Applied Artificial
Intelligence
We understand the needs required to develop established MLOps pipelines, that in operational settings, allow the power of models to be leveraged.
Optimising Business Processes with Innovative AI Technologies
AI & Machine Learning
Artificial Intelligence and Machine Learning are two powerful tools that have revolutionised the way we develop software. Artificial Intelligence is the process of creating intelligent machines that are able to think and act like humans, while Machine Learning uses data to identify patterns and make predictions. In our software development, we use these technologies to automate tasks, improve user experiences, and develop more accurate and efficient algorithms. AI and ML can also be used to recognise patterns in data, identify anomalies, and recommend optimal solutions to complex problems. This has enabled our developers to create more sophisticated and intuitive applications that can be used in a wide range of industries.
Data Discovery
At Redev we are able to uncover new insights and information from data using AI-powered technologies. This process involves using AI capabilities such as natural language processing, machine learning, and deep learning to automatically analyse and draw insights from large volumes of data. Data discovery can help your business make better decisions, uncover hidden correlations, and gain competitive advantages. It can also be used to identify patterns and trends, as well as support the development of predictive models.
Redev's expertise in cutting-edge AI technologies, combined with their extensive experience in enterprise development, created the ideal partnership for us. Their guidance allowed us to grasp the nuances of new AI advancements and seamlessly integrate them into our systems, significantly enhancing our business value.
Malcolm Wallis - CEO
Compliance 365
ML Pipelines
We use ML pipelines to streamline the development process, allowing us to develop and deploy applications faster and with fewer manual steps. By automating the process of deploying software, we can reduce development time and improve the reliability of your applications. ML pipelines can also help you manage your data better, as they can be used to process and analyse data from multiple sources. Additionally, ML pipelines can be used to monitor and alert users when certain parameters are met, such as when a feature is released or when an issue is detected.
Reinforced Learning
Reinforced learning is essentially a type of machine learning algorithm that works by rewarding the AI when it makes correct decisions and punishing it when it makes incorrect decisions. This allows the AI to learn from its mistakes and become more accurate and efficient over time. Our developers have used reinforced learning in both robotics and game AI. In each of these applications, the AI is trained to take certain actions in response to its environment, and then rewarded or punished accordingly. By simulating the environment and reinforcing the AI's decisions, it can learn to perform complex tasks with greater accuracy and efficiency.
