5 AI Use Cases More Promising Than ChatGPT

When most people think about artificial intelligence (AI), they often picture robots with human-like intelligence. While this is certainly a compelling vision, the reality is that many of the most exciting AI use cases don't involve humanoid machines at all. In fact, some of the most promising applications of AI are already in use today, and they have nothing to do with ChatGPT.

Despite the hype around ChatGPT, there are far more innovative and impactful AI applications being developed. Here are five that are worth paying attention to:

1. Machine Learning For Predictive Maintenance

One of the most promising applications of AI is in the field of predictive maintenance. Using machine learning algorithms, companies can analyze vast amounts of real-time data from IoT-connected devices and predict when they're likely to fail. By fixing equipment before it breaks down, companies can save millions of dollars in repair costs and lost productivity.

For example, Airbus uses machine learning to predict when components on their aircraft are likely to fail. By doing so, they can proactively replace parts before they cause problems, reducing downtime and improving overall reliability.

By 2024, the global market for predictive maintenance is projected to be worth $10.7 billion, making it one of the most promising AI use cases to watch in the coming years.

2. Deep Learning for Computer Vision

Another area where AI is making a significant impact is in computer vision. Deep learning algorithms are enabling machines to identify and recognize images, videos, and objects with a level of accuracy that was previously impossible. This has applications in everything from autonomous vehicles to robotics.

The healthcare industry is one sector that's adopting this technology. For example, deep learning algorithms are being used to analyze medical images, detecting signs of cancer, or other diseases with greater accuracy than traditional methods. This could lead to earlier detection and better treatment outcomes for patients.

In 2020, the computer vision market was worth $11.8 billion, and it's projected to grow to over $26 billion by 2025.

3. Robotics for Warehouse Automation

Robotics is a field that's always been associated with AI, but recent breakthroughs are making it more pervasive than ever before. In particular, robotics is becoming increasingly important in the world of warehouse automation.

Using AI-enabled robots, companies can optimize warehouse operations, improving everything from inventory management to order fulfillment. This has the potential to revolutionize the logistics industry, reducing costs and improving speed and accuracy.

For example, Amazon now uses more than 200,000 robots in its warehouses worldwide, reducing the time taken to fulfill orders and making the process more efficient.

The global warehouse robotics market is projected to be worth $9.15 billion by 2025, making it a significant growth opportunity for companies in this space.

4. Natural Language Processing For Customer Service

Although ChatGPT has been stealing the spotlight for AI in customer service, there are many other applications that are being developed as well. Natural Language Processing (NLP) is one such area.

NLP enables machines to understand and interpret human language, allowing them to engage in more nuanced and sophisticated conversations. This has enormous potential in the world of customer service, where companies can use AI to respond to customer queries, complaints, and questions at scale.

For example, Bank of America has developed an AI-powered chatbot called Erica that helps its customers with everything from balance inquiries to financial advice. By using NLP, Erica can understand and respond to customers in a way that feels natural and conversational.

According to Grand View Research, the market for NLP is projected to be worth $35.1 billion by 2025, making it one of the most promising AI use cases for the future.

5. AI For Drug Discovery

The field of drug discovery is one that relies heavily on trial-and-error experimentation. However, AI has the potential to transform this process, enabling researchers to identify potential drug candidates much more quickly and accurately than before.

AI can analyze vast amounts of biological data to identify patterns and relationships that are difficult or impossible for humans to detect. This has the potential to accelerate drug discovery, resulting in new treatments for diseases that are currently untreatable.

For example, Atomwise is a startup that uses AI to analyze libraries of compounds and identify those that are most likely to be effective against diseases like Ebola, multiple sclerosis, and more. By doing so, they're able to reduce the time and cost of drug discovery significantly.

The global market for AI in drug discovery is projected to be worth $3.5 billion by 2025, making it an exciting growth opportunity for companies working in this field.

Conclusion

While ChatGPT, and other humanoid robots, may be the most visible form of AI, there are many more exciting and promising applications of this technology. From predictive maintenance to drug discovery, AI is transforming industries and making our world a better place.

Predictive maintenance using machine learning
Deep learning for computer vision in healthcare and other applications
Robotics for warehouse automation and logistics
Natural language processing for customer service and engagement
AI for drug discovery and research

If you're interested in exploring these AI use cases further, be sure to check out the companies and resources listed below. And if you're working in any of these fields, share your experiences and insights using the hashtags and threads listed here.

References

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#WarehouseAutomation
#PredictiveMaintenance
#DrugDiscovery

Article Category

AI & Machine Learning, Robotics, Healthcare, Customer Service, Logistics