Search results Search for: Search Refine your results by duration: Any Under 5 mins Under 20 mins Over 20 mins Sort by: Relevance Views Date Development of a Blending Design Space Model to Control Uniformity... Manel Bautista at Roche, Sebastian Sowinski at Sentronic and Bernhard Meir at Gericke Full title: Development of a Blending Design Space Model to Control Uniformity in a Mini-Batch Direct Compression Line Presented by Manel Bautista, S... October 23, 2023 2:00pm [APAC Webinar] Kubeflow vs MLFlow: which one to choose? Maciej Mazur - AI/ML Principal Engineer at Canonical, Kimonas Sotirchos - Kubeflow Community Working Group Lead Artificial Intilligence and Machine Learning are hot topics these days, with more enterprises announcing huge investments in powerful computing hardwa... 4 weeks ago | 51 mins Converging DOEs and Machine Learning with Self-Validating Ensemble Modeling Christopher Gotwalt, PhD, SAS Institute | Philip Ramsey, PhD, Predictum Inc. | Wayne Levin, Predictum Inc. Self-Validating Ensemble Modeling (S-VEM) is an exciting, new method that delivers machine learning accuracy to Design of Experiments (DOE) and has ma... 3 years ago | 58 mins How to Utilize Design of Experiments (DoE) Principles for the Development of... Jeremy Springall PhD, Scientist II, Analytical Sciences, R&D Biopharmaceutical Development, AstraZeneca Full Title: How to Utilize Design of Experiments (DoE) Principles for the Development of High Throughput, Robust Methods for the Assessment of Product... 3 years ago | 43 mins Causal AI in the Energy Industry: Lessons learned at TotalEnergies Antoine Bertoncello The Causal AI Conference 2022: Causal AI in the Energy Industry - Lessons learned at TotalEnergies Antoine Bertoncello Head of Next Generation AI, To... 7 months ago | 28 mins How to Utilize Design of Experiments (DoE) Principles for the Development of... Jeremy Springall PhD, Scientist II, Analytical Sciences, R&D Biopharmaceutical Development, AstraZeneca Full Title: How to Utilize Design of Experiments (DoE) Principles for the Development of High Throughput, Robust Methods for the Assessment of Product... 4 years ago | 44 mins Demonstrate how machine learning tools can aid development of formulation... Rolf Taaning, Development Specialist PhD, and Erik Skibsted, Principal Scientist PhD at Novo Nordisk Denmark Full Title: Demonstrate how machine learning tools can aid development of formulation, analysis and manufacturing of pharmaceutical drug products Nov... 3 years ago | 98 mins Just Build It! How to Make MLOps a Reality In Your Organisation Andrew McMahon, ML Engineering Lead at NatWest Group Orchestrating data science and machine learning in an industrial setting is difficult. The data landscape is challenging, littered with complex proble... 1 year ago | 52 mins Facilitating CMC Development and Regulatory Filings with Phase-Appropriate QbD Tiffany Rau, PhD, Rau Consulting LLC, Phil Ramsey, PhD, Predictum Inc., and Wayne Levin, Predictum Inc. Pharmaceutical and biotechnology companies are under increasing pressure to reduce timelines and costs to speed up the delivery of safe and high-quali... 3 years ago | 54 mins Kubeflow vs MLFlow Maciej Mazur - AI/ML Principal Engineer at Canonical, Kimonas Sotirchos - Kubeflow Community Working Group Lead Artificial Intilligence and Machine Learning are hot topics these days, with more enterprises announcing huge investments in powerful computing hardwa... 3 months ago | 43 mins Load more