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The Chemical, Polymer, and Material sciences industry is on the cusp of a digital revolution. The rapid digital maturity of its associated end-markets, such as electronics, agriculture, and pharma, has forced research labs to embrace "cloud technology-led digitalization" with open hands. We examine how cloud technologies boost research productivity, performance, and collaboration.

Enables Real-time Collaboration and removes the overhead of capital investment

Cloud technologies facilitate scientists and researchers to work together on a global real-time scale by adopting a zero-footprint deployment setup across mobile devices and desktops. Cloud-based applications now remove the headache for labs to invest capital for applications requiring advanced computing, such as buying dedicated server farms. Researchers and scientists can directly send the data for analysis on the cloud, where on-demand resources are readily available. Another benefit is the facilitation of remote working, where contributors can contribute and view results in real-time, ensuring that the project is always on track. Thus, researchers can devote more time to accelerated innovation while shifting focus on new product developments to match the pace of new material specifications from end-market players.

Cloud-based data management solutions make labs smarter

Cloud-based data management solutions make research data available via a web-enabled online dashboard stored securely in a central server. This dashboard is leveraged for scheduling & tracking tasks, automating experiments, and managing mission-critical data. Automated workflows, cloud-based Laboratory Information Management Systems, Electronic Lab Notebooks, and customized reports are made available at the click of a button. Solutions also come equipped with advanced analytics that provides actionable insights helping researchers make informed decisions.

Cybersecurity for Protection of critical tangible and intangible assets

The cloud provides Protection against IP theft and data leakage in R&D intense industries. An added benefit is protecting critical/strategic assets against cyberattacks and outages. Once data is securely moved to the cloud, role-based access privileges and security protocols can enable multiple collaborations.

Enhanced lab performance by harnessing the power of big data and machine learning

Cloud technologies enable data-driven labs by using artificial intelligence & big data techniques. Accurate data analysis leads to actionable insights, which are achieved by developing predictive models and integrated data pipelines that help forecast trends, alert researchers to issues, & automate daily tasks. Machine learning is also actively used to detect unseen patterns from historical and real-time data streams and locate the root cause of defects and inefficiencies, boosting overall productivity and performance.

Digitalization enables operational excellence

Digitalization uses loT data and advanced analytics to optimize the production process via automation. This increases the speed and flexibility of operations while reducing cost. Monitoring process parameters in real-time helps establish optimal operating conditions and controlling commands resulting in overall yield optimizations.

Polymerize's data management solution helps you maximize the productivity of your R&D labs by enabling scientists to focus on critical tasks via cross-department collaborative environments. Leverage the benefits of actionable insights leading to swifter innovation cycles and accelerated product development. Request a demo now.