Which problems will you solve with AI?

 

Which problems will you solve with AI?

Beniamin: Telecommunication

    Telecommunication is an indispensable aspect of modern life, facilitating seamless connectivity and enabling communication across vast distances. In the future, AI is poised to revolutionize telecommunications in numerous ways, addressing various challenges and enhancing the overall efficiency and reliability of communication networks. AI-powered predictive analytics will be crucial in spotting and fixing network problems before they cause any trouble. By analyzing lots of data quickly, AI can predict where issues might pop up, helping telecom companies fix them early and keep their services running smoothly. Also, AI can make sure that internet resources are used efficiently by adjusting them as needed. This means that during busy times, like when a lot of people are online, the internet will still work well because AI will manage it smartly. Moreover, AI can take care of many tasks in managing the network, saving time and reducing mistakes. Things like setting up the network, finding and fixing problems, and doing routine checks can all be done automatically, so people can focus on more important things. Overall, AI will revolutionize telecommunications by enhancing network reliability, optimizing resource utilization, automating management processes, and improving customer service, ultimately driving innovation and efficiency in the industry.

Yousef: Health

 AI is slowly transforming the healthcare workforce into a more digital world that will help enhance healthcare services one of the improvements it will offer is a prediction of heart attack risks up to 10 years prior to it happening According to the UK publication The Guardian, AI is more thorough in its analysis, leading to more accurate diagnosis and treatment strategies, while CT scans frequently struggle to identify similar problems also one of the tools that are created to improve weaknesses of the current health service is With MIT's AI tool, lung cancer risk can be predicted up to six years ahead of time. In 2020, lung cancer claimed the lives of little under 1.8 million people worldwide, making it the primary cause of cancer-related deaths. The AI model "Sybil" can forecast the likelihood of lung cancer developing 1-6 years following screening with just one low-dose chest scan. In general multiple other healthcare services will be improved using AI such as drug discovery by using deep learning models also making the management of documents much easier AI’s ability to handle vast amounts of data makes it easy and simple in the long run AI will be a lead in healthcare services and it will hopefully assist in saving many people lives.

 

Phuripat: Logistics

Artificial Intelligence (AI) can provide answers to the major challenges in the logistics field and help to disrupt it completely. The other major issue that AI-based practical solutions may offer is to manage the supply chain optimally. Companies operating in this capacity can employ AI algorithms to detect demand more precisely, control inventory levels and cut wastage. In doing so, a resource-efficient allocation is encouraged and will hasten the realization of budgetary savings.

Artificial intelligence not only can assist in the delivery issue but also can enhance it. AI- enabled route optimization helps to reduce delivery time and will be the cheaper method. It will be able to work while trying to evaluate traffic jams, weather records, and other parameters in real-time, and then, finally, come up with the fastest and most fuel-efficient routes. This in turn has the comfort of the customers and to an extent facilitates the sustainability among others by diminishing greenhouse emissions.

AI in logistics is unique in itself because it offers solutions such as the optimization of supply chain operations to the enhancement of deliveries and such as improved tracking, and ultimately, better warehouse management. With the progressive growth of AI, we can assume that it will act as the catalysis, bringing more smart solutions into logistics industry and undergoing a transformation process.

Mujtaba: Education

The incapacity of traditional educational environments to cater to each student's individual learning needs and preferences is a major obstacle. Teachers must accommodate a wide variety of students in a typical classroom, each with their own learning style, set of strengths and limitations, and unique needs. Some students may feel left behind or underchallenged because of this variance, which can cause disengagement and poor performance. Furthermore, due to time limits and the limitations of traditional teaching methods, educators may find it difficult to provide each pupil individualized attention.

AI can analyze data and create adaptive learning algorithms, creating customized learning paths for students based on academic achievement, learning preferences, and interests. These paths may include interactive exercises, educational materials, and targeted interventions, with AI-driven chatbots and virtual tutors providing immediate support.

AI technology can enhance educational institutions by providing personalized assistance to each student, promoting deeper learning, skill development, and increased motivation. This approach can reduce achievement inequalities and cater to special needs students. (Miller, T., & Lester, J. (2017). The Benefits and Risks of Artificial Intelligence in Education. In M. Khosrow-Pour (Ed.), Encyclopedia of Information Science and Technology (4th ed., pp. 121-130). IGI Global.)

 

Rawaa: Business

With its self-learning ability AI gradually functions as a matured business ecosystem that delivers more creativity and accomplish more tasks with fewer resources.

- Operational Efficiency: AI systems are having a significant impact on the business operations by accomplishing simple jobs, optimizing procedures and finally increasing the total work performance.

- Strategic Insights: In its role of more sophisticated analysis ai affords business the analytical sophistication that proves their ability of forecasting market trends and making estimated decisions with information they got from data.

- Marketing Precision: Employing the AI leads marketing to be able to imagine the personality of consumers and it behaves in a progressive way that allows achieving more accurate campaigns and increased customer engagement.

- Security and Risk Mitigation: AI's complex algorithms excels in detecting any threat like that may happen to the company and by that, (businesses) have become more aware now on the kind of threats that may affect them.

- Financial Prognostication: AI utilization automates the process of budgeting and helps businesses to allocate of financial resources, and to prepare themselves for future financial balances.

- Creative Content Generation: AI contributes crafting various forms of content, making the brand cohesive, and communication lively.

In a nutshell, AI is not only a productivity tool but also the engine of the long-awaited business productivity revolution, which makes use of the new growth and efficiency opportunities and which improves the position of the business company.

Zhassulan: Disasters

AI is transforming many sectors, including disaster management. It enhances efficiency and accuracy in crucial situations by using large data sets and advanced algorithms to predict, respond, and adapt to disasters.
First is predictive Analytics. AI forecasts natural disasters using real-time data, giving authorities preparation time.
Second is damage assistance AI assesses disaster damage quickly and accurately using images from drones, satellites, and cameras.
Third is Relief Operations. AI optimizes logistics during disaster relief by analyzing road conditions and population needs.
Next is Rescue Operations. AI guides drones, robots, and unmanned vehicles for search and rescue operations.
Next is communication. AI monitors social media for eyewitness reports and tracks misinformation.
Last one is reconstruction. AI aids recovery by understanding future risks and planning resilient infrastructure.
In conclusion, as we continue to witness the evolution and advancements of AI technology, its potential to revolutionize disaster response efforts becomes increasingly evident. From predicting disasters before they strike to assessing damages, optimizing relief operations, aiding search and rescue missions, and supporting recovery and reconstruction, AI's role is instrumental. As we incorporate more AI technologies into disaster management strategies, we can expect to see a marked reduction in lives lost and damages incurred from disasters. The future of disaster response and management is increasingly tied to AI, promising to save more lives, reduce damage, and accelerate recovery.