World Problems that AI Solves
Artificial intelligence or AI helps to automate tasks, and there are several real-world problems that AI solves that affect humans. Today, there’s an immense level of concern about AI, whether it will replace humans in the workplace is still a question.
However, current studies indicate that AI can solve real-world problems and be of greater help. Are you eager to know how real problems can be solved with AI? We have got your back. This guide will help you understand problems that can be solved by AI.
9 Real World Problems Effectively Solved by the AI
World Problems Solved by AI
1. Healthcare:
“Good health is the first condition of happiness.” When you are happy, you can make most things work. There are no questions as to why healthcare is one of the most significant industries across the world.
So, how can AI solve healthcare problems? AI can refine huge data in record time supporting investigators to save significant data faster and emphasize their research instead of data refining and accumulation. Probing is a significant part of healthcare as it allows us to determine several health problems, identify treatment methods, research cures, and others. Using AI, doctors and researchers can determine the effectiveness and outcome of a specific drug treatment for an individual before suggesting the medicine.
2. Wildlife Conservation:
AI’s ability to examine ample information at once can help conservationists to learn about wildlife protection. For example, by tracking animals’ mobility, they can understand their patterns and movements. AI tracks wildlife habitats and foretells the extinction of endangered animal species. It helps to detect and prevent wildlife poaching. AI further provides information regarding the impact of climate change on wildlife and decreases its effect by developing an accurate plan. It helps in evaluating the population of species and observing transmission. AI significantly assists in preventing illegal animal trade on social media.
3. Learning & Training:
Think about chatting with a competent teaching assistant during your academic years. They are extremely helpful and useful, but you have never met the individual. This is what something similar happened to students at Georgia Tech when they identified that their teaching assistant was a robot.
People are significantly the same. The only difference is they hold information differently and at varying speeds. Using AI helps to personalize teaching mechanisms that help professors and students. For instance, professors can understand how to approach a specific child’s learning curve. Also, using AI for solving this real-world problem can help AI teachers to tutor the child without getting tired as they sound and look like individuals.
4. Transportation:
AI further helps in solving real-world problems like transportation. By using machine learning – powered route optimization software, AI helps to develop an optimized route to locations for several uses whilst reducing the costs of roads and the number of vehicles. AI uses the following step to do so:
- The customer chooses the departure place, the position of destination, and a particular time of the day.
- Now, AI logistics evaluates several attributes such as weather conditions, traffic reports, and patterns, and produces the finest possible route.
- Logistics often depends upon historical traffic information to analyze the best day of the month and a specific time of the day when the customer can enjoy the ride and go out on the road.
5. Hiring:
HR department is required to go through plethora of resumes. Now, imagine if HR personnel can refine the list of candidates they are looking for within seconds. That’s where AI comes to the rescue. AI helps the HR team to take up the monotonous task of searching resumes and provides you with the most relevant data. This offers HR employees spare time for interviewing more efficiently, collection needs insights from the data throughout the process.
Predictive analytics further helps to understand trends between those who got hired and applied. It helps HR personnel to arrange significant reports which signify any identifiable structure.
6. Renewable Energy Sector:
AI technologies provide insight by analyzing the data for the grid managers for effective control operations. It provides flexibility to the energy providers to intelligently manage the supply and demand chain. Generative AI helps with the amalgamation of microgrids and handling distributed energy. It plays a crucial role in resolving congestion and quality problems. Also, helps to comprehend energy consumption standards and find out the energy leakage and health devices. By using AI, you can also analyze the data linked with energy collection and offer details about energy consumption. This helps to standardize the occurring services and develop new service models.
7. Research and Development:
AI is advancing the research and development industry by having a significant impact on the following:
- Smart platforms
- Creation of individual learning paths
- Behavioral analysis
- Knowledge management
- Intelligent monitoring of infrastructures
- Technical and medical diagnostic systems
- Collection, and processing of massive amounts of data, and much more
Researchers are always looking for opportunities, and patterns to create models, uncover efficiencies, and more. Regardless of the industry, AI helps people to get insight into massive amounts of data to accelerate data depending on decision-making and improving informed frameworks. Furthermore, AI helps to overcome problems like human emissions as researchers need data on the atmospheric methane cycle.
8. Logistics and Operations:
Some of the benefits are:
- Back office: AI enables organizations to meet the full end-to-end automation of back-office processes. Hence, it enhances Robotic Process Automation (RPA) conditions or even finds other alternatives. Where RPA works through logic and commands, the AI continues to enhance the process by itself.
- Vehicle Telematics: AI helps to identify delivery misuse and mistakes in vehicles. It is a significant feature for reducing possible human attribute issues.
- Driver profiling and safety: This enables the drivers to reassess their actions and improve their driving abilities. This enhances both satisfaction and effectiveness from the perspective of driving.
- Demand prediction: AI assists in decreasing the stockout count which is one of the most frustrating problems for any logistics-linked organization and its customers.
- Route planning: It decreases the time invested in every route or delivery such that the performed deliveries increase correspondingly.
- Automated warehouses: Automation of warehouses through AI enables the development of a more accessible, and safer working surrounding that can be a hiring merit in the name of labor shortages.
- Delivery automation: It enables standardizing and choosing all the delivery categories like the distribution of items per vehicle. This leads to a reduced time of delivery as the fleet spends less time on every order.
9. Marketing and Sales:
Several sales and marketing problems can be solved by changing their AI customer experience in the following ways:
- Producing more occasions for your business: By interacting with the visitors, collecting their information such as name and phone number, or by helping the marketing department in real-time to qualify leads.
- As soon as the qualified leads are gathered in the CRM unit, the sales department will see this information. AI assists in converting information into meaningful insights by offering them with the finest customer fit, predictive scoring, and taking appropriate actions to convert leads.
Challenges
Using artificial intelligence produces several challenges, but the most significant problem is how we are required to keep the systems secure. Statistics depend on information, so any reform to that information will reform the outcomes and behavior.
Unquestionably, AI has so much to offer without destroying the human lifestyle, only otherwise we misuse it.