Top 15 Artificial-Intelligence-platforms

1. Microsoft Azure Machine Learning
2. Google Cloud Prediction API
3. TensorFlow
4. Infosys Nia
5. Wipro HOLMES
6. API.AI
7. Premonition
8. Rainbird
9. Ayasdi
10. MindMeld
11. Wit
12. Vital A.I
13. KAI
14. Receptiviti
15. Meya

What are Artificial Intelligence Platforms?

Artificial Intelligence Platforms involves the use of machines to perform the tasks that are performed by human beings. The platforms simulate the cognitive function that human minds perform such as problem-solving, learning, reasoning, social intelligence as well as general intelligence. AI application also involves the use of expert systems such as speech recognition, and machine vision. AI platform can be classified as either weak AI/ narrow AI which is generally meant for a particular task or strong AI also known as artificial general intelligence which can find solutions for unfamiliar tasks.

Machine learning: Machine learning is considered a subset of artificial intelligence. For it to work, you require good and reliable data. All you need is to establish what you want to do, identify the available data and let the machine take care of your problems. Machine learning utilises the above processes to learn complex decision systems, find patterns and anomalies in data as well as raise alerts if need be.

Automation: This is a must-have feature in your AI if you are to reap full benefits. By automating the manual processes, one can save time and resources as you can engage your staff in other operations that requires a human touch. The AI platform you settle for should be an easy to use tool that doesn’t need additional skills and can address different automation processes with ease. With the right system, you can automate processes such as invoicing, marketing, job application and schedule with ease.

Natural language processing and natural language understanding: These two features are critical to full optimization of your AI solution. This is because you need to have a system that can support full speech recognition and interaction. Remember your customers will be calling and leaving messages. The system thus should be able to convert the audio signals into texts and use the available data to deliver benefits such as interpreting multiple languages and dialects.

Cloud infrastructure: This feature provides the scalability to grow and access to resources to deploy even the complex AI and machine learning solutions. You need to combine both AI and cloud for you to exploit their benefits fully. For you to ensure the resources are available 100 percent throughout, then it is vital to leverage platform as a service PaaS) and software as a service (SaaS) when launching AI solutions.

Provided by: AI platform is defined as some sort of hardware architecture or software framework (including application frameworks), that allows software to run.