Since we launched Finance and Supply Chain Workflows in May, I've had a lot of conversations with ServiceNow customers. They want to know how we're applying the Now Platform to address the challenges their business stakeholders have been facing across the source-to-pay process.
While there are an increasing number of off-the-shelf machine learning (ML) solutions that promise to adapt to your specific requirements, organizations that are serious about investing in ML for the long term are building their own workflows tailored exactly to their data and the outcomes they expect. To make full use of this investment, ML models must be kept up to date and working from the freshest available data.
Transnetyx is an automated genotyping company dedicated to providing biomedical researchers with faster, easier, and more accurate results worldwide.
