Machine Learning

HOW?

Predictive Modelling at Speed
Understand future outcomes and achieve your business goals. With dedicated infrastructure that supports open source tools, we help you streamline supervised learning for predictive analytics so you can innovate at pace. Effectively store structured & unstructured data with HDFS and leverage tools such as Spark, with an ML library and in-memory processing to ensure real-time predictive results that accelerate your business.

Operationalising ML
Bridge the gap between predictive models and downstream business applications. We build custom data pipelines allowing you to exploit the benefits of ML and AI throughout your enterprise. Bringing our expert knowledge and experience with APIs, we reduce barriers to entry and development time as well as providing easy maintainability through powerful visual data pipelines. Ensure cost effective and easily scalable ML and AI workloads to help you achieve accurate predictions in production pipelines.

Broadened Data Approach
Through discovery, integration and optimised HW/SW, we help you integrate previously untapped data sources - image, audio, video, IoT sensor data - into your ML models and AI applications for increased accuracy. Integrate unstructured and previously ‘dark’ forms of data to get smarter about your customers, processes and products.

Innovate with AI
Drawing on prediction, automation and optimisation we help you integrate AI into your business with advanced text analytics, chatbots, demand forecasting, fraud prevention and more. Develop a custom solution or choose from pre-trained AI services that provide ready-made intelligence for your applications and workflows.

Data Quality Assurance
High quality training data is essential to ensuring ML accuracy and maximum value from ML projects. With data from multiple sources across multiple time frames, we provide you with an environment tailored to your needs. Import data from all your sources, transform with preconfigured code and explore visually to spot inconsistencies to create meaningful data sets so you can start training sooner.

Build with Ease
Our solutions ease the development lifecycle through integration with popular machine learning frameworks such as TensorFlow, Pytorch and MXNet. You can now build ML models faster than ever with technology such as Amazon SageMaker which allows you to securely create, store and discover pre-made features to build your models.

Expedited Model Training
Achieve faster model training, iterating faster with increased accuracy for time sensitive large scale training. We select and combine compute, networking and storage resources tailored to your needs, allowing you to leverage big data to train your models. Through deep resource profiling, we also allow you to identify bottlenecks and maximise resource allocation.

Prescriptive Analytics
With a firm analytics foundation and evolved strategy, achieve true data-driven decision making with recommendation systems built on high performance infrastructure.