Data-driven Approaches in Life Sciences
09/05/23
The volume of data available to the life sciences industry keeps on growing. What are the opportunities for companies to effectively turn this data into value? And what services can help to reach this goal?
Bioinformatics analyses can range from software to AI and Machine Learning techniques, which can be used to extract business value out of data.
Any business activity that has to deal with the processing of large data sets, simulations and modeling or extensive computational problems sooner or later benefits from the computing power – and also speed – of a supercomputer. In life sciences, generating data-driven insights are more relevant than ever. For example, for applications in artificial intelligence and the development of new drugs, tailored environmental treatments, or sustainable business models.
Drop by for a chat with our RIC colleague Thomas Martens (BD & Sales Manager).