What is the problem you plan to solve with AI?
Wan Ping Yao
Scientific Advancement and Development
With the rapid rise of AI technology, it can be used as a tool to provide assistance and even accelerate scientific and technological development. First of all, AI utilizes the method of machine learning that is trained by analyzing data and identifying patterns in databases to help us solve various problems. (DataRobot, 2020) .With this in mind, we can create a special kind of database, otherwise known as an expert system that can replicate the knowledge and expertise of a human expert to help provide medical analysis and if advanced enough, can even provide medical diagnosis to patients. Not only that, we can also use AI to provide treatment methods for the patients according to their diagnosis. In addition, scientists can utilize AI to discover and develop various new methods and medications to cure, treat, and sometimes even prevent some of the deadlier diseases such as cancer.
The use of AI not only applies in the medical field, it can also be applied in other scientific endeavors as well. As well as machine learning and databases for AI models, generative AI is also on the rise as a part of AI technology. With this technology, we can boost various fields of technological advancements such as quantum technology, automation, and astrophysics. Firstly for quantum technology, generative AI allows for faster processing speed which is demanded by quantum computing technology. With faster processing speed, various other technologies that requires quick calculation and prediction can be fully developed and further improved such as weather forecasting and marketing, financial, and economic forecasting. (Reichental, 2023) Next is automation. By once again using the method of machine learning, organizations can use AI for predictive analytics automation to increase revenue, enhance efficiency, project sales, and expand their client base. Not only that, organizations can also use AI simply as a tool to complete repetitive tasks more efficiently while reducing labor cost, otherwise known as rules-based automation. (Kissflow, 2024) As for astrophysics, astrophysicists can utilize AI to analyze vast volumes of data from telescopes, look for anomalies, and make real-time predictions about cosmic occurrences. Astrophysicists will find it simpler to unearth obscure phenomena and produce ground-breaking findings as a result. In addition, astrophysicists can also use generative AI to visualize data and work together across disciplines to expand our knowledge of the cosmos, ultimately safeguarding the objectivity of science and opening doors for novel insights and a deeper comprehension of the universe. (EMB, 2023)
Benjamin
Data Analysis and Decision-Making
The amount of data produced has increased over time, with studies indicating that 90% of the world's data was created in recent years. Not to mention, it is predicted to expand by 150% by 2025 This implies that data is becoming more complex and significant. This is due to a variety of factors, including the Internet of Things, which allows physical items to connect to the Internet and share data with one another. As data becomes more vast, data analysts get overworked since it takes longer to examine data of that magnitude. (Duarte, 2023)
Fortunately, here is where artificial intelligence steps in. A well-trained AI model can detect trends, patterns, and irregularities in data. Moreover, It is more time efficient since it would ordinarily take data analysts several days to process it, but the AI model simply needs a few hours. Furthermore, by utilizing the insights generated by the data that the AI model analyzed, organizations would be able to make better-informed decisions. This would assist the company in lowering the danger of making wrong decisions, avoiding setbacks, and improving the company's reputation by demonstrating strong foresight and stability. This would boost customer loyalty which enables them to be more competitive. (Houbrechts, 2023)
Teh Yin Xin
Poverty and Hunger
Poverty and hunger have plagued humanity for centuries, but with the growth of technology, Artificial Intelligence (AI) has emerged in the fight against these age-old problems.
One of the most significant contributions of AI lies in transforming agriculture, the backbone of food security. By analyzing data on soil conditions, weather patterns, and crop health, AI systems can guide farmers in optimizing planting times, fertilizer use, and irrigation. This not only increases crop yields but also reduces waste, leading to greater food security, especially in vulnerable regions. (IoT Business News, 2022) AI drones can further aid farmers by scouting fields for pests and diseases, allowing for targeted interventions that minimize crop loss.
Beyond the farm, AI can revolutionize resource management and distribution. By analyzing data on food supply chains, AI can identify bottlenecks and ensure food reaches those who need it most. This can significantly reduce food waste, a major contributor to global hunger. In addition, AI can analyze climate patterns and predict extreme weather events like droughts and floods. This allows communities to prepare for potential food shortages and implement mitigation strategies, minimizing the impact of these disasters on food security. (Goh, 2023)
The fight against poverty goes hand-in-hand with the fight against hunger. AI can empower individuals living in poverty by providing access to information and financial services. AI chatbots can deliver educational resources and financial literacy training in remote areas. In the financial sector, AI can assess creditworthiness based on alternative data sources, enabling individuals without traditional credit histories to access microloans and build a path out of poverty. (VARTEQ Inc., 2023)
In conclusion, AI is potential to create a world where everyone has access to the resources they need to thrive. As we move forward, harnessing the power of AI effectively can turn the tide on hunger and poverty, building a future of greater prosperity for all.
Tan Shu Rou
Cybersecurity
With the rise of technology, cybercrime activity has
increased drastically. Attackers are constantly evolving making traditional methods
of cybersecurity less effective. Through research by Cybersecurity Ventures, it
is predicted that cybercrime will be inflicting financial damages of as much as
$9.5 trillion USD globally by 2024. (Steve, 2024). This alarming news emphasizes the need
for innovation in the current cybersecurity scene. This is where artificial
intelligence (AI) plays a huge role in slowing down the ever-rising cybercrime
activity.
AI is used in conjunction with traditional cybersecurity
tools. Compared to humans, AI can better analyze vast amounts of data to find
patterns. Thus, AI can accurately detect actual attacks which in turn creates
fewer false-positive results. In addition, AI can recognize, and flag suspicious
emails often used in phishing campaigns. AI is also able to learn through “past
experiences” to predict outcomes from suspicious activity to prevent criminal
initiatives. (Morgan Stanley, 2023). All in all, AI paired with traditional
cybersecurity methods can enhance data security to better protect the data and
financial benefits of organizations.
Wallace Lee Kar Shing
Language translation tools
Language barrier make it difficult
to relate to and comprehend people within organizations. These obstacles may
also lead to miscommunications and a decrease in output. It has become more
common for most people to work colleagues from another country. While there may
be an “Official language” for different culture to communicate together in the
workplace, there will still be some miscommunications from time to time. For
example, if company operates In English but is contracting with a Chinese
company. The company's productivity will suffer as a result, which may
eventually hinder development and competitiveness and lead to decreased
earnings and missed deadlines.
To address the challenges posed by
communication barriers in multicultural workplaces, implementing AI-driven
communication solutions can be highly effective. AI technologies, such as
natural language processing (NLP) and machine translation, offer innovative
ways to bridge language gaps and enhance communication across diverse teams.
For example, AI-powered translation tools can provide real-time language
translation services, enabling employees to communicate seamlessly regardless
of their native language. Additionally, AI chatbots equipped with multilingual
capabilities can serve as virtual assistants, offering language support and
facilitating smoother communication within organizations.
Reference
DataRobot. (2020, January 7). The evolution and techniques of machine learning. DataRobot AI Platform. https://www.datarobot.com/blog/how-machine-learning-works/#:~:text=How%20does%20machine%20learning%20work,and%20involves%20minimal%20human%20intervention
Duarte, F. (2023, December 13). Amount of data created daily (2024). Exploding Topics. https://explodingtopics.com/blog/data-generated-per-day
Emb, T. (2023, December 18). AI in Astrophysics: Unlocking Mysteries of the Universe. EMB Blogs. https://blog.emb.global/ai-in-astrophysics/#:~:text=AI%20helps%20scientists%20process%20large,phenomena%20and%20make%20groundbreaking%20discoveries
Goh, H. H. (2023, March 27). How AI can help end global hunger. https://www.linkedin.com/pulse/how-ai-can-help-end-global-hunger-hoe-han-goh/
Houbrechts, M. (2023, December 29). Using AI for Data Analysis: The Ultimate Guide (2024) | Luzmo. https://www.luzmo.com/blog/ai-data-analysis
IoT Business News. (2022, February 22). Precision Agriculture Is Helping to Solve Global Food Insecurity: Here’s How. https://iotbusinessnews.com/2021/08/27/46936-precision-agriculture-is-helping-to-solve-global-food-insecurity-heres-how/
Jacques (2023, June 7) What Are The Barriers To Communication? Aristo Sourcing. https://aristosourcing.com/what-are-the-barriers-to-communication/#:~:text=Addressing%20and%20overcoming%20these%20barriers,physical%20distractions%2C%20and%20emotional%20states
Jeff J Hunter (Nov 2, 2023) Language Barriers Divide Global Workforces https://www.entrepreneur.com/leadership/language-barriers-divide-global-workforces-but-not-for/452131#:~:text=AI%2Dpowered%20language%20tools%20are,members%20from%20diverse%20linguistic%20backgrounds
Kissflow. (2024, March 15). How AI workflow automation can Transform your business in 2023. https://kissflow.com/workflow/how-to-automate-workflows-with-ai/
Morgan Stanley. (2023, September 15). AI and Cybersecurity: A New Era. Morgan Stanley. https://www.morganstanley.com/articles/ai-cybersecurity-new-era
Reichental, J., PhD. (2023, November 20). Quantum artificial intelligence is closer than you think. Forbes. https://www.forbes.com/sites/jonathanreichental/2023/11/20/quantum-artificial-intelligence-is-closer-than-you-think/?sh=38e082444818
Steve, M. (2024, February 5). Top 10 Cybersecurity Predictions and Statistics for 2024. Cybercrime Magazine. https://cybersecurityventures.com/top-5-cybersecurity-facts-figures-predictions-and-statistics-for-2021-to-2025/
VARTEQ Inc. (2023, July 11). AI in Credit Scoring: Enhancing Loan Approvals and Financial Inclusion through Advanced Algorithms. https://www.linkedin.com/pulse/ai-credit-scoring-enhancing-loan-approvals-financial-inclusion/
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