AI and machine learning products and services go hand in hand, as many organizations require both software tools and expertise to harness the power of artificial intelligence and machine learning effectively. Here's an overview of AI and machine learning products and the corresponding services associated with them: AI and Machine Learning Platforms

Products: Platforms such as TensorFlow, PyTorch, and scikit-learn provide the tools and libraries needed to build and train machine learning models.
Services: Companies often offer consulting, training, and support services to help organizations implement these platforms effectively.

Custom AI Model Development:
Products: Custom-built machine learning models tailored to specific business needs. Services: Data science and machine learning consulting services to develop, train, and deploy custom models. This includes data collection, feature engineering, model training, and ongoing model maintenance.
AI Model Deployment and Hosting:
Products:Solutions like AWS SageMaker and Azure Machine Learning enable organizations to deploy and manage machine learning models in production environments.
Services:Deployment services that assist in hosting, scaling, and maintaining models, along with monitoring and performance optimization
Data Labeling and Annotation:
Products: Data labeling platforms and tools that help annotate and label datasets for supervised machine learning tasks.
Services: Data labeling services provided by companies or crowdsourcing platforms, often involving human annotators to label data accurately.

In many cases, organizations require a combination of products and services to successfully implement AI and machine learning solutions. Consulting, training, and ongoing support services play a critical role in helping businesses leverage AI technologies to their fullest potential and address specific industry and domain challenges.