ProActive AI OrchestrationAI Application AI INFRA AI Strategy AI Technology AI Today & Tomorrow API ARTIFICIAL NEURAL NETWORKS BIG DATA COMPUTER VISION DASHBOARD DATA ANALYSIS DATA INTEROPERABILITY DEBUGGING DECISION AUTOMATION DIGITAL TRANSFORMATION FPGA MODEL DRIFT MODEL MONITORING MODEL PERFORMANCE MANAGEMENT MODEL VALIDATION MODELOPS PERFORMANCE/EFFICIENCY PROCESS OPTIMIZATION REALTIME SOFTWARE
ProActive AI Orchestration provides well-designed processes to the Data Scientists' experimental phase, and does it by connecting familiar Data Science tools that the engineers are comfortable with. This allows engineers to use automated workflow processes, facilitating the collaboration and helping them to understand what happened prior to the hand off. This understanding and collaboration will impact how the model is brought to production. It enables them to collaboratively iterate with the Data Scientists as they put the model in production.