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presentationspeech.docx

My topic is to analyze the impact of artificial intelligence on Tesla's sustainable competitive advantage.

In the first part, I will introduce artificial intelligence and Tesla.Artificial Intelligence is referred to as AI for short, aims to use digital computers or computer-controlled robots to simulate human thinking to complete some tasks. To be more specific, artificial intelligence is to develop and apply those that can simulate or extend human intelligence through the comprehensive application of theoretical methods and technologies. Systems and applications. These systems and applications can help machines better complete tasks responsible for human intelligence.

Tesla is an electric vehicle and energy company in the United States. It mainly covers automobile and energy businesses, including automobile production, sales and leasing, energy production and storage and other services. The star product is a pure electric vehicle and has added autonomous driving technology. Tesla's intelligent driving system uses various sensors, cameras, radars and other equipment to collect and analyze road conditions, vehicle position, driving, speed and other information to achieve automatic driving. Tesla achieves automatic driving through continuous innovation, technological leadership and market Expansion has established its leading position in the electric vehicle market and become a benchmark enterprise leading the autonomous driving industry.

This section analyzes the impact of artificial intelligence on Tesla's current competitive advantage.Tesla's competitive advantage is that they are leading the industry in terms of smart driving and intelligence and they are constantly improving their self-driving technology. They have unique autopilot technology and algorithms, and their autopilot technology is capable of fully autonomous driving with high accuracy and implementation, on the other hand, Tesla's cars are equipped with advanced AI network connectivity technology that enables Tesla's cars to be highly connected and provide a range of services such as access to information, entertainment and navigation.

Tesla's artificial intelligence strategy is based on "machine learning", giving priority to artificial intelligence.

The method is divided into three, the first is the advantage of using users to help create data, which is the film and television mode launched by Tesla, so that artificial intelligence runs in the background to learn the daily operation of the owner and improve the automatic driving ability.

The second is similar to installing a smart brain in the car through deep learning, so that the machine can calculate and learn skills in the virtual world, but essentially through electronic devices to complete automatic driving, just like installing a mobile phone in the car.

The third is to use the D1 chip, which is the neural network training independently developed by Tesla. The chip belongs to a supercomputer that can achieve super-strong examples and ultra-high bandwidth.

This part analyzes the strengths, weaknesses threats and opportunities of Tesla based on SWOT.The advantage of Tesla's strategy is that it has a large data collection fleet and users, as well as many top software and hardware R&D talents. It has advantages in autonomous driving that other manufacturers cannot achieve.

The shortcomings of Tesla's strategy are that it is not perfect in terms of safety, and the artificial intelligence learning of human habits is not complete enough, because there are still many rare actions and scenarios that are extremely difficult to grasp.

Tesla's opportunity has four aspects, the first point is the vigorous development of the electric vehicle market, which can provide a broader market opportunity for Tesla. The second point is the support of the government, because governments are vigorously supporting electric vehicles, which also brings opportunities for Tesla. The third point is the development of new energy products, because now various countries and people pay more and more attention to environmental protection, and Tesla is also developing more and more new energy products, which brings new growth opportunities.

The first threat to Tesla is its competitors, as the electric car market becomes more and more fierce and other electric car manufacturers continue to improve. The second is the restrictions of laws and regulations, because the governments of various countries gradually strengthen the supervision of the automobile industry, Tesla needs to face more legal restrictions. The third is the issue of product safety, because Tesla mainly uses AI systems to control vehicles, and people's trust in him is not enough, on the other hand, many forms of AI can not imitate, or some decisions can not be judged.

A business expansion strategy is a strategy that can generate more sales or capture a larger market share for a company. Tesla entered the European market in 2013 and continues to expand sales channels and super charging in Europe. Many European governments have introduced incentive policies, further promoting Tesla's business expansion in the region. Vertical integration focuses on integrating at different levels of an industry chain. For example, Tesla uses this method, which integrates the three processes of energy collection and power generation, energy storage and use.

