How do the best organizations innovate? Learn from industry leaders who use modern statistical techniques to gain a competitive advantage.
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Innovative Applications in Designed ExperimentsHear from three subject experts as they explore recent innovations within experimental design methods, provide insight into the utility of combinatorial testing in DOE, and discuss how applications of DOE in the aerospace industry can reduce costs and improve product quality.
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How to Choose a Chart Type (It’s Trickier Than You Think…)In this Statistically Speaking, Nick Desbarats shows examples of decision tools from his "Practical Charts" course that allow chart creators of any experience level to quickly and reliably make expert-level chart choices from among 50 common types.
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Statistical Strategies to Accelerate Development (Not Slow It Down)In this Statistically Speaking, Julia O'Neill uses the Quality by Design (QbD) framework for maintaining an accelerated timeline while satisfying reviewer expectations.
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On 100 Years of the Shewhart Control ChartIn this Statistically Speaking, we’ll learn from Bill Woodall and Annie Dudley as they provide a non-mathematical overview of process monitoring methods from their introduction by Walter Shewhart in the Industry 2.0 era to the challenges now faced in Industry 4.0.
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Statistical Reinforcement Learning for High-Risk Decision ProblemsIn this Statistically Speaking. Dr. Eric Laber explores the lesser-studied use of RL for high-stakes settings in which data volume is low and the cost of experimentation is high.
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Synergies of Designed Data Collection and Big DataIn this Statistically Speaking, Christine Anderson-Cook while she discusses Big Data and Designed Data Collection and the synergy between the two.
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The Same, Similar, or Different? The Probability of Agreement Methodology for Evaluating Practical EquivalenceNathaniel Stevens emphasizes the utility of collecting evidence in favor of equality rather than against it, providing an overview of the probability of agreement framework for evaluating data in this way.
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DOE: A Critical Component in the Data Scientist’s ToolboxFather-daughter duo Dr. Christopher Nachtsheim and Dr. Abby Nachtsheim discuss applications where DOE approaches have been successfully used for strategic development of synthetic data sets for test and evaluation of ML algorithms.
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The “What, Why, and How” of Generalized Linear Mixed ModelsWalt Stroup and Elizabeth Claassen discuss the history and development of GLMM and why they are important to researchers.
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The Art of Effective Statistical CollaborationDr. Julia Sharp and Dr. Emily Griffith discuss the art of effective statistical collaboration.
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Revolutionizing Sustainability Through Green ChemistryJoin us for a virtual discussion with Grace Lasker and Rick Morgan on sustainability through green chemistry.
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The Significance of Data Science EthicsHear from top researchers in the world of Astrophysics.
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Making Discoveries Easier with Design of ExperimentsJoin us for keynote talks and a panel discussion where we’ll simplify DOE.
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How to Get the Most Out of Machine LearningHear from leaders in the machine learning realm from Brewer Science, Abt Associates and SAS
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How Design of Experiments Can Transform the Way We InnovateFind inspiration in analytics success stories from Moderna, Roche Diagnostics and CPI
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What scientists and engineers can (and should) do with text dataText analytics advice from experts at the FDA, P&G and 1440 Consulting
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Lead strategic quality engineering initiativesQuality experts at GE Aviation, Deloitte and Schweitzer Engineering Laboratories highlight modern quality methods
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Why interactive data visualization is critical to industryMARELLI, Coloplast and Bluepharma make data visualization a central tenet of problem solving and innovation
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Applying machine learning to the right problems Speakers from Procter & Gamble and TEL Singapore on machine learning and automation
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Lead your organization to analytic excellenceHow P&G, Intel Corporation and Seagate Technology embed analytics throughout the organization
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The power of structured experimentation in science and engineeringMicrosoft, Riffyn and Corning use design of experiments to solve problems, create new products
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Why quality improvement is imperative in the big data eraXaar, NNE and IT&M Stats increase efficiency and effectiveness with modern quality engineering
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Solving science and engineering problems with machine learningRolls-Royce, Tata Steel and SABIC innovate with machine learning and AI
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The key elements of a data-driven cultureLearn how organizations like GE Gas Power make a business case for analytics projects and gather the right tools for success
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Achieve rapid innovation with design of experimentsHow companies like Johnson Matthey and F-star Therapeutics take advantage of structured experimentation