Business operations and the interaction of businesses with their customers have changed drastically thanks to artificial intelligence. AI helps automate routine processes and delivers personalized experience – therefore, it has become an integral part of many industries. However, understanding everything about AI implementation may be complicated – which is why there are AI case studies. Here we will examine the best case studies and highlight AI uses described in them.
AI Case Studies: Real-World AI Examples
Customer service is probably the most popular field for applying AI technologies – and among AI solutions used in customer services, chatbots are the most popular. They provide users with continuous service around-the-clock, answering all the customer’s queries and giving personalized suggestions.
Domino’s Pizza has launched a chatbot that lets the customers order products and track their delivery status. With this new service, customer complaints have significantly decreased and satisfaction rates have increased.
Another company that has managed to leverage chatbot technology is Walmart – they’ve developed a chatbot “Help” that helps with all customer-related queries and gives personalized recommendations. As a result, Walmart has observed a substantial decrease in customer complaints and increased customer loyalty.
Using AI for Predictive Maintenance
Predictive maintenance has been revolutionized by AI solutions that use machine learning technologies to predict equipment failure. Thus, companies can organize maintenance at the optimal time to prevent any problems. Various industries, from manufacturing to healthcare and from retail to finance, use predictive maintenance.
Schlumberger Oilfield Software, for example, has applied AI for predictive maintenance purposes and was able to minimize equipment downtime as well as enhance its performance.
AI in Healthcare: Disease Diagnosis Using Images
In addition to predictive maintenance, AI has become useful for healthcare providers who need to diagnose illnesses based on MRI scans. With machine learning, AI tools can examine medical images, like X-rays or MRIs, and detect cancer or heart disease.
IBM Watson Health has developed an AI algorithm that diagnoses diseases by analyzing medical images. Thanks to this innovation, patients can be diagnosed much faster.
How AI Has Changed Marketing: Personalization
AI has had a tremendous impact on marketing – with AI, it has become possible to customize all sorts of marketing activities in accordance with consumer demand. Customer segmentation becomes even more critical as it allows marketers to reach customers specifically with personalized messages and offers.
Target has created an AI solution for customer personalization that has helped this company sell more products while increasing its customer satisfaction.
Risk Assessment Made Possible with AI: Banking
AI has brought a lot of benefits to the banking industry, allowing financial experts to examine the risks and find opportunities for improving overall performance. Risk assessment is crucial for the finance industry, as this technology helps businesses detect and mitigate risks.
JPMorgan Chase has developed an AI-based risk assessment technology that analyses data on market trends and other important factors. Due to this solution, this company has been able to eliminate risks and boost efficiency.
Personalized Learning Thanks to AI: Education
Finally, AI has become very useful in education due to adaptive learning solutions powered by AI technologies. Adaptive learning is a great opportunity to allow each student to study in his/her own rhythm and using personalized techniques.
One of the best examples of adaptive learning powered by AI can be considered DreamBox Learning. Its adaptive learning solution makes it possible to personalize the educational process.
Conclusion
All these case studies show how powerful AI technology can be and what impact it can have. Studying these examples allows businesses to understand more about AI implementation.
If you would like to know more about AI and learn how to apply it in your projects, you may enroll in one of these courses:
Coursera: AI Specialization course
edX: AI for Business course
IBM Watson: AI for Business platform
