Managed Data & AI Services
Transform complex data and AI environments into reliable, scalable, and results-driven operations.
With continuous management, 24/7 monitoring, and cost control to support sustainable business growth.
Dedalus’ Managed Data & AI Services consist of a structured model for operating, maintaining, and continuously evolving data, analytics, and artificial intelligence environments.
This model combines 24/7 monitoring, established market best practices, and governance processes to ensure availability, control, and operational efficiency in increasingly complex environments.
By structuring data and AI as a managed service, aligned with business needs.
More control, efficiency, and reliability in Data & AI
Data and AI environments are becoming increasingly complex, distributed, and dependent on multiple platforms, while also playing a critical role in operations and decision-making within organizations.
This scenario requires continuous and structured management capable of ensuring:
- Availability
- Performance
- Security
- Cost control
However, many organizations still operate reactively, focusing on basic support and addressing day-to-day demands without a structured management approach.
As a result, these environments often face limitations related to:
- Data governance and quality
- Operational visibility and monitoring
- Performance and capacity management
- Cost control and optimization
Ensure governance, optimize operations, and drive better results
Dedalus’ Managed Data & AI Services address the need to structure the operation of data, analytics, and AI environments in a continuous, controlled, and results-oriented way.
The solution establishes an operational model that goes beyond technical support, incorporating continuous monitoring, governance practices, SLA-based management, and structured operational processes.
This enables environments to move from a reactive approach to one driven by predictability, control, and efficiency, ensuring:
- Greater reliability and availability
- Structured data governance and quality
- Operational visibility and continuous monitoring
- Efficient performance and cost management
- Reduced operational and security risks
The 5 pillars that support the service:
The operation is designed to cover the entire Data & AI value cycle.
Data and AI operations are structured around integrated pillars that cover everything from technical support to governance, control, and continuous evolution.
Each pillar addresses a critical dimension of the operation, ensuring that the Data & AI ecosystem remains stable, secure, and efficient over time.
Ensures the support and evolution of technologies that power data and AI environments, maintaining stability and operational consistency.
- Continuous platform support (cloud, Databricks, Snowflake, among others)
- Provisioning and configuration following best practices
- Environment orchestration to prevent failures and inconsistencies
Establishes mechanisms to ensure data is reliable, traceable, and protected throughout its lifecycle.
- Definition and enforcement of data quality rules
- End-to-end data lineage
- Classification and protection of sensitive data
- Integration with operational and management processes (ITSM)
Responsible for monitoring and optimizing performance to ensure environments meet business demands efficiently.
- Continuous performance monitoring
- Bottleneck identification and diagnosis
- Technical recommendations for improvement
- Actions aligned with preserving client governance
Ensures visibility and control over resource consumption, enabling more efficient financial management.
- Detailed consumption monitoring
- Identification of anomalies and waste
- Cost optimization recommendations
- Capacity and growth planning
Ensures continuous protection of data and critical assets in compliance with applicable policies and regulations.
- Access and permission monitoring
- Compliance assessment (including GDPR/LGPD)
- Incident identification and reporting
- Implementation of structured security controls
Data and AI operations are supported by a structured foundation of continuous monitoring and operational management, ensuring visibility, control, and proper response to events throughout the lifecycle.
This foundation consists of two complementary dimensions:
Monitoring & Observability
Provides continuous visibility of the environment, enabling real-time monitoring of platforms, pipelines, models, and infrastructure.
- Monitoring of platforms and environments (AWS, Azure, GCP, Databricks, Snowflake)
- Tracking data pipelines, AI models, and infrastructure resources
- Proactive identification of failures, degradation, and anomalies
- Use of specialized observability tools
Structured operation (ITSM)
Organizes and standardizes operational management, ensuring traceability, proper prioritization, and consistent handling of demands.
- Incident, problem, and request management
- Change control and crisis management
- Structured processes for support and escalation
- Integration with other Data & AI operational layers
Our solution is designed to operate alongside leading market players:
Understand the Managed Data & AI Services model:
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Bring more control, efficiency, and reliability to your data and AI environments
Talk to our experts and discover how to structure your operations with Dedalus’ Managed Data & AI Services.