This encompasses training models on historical data, validating their performance, and deploying them for real-time predictions or classifications, incorporating techniques such as supervised learning, unsupervised learning, and reinforcement learning. Intermediate Data Systems offers the following through its Artificial Intelligence and Machine Learning offerings:

• Custom Model Development: Tailored ML models designed to address specific business needs, such as predictive analytics, recommendation systems, natural language processing (NLP), computer vision, etc.
• Data Pipelines and Infrastructure: Building scalable and efficient data pipelines for collecting, processing, and transforming data required for AI and ML models. This includes setting up data lakes, data warehouses, and ensuring seamless data flow.
• Model Deployment and Integration: Implementing models into production environments and integrating them with existing systems or applications for real-time usage. This involves ensuring scalability, reliability, and security of deployed models.
• Consultation and Strategy: Providing consultancy services to help businesses devise AI strategies, identify potential use cases, and implement AI and ML solutions aligned with their objectives.

Overall, Intermediate Data Systems' AI Engineering and Machine Learning offerings cater to businesses looking to harness the power of AI technologies to extract insights, automate processes, and gain a competitive edge in their respective industries.