The ByteDance Artificial Intelligence (Coursework Sample)

The ByteDance Artificial Intelligence Student’s Name Department, Institutional Affiliation Course Code: Course Title Professor’s Name Date The ByteDance Artificial Intelligence ByteDance Artificial Intelligence Strategy and Its Potential Impact on Organization’s Operational Excellence ByteDance’s strategy is at the core of its success. In its strategy, ByteDance focuses on leveraging the unlimited potential of technology. Specifically, the company merges considerable-scale machine learning and learning algorithms in processing large data volumes to offer personalized feeds and content to users through its apps. When embracing this technology, ByteDance uses artificial intelligence (AI) to create AI-powered platforms to understand and analyze texts, images, and videos through the natural language processing computer technology (Qumer & Purkayastha, 2020). Notably, the organization uses AI to collect consumer data, which is then fed to machine learning algorithms for refinement, ensuring that the apps provide the content that the viewers want. In addition, ByteDance does not focus on creating content and instead works on selecting user-generated content. Through machine learning, ByteDance successfully enhances users’ satisfaction by refining their content experience, which stimulates more engagement, further increasing the volume of data available for analysis. ByteDance’s success has helped it to become one of the most valuable startups globally, pointing to its strategy’s effectiveness. The strategy that ByteDance embraces in its operations has an unlimited potential to improve organizational and operational excellence. As discussed in class, technology-based approaches such as enterprise resource planning (ERP) systems are one of the methods of promoting this excellence. One area in which ByteDance’s strategy can foster organizational excellence is improving the efficiency of the provided services. According to the lecture 4 PowerPoint, ERP systems allow accommodating thousands of predefined organizational processes. Here, organizations can integrate AI, machine learning, and algorithms to redefine these processes and improve efficiency. In their article, Tariq et al. (2020) argue that artificial intelligence can allow organizations to align their services with the overall organizational vision while enhancing user engagement, proper access to the metrics, and supporting the technology needed to achieve operational excellence. By using AI, organizations can collect large volumes of data across micro-processes and analyze this data to provide real-time suggestions for improvement. More importantly, organizations can deploy artificial intelligence across various core functions to enhance their efficacy. Tariq et al. (2020) state that operational excellence includes employee engagement, process, performance and strategy management, improvement initiatives, and organizational planning. Integrating AI into these core areas can help identify patterns that allow organizations to select the right operational path for connecting these functions, facilitating automatic information processing and process automation. In the case of ByteDance, the organization has embraced this function in automated data collection, processing, and suggestion provision (Qumer & Purkayastha, 2020). By collecting and analyzing data in these areas, organizations can effectively identify trends that allows them to adequately respond to future changes. How ByteDance Optimizes AI in Its Business Operations ByteDance optimizes AI in its business operations in various ways. One of these is through integrating AI in all its functions, building innovations that enhance the content in its platforms. In this aspect, ByteDance’s AI lab focuses on research areas, such as machine learning, natural language processing, voice and audio, computer graphics, distributed systems and networking, and data mining (Qumer & Purkayastha, 2020). It allows enhancing the company’s capacity to provide the content that people desire through its apps. Offering personalized experience for users improves their engagement, increasing the volume of data available for analysis while ensuring customer satisfaction. Since artificial intelligence is one of the disruptive technologies, organizations that successfully leverage this advancement achieve notable success. One of the ways to do so is through an organization’s commitment to improving the efficiency of its technology. The best example of the organization’s emphasis on research is ByteDance’s AI lab, which employs data scientists to research various issues in the technology continuum, such as machine and deep learning (Qumer & Purkayastha, 2020). Through this lab, ByteDance has successfully leveraged AI-based initiatives across all its platforms, ensuring notable success. By using AI, organizations successfully collect and analyze data to provide personalized suggestions for consumers, improving the attractiveness of their products (Gołąb-Andrzejak, 2022). More importantly, ByteDance continues to leverage technological innovations to enhance customer engagement. According to Iwuanyanwu (2020), AI is beneficial as it facilitates the simulation of human intelligence in machines, allowing them to mimic human actions and espionage. This aspect has improved the company’s dominance, making it one of the most successful start-ups across the globe. One of the most vivid examples of how ByteDance leverages AI is by providing personalized information recommendations. Through its AI Lab, the company has created intelligent machines with large-scale algorithms capable of analyzing texts, images, and videos. By combining natural language processing and computer vision technology, ByteDance ensures that its users do not need to input their preferences. Instead, the AI technology that ByteDance uses collects data from user activities, such as swapping, liking, and comments on videos, to learn more about consumer preferences and to offer the content that aligns with the users’ interests and preferences based on previous sessions. The organization has been highly successful in this area as its algorithms provide accurate data-based predictions, which enhance customer experiences and satisfaction. Another example of how ByteDance optimizes AI is by streamlining operations across its apps. By using AI, ByteDance acquired other apps in the past and integrated them into its main app TikTok, enhancing the app’s success. For example, in 2019, the company bought Jukedeck, a UK-based AI-based music app capable of translating videos and automatically putting music into videos (Qumer & Purkayastha, 2020). In this process, ByteDance leverages the AI’s data collection and analysis capacities to inform the most effective path for improving efficiency and effectiveness in the processes interlinking the company’s apps, thus ensuring streamlined operations. Jukedeck is not the only app that ByteDance employs or cooperates with. In 2017, the company partnered with Cheater Mobile, a Chinese-based company, which resulted in ByteDance accessing Cheater Mobile’s global mobile user base and the latter accessing ByteDance’s personalized service delivery to users (Qumer & Purkayastha, 2020). While various factors have contributed to the success of these partnerships, machine learning is one of the primary success factors. According to Tariq et al. (2020), deep understanding allows machines to differentiate between products, allowing advanced technologies to extract data and perform tasks independently in an interconnected system. These partnerships have improved the success of TikTok, ensuring ByteDance’s sustainability. Challenges for ByteDance in Implementing the Technology Although it is usually beneficial, adopting disruptive technologies by organizations comes with various unforeseen challenges, and ByteDance faces numerous obstacles. One of the most notable challenges is data availability (Qumer & Purkayastha, 2020). The organization’s operational model is based on collecting and analyzing data to provide personalized experiences. However, the available data is of low quality and, in some cases, inconsistent. In many cases, the result is providing the users with inappropriate suggestions, which affects the organization’s capacity to improve personalized user experiences. Another emerging challenge is inadequate regulations. Although organizations have used technologies for a long time, data governance regulations are still insufficient. The lack of adequate rules is challenging as it predisposes organizations such as ByteDance to lawsuits, which may negatively affect them and lead to fines, resulting in preventable losses. In the case of ByteDance, the organization has faced lawsuits in different countries, such as the USA and China, for collecting data on users and distributing inappropriate content, respectively (Qumer & Purkayastha, 2020). Notably, collecting and storing data have been one the chief concerns arising with AI use. In many instances, organizations such as ByteDance collect data without their users’ consent. Collecting this data is illegal, yet, it is fundamental to the organization’s success. Without adequate data governance regulations, ByteDance remains susceptible to data violation lawsuits. Furthermore, these issues point to some more challenging aspects associated with the need to monitor and regulate the type and quality of app content. This aspect is, however, problematic with reference to ByteDance as the company does not create content. Nonetheless, its app was provisionally barred in India for distributing pornography and illegitimate content. This ban saw the organization deleting 6 million videos, introducing content moderation in the Indian market (Qumer & Purkayastha, 2020). Additionally, ByteDance has faced a tempor...