• Time to Innovate Fujifilm: Making better data-driven decisions in Science and EngineeringLilian Monahan from Fujifilm will share how exploratory data analysis enables continuous improvement of processes and allows non-data scientists to better understand and communicate their findings, while also getting a clear visualization.
• Time to Innovate Design experiments to be robust to input variationDuring the Ondemand, you’ll learn ways of designing new products, developing new processes, improving existing processes, developing new and improving current measurement systems so they can tolerate as much variation as possible in incoming material, processing, and operating characteristics.
• Time to Innovate How to ensure your investment in Machine Learning yields beneficial outcomesHear Jonathan Williams, PhD, is the Data Analysis Manager at IQE. You will find guidance and stories about how to get started with machine learning techniques or effectively integrate them within existing programs that seek to make the most of your data and drive more value for your organization.
• Time to Innovate Glean and Visualize Deeper Insight from Your DataHear best practices from Procter & Gamble and Michelin! Gaining skills around a multistage process of turning data into useful insights is key. You will see how interactive, no-code analytics enable any scientist or engineer to turn data into actionable insights with a combination of data preparation.
• Time to Innovate Biotronik: Accelerate Product and Process Development with Design of Experiments (DOE)In this video, we speak to Christian Guhr, a Process Engineer at BIOTRONIK, about his experience of using data analysis, and specifically Design of Experiments, to accelerate product development.
• Time to Innovate Symrise: Mastering complex processes with Design of ExperimentsLearn how Symrise’s approach in Design of Experiments leads to understanding of complex processes and targeted formulation development
• Time to Innovate Solvay: Industrial data science for chemical process perfectionJoin us for a JMP sponsored webinar with Solvay data scientist Francisco Navarro to learn how to better understand chemical processes
• Time to Innovate GSK: Optimising your experimentation process using JMPLearn how GSK’s Design of Experiments approach has resulted in a more efficient development process and delivered greater understanding and control of their drug production processes
• Time to Innovate Dr Reddy’s: How to make analytical methods fit-for-purposeLearn about advances in developing scientific analytical methods development and validation in the pharmaceutical industry
• Time to Innovate Anatune: Data analytics for analytical method developmentLearn how you can develop better methods faster using the synergy of automated sample preparation, chemometrics and design of experiments (DoE)
• Time to Innovate AstraZeneca: Future chemistry: exploring the possibility spaceFind out how to accelerate discovery by understanding vast and complex chemistry problems with visual and predictive data modelling
• Time to Innovate Stan Higgins, OBE: Capturing value from your data to accelerate innovationLearn how to increase speed to market with cutting edge data science methods for R&D and manufacturing
• Time to Innovate Start being predictable: improve your experimentationLearn how modern experimentation methods can increase your process understanding, allowing you to develop new products and boost your R&D output
• Time to Innovate Imperial College: Teaching Design of Experiments to chemists: lessons from Imperial College LondonFirst-hand experience from Imperial College London: Join us to learn about the importance and efficient implementation of a DoE training program in chemistry
• Time to Innovate Synthace: Accelerating process development with automated Design of ExperimentsJoin us to learn how Synthace’s software platform, Antha, empowers scientists to automate Design of Experiments (DoE) for optimising bioprocesses