How to Integrate Python and R with SQL Server 2017
The use of SQL Server , R and Python have become ever more popular in recent years – with one ... >
Award-winning data science solutions from the RedPixie team
We are an award-winning data science team providing transformative business insights and results using Azure cloud technologies.
Our focus is machine learning,
With a mix of science academics and technologists, we’re building solutions in the financial services and insurance sectors that change the way companies view key business processes.
We work alongside your actuarial, capital modelling, risk modelling, and catastrophe management teams to build faster, scalable cloud solutions using distributed and parallel processing to prioritise critical scenario processes.
Billions of internet-connected devices are set to change the way we use data both in business and our daily lives. We carry out R&D that keeps us at the forefront of this movement, focusing on how we can manage and deliver insight from the vast amount of data in the cloud. Our work connects us to various sectors - including health, insurance and automotive companies.
We work with you to understand your desired business outcomes, designing and building solutions that meet all these goals. However, we also want to show you the “art of the possible” demonstrating the best the Azure cloud offers. Here are a few examples:
Focus on your core business while our Managed Solutions team provide 24x7x365 support.
We’ll manage and service any solution built and deployed by the RedPixie Cloud Transformation, Data Science and Data Platform teams. Alternatively, we can assess your existing Azure cloud data systems and provide a managed service once we understand your landscape and business needs.
Our managed solutions include:
We built an end-to-end wearables solution for a leading UK health care provider, enabling them to proactively monitor and manage the health of their patients.
We’re building a “population scale” Azure cloud solution to retrieve, process and analyse that data to predict health conditions.
We transitioned this complex IBM software stack from an IBM data centre platform into Microsoft Azure after successfully demonstrating its superior performance.
The business can now model risk and solvency quicker and run more simultaneous scenarios than ever before.
Run complex Excel models at scale, natively in Microsoft Azure. Azure Calculation Engine (ACE) reduces risks that occur when running business critical processes on client-side technologies. ACE supports huge parallel scale-out, allowing modellers and Excel developers to embrace mature release processes.
We demonstrated how car fleet managers can reduce their workload by more than 70% using machine learning to filter out car sensor “noise” such as speed bumps, pot holes, and erratic driving.
We’ve won awards and featured prominently in multiple data science competitions including: