This document (including, without limitation, any product roadmap or statement of direction data) illustrates the planned testing, release and

AI and Visual Analytics: Machine Learning in Business Operations Steven Hillion Senior Director, Data Science Anshuman Mishra Principal Data Scientist

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Key Takeaways AI The rise of Artificial Intelligence and Machine Learning How we do AI at TIBCO Visual Analytics The importance of Visual Analytics AI and Visual Analytics Case Studies and Demonstrations 4

Artificial Intelligence

Machine Learning Machine Learning finds patterns in data without human intervention Supervised Model known problems: y=f(x) Build a model that predicts an observed condition What factors are driving failures? Issue: needs lots of labeled data Unsupervised Explore observed data: X only Understand structure, detect anomalies Are there new patterns or failure modes emerging? Big Data more labeled data (rows) / more columns Focus on important variables to explore Visual analytics on the important sub-space Dimension Reduction / Anomaly Detection Hi-Tech Manufacturing millions of columns > reduce dimensionality PCA Autoencoder Single Class SVM

AI at TIBCO: TIBCO Spotfire & TIBCO Enterprise Runtime for R Interactive Visuals & Geo-Analytics Data Mashup One-Click Web App Compute & Predictive Analytics Single File Spotfire Data Function Spotfire Expression

AI at TIBCO: TIBCO Statistica Data Science Workbench Statistica Data Science Workbench Data ingest, blending, in-db and in-lake processing 1000 s of stats, machine and deep learning Supervised Learning models, ensembles Unsupervised Learning anomaly detection Marketplaces Microsoft Azure ML, Algorithmia, Apervita Open source R, Python, C#, H2O, CNTK Deep NN Model & Rule Lifecycle Management Create workspace, manage, version, deploy, embed Repeatable, GXP validation, audit, version control IoT Dell Certified

AI at TIBCO: TIBCO Spotfire Data Science Connected Teams Collaborate on data science projects with business Scalable Algorithms Transform and model across data sources without moving data In-db and in-cluster Python Notebooks, PySpark Spark Auto-Tuning Web Visual Composition Rapid deployment in Cloud and on-premise Amazon, Microsoft Azure EMR, Amazon Redshift

Spotfire Visual Analytics

AI and Visual Analytics

Spotfire (7.x) Using AI: Visualization Recommendation AI for visualization best-practices Analyzes user s data and metadata in conjunction with heuristic rules. Users select variables of interest and Spotfire produces an appropriate visualization for the data. We Have Powered This Using ML! 16

Demonstrations Parking Citation Profiling Airline Delays