A platform for future technologies
As high-throughput technology develops, the volume and complexity of data that has to be managed is set to increase further. Informatics platforms must be flexible and scalable to meet future needs. Cloud-based platforms are by nature extensible and are designed to evolve with changing technology.
There is a potential for future technologies to be combined with cloud-based digital platforms. Artificial intelligence (AI) is a rapidly developing field, with an ever-increasing range of applications. The latest AI programs can use machine learning to analyze complex unstructured biological data, giving the capacity to address key research questions much faster than traditional approaches. The benefit of cloud-based platforms is that they are able to combine all data into a single, integrated digital ecosystem, which should allow future AI systems to mine the data and analyze the results.
In a world of ever-increasing data, cloud-based informatics platforms provide a cost-effective solution to the growing problems of managing big data on-site. Their versatile and modular nature means they can be adapted to each individual laboratory setting. These systems have major advantages in terms of streamlining data acquisition and analysis, managing data storage, and facilitating data sharing. Looking to the future, flexible and scalable systems, such as these, have the capacity to evolve as technology advances.
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* A. Westley: Thermo Fisher Scientific, Altrincham/United Kingdom