There is no question that new technologies can dramatically improve efficiency and scientific insights for analytical labs. Automation, artificial intelligence, robotic systems, virtual reality, informatics, advanced algorithms and consistent data structures all hold promise for increasing lab throughput, reducing errors, and cutting costs.
The new question is how to transform your vision of the digital lab into reality—quickly, cost-efficiently, and with a strong partner you can trust. Agilent has the open solutions, the modern technology, and the proven track record you need to accelerate your journey with confidence. Let’s explore the opportunities together.
Get in touchThe digital lab is an open, connected, intelligence-infused laboratory ecosystem. Its purpose is to maximize throughput and quality so lab staff can focus on problem-solving and true innovation.
The urgency of moving to a digital model is steadily increasing, driven most recently by the need for faster remote data access, scalable cloud-based storage, smarter asset monitoring, and remote work options, and improved collaboration.1
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Agilent focuses on helping to address four specific areas:
New quantitative research shows that Agilent is strongly associated with customized support, innovation, and overall quality and dependability. Agilent leads all competitors in driving visions of “lab of the future” in the United States, China, and Europe.2
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Contact us to get more information about our solutions and experience building the digital lab, and speak with a digital lab specialist who can help you take the next steps on your journey.
Get in touchUsing a combination of data intelligence and expert guidance, the Agilent team was able to dramatically transform laboratory operations, attaining nearly 100% uptime.
DownloadKing’s College London replaces a mix of notebooks and spreadsheets with Agilent SLIMS to bring together different management systems in a single system.
DownloadClinical testing labs safely share structured insights on germline variants in disease genes.
DownloadA networked CDS allowed Siegwerk to centrally store, process, and access data generated—using only one software interface and fewer PCs.
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