This section is about the ethics of artificial intelligence.In the near future, artificial intelligence technology will have a great impact on human development. For example, Tesla's autopilot technology has brought great convenience and efficiency improvement to humans, but it has also brought ethical problems. The most important point is the issue of safety, because the autonomous driving technology may fail, his response is to strengthen the testing and supervision of the autonomous driving system, ensure its stability and safety, and strengthen maintenance and management. The second aspect is the issue of ethical decision-making, such as whether an autonomous vehicle needs to prioritize the protection of passengers or pedestrians in an emergency, and the response to this needs to be guided by the corresponding laws to make the right choice for AI. The third point is the employment issue, the development of autonomous driving technology, may lead to the reduction of employment opportunities in some industries, his response is to strengthen the guidance and training of relevant industry talents to provide new employment opportunities, but also need to establish corresponding policies to support the affected groups.

In general,With Tesla's commitment to vertical integration, artificial intelligence systems and autonomous driving, Tesla has developed a clear technological advantage, and market competitiveness. This strategy of Tesla has helped the company to reduce costs amplify overall profits, and has given them a head start and advantage in the market, as well as fostering the renewal and growth of the company.

presentation.pptx

The impact of software technology on Tesla

2024

Chenshiyu Liu

Enmin Jin

Yilong Peng

Yifan Ye

FROM:

CONTENTS

Tesla

The impact of Tesla's original Autopilot 1.0 on performance and the economy

contemporary business issue

Software technology

01

02

03

04

Technology advancement

Conclusion

Disadvantage

Profit

05

06

07

08

Tesla

Tesla, Inc., formerly known as Tesla Motors, is the largest electric vehicle and solar panel company in the United States, and has a battery business with Panasonic, producing and selling electric vehicles, on-board computers (FSD systems), solar panels and energy storage equipment and system solutions. Tesla is the world's first manufacturer of self-driving cars, and by 2018, Tesla Motors had become the world's best-selling plug-in car company.

These pictures are the location of Tesla (Wikipedia, 2023)

Software technology

What is Software technology?

Software technology is a technology that deals with computer programs, algorithms, data structures, and their associated methods of development, testing, and maintenance. It is an important field of computer science that focuses on the design, implementation, optimization, and management of software systems. Software technology covers various technologies and methods used in software development and operation and maintenance(Liu, 2024).

Why is software technology important to Teala?

Electric vehicle control and management(Liu, 2024)

Autonomous driving functions(Liu, 2024)

Vehicle safety and updates(Liu, 2024)

Vehicle diagnostics and remote support(Liu, 2024)

Our chosen contemporary business issue

Autopilot 1.0 is Tesla's self-driving technology, first introduced in 2014, which is based on data from sensors and cameras to assist drivers in autonomous driving;

Tesla's autopilot technology has raised concerns about driving safety while improving convenience;

Since 2019, a total of 17 deaths and 736 crashes have been caused by Tesla's self-driving technology (Blanco, 2023).

The impact of Tesla's original Autopilot 1.0 on performance and the economy

Tesla's second quarter financial statements for the fourth quarter of 2019 and the first quarter of 2020 (Teala | IR)

According to the comparison of Tesla's financial statements in the fourth quarter of 2019 and the first and second quarters of 2020, it is not difficult to see that Tesla's performance and economic income shrank by 19.4%. Accidents and injuries raise questions of legal liability, and Tesla is required to pay damages. This has an impact on the financial situation of the company, including the cost of legal proceedings and the amount of compensation. Accidents with self-driving technology affect consumer trust in Tesla products. Affecting sales and market share. Accidents and casualties have an impact on investor confidence, leading to a range of issues such as stock price volatility. The early generation of immature autopilot technology has brought extremely negative performance and economic impact to Tesla.

Technology advancement

By introducing advanced artificial intelligence technology, Autopilot 4.0 is capable of making complex driving decisions, which take into account road conditions, vehicle behavior and traffic signals;

Autopilot 4.0 leverages vast amounts of real-time data, including radar, camera and sensor data, to achieve a highly accurate sense of the surrounding environment;

The FSD (Full Self-Driving) function enables a more advanced perception of the surrounding environment through deep learning models to predict the behavior of other road users.

Advantage

TECHNOLOGICAL ADVANCES

Autopilot 4.0 introduces advanced artificial intelligence technology capable of making complex driving decisions that take into account road conditions, vehicle behaviour, and traffic signals, advancing the state of the art.

