Core specialism
Consultants and dedicated teams in Data & AI
The reliability of a dashboard or of a model in production depends on the pipeline that feeds it: ingestion, transformation, modelling, orchestration, monitoring. Neoshore works across that entire pipeline, from data engineering to MLOps.
Profiles covered
Data Engineering
ML Engineering & MLOps
Analytics & BI
Environments and tools
Engagements
Topics covered in Data & AI
Data platform
Design and industrialisation of ingestion and transformation pipelines, on Spark, Airflow and the data services of AWS, Azure or GCP.
Modelling and BI
Analytical data models, semantic layer, data quality rules and Power BI or Qlik dashboards.
Putting models into production
MLOps: deployment, monitoring and retraining of machine learning models in production.
Generative AI
Integrating language models into applications and business processes: retrieval-augmented generation, evaluation, data control.
Two engagement models: consultant placement, with first profiles presented within 5 working days, and the dedicated team, operational within three weeks from the centres of excellence.
Discuss your needs in Data & AI
An account manager arranges an initial scoping meeting, then proposes the appropriate engagement model.