• Please, Horse, Drink: A Desperate Bid to Make Engineers Use Their Data (2026-US-30MP-2961) "We're not sure when the problem started exactly...""Well, have you looked at the data?"Frustrated by having to ask that question for the umpteenth time, even if only to a fraction of the team, the author set out to remove as many sources of friction as possible to accessing "the data" and exploring it in JMP. The solution: a set of JSL-powered GUIs that removed barriers, such as querying databases...
    Skill level: intermediate
  • Autotuning a PID Controller using Bayesian Optimization and JSL (2026-US-30MP-2947) Proportional-integral-derivative (PID) controllers are ubiquitous in industrial settings, used for such applications as temperature regulation, flow and level control, and motor control. Achieving optimal performance often requires careful manual tuning of the three PID parameters. In this presentation, we demonstrate automated PID tuning using Bayesian optimization, applied to controlling the angu...
    Skill level: intermediate
  • JMP and AI: Where LLM Integration Meets the Analytic Workflow (2026-US-30MP-2955) Scientists and engineers are being told to incorporate artificial intelligence (AI)-integrated strategies into their workflows. While there are many options available to do this, no one wants to sacrifice rigor or trust in the results just to say they're using AI.JMP’s value proposition remains unchanged: an interactive, end‑to‑end analytic workflow that supports exploration, modeling, and reportin...
    Skill level: beginner
  • From JMP to JMP Live: Deploying Automated Analytics Workflows (2026-US-30MP-2954) Many JMP users use workflow automation to repeat analyses, often without writing code. These automated workflows save time, improve consistency, and help standardize data analysis processes across teams. Tools such as Query Builder and Workflow Builder make it easy to automate key steps in the analytics life cycle – particularly data acquisition and data preparation. JMP Live extends these cap...
    Skill level: intermediate
  • Our JMP Live Adoption Journey: An Engineer-Led Path From Pilot to Scale (2026-US-30MP-2937) Day‑to‑day success as engineers depends on our ability to communicate reports with sufficient fidelity to the original problem statement and the resulting insight. For more than 35 years, JMP has enabled us to express engineering knowledge through rich visual reports that are interactive with the underlying data. Historically, however, our collaborators cannot follow our path of discovery unless th...
    Skill level: intermediate
  • On the Road Again: Using JMP Workflow to Identify U.S. Commuting Zones (2026-US-30MP-2876) Commuting zones were introduced in the 1990s as a geographic unit to help explain economic ties. They are not tied to population size (like metropolitan areas), so they can be defined for the entire country. Since their inception, the methodology used in their construction has remained unchanged. In this talk, I share my attempts to explore an alternative approach that uses more recent network clus...
    Skill level: intermediate
  • Ensuring Measurement Agreement with JMP for Reliable Veterinary Diagnostics (2026-US-PO-2936) IDEXX Laboratories, Inc. develops and delivers diagnostic solutions for companion animals, livestock, poultry, water testing, and dairy markets. Ensuring high‑quality, reliable diagnostic results requires rigorous evaluation of instrument accuracy and precision. This poster presents a case study on developing a JMP add‑in to streamline measurement agreement analyses and support timely decision...
    Skill level: beginner
  • Testing Complex Systems with Hard‑to‑Change Factors Using Covering Arrays (2026-US-PO-2953) Testing is a critical component of complex systems engineering, yet test engineers are rarely able to evaluate every possible combination of system inputs. Growing system complexity, limited budgets, and tight schedules demand more strategic approaches to test design. The challenge becomes even greater when certain inputs or factors are expensive or time‑consuming to change, forcing engineers to ca...
    Skill level: intermediate
  • Exploring Patient Patterns Within Population Trends in Treatment Response (2026-US-PO-2977) Pharmacokinetic (PK) and electrocardiogram (ECG) measurements from clinical trials provide critical insight into drug behavior and cardiac safety. PK data describe how drug concentrations change over time, while ECG data, particularly heart rate-corrected QT intervals (QTc), indicate cardiac risk. Both data types are longitudinal and are routinely summarized at the population level in ways that can...
