Assessment 2: Innovation Analysis Briefing Paper

Essay Instructions:

Due date: June 14 at 4pm Sydney time words: 600 !!!! ( important ! 600 words) ***Please Just refer to the requirement and rubric of Assessment 2 in MGMT5803 Assessment Handbook*** ***Select two business innovations from the AFR 2022 and AFR 2023 Top Innovators List:*** 1, https://www(dot)afr(dot)com/work-and-careers/management/afr-boss-innovators-experiment-and-go-boldly-where-none-has-gone-20221006-p5bnnc 2, https://www(dot)afr(dot)com/technology/how-the-judges-assessed-700-nominees-20230911-p5e3sf For each business innovation detail, the following (300-word limit per innovation): • Innovation: Name the innovation • Type of Innovation: Identify the type(s) of innovation used in terms of the 10 Types of Innovation Framework. (15-word limit) • Impact of Emerging Technologies: Emerging technologies like generative AI (Artificial Intelligence) technologies such as ChatGPT[2] have the potential to have a significant impact on business innovation over the next three years. What impact might it have on innovation? • Risks and Challenges: Identify the specific risks and challenges? • Customer Relevance: What could the company do to increase its innovation’s relevance in the market using innovation-enabling technologies like generative AI? Submission instructions Identify the number of words used for each innovation. Present each innovation on a separate page. Note: If you use ChatGPT please provide your entire interaction with ChatGPT and show how you have added value to its responses. Full assistance with attribution: You can use generative AI software in this assessment to the extent specified in the assessment instructions. Any output of generative software within your assessment must be attributed with full referencing. If the outputs of generative AI such as ChatGPT form part of your submission and is not appropriately attributed, it will be regarded as serious academic misconduct and subject to the standard penalties, which may include 00FL, suspension and exclusion. * To cite: OpenAI (Year Accessed). ChatGPT. OpenAI. https://openai(dot)com/models/chatgpt/ * Please note that the outputs from these tools are not always accurate, appropriate, nor properly referenced. You should ensure that you have moderated and critically evaluated the outputs from generative AI tools such as ChatGPT before submission.

Essay Sample Content Preview:

ASSESSMENT 2: INNOVATION ANALYSIS BRIEFING PAPER By (Name) The Name of the Class (Course) Professor (Tutor) University City, State Date Assessment 2: Innovation Analysis Briefing Paper Company 1: Advanced Navigation – Hydrus Innovation: Hydrus Type of Innovation: Product system Impact of Emerging Technologies Emerging technologies, such as machine learning, can significantly improve Hydrus by enhancing underwater navigation and data analysis. Reports show that machine learning can detect rsiks, predict the future, improve organizational resilience, and prevent greenishing. Such tehcnologies has the ability to automate everyday tasks, offer valuable understanding from data, and even write code (Wessling, 2024). In software, machine learning can streamline the development process, automate testing, and improve the quality of the software. Regarding Hydrus, machine learning can help detect and interpret larger volumes of information collected, offering actionable viewpoints and real-time choices (Imber, 2022). It can simulate different underwater cases, helping establish more effective navigation algorithms and predictive preservation models. Risk and Challenges The major risks and challenges related to Hydrus include concerns over data privacy and security. Such concerns stem from the technology's need for larger amounts of information, its potential for misuse, and its evolving nature (Gill, 2024). While using Hydrus machine learning, challenges related to ensuring reliability and accuracy might arise, especially in predictions, resulting in costly operations mishaps (Wessling, 2024). Moreover, the complexity of underwater environments needs robust and resilient models to address unpredictable conditions. Customer Relevance To improve the importance of Hydrus in the market, Advanced Navigation can leverage machine learning for an upgraded user interface and experience. Dashboards with such technologies can offer instinctive imaginings and actionable understandings from collected data, making it easier for customers to make informed decisions. Predictive analytics can ...

Updated on September 9, 2024

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