Dedalus Data & AI Managed Services

Dedalus Data & AI Managed Services supports organizations throughout their entire Data & AI-driven transformation journey, continuously investing in highly skilled people, mature processes, and leading market tools. With strategic partnerships with Databricks, Snowflake, and AWS, as well as certifications and specializations in Lakehouse, Analytics, MLOps, and AI Services, Dedalus delivers modern, scalable, and secure solutions in complex corporate environments.

Using well-known methodologies and frameworks including ITIL, PMI, DMBOK 2.0, CRISP-DM, Scrum, Well-Architected Framework for Analytics & AI, Data Mesh, and MLOps Frameworks, Dedalus ensures excellence in data architecture, governance, security, and operations. The service helps clients balance Multicloud flexibility with operational efficiency, cost control, and sustainable results.

The service is built on five key pillars:

Specialized technical support and ongoing administration of data platforms and GenAI services. Ensures reliable and intact execution of ETL/ELT pipelines, data orchestrators, and generative AI pipelines.

Maintenance of centralized catalog, metadata, lineage, and documentation of AI artifacts. Continuous quality monitoring, anomaly detection, AI bias management, and regulatory compliance.

Planning for storage and compute growth, quarterly architecture audits validating alignment with industry standards, and SLA monitoring for latency, availability, and inference.

Centralized cost visualization dashboard with periodic reviews providing optimization recommendations.

Management of security controls and policies, centralized identity and access management, regular compliance monitoring and access audits, and backup and disaster recovery testing.

All pillars are supported by Monitoring and Observability of data, pipelines, and models, along with ITSM for management of incidents, changes, requests, and crises.