BM565 Digital Business Technologies

Title Page: BM565 Digital Business Technologies

Student Number/Name, Word Count

Contents Page:

Section 1: Infographic poster..................................................................................................... 1

Section 2: Theory & Practice..................................................................................................... 1

Section 3: Interview with a CEO/ Manager or Director............................................................. 1

References:............................................................................................................................... 1

Section 1: Infographic poster

(Design a 500-word poster, including headings, in-text references, statistics, colour and images of your technology, industry or companies associated)

1. Choose a topic: AI, machine learning, 5G, big data, e-commerce, cryptocurrency, blockchain
2. Why you deem this topic to be of importance? What are pros of this topic area?
3. How has topic has developed from a previous innovation? When was it developed?
4. A detailed description of the technology and what it is used for?
5. What technological platforms and software are used? Examples and images
6. What type of business and organisation uses the technology? Sector or business examples
7. How is it used as a business tool and is this effective? (you may link this to a particular industry/ sector/ profession)

Section 2: Theory & Practice

Application of theories and knowledge into the chosen industry (Appx 1000 words)

1. Choice of BCG matrix, Ansoff matrix, waterfall model, balance score card, agility model
2. Choice of industry e.g. banking, retail, healthcare, fashion, technology, automotive
3. Example of 2 global organisations in this chosen industry – key players

Q1: how do the organisations in the chosen industry understand the implication of this technology and how have they altered what they do and how they do it? Show examples of success and best practice

Q2: The emergence of organisations built around digital technology, entering a sector and challenging old-style organisations that have failed to grasp the significance of that technology? Discuss examples of failed companies and what went wrong.

Section 3: Interview with a CEO/ Manager or Director

(Appx 500 words)

Find an interview with an organisations’ managers/CEO/Director on YouTube/Webinar where they have talked about the use of this technology topic, analyse the interview to confirm the findings from Section 2.

1. Provide a link to the YouTube interview with the CEO of any small or large organisation. Include the date of the interview/video.
2. Name of CEO and the organisation they are associated with
3. Provide a clear introduction, overview and conclusion to the key findings discussed

References:

(Make sure to include 10-15 references, using the Harvard referencing system)

Importnat Information to Do BM565 Digital Business Technologies Assignment

Artificial Intelligence (AI) is a groundbreaking technology that is reshaping the way businesses function across various sectors. Its importance lies in its ability to analyse large volumes of data quickly, automate routine tasks, and support informed decision-making. By incorporating AI into their operations, businesses can enhance efficiency, lower operational costs, and deliver innovative solutions that respond to market demands. The widespread adoption of AI highlights its value as a critical tool in maintaining competitiveness in today’s rapidly changing business landscape.

AI offers numerous benefits, which have driven its integration across industries. It enhances productivity by automating repetitive tasks, enabling employees to focus on strategic objectives. The technology also supports decision-making processes by providing insights derived from predictive models and data analytics. In addition, AI personalises customer interactions, as demonstrated in recommendation systems used by online retailers and streaming platforms. Its ability to reduce costs, particularly in fields like manufacturing and logistics, underscores its potential for driving operational excellence.

The development of AI has been a gradual but remarkable journey, building on decades of research and innovation. The concept originated with Alan Turing’s pioneering work in the 1950s, which laid the foundation for machine intelligence. Progress continued in the 1980s with the introduction of neural networks, which allowed machines to mimic human learning processes. In recent years, advancements in computational power and access to extensive datasets have propelled AI into mainstream use, with machine learning and deep learning now central to many industries.

AI is defined as the capability of machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. It underpins various applications, including voice recognition, image analysis, and autonomous vehicles. For example, virtual assistants like Alexa and Siri rely on AI to understand and respond to user commands, while healthcare providers use AI tools to detect and diagnose diseases more efficiently.

The deployment of AI is supported by a range of platforms and software tools that make it accessible to businesses. Popular platforms include Microsoft Azure AI, IBM Watson, and Google Cloud AI, which provide robust frameworks for creating and scaling AI-driven solutions. Software such as TensorFlow, PyTorch, and OpenAI’s GPT models enables developers to design algorithms and implement machine learning systems tailored to specific needs. These tools have made it easier for organisations to adopt AI and integrate it into their operations.

AI’s versatility makes it applicable to a wide array of industries, with numerous businesses benefitting from its capabilities. Technology companies like Google and Amazon utilise AI to enhance user experiences through personalised recommendations and improved service delivery. In healthcare, organisations such as IBM Watson Health employ AI for predictive analytics and diagnostic support. Retail giants like Walmart and Zara leverage AI for optimising inventory management, adjusting pricing strategies, and streamlining their supply chains. These examples illustrate how AI drives innovation and efficiency across different sectors.

As a tool for businesses, AI has delivered measurable results. It enables organisations to make data-informed decisions, improve customer engagement through automated support systems, and streamline processes such as logistics and supply chain management. For instance, Amazon’s use of AI in its logistics operations ensures accurate forecasting, faster delivery times, and cost savings. By harnessing AI’s potential, companies can achieve strategic objectives and remain competitive in a technology-driven market.