Mastering the Game: How to Use AI in Business Computing and Its Impact

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Introduction: An Overview of AI in Business Computing In the world of modern enterprise, a revolutionary player has taken centre stage, redefining the landscape and rules of the game. This game-changer is Artificial Intelligence (AI), a technological marvel that is transforming every aspect of business operations, including computing. In the realm of business computing, AI acts as a facilitator, enabler, and accelerator, propelling businesses towards new horizons of growth, efficiency, and competitiveness.

AI in business computing is not merely a technical jargon or a fleeting trend. It is a robust, dynamic, and transformative force that is reengineering the ways businesses operate, strategise, and innovate. The adoption of AI in business computing has become a strategic imperative for organisations aiming to stay relevant, competitive, and future-ready in the digital age.

The dynamism and potential of AI in business computing are colossal and multi-dimensional. From automating routine tasks to making complex decisions, from augmenting human capabilities to creating new business models, AI is revolutionising business computing in unprecedented ways. However, harnessing the potential of AI requires an understanding of its nature, capabilities, applications, impacts, and challenges.

Understanding Artificial Intelligence: What is AI?

Artificial Intelligence, often abbreviated as AI, is a domain of computer science that deals with the creation and development of machines capable of performing tasks requiring human intelligence. These tasks encompass learning, reasoning, problem-solving, perception, and language understanding.

AI is not a monolithic or uniform technology. It is an umbrella term encompassing several subfields and techniques, including machine learning, neural networks, deep learning, natural language processing, and robotics. Each of these subfields contributes to the comprehensive capabilities of AI, enabling it to mimic, augment, and sometimes surpass human intelligence.

AI may be divided into two main groups: There are two types of artificial intelligence (AI): narrow AI, designed to do a specific task, such as voice recognition, and broad AI, capable of performing any intellectual task that a human being is capable of. Currently, the majority of AI applications in business computing fall under the category of narrow AI. However, advancements are being made towards developing general AI, which can have profound implications for business computing.

The Role of AI in Business Computing

AI plays a multifaceted role in business computing, transforming the ways businesses process, analyse, and leverage data. One of the primary roles of AI in business computing is automation. AI-powered algorithms can automate routine and repetitive tasks, such as data entry, thereby saving time and reducing errors.

AI is also very important for improving commercial decision-making. AI can evaluate enormous volumes of data to identify patterns, trends, and insights that may guide strategic decisions by utilising machine learning and predictive analytics. AI can not only process data more efficiently than traditional computing systems but also make predictions and recommendations based on that data.

Another crucial role of AI in business computing is improving customer experiences. With techniques like natural language processing and machine learning, AI can understand customer behaviour, preferences, and needs, allowing businesses to deliver personalised experiences and services.

How to Use AI in Business: Practical Applications

Understanding how to use AI in business computing entails recognising its practical applications. These applications are diverse, spanning across various functions and sectors.

In the realm of customer service, AI can be used to power chatbots and virtual assistants that can handle customer queries and issues round-the-clock. In the domain of sales and marketing, AI can help in segmenting customers, predicting purchasing behaviour, and personalising marketing campaigns.

AI can also be leveraged in risk management and fraud detection. Machine learning algorithms can analyse transaction data to identify patterns and anomalies that may indicate fraudulent activities. In supply chain management, AI can enhance efficiency and transparency by tracking and predicting inventory levels and delivery times.

The Impact of AI on Business Operations

The impact of AI on business operations is transformative and far-reaching. By automating routine tasks, AI can enhance efficiency, productivity, and accuracy in business operations. By aiding decision-making, AI can empower businesses to make proactive, data-driven, and strategic decisions. By personalising customer experiences, AI can enhance customer satisfaction, loyalty, and retention.

AI can also foster innovation in businesses. By providing insights and predictions, AI can help businesses identify new opportunities, design new products, and enter new markets. Moreover, AI can facilitate the creation of new business models based on data-driven services and AI-powered solutions.

However, the impact of AI on business operations is not without challenges. Businesses need to address issues related to data privacy, ethical use of AI, and skill gaps to harness the benefits of AI effectively and responsibly.

