What will be the Problem you plan to solve with Artificial Intelligence (AI) ?

Introduction

With the progress and development of the times, artificial intelligence has gradually evolved from a concept first proposed by the Dartmouth Conference in 1956 to now fully integrate into human life, reaching a level where it is widely known to all. Artificial intelligence, also known as machine intelligence, involves imbuing machines and computers, which inherently lack signs of life, with the ability to think, behave, or speak like humans (B.J. Copeland, 2024). In recent years, due to the emergence of advanced technology such as OpenAI's ChatGPT, artificial intelligence has become a hot topic. One of the most popular concerns is that some people fear artificial intelligence will eventually replace humans in the era of technology. However, fundamentally, the prefix of artificial intelligence remains "artificial." The "intelligence" or worldview of artificial intelligence is endowed by humans and should be steered by humans. Artificial intelligence relies solely on big data to operate and can only serve as an assistant tool to humans. The rational use of artificial intelligence can promote the development of various industries. This is because the emergence of artificial intelligence can reduce human resources and costs, thereby promoting the rise or reform of many new industries (Ashley Stahl,2022). The following will present the role of artificial intelligence and its involvement in various fields.

 

AI in Cybersecurity

Artificial intelligence (AI) also plays a crucial role in cybersecurity, as it can guard against evolving threats and vulnerabilities. AI has threat intelligence that can evaluate massive volumes of threat intelligence data from various sources in order to detect emerging threats and patterns. AI-powered systems can improve an organization's defences by continuously monitoring the danger landscape. Furthermore, AI-powered systems monitor user and network activity to detect deviations from typical trends. Furthermore, Artificial intelligence (AI) can detect insider threats, hacked accounts, and other unexpected activity that traditional rule-based systems may miss (AI in cyber security: Pros and Cons, and What It Means for Your Business 2023). Besides that, advanced malware detection systems are developed using AI approaches such as machine learning and deep learning. For example, an AI-powered cross-platform malware detection model is used to detect undiscovered or zero-day malware. These systems can detect and categorise malware based on factors such as code structure, behaviour, and communication patterns (Santosh K. Sammarwar et al., 2023). To summarise, AI technologies are critical instruments in cybersecurity which allow the protection of our computers from threats.

 

AI in Language Translation & Communication

Language barrier is an ever-present problem between people who are unable to speak a common language. Overcoming language barriers with AI translation machine learning (ML) by involving Natural Language Processing (NLP) helps facilitate communication between people who speak different languages. In communication, inclusive language, which is words and phrases that avoid biases, slang and discriminatory expression is crucial to ensure smooth communication.  AI ML can translate words by detecting the complexities and nuances of human conversations, and deliver real-time translation results by increasing the use of inclusive language (Mosaicx, 2023).

 

In addition, AI ML also provides speech recognition function that can convert speech into text. Unlike old-school AI translation, ML combined with NLP can work well with human conversations that speak quickly, have different intonations, different accent and slang, or incorrect grammar. This is due to NLP also capable of word sense disambiguation, which can analyze multiple-meaning words and determine the meaning of the word that makes sense in a sentence. In this way, the AI ML can produce more accurate and easier-to-understand translation results (IBM, n.d.).

 

AI in Information Retrieval and Analysis

With over two-thirds of the world’s population online, the digital landscape widely expanding including social media, video games, forums, and video sharing (Digital Around the World — DataReportal – Global Digital Insights, n.d.). All these applications generated 64 zettabytes of data, over one hundred trillion times megabytes. According to the estimation of Cisco, there will be a total of 175 zettabytes of data by 2025 (Health IT, 2023).

 

Have you ever thought about how we going to reach over 1.9 million web pages to find the data that we need? To effectively research the entire internet data with minimal time and effort, artificial intelligence (AI) is implemented in the data information retrieval and analytics area. A simple example like Apple Siri, a virtual assistant powered by artificial intelligence with one of the most excellent features —— answering human questions by analyzing big data on the internet (Mixon & Steele, 2023).

 

AI extracts, organizes, and presents information in a concise and actionable manner, enabling users to access insights effectively. AI's computing prowess is beyond human limitations, allowing it to navigate the complexities of big data effortlessly. This is an area to be focused on in the future as a key to unlock the digital universe.

 

AI in Predictive Analysis

Predictive analytics is a process to predict what will happen next and forecast future outcomes using data analytics. As one of the branches of data science, the predictive process and augmented analytics where larger and broader pool of data are needed to provide more accurate predictive insights. The whole process included data analysis, machine learning, artificial intelligence (AI), and statistics to find out the pattern to predict its future behavior (Google Cloud, n.d.).

