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Our transformation consultants specialise in streamlining processes, enhancing efficiency and driving positive change.

Whether you’re still exploring your options or have a clear path in place, we support the analysis and implementation of cutting-edge digital solutions – scoping full transformation programmes and integrating technologies such as AI, cloud computing, data consolidation and process mining to ensure lasting impact.

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Knowledge Cards

These pages give overviews of technical terms that you may encounter in transformation programmes, along with real world examples and FAQ

API Calling

API calling is the process where one software application requests information or services from another application using an Application Programming Interface, or API. This allows different programs to communicate and share data automatically, without manual input. API calls are used to fetch, send, or update information between systems, making it easier to build connected software and automate tasks.

Role-Based Access Control (RBAC)

Role-Based Access Control (RBAC) is a method for managing user permissions within a system by assigning roles to users. Each role comes with a set of permissions that determine what actions a user can perform or what information they can access. This approach makes it easier to manage large groups of users and ensures that only authorised individuals can access sensitive functions or data.

Fault Tolerance in Security

Fault tolerance in security refers to a system's ability to continue operating safely even when some of its parts fail or are attacked. It involves designing computer systems and networks so that if one component is damaged or compromised, the rest of the system can still function and protect sensitive information. By using redundancy, backups, and other strategies, fault-tolerant security helps prevent a single failure from causing a complete breakdown or data breach.

Model Performance Metrics

Model performance metrics are measurements that help us understand how well a machine learning model is working. They show if the model is making correct predictions or mistakes. Different metrics are used depending on the type of problem, such as predicting numbers or categories. These metrics help data scientists compare models and choose the best one for a specific task.

Invariant Risk Minimization

Invariant Risk Minimisation is a machine learning technique designed to help models perform well across different environments or data sources. It aims to find patterns in data that stay consistent, even when conditions change. By focusing on these stable features, models become less sensitive to variations or biases present in specific datasets.

Infrastructure as Code

Infrastructure as Code is a method for managing and provisioning computer data centres and cloud resources using machine-readable files instead of manual processes. This approach allows teams to automate the setup, configuration, and maintenance of servers, networks, and other infrastructure. By treating infrastructure like software, changes can be tracked, tested, and repeated reliably.

Equivariant Neural Networks

Equivariant neural networks are a type of artificial neural network designed so that their outputs change predictably when the inputs are transformed. For example, if you rotate or flip an image, the network's response changes in a consistent way that matches the transformation. This approach helps the network recognise patterns or features regardless of their orientation or position, making it more efficient and accurate for certain tasks. Equivariant neural networks are especially useful in fields where the data can appear in different orientations, such as image recognition or analysing physical systems.

SQL Injection

SQL Injection is a type of security vulnerability that occurs when an attacker is able to insert or manipulate SQL queries in a database via input fields in a website or application. This allows the attacker to access, modify, or delete data in the database, often without proper authorisation. SQL Injection can lead to serious data breaches, loss of sensitive information, and potential damage to an organisation's reputation.

Trust Region Policy Optimisation

Trust Region Policy Optimisation, or TRPO, is a method used in reinforcement learning to help computers learn how to make decisions. It works by ensuring that each learning step does not move too far from the previous strategy, which keeps learning stable and prevents sudden mistakes. By carefully controlling how much the computer's decision-making policy can change at each step, TRPO helps achieve better results, especially in complex environments.

Feature Correlation Analysis

Feature correlation analysis is a technique used to measure how strongly two or more variables relate to each other within a dataset. This helps to identify which features move together, which can be helpful when building predictive models. By understanding these relationships, one can avoid including redundant information or spot patterns that might be important for analysis.