Throughout the whole procedure, the high-level architecture of the AI solution as well as its Project Plan are designed/refined – accounting all needs, expenses, risks etc.
High-level architecture
Project plan
Once the prototype solution is integrated into the product/ service, an efficient MLOps is installed – running quick experiments and production increments.
Mlops bootstrap
Production increment
It is followed by extensive analysis of the accumulated information with speculative solutions ensuing – leading to a proof of concept test and viability assessment.
Exploratory analysis
Predictive analysis
Proof of concept
Viability assessment
Our Artificial Intelligence procedure begins with a thorough exploration into the company's vision, analyzing current software tools and available data – allowing for an accurate problem definition.
Briefing
Benchmark
Data sources
Problem definition
Our Data Science Development Process.