Challenges in Using AI for Business Computing

Despite its immense potential, using AI for business computing comes with its set of challenges. These include data privacy concerns, ethical considerations, technical complexities, and skill gaps. Businesses need to address these challenges strategically and responsibly to harness the benefits of AI effectively and sustainably.

Data privacy is a critical concern in using AI, as AI systems often need access to vast amounts of data to function effectively. Businesses must ensure that they are collecting, storing, and using data in compliance with data protection regulations.

Ethical considerations are another critical challenge in using AI. AI systems can sometimes make decisions that are biased or discriminatory, raising ethical concerns. Businesses must ensure that their AI systems are transparent, fair, and accountable.

Technical complexities and skill gaps are other significant challenges in using AI. Implementing AI requires advanced technical skills and knowledge, which many businesses lack. Businesses must invest in training and upskilling their workforce to harness the potential of AI effectively.

The role of AI in future business computing is poised to become even more significant and transformative. Several trends are shaping the future of AI in business computing.

The convergence of AI with other technologies like IoT, blockchain, and 5G is one of the key trends. This convergence will lead to the creation of more integrated, intelligent, and innovative business computing solutions.

The rise of explainable AI is another crucial trend. As the demand for transparency and accountability in AI systems increases, explainable AI, which can provide clear and understandable explanations of its decisions, will become increasingly important.

The democratisation of AI is another significant trend. With the advent of AI-as-a-service platforms, businesses of all sizes and sectors will be able to access and use AI technologies, leading to a more inclusive and diverse AI landscape.

AI Tools and Resources for Business Computing

Several AI tools and resources are available for businesses to implement AI in their computing operations. These include AI platforms like IBM Watson, Google Cloud AI, and Microsoft Azure AI, which provide pre-built AI models and services.

Open-source libraries like TensorFlow and PyTorch provide resources for building and training AI models. Online courses and tutorials offered by platforms like Coursera and edX can help businesses learn about AI and develop the necessary skills.

Businesses can also seek the assistance of AI consulting firms, which can provide expert guidance and support in implementing AI.

Conclusion: The Future of AI in Business Computing

The future of AI in business computing is promising, potent, and transformative. As AI continues to evolve and mature, it will reshape business computing in unprecedented ways, creating new opportunities and challenges. Businesses that understand how to use AI effectively and responsibly will be able to stay competitive, innovative, and future-ready in the digital age.

Join the BSc (Hons) Business Computing and Information Systems course to learn the current state-of-the-art techniques of understanding software and technology and adapt quickly to changing circumstances. London School of Emerging Technology (LSET) teaches this course in a project-based environment that lets you explore real-world applications.


What is the significance of AI in Business Computing, and how will it impact industries in the coming years?

AI is becoming increasingly vital in Business Computing, offering innovative solutions and improved efficiencies. It’s expected to have a significant impact on various industries by automating tasks and enabling data-driven decision-making.

How does the BSc (Hons) Business Computing and Information Systems course at LSET prepare students for the future of AI in business?

LSET’s course equips students with the skills and knowledge to understand, implement, and adapt to AI technologies in business. It provides hands-on experience and real-world applications to prepare students for the evolving landscape.

Are there any specific prerequisites for enrolling in the BSc (Hons) Business Computing and Information Systems course at LSET?

Typically, there are entry requirements for this program, which may include academic qualifications or prior knowledge of computing and technology. Applicants should check LSET’s admission criteria for the most accurate information.

Can I pursue the BSc (Hons) Business Computing and Information Systems course at LSET through online learning, or is it available only in person?

LSET may offer both in-person and online options for the course, providing flexibility for students to choose the format that suits their needs. It’s advisable to check their website or contact them for the most up-to-date information on course delivery methods.

What sets LSET's approach to teaching Business Computing and Information Systems apart from other institutions?

LSET’s project-based learning environment allows students to gain practical experience in real-world applications of business computing and AI. This hands-on approach sets it apart and ensures that students are well-prepared for the challenges and opportunities presented by AI in business computing.

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