INTELLIGENT DATA
Build trusted data foundations for AI
AI depends on data that people, applications and agents can find, trust and use. Arinco connects, governs and modernises data on Microsoft Fabric, Microsoft Azure and Azure Databricks, helping organisations protect their intelligence, improve decisions and power AI-enabled work.
Make your organisation’s intelligence ready for AI
Trusted data is the foundation for analytics, intelligent applications and agents. Arinco helps organisations connect, govern and modernise fragmented data so people and AI can access reliable context when they need it, creating a practical path to governed intelligence that supports AI at scale.
What is intelligent data?
Intelligent data is connected, governed and reusable information made available through modern data platforms. It gives people, analytics tools, applications, machine learning models and AI agents reliable access to the context they need.
Arinco designs and modernises the strategy, platforms, pipelines, data products and governance practices required to make organisational intelligence easier to find, trust and use.
What intelligent data can help you achieve
Give decision-makers faster access to consistent, reliable insights.
Connect data across systems for analytics, intelligent applications and AI agents.
Improve data quality, visibility and accountability through governance and stewardship.
Modernise reporting and enable secure, governed self-service analytics.
Reduce platform cost and operational effort through cloud-native engineering, automation and reusable patterns.
Build repeatable, observable machine learning delivery with appropriate lifecycle controls.
Keep data platforms reliable, secure and improving after go-live.
Trusted to make data ready for AI
Hear how Arinco works alongside customer teams to build secure, governed data foundations that improve decision-making and power AI-enabled work.
Create trusted intelligence, Done Right™
Data Done Right™ is Arinco’s structured approach to creating trusted, reusable data foundations for analytics, applications and AI. It brings together data strategy, platform modernisation, governance and cloud-native data products so information is easier to find, trust and use.
Arinco combines Microsoft Fabric, Azure Databricks, DevOps-based delivery and reusable Arinco intellectual property to reduce delivery risk and protect customer intelligence. Security, governance, cost, performance and operability are considered from the start so the data platform can keep evolving after go-live.
Data Done Right™ solutions
Data Assessment
Over two to six weeks, Arinco assesses your data environment, priorities and constraints to identify high-value data and AI opportunities, then provides a target architecture and sequenced implementation roadmap.
Data & AI Maturity Assessment
Give applications and agents secure, reliable access to the data and services they need. Built on Azure Integration Services, Arinco’s Intelligent Integration solution connects cloud, hybrid and legacy environments through reusable patterns, API management and real-time workflows.
Data & AI Strategy
Remove legacy barriers to AI adoption while using AI to accelerate the modernisation itself. Arinco combines agent-assisted development, cloud-native architecture and experienced engineering to improve delivery speed, maintainability, identity, access and security foundations.
Data Foundations Accelerator
Design and implement a secure, modern Azure data platform using infrastructure as code, DevOps and repeatable engineering patterns to support trusted analytics, applications and AI at scale.
Data Governance Accelerator
Establish a practical governance strategy and Microsoft Purview foundation, using automated metadata capture, a searchable data catalogue and sensitivity controls to improve data visibility, stewardship and compliance.
Enterprise Analytics Accelerator
Modernise enterprise reporting on Microsoft Fabric, improving data modelling and introducing governed self-service analytics so teams can access reliable insights and make decisions with confidence.
MLOps Foundations Accelerator
Create a standardised MLOps environment in Microsoft Fabric, Azure Databricks or Azure Machine Learning, automating model training, testing, deployment, versioning and monitoring with appropriate governance and compliance controls.
Intelligent Data in action
See how organisations are building trusted data foundations, improving access to insights and powering analytics and AI.
Keep data platforms reliable, governed and improving
Intelligent Co-Ops for Data Platforms provides ongoing managed services across Microsoft Fabric, Azure Databricks, Azure Data Factory and Azure Synapse. Arinco helps organisations operate and continuously improve data platforms with proactive monitoring, governance and production discipline.
Frequently asked questions
Why is trusted data important for AI?
AI models and agents need reliable access to relevant organisational context. Connected and governed data helps teams control what information AI can use, improve response quality and support more consistent decisions and workflows.
What makes data AI-ready?
AI-ready data is accessible, reliable, appropriately governed and available through platforms and interfaces that analytics tools, applications, models and agents can use. The required quality, security and governance controls depend on the use case and risk profile.
How do you assess whether a data environment is ready for AI?
A data assessment reviews the current environment, priorities and constraints to identify gaps and define a target architecture and sequenced implementation plan. Arinco’s Data Assessment typically runs for two to six weeks.
Which Microsoft technologies are used for modern data and AI platforms?
Modern data and AI platforms can use technologies such as Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure Machine Learning, Azure Data Factory and Azure Synapse. The appropriate services depend on the existing environment, data architecture and target workloads.
How does data governance support AI adoption?
Data governance helps organisations understand what data exists, who owns it, how it is classified and how it can be used. These controls make it easier to give AI systems appropriate access while protecting sensitive information and supporting compliance.
What is MLOps?
Machine learning operations, or MLOps, is a set of practices for building, testing, deploying, monitoring and governing machine learning models. A standardised MLOps environment helps teams make model delivery more repeatable, observable and controlled.
What happens after a data platform goes live?
Arinco can provide ongoing support through Intelligent Co-Ops for Data Platforms. Services can cover monitoring, reliability, governance, security, cost optimisation, structured change and continuous platform improvement.
Put trusted data to work across AI and analytics
Whether you are defining a data strategy, modernising a platform, strengthening governance or preparing machine learning for production, Arinco can help you create the trusted Microsoft data foundations needed for AI-enabled work.