Cake Solutions machine learning team offers services in all phases of a machine learning & big data project. Whether you are exploring the 'art of possible', and need to expand or validate your thinking in the latest machine learning & big data advancements; whether you are building a proof-of-concept and need to get up to speed quickly; whether you are building a production-ready application that heavily relies on machine learning and big data, we are here to help.
We have successfully delivered large-scale, green-field machine learning projects that comprise not only large-scale data ingestion and computation in the cloud, but also the processing at the point of measurement - on wearable and industrial sensors, including the reliable delivery of the measured & pre-processed data. We have successfully helped our clients with scaling their machine learning prototypes in R, MATLAB and Python to a more robust & scalable implementation in Apache Spark.
Whatever your project may be, we appreciate the challenges in building machine learning systems: from the data ingestion and pre-processing, through the need for fast experiments, model and data management, persistence & testing; all applied at the necessary scale and yet remaining cost-efficient to compute.
We partner with IBM to assist our clients with their application of the IBM Bluemix cloud platform, IBM Watson AI engine and Apache SystemML.
Turning to technology, our expertise includes the latest advancements in Apache Spark, particularly when used in a large-scale reactive system (typically using the Apache Spark, Mesos, Akka, Cassandra, Apache Kafka stack). Alongisde the large-scale cloud machine learning platforms, we are experts in reaching out through the 'fog' to mobile, wearable and IoT computing.
"There were 5 exabytes of information created between the dawn of civilisation through 2003, but that information is now created every 2 days"