ACCURATE PERCEPTION OF THE ENVIRONMENT

Autopilot 4.0 uses a large amount of real-time data, including radar, camera, and sensor data, to achieve a highly accurate perception of its surroundings, improving the safety of autonomous driving.

Fully Self-Driving (FSD)

The FSD function further enhances Autopilot's ability to sense its surroundings and predict the behaviour of other road users in a more advanced way through deep learning models.

Enhanced convenience

Autonomous driving technology makes driving more convenient, reducing the burden of driving and improving the driving experience in certain contexts, such as motorways.

DATA-DRIVEN IMPROVEMENTS

Improvements using real-time, large-scale data help to continuously optimise autonomous driving systems, improving performance and safety.

Disadvantages

Safety concerns

Past accident statistics show that Tesla's Autopilot technology has led to several accidents and fatalities, raising safety concerns. It remains to be seen whether the introduction of the new technology will be enough to allay these concerns.

Legal liability

Past accidents have led to legal liability issues, with the company having to pay compensation, which has negatively impacted Tesla's financial position.

Impact on consumer confidence

Accidents have negatively impacted consumer confidence in Tesla's products, which could lead to a decline in sales and market share.

Decline in investor confidence

Accidents and casualties have a negative impact on investor confidence, which can lead to a number of problems, such as share price volatility, which can adversely affect the company's finances and reputation.

The challenge of constant technology updates

The introduction of new technology requires users to adapt, which may involve updating hardware and software as well as training users, which can be challenging and costly.

CONCLUSION

Before 2019

·To be questioned and not trusted

·Low income and facing compensation

NOW

·High customer satisfaction

·Become an industry leader

Because Tesla's safety issues in many accidents have reduced consumers' trust in its products, Tesla has made huge improvements in technology. This is also an opportunity for Tesla to help them be more rational. Think deeply about their roles and responsibilities for their products and the company to become one of the most successful car manufacturers in the world.

We suggest that Tesla can improve its battery autonomous driving network and energy-saving technology, and can further reduce the selling price of its products to improve its market competitiveness.

All of Tesla's products rely on software technology, and as their software technology continues to mature, their profits and stock price have been growing at an incredible rate.

CONCLUSION

Dan Matthews(2019)Data Is Key To Autonomous Vehicle Technology, And Tesla Says It’s Winning[Photograph].Available at:https://www.smartdatacollective.com/data-key-autonomous-vehicle-technology-tesla-says-winning/

THANK YOU

Any qusetion?

2024

Cai Yuanbin, Analysis of structure and working principle of Tesla Model S drive system, Motorchina, 2024, no.02, pp.13.

Chen Jiahuan. Tesla = the Godzilla of cars? Shanghai Economy, 2014, no.05, pp.66-69.

Liu Yang, Liu Xiaomeng, Tesla won his lost to byd, Beijing business today, 2024, no.003.

Qu Jingyao, Zhao Qian, Research on Tesla Electric Platform and Autonomous Driving Technology, Proceedings of the 2022 China Society of Automotive Engineering Annual Meeting, China Society of Automotive Engineering, CHINA MACHINE PRESS, 2022, pp.114-118.

Qiu Yueye, Tesla's China Policy "Interview with Wu Bixuan, head of Tesla Motors China, 21st Century Business Review, 2014, no.04, pp.33-34.

Ram, J. and Corkindale, D., 2014. How “critical” are the critical success factors (CSFs)? Examining the role of CSFs for ERP. Business Process Management Journal.

Scuba Travel., 2022. Scuba Travel Award winning diving holidays. Scuba Travel. Available at: https://www.scubatravel.com/ [Accessed January 27, 2022].

The Science Times., 2020. Fishes in Australian aquariums show signs of depression with no human visitors to interact with amid covid-19 pandemic. Science Times. Available at: https://www.sciencetimes.com/articles/25709/20200516/fishes-australian-aquariums-show-signs-depression-human-visitors-interact-amid.html [Accessed January 27, 2022].

Wang Anqi, The Inspiration of Tesla, Shanghai State Capital, 2021, no.04, pp.33.

Zhao Guangming, Zhou Wenhui, Wang Yifan. Implications of autonomous vehicle fatalities on Vehicle safety management in China and the United States, Road Traffic Management, 2016, no. 11, pp.30-32.

Reference

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