AI Trends and Uses

Name: AI Trends and Uses
Author: Chintan Thakkar

Learn the current trends, challenges, and ethical considerations in AI applications

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Course: On-Demand

Welcome to AI Trends and Uses. In these lessons, you'll learn about current usage and trends of artificial intelligence. After completing these lessons, you'll know about ethical challenges and potential usages for AI, as well as other challenges related to this field. Artificial intelligence is a very powerful tool. Big data, machine learning and security algorithms are powered by artificial intelligence. The maturity of the intelligence algorithm is growing day-by-day due to the availability of computing power and the public cloud. The public cloud provides us the platform for running the use cases directly on the cloud without worrying about having them on site. The on site infrastructure planning and creation can take a long time compared to the public cloud, which makes it possible to store terabytes of data at a lower cost. It also provides the computing power based on the requirements. You can run the artificial intelligence program and then terminate the infrastructure for cost saving purposes. Here's the high level process with artificial intelligence program development. 1. Identify the use case that's relevant for artificial intelligence. 2. Start the data gathering process. 3. Analyze the data quality. 4. Clean up data if required. 5. Model development. 6. Test models with various conditions. And 7. Deploy model onto the public cloud. Machine learning is a branch of artificial intelligence. Here are the steps that should be followed. 1. Data gathering. 2. Data analysis. 3. Reuse the existing model or develop the model. 4. Perform model testing. with training data sets. 5. Enable tuning. And 6. Start prediction. Machine learning models can adopt changes based on their surroundings. After it learns the system, it can easily make the decisions that humans can make. You can also validate the results that are generated by the machine learning algorithm and compare them with the actual results. It gives you the accuracy of the machine learning algorithm. Deep learning is another branch of artificial learning and it's being used in smart cars or events for automated content creation. You might see a future where learning content is being created using deep learning. Data analytics is often integrated with artificial intelligence programs to generate smart results. The analytics with intelligence can solve the following problems for us. Predicting weather patterns, predicting retail sales and taking store inventory. Image processing is a very popular use case that intelligence programs can solve. The image processing accuracy for the intelligence program is higher than the human brain. You'll notice that computer programs are adapting a similar understanding as the human brain which learns new things from peers or by browsing the Internet. You can design a program that can learn like humans by simply doing an Internet search. The computer program can adopt similar patterns and start learning new things. Amazon Web Services provides several services that are created using the intelligence program. Lex helps us create the Chatbox application using artificial intelligence and is the perfect candidate for user support. The system can easily handle 10% of customers questions and is designed to learn more. Transcribed Speech recognition is supported in several mobile applications and it requires artificial intelligence programming. If your team is still learning artificial intelligence programming, then it is a good idea to use the managed service provided by Amazon and start implementing the functionality for your application. Rekognition is a managed service for deep learning based on images. It also supports the learning based on video. Cloud vendors are coming up with several managed service models and you can use these services without the need for advanced coding. You can also change the configuration or customize it based on your requirements.

Beginner Provider : Chintan Thakkar 4 Lessons · 15m in Arabic, English

Course Description

These lessons on AI Trends and Uses will cover how artificial intelligence is currently being used in the world and its potential uses in the future from the storing of personal information and automated coding to diagnostics and resource utilization. You’ll learn how deep learning in artificial intelligence is being used in smart cars and even for automated content creation. This course will explain how different applications and web services use AI, like chatbots and transcription programs. These lessons focus on the challenges with AI such as a high demand for workers but a shortage of people who are skilled in AI. You’ll also discover the ethical considerations regarding AI and machine learning.

What You'll Learn

Understand current AI trends and how artificial intelligence is being used in the world today
Explore potential future uses of AI, from storing personal information and automated coding to diagnostics and resource utilization
Examine how deep learning powers applications such as smart cars and automated content creation
Identify how applications and web services use AI, including chatbots and transcription programs
Recognize the ethical challenges and considerations surrounding AI and machine learning
Learn how to scale cloud resources

Key Takeaways

Artificial intelligence is already applied across areas such as storing personal information, automated coding, diagnostics, and resource utilization.
Deep learning in AI supports uses including smart cars and automated content creation.
AI underpins many applications and web services, such as chatbots and transcription programs.
AI faces challenges including high demand for workers alongside a shortage of people skilled in AI.
Ethical considerations are an important part of working with AI and machine learning.

Frequently Asked Questions

What does this course cover?

It covers how artificial intelligence is currently used and its potential future uses, including storing personal information, automated coding, diagnostics, resource utilization, deep learning in smart cars, automated content creation, and AI-powered services like chatbots and transcription programs. It also addresses AI challenges and ethical considerations.

What will I learn about the challenges of AI?

The lessons focus on challenges such as a high demand for workers but a shortage of people who are skilled in AI, along with the ethical considerations regarding AI and machine learning.

What topics are included in the lessons?

The lessons cover Trends in AI, Potential uses of AI, AI challenges, and Ethical considerations for AI.

What skills does this course help develop?

It helps build skills in Applications of Artificial Intelligence, Artificial General Intelligence, Artificial Intelligence Systems, Artificial Intelligence, Artificial Intelligence Development, and Computational Intelligence.