How do the best organizations innovate? Learn from industry leaders who use modern statistical techniques to gain a competitive advantage.
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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 Rise of Epidemic Forecasting & Multi-View AnalysisFather-son duo Dr. Robert Tibshirani and Dr. Ryan Tibshirani discuss why epidemic forecasting and multi-view analysis matters.
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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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How data visualization facilitates the analytic workflowAdvancing scientific discovery and innovation with leaders from Calico, Lundbeck and SAS
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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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Risks and rewards for organizations building a culture of analyticsFind inspiration in analytics success stories from ASM, BASF and Coloplast
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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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The essentials of machine learning and artificial intelligenceCorning, Solvay and Novozymes experts make the most of advanced analytics
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Developing a shared vision for analytic excellenceAnalytics champions from Dow, Unilever and Riffyn lead with a data-driven mindset
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Design of experiments: An essential tool for discovery and innovationSyngenta, Alvotech and FUCHS count on DOE to improve their science and engineering processes
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Find meaning with purpose-driven analyticsChange agents from many fields use statistics to solve pressing world issues
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Make dashboards an essential part of the science and engineering workflowTips on getting from data to decision quickly from NXP, SAS and Practical Reporting
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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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Fast-track innovation and process improvement with designed experimentsExperts from Mahle, Symrise and Allnex share why they use DOE
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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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Are big data and machine learning methods enough?Hear real-world examples about machine learning and AI from W.L. Gore, SAS and the author of Dark Data
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Intentional visualizations help untangle complex dataFrom policy to sports to environmental investigations — data visualization leads to insights
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Mission-critical advanced statistics for the defense communityLearn about machine learning and artificial intelligence, and their synergies with structured experimentation
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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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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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Expert guidance on making the most of machine learning Demystify the buzzwords and expand your toolkit
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Stay relevant and competitive with modern quality engineeringLos Alamos National Lab, Siemens Healthineers and Wolfspeed embrace automation and the rise of the digital economy
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Data visualization best practices can transform the work of scientists and engineersInsights from experts at W.L. Gore and SAS on how to gain momentum for your ideas and inform strategic decision making
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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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Leading companies innovate with statistically designed experimentsHear from Coherent, Lundbeck and Applied Materials
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Does your organization have a strategy for building analytic excellence?Learn from Haldor-Topsøe, Telefónica and other data-driven organizations