    Skill level: intermediate
  • When the Question is 'Is It Comparable?', JMP Has the Answer (2026-US-PO-2964) Many modern manufacturing challenges are less a question of “Is it significant?” and more a question of “Is it comparable?”. This unique perspective, particularly in regulated environments, demands the flexibility of JMP’s recent statistical equivalency capability upgrades and JSL to answer always distinct, comparability questions. JMP can answer such customer questions as: How does equivalence com...
    Skill level: intermediate
  • IDEXX QueryLab Dx: From Natural Language to JMP Live (2026-US-30MP-2910) IDEXX QueryLab Dx introduces a new approach to expanding access to analytics by transforming natural-language questions into fully deployable analytical workflows within JMP. Rather than limiting AI to query assistance, this system extends the pipeline from intent to execution – generating governed SQL from structured data artifacts and automatically producing JMP Scripting Language (JSL) wrap...
    Skill level: intermediate
  • Deep Dive into Python, R Integration in JMP 19: Techniques and Interfaces (2026-US-30MP-2928) This presentation walks through the techniques and Python code found in the jmpex package's code, which is the code used to bridge between JSL and R using Python. It gives in-depth coverage of parameters passing between the three environments: JSL, R, Python. It also showcases the power of the JMP and Python integration, its design, techniques and hidden corners. Attendees are empowered to use...
    Skill level: intermediate
  • Less Writing, More Science: Automated Reports by Integrating JMP and Python (2026-US-30MP-2916) To support regulatory filings, the Process Characterization and Cell Banking group at Regeneron executes small-scale laboratory studies to generate characterization models. Historically, analyzing results and assembling reports has been a tedious, months-long effort, with final reports spanning hundreds of pages. By combining JMP’s scripting capabilities with Python, we have developed an automation...
    Skill level: intermediate
  • Modeling O2 Ingress During Barrel Aging: Automated Script and Model Detection Based on Kinetic Data (2026-EU-30MP-2828) The R&D team at Chêne & Cie has developed an innovative device enabling in situ and continuous monitoring of wine evolution within oak barrels. Among the integrated sensors, one specifically measures dissolved oxygen.To better characterize the barrel-aging process, it is essential to model the oxygen ingress events observed in our kinetic data. These events are typically marked by sharp pea...
  • Script Happens: Making JMP Scripting Language Learning Easy (2026-EU-30MP-2773) Learning a new programming language can be intimidating, but JMP provides tools for making this process easier. This talk discusses saving a script, the scripting index, the new JMP Assistant add-in, and integrating with Python. Whether you are learning JSL for the first time or learning a new platform, saving a script from a visualization or data table provides a great first step to insp...
    Skill level: beginner
  • Detecting Sudden Process Time Variations in a Semicon Fab using Non-standard Control Charts (2026-EU-PO-2840) This poster is about tracking how long wafers – the thin slices of material used to build chips – spend inside a piece of equipment during a specific manufacturing step. Essentially, we're monitoring the equipment's process time. Sometimes, due to maintenance or other production events, these times can suddenly change or "drift." Our main goal was to create a statistical method that could...
    Skill level: beginner
  • Data Analysis Automation to Extract High-Value Insights from Critical Measurement Technologies (2026-EU-PO-2856) This poster demonstrates how we are using JMP’s automation tools to extract key numerical values from data curves of measurements that are critical to Johnson Matthey (JM) globally. At JM, we employ different analysis techniques across R&D and production settings to understand and QC our products. Data access and transformation are necessary steps for conducting data analysis. These steps ...
  • From Fragmented Data to Real-Time Insights: A CPV Application for Advancing Pharma Quality Using JMP (2026-EU-PO-2794) In the pharmaceutical industry, there is a requirement to understand how a product performs throughout its lifecycle. This paper presents the Bausch Health CPV application – a multidisciplinary analytics solution developed in conjunction with KPA using JMP Scripting Language – to automate data integration and advanced statistical analysis for meaningful product understanding. Th...
