AI is being used in different industries to perform various tasks. It helps businesses transform their business processes and increase productivity and efficiency.
Before deploying AI in any use case, it is essential to identify the type of work that needs to be done. This will help you choose the right AI tools for your use case.
Healthcare AI use cases are making significant improvements to diagnostic applications, reducing labor costs and improving outcomes. One example involves digitizing pathology to increase efficiency and make it more scalable.
Another AI use case in healthcare is telemedicine, which has been shown to reduce medical costs and improve patient outcomes. It also makes it easier for patients to get diagnosed.
Artificial intelligence can help reduce the time it takes to develop new drugs by several times. It also speeds up clinical trials.
The healthcare industry is increasingly using AI for improving patient experiences and outcomes, which will require a range of new skills and activities in education and professional development.
Among the many challenges will be regulation, policymaking and liability, and risk management. These issues must be clearly defined and addressed to encourage AI introduction and scale across the healthcare system.
Artificial intelligence can be a powerful tool for the energy industry. It can help improve efficiency, lower costs and introduce sustainable practices.
It also helps with customer engagement. Its use cases are vast and cover everything from regulatory compliance to transmission and distribution planning.
Smart forecasting uses machine learning algorithms to predict energy demand and price trends across different geographic areas accurately. It can also be used to identify potential growth opportunities and suggest appropriate renewable energy sources.
Another AI use case in the energy industry is resource management. It can help suppliers manage their renewable and traditional energy proportions to ensure that the grid stays on.
It can even decrease the amount of waste by predicting machinery usage and preventing equipment malfunctions. It can also make industrial plants more efficient by optimizing production and reducing the cost of raw materials.
Real estate companies are a great example of a business that can benefit from AI implementation. A lot of rules-based, data-heavy processes can be automated, allowing real estate agents to focus on other aspects of their business.
A common use case in the real estate industry is property valuation. This process is often prone to error and can be very time-consuming.
However, artificial intelligence tools can help to reduce the time required for this task by utilizing current property data to predict future market value.
One example of this is Veros, a leading property valuation company. They have developed an AI-powered solution called VeroPRECISION.
Another use case of AI in the real estate industry is smart contracts. This allows users to automate a variety of processes, reducing the time and money spent on paperwork and administrative work.
AI is impacting the entertainment industry in many ways. For example, companies are using machine learning to generate film trailers and advertising.
Video streaming services such as Netflix have also adopted AI technology to create more personalized content recommendations. These recommendations are based on user activity and preferences.
The global gaming platform Betway also uses AI to identify the best slots, poker and blackjack games for their account holders. This data-driven process has increased customer retention and revenue.
In addition, AI systems can analyze images and videos to detect sensitive content like child abuse, racial discrimination or sexual harassment. This can help censor and moderate media on their platforms.