Working with Dynam.AI
Use Case Identification
Know how your data can be applied to AI, ML, Computer Vision, and data science applications.
Data Feasibility Analysis
Data Scientists analyze KPIs with available data sets to determine their state and usability for successfully achieving results.
Data cleanup, labeling, augmentation, embedding, and pre-filtering to create a feasibility project roadmap.
Data Scientists develop algorithms and train those models to replicate cognitive thought processes and methodologies.
Data Scientists develop algorithms and train those models with access to the Context-Augmented Machine Learning guided neural networks for machine learning.
Model Deployment & Solution Integration
Following training AI/ML models are deployed into the business to analyze data via APIs, front-end interfaces, and packaging.
Launch & Service
Your application needs the proper hosting environment for deployment and a plan for continued support and maintenance.