  • Bridging Theory to Clicks: Two-Level Designs with Treatment Cardinality Constraints in JMP (2026-EU-30MP-2792) Modern experimental designs often face the so-called treatment cardinality constraint, which is the constraint on the number of included factors in each treatment. Experiments with such constraints are commonly encountered in engineering simulation, AI system tuning, and large-scale system verification. It calls for the development of adequate designs to enable statistical efficiency for modeling ...
  • How Airbus Standardized Industrial Geometrical Capability Assessment Across Sites (2026-EU-30MP-2854) Airbus manufacturing engineering teams regularly analyze measured deviations in manufacturing processes to ensure process and product quality. This analysis, called Industrial Geometrical Capability Assessment (IGCA), is a key enabler to support co-design with the design office. It involves grouping data into clusters and evaluating them over specific time periods. However, performing these assessm...
  • Transforming Console Logs into Actionable Diagnost (2025-JA-25MP-2575) 製造業、ソフトウェア開発、営業、金融など、あらゆる生産環境では、膨大な量のプロセスログが生成されます。これらのプレーンテキストのログには、システムの健全性を監視し、障害箇所を特定し、継続的な改善を推進するために活用できる貴重な情報が埋もれています。 このプレゼンテーションでは、JMPのDevOpsチームがどのようにして、非構造化されたコンソールログをJMPのデータテーブルに変換し、日々の診断用グラフをJMP Liveに公開するための自動化されたパイプラインを構築したかについて説明します。  
  • 素敵なスマイル:SMILES記法から化学特性を予測する (2025-JA-25MP-2678) 近年の定量的構造活性相関(Quantitative Structure–Activity Relationship, QSAR)では、機械学習を活用して高度なモデルを構築し、新しい分子の特性を予測する手法が用いられています。これにより、実験にかかる時間やコストの削減が期待されています。本発表では、JMP Marketplaceから Materials Informatics ToolkitとTorch Deep Learningのエクステンションを紹介します。これらのアドインでは、化学物質のSMILES文字列を処理するために、広く使われているオープンソースのRDKitパッケージを活用し、化学者がQSARを実行するための対話的で強力なワークフローを提供しています。本発表では、このエクステンションを使ったいくつかの例をご紹介します。
    Skill level: advanced
  • 開会のご挨拶/基調講演:イノベーションの拡大:エンジニアリング・ワークフローへのデータサイエンス統合 10:00~10:15:開会のご挨拶10:15~11:15:基調講演今日のエンジニアリングにおける課題は、もはや局所的な解決策だけでは不十分です。データサイエンスの手法をデータ分析のワークフローに組み込むための、拡張性が高く柔軟なツールが求められています。JMPの製品群は、統計解析、プロセス最適化、データ視覚化のための強力なプラットフォームを提供し、エンジニアが日々の問題解決を超えて活躍できる環境を創造します。このセッションでは、複雑で大規模な問題への取り組みに焦点を当て、JMPがどのようにエンジニアリング・データサイエンスを支援するかを深掘りします。あわせて、データアクセス、プロセススクリーニング、環境モニタリング、グループ別分析、モデル・応答スクリーニング、そしてJMP Liveとの統合といったツールに焦点を当て、JMPが多様なニーズにどのように対応するかを解説します。具体的な事例やデモ...
    Skill level: beginner
  • Enterprise Add-in Management Strategies (2025-US-30MP-2576) As JMP adoption grows across an organization there is, almost invariably, a point where the users begin to develop add-ins for broad adoption. This trend also generally leads to a discussion around how best to manage these add-ins. Many systems, using JMP itself or command line tools like Git, have been proposed, but can be unwieldy. In this session we demonstrate how tools buil...
  • Short Runs, Big Data, No Problem: A Control Chart Remix (2025-US-30MP-2585) As manufacturing processes grow more complex, so does the challenge of effectively monitoring the countless input and output parameters that drive quality and yield. Traditional control charts often fall short when faced with high-dimensional data or small batch sizes run across shared equipment. This session explores an innovative solution: a short run model driven multivariate control chart that ...