Data & AI

A key challenge for many of our clients is maintaining asset through their lifecycle, mitigating risks of downtime and surfacing utilisation metrics to optimise field service and maintenance plans.

As businesses move from reactive to predictive and proactive strategies, so does the requirement for improved data collection and decision automation. Adoption of IoT technology gives more accurate and secure real time data from the array of edge devices such as sensors, mobile devices, plant machinery, control systems and other deployed equipment. Capturing insights from this ‘Intelligent Edge’ is fundamental to delivering effective predictive maintenance and field service solutions.

The challenge of effectively processing and interpreting such large quantities of data is met by the increasing sophistication and accessibility of AI, machine learning, big data analysis techniques and the Azure cloud platform. Combined with the dynamic scheduling and service delivery automation capability of Dynamics Field Service, insight is turned into action and real-time asset optimisation is now a reality.

Streamlining data gathering processes and reducing manual entry improves the accuracy and availability of information as a foundation for uncovering insights that can deliver transformation business improvement. Foundational business intelligence solutions delivered using Microsoft’s Power BI and Azure SQL are the building blocks for self-service analytics capabilities which can give all levels of an organisation access to the insights they need.

Our clients are harnessing their data by adopting tools, methods and platforms to optimise operations in real time and deliver strategic insights into performance. Our big data solutions are built using advanced analytics tools on the Microsoft platform, including Azure Databricks, which unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.

The type and complexity of data that can be introduced to the system is unlimited.

As digital maturity and analytics capability increases, organisations can begin integrating asset data via IoT technologies and take advantage of opportunities from the convergence of information and operational technology. As real-time data streams in from vehicles, machinery, sensors, planning and management systems and other devices, the opportunities and complexities are multiplied.

The good news is you can start small, deliver quick wins and get comfortable with how to deploy, laying a stable foundation for fundamentally improving business performance.

Remove the risk and run costs of artificial intelligence solutions with access to a library of algorithms and on-demand expertise.

Our AIOD solutions provide a launchpad for organisations to enrich new and existing data management capabilities by applying AI to specific use cases and working in partnership with Velrada’s team of experts to identify opportunities for quick wins and more advanced, custom solutions.

Identify the business case for cloud-based analytics and build out your capability quickly with scalable tools on the Microsoft cloud platform.

Organisations at any level of digital sophistication benefit from improved information management technology and processes. Often larger organisations have the aspiration to move rapidly to a data-driven decision making environment but siloed information, legacy systems and resource-intensive processes make reporting, analysis, and execution difficult. Likewise, smaller organisations or new businesses that haven’t ‘grown up digital’ can be wary of introducing new technology capabilities, or are unable to identify where to start to get the most out of the Azure cloud platform.

We created a quick-start solution which is tailored to organisation size and digital and analytical capability, Zero to Azure Data Foundations.

This 6-8 week program is designed to improve core information management awareness, knowledge and systems, and develop a blueprint for navigating the deployment or increased usage of Azure and the opportunity for advanced analytics in your organisation.