collected and sent to the corporate cloud for further analysis. The software gets the update remotely and it makes updates available for Tesla for making cars more efficient. The overboard computer runs on a neural net for using sonar, radar and vision processing systems.
5. Role of virtual realities in creating organizational competitiveness for Tesla
In Tesla, virtual reality is used for understanding the potentially complicated technology that is inside the self-driving car. The system allows the driver of the car to actively control the car in situations like human intervention and beyond a point movement. The system allows consumers to gain the experience for operating the self-driving car remotely and it is considered a novelty factor for opening the driverless car. The intelligent use of VR can help in removing unfamiliarity that is in the mind of the driver. The VR based autonomous vehicle system allows enforcement authority to...