Here are ten AI tools commonly used in IT services:

1. IBM Watson: IBM Watson is a comprehensive AI platform that offers a wide range of services, including natural language processing, machine learning, and computer vision. It enables IT services to build intelligent applications, automate workflows, and extract insights from large datasets.

Visit website for more info - https://www.ibm.com/in-en/watson

2. Google Cloud AI: Google Cloud AI provides a suite of AI tools and APIs, such as Cloud AutoML, Dialogflow, and Vision AI. These tools empower IT services to develop AI-powered applications, implement speech and image recognition capabilities, and create conversational agents.

Visit website for more info - https://cloud.google.com/solutions/ai/

3. Microsoft Azure Cognitive Services: Azure Cognitive Services offers pre-built AI models and APIs for various applications, including text analytics, speech recognition, and computer vision. IT services can leverage these services to add AI capabilities to their applications and enhance user experiences.

Visit website for more info - https://azure.microsoft.com/en-in/products/cognitive-services

4. Amazon AWS AI Services: Amazon Web Services (AWS) provides a range of AI services, including Amazon Rekognition for image and video analysis, Amazon Polly for text-to-speech conversion, and Amazon Comprehend for natural language processing. These services enable IT services to incorporate AI functionalities into their solutions.

Visit website for more info - https://aws.amazon.com/machine-learning/ai-services/

5. OpenAI: OpenAI offers a suite of AI models and tools, including GPT-3, which can be utilized for natural language processing, text generation, and content analysis. IT services can leverage OpenAI's models to automate tasks, generate human-like text, and enhance language-based applications.

Visit info for more info - https://openai.com/

6. TensorFlow: TensorFlow is an open-source machine learning platform developed by Google. It provides a comprehensive ecosystem for building and deploying machine learning models, making it a popular choice for IT services in developing AI applications and conducting research.

Visit info for more info -  https://www.tensorflow.org/

7. PyTorch: PyTorch is another open-source deep learning framework widely used by IT services. It offers dynamic computational graphs and a user-friendly interface, making it easier to develop and train neural networks for various AI tasks.

Visit website  for more info - https://pytorch.org/

8. H2O.ai: H2O.ai provides an open-source platform called H2O, along with commercial products like Driverless AI. It enables IT services to build machine learning and deep learning models, automate feature engineering, and deploy AI solutions at scale.

Visit website for more info - https://h2o.ai/

9. RapidMiner: RapidMiner is a data science platform that offers a wide range of AI and machine learning capabilities. It provides a visual interface for data preparation, model building, and predictive analytics, making it accessible for IT services with varying levels of expertise.

Visit website for more info - https://rapidminer.com/

10. DataRobot: DataRobot is an automated machine learning platform that simplifies the process of building and deploying AI models. It automates tasks such as feature engineering, model selection, and hyperparameter tuning, allowing IT services to accelerate their AI development processes.

Visit website for more info -  https://www.datarobot.com/