 

In many fields, artificial intelligence has become so prevalent that most organizations regularly use it to enhance results and improve the overall effectiveness of an organization. One of the biggest fields that take advantage of artificial intelligence is healthcare which helps healthcare organizations, hospitals, and doctors to access, analyze, and process the data of patients to provide a more accurate diagnosis and personalized treatment. Not only that, it can also help to identify at-risk patients by preventing human errors and fraud detection using artificial intelligence in predictive analytics (Reveal, 2024)

 

At the same time, artificial intelligence predictive analysis not only brings benefits to the healthcare field, it also brings benefits to other fields such as finance, marketing, sales, etc. In conclusion, artificial intelligence in predictive analytics is to improve decision-making prediction, the advance in artificial intelligence predictive analytics will make the technology more widely available in the future.

 

Summary

In conclusion, artificial intelligence (AI) has a huge impact on a variety of industries by providing innovative solutions to solve problems and increasing production. For example, in cybersecurity, AI functions as a digital shield, protecting us from constantly evolving vulnerabilities. It also functions as a translator, allowing us to understand and converse in multiple languages. In addition, it serves as a powerful search engine, assisting us in obtaining important data in the vast digital ocean. Furthermore, with predictive analytics, AI can help us make better judgments and predict future trends.

As we step into the era of artificial intelligence, it is very important that our ethics and technology must converge. We must employ AI properly and ethically to avoid malicious use. In today's increasingly digital environment, artificial intelligence is becoming a crucial tool to make jobs become more easy, increase productivity, and discover new insights (Roser, 2023). However, it's important to note that AI still needs human guidance, instruction, and direction to function correctly. 

References:

Stahl, A. (2024, February 20). The rise of Artificial Intelligence: Will robots actually replace people?. Forbes. https://www.forbes.com/sites/ashleystahl/2022/05/03/the-rise-of-artificial-intelligence-will-robots-actually-replace-people/?sh=114aa7763299  

 

Merriam-Webster. (n.d.). Artificial Intelligence Definition & meaning. Merriam-Webster. https://www.merriam-webster.com/dictionary/artificial%20intelligence.  

 

Encyclopædia Britannica, inc. (2024, March 15). Artificial Intelligence. Encyclopædia Britannica. https://www.britannica.com/technology/artificial-intelligence  

 

Google. (n.d.). What is predictive analytics and how does it work?  |  google cloud. Google. https://cloud.google.com/learn/what-is-predictive-analytics  

 

Ai predictive analytics: The key to unlocking business insights. Mailchimp. (n.d.). https://mailchimp.com/resources/ai-predictive-analytics/  

 

Petrova, B., & Ciniello, C. (2024, February 15). Predictive analytics in healthcare: Reveal. Reveal Embedded Analytics. https://www.revealbi.io/blog/predictive-analytics-in-healthcare  

 

Digital around the world - datareportal – global digital insights. DataReportal. (n.d.). https://datareportal.com/global-digital-overview#:~:text=A%20total%20of%205.35%20billion,12%20months%20to%20January%202024.  

 

Health IT. (2023, June 7). How big is the internet, and how do we measure it? https://healthit.com.au/how-big-is-the-internet-and-how-do-we-measure-it/  

 

Mixon, E., & Steele, C. (2023, February 3). What is Siri?: Definition from TechTarget. Mobile Computing. https://www.techtarget.com/searchmobilecomputing/definition/Siri  

 

Mosaicx. (2023, February 16). How to overcome language barriers with ai. https://www.mosaicx.com/blog/how-to-overcome-language-barriers-with-ai  

 

What is natural language processing?. IBM. (n.d.). https://www.ibm.com/topics/natural-language-processing  

 

AI in cyber security: Pros and cons, and what it means for your business. AI in Cyber Security: Pros and Cons | Terranova Security. (2023). https://www.terranovasecurity.com/blog/ai-in-cyber-security#:~:text=AI%2Dpowered%20solutions%20can%20sift,your%20cyber%20security%20needs%20easier. 

 

Khan, A. A., Alzubi, J. A., Smmarwar, S. K., Verma, V., Gao, X., Sudhakar, Qureshi, A., Kumar, S., Islam, M. Z., Imtiaz, S. I., Naeem, H., & Lu, N. (2023, April 28). AI-empowered malware detection system for industrial internet of things. Computers and Electrical Engineering.  https://www.sciencedirect.com/science/article/pii/S0045790623001556#:~:text=The%20AI%2Dbased%20Machine%20learning,be%20ineffective%20against%20malware%20attacks. 

 

Roser, M. (2023, December 28). Artificial Intelligence is transforming our world - it is on all of us to make sure that it goes well. Our World in Data. https://ourworldindata.org/ai-impact  

WORKLOAD TABLE 

Name	Topic
ERIN CHUNG SHING (TP070387)	Cybersecurity
FOO JING SZE (TP070845)	Predictive Analytics
CHUAH XIN YI (TP070340)	Conclusion
CHONG PEY SHAN (TP070414)	Information Retrieval & Analysis
GOO MAY SHYN (TP070055)	Language Translation & Communication
LEE WAN CHIEN (TP070220)	Introduction