Artificial Intelligence (AI) tools are software applications or platforms that are designed to help developers and users create, train, test, and deploy AI-based models and solutions. These tools leverage various AI techniques such as machine learning, deep learning, natural language processing, computer vision, and predictive analytics to enable organisations to automate and optimise business processes, improve decision-making, enhance customer experience, and gain competitive advantages.
AI tools can be broadly categorised into four categories:
Data Preparation Tools: These tools help in cleaning, p reprocessing, and transforming raw data into a structured and organised format that can be used for training AI models. Some examples of data preparation tools include Apache Spark, TensorFlow Data Validation, and DataRobot.
Model Training Tools: These tools allow users to build and train AI models using a variety of techniques such as supervised learning, unsupervised learning, reinforcement learning, and transfer learning. Popular model training tools include TensorFlow, PyTorch, Keras, and Microsoft Cognitive Toolkit.
Model Deployment Tools: Once an AI model is trained, it needs to be deployed in a production environment. Model deployment tools help in deploying and managing AI models at scale. Some examples of model deployment tools include Amazon SageMaker, Google Cloud ML Engine, and IBM Watson Machine Learning.
AI Development Platforms: These platforms provide end-to-end solutions for building and deploying AI-based applications. They offer a wide range of AI tools, frameworks, and libraries, along with features such as data storage, data processing, model training, and model deployment. Some popular AI development platforms include Microsoft Azure, Google Cloud AI Platform, and Amazon Web Services (AWS) AI.
Apart from these four categories, there are several other AI tools that are designed for specific use cases such as natural language processing, computer vision, predictive analytics, and speech recognition. Some of these tools include Google Cloud Vision API, IBM Watson Studio, and TensorFlow Object Detection API.
In conclusion, AI tools are essential for organisations looking to harness the power of AI to automate and optimise their business processes. These tools are constantly evolving and improving, making it easier for developers and users to build and deploy AI-based solutions.