TIBCO Analytics Forum 2021

Last updated:
6:06am Mar 29, 2022
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TIBCO Analytics Forum - TAF 2022 - is the analytics industry gathering of the year! 
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TIBCO Analytics Forum (TAF) 2021 was an electric event with attendees and speakers from all over the world. Attendees learned new approaches, heard inspiring stories, networked with their peers, skilled up their abilities, and competed for prizes. The 2-day virtual event featured keynote speakers, customer & TIBCO breakout sessions, panel discussions, solution demos, product training and Hackathon activities.



TIBCO Analytics

TIBCO Analytics is a comprehensive insight platform for visualization, modeling, streaming, data management, and model ops. The following software was showcased at TIBCO Analytics Forum 2021:

  • TIBCO Spotfire - The most comprehensive visual analytics platform on the market with built-in data wrangling, predictive modeling, and real-time analytics
  • TIBCO Data Science - Collaborative advanced analytics platform, helping Data Scientists model, deploy, and scale AI/ML solutions across their organization
  • TIBCO Streaming - Enterprise-grade, cloud-ready streaming analytics for quickly building real-time applications at a fraction of the cost and risk of alternatives
  • TIBCO Data Virtualization - Enterprise data virtualization solution that federates access across multiple and varied data sources
  • TIBCO EBX - Master Data Management to govern all your data assets in one solution including but not limited to: workflow, data quality, and role-specific applications 


Keynote Sessions

Day 1 Keynote - TAF kicks off with a powerful line up of thought leaders and practitioners. TIBCO Chief Analytics Officer Michael O’Connell sets the stage, laying out a vision for the modern, analytics enterprise. He will chat with Ben Schneiderman about visual analytics and AI. Ben’s early work launched the visual analytics movement, and with it TIBCO Spotfire software. Their conversation will include Ben’s current work on human-centered AI. TIBCO COO Matt Quinn will share his perspectives on the role of analytics in TIBCO’s portfolio of products, and how interconnected software magnifies the impact of analytics across the enterprise. Ahmer Srivistava from Western Digital shares how the use of Spotfire analytics has transformed high-tech component manufacturing to meet growing demand.

Keynote: Hyperconverged Analytics on Any Data - Join the team of TIBCO product leaders on a fast-paced tour of capabilities across the data management and analytics spectrum. This highly-visual session will showcase the interconnectivity of solutions, their use, and impact. When combined with TIBCO’s data management tools, this expands these capabilities through TIBCO’s “Any Data” Hub. The result is “hyperconverged analytics” — essentially, a single pane of glass for extracting powerful insights from historical data, visualizing current live streams of data, and more effectively making faster, smarter decisions.  

Day 2 Keynote: Analytics Everywhere - Welcome back for Day 2 of TAF. After a quick recap, we will hear from a tremendous line-up of data-centric guests. First, Kate Strachnyi from DATAcated will discuss her work as an advocate of data analytics. And then, as the analytics partner to seven-time champion Mercedes-AMG Petronas F1, we’ll take a look under the virtual hood of what it takes to consistently dominate the racing podium.   

Dr. Spotfire Tips for Visual Perception - The face of TIBCO’s Dr. Spotfire program Neil Kanungo is joined by TIBCO Chief Analytics Officer Michael O’Connell for a discussion on visual design best practices and the science behind visual perception. Human perception of data values and patterns, the importance of accuracy and speed, and how to design visual applications to avoid optical illusions will be covered. You will come away with a greater understanding of visual analytics communication and tips to improve your own work. Michael will draw from his extensive work and his book on visual analytics best practices, A Picture is Worth a Thousand Tables.. Follow along using the app available at https://www.tibco.com/covid19 and read this blog post for context https://community.tibco.com/blog


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Keynote Speakers

Ben Schneiderman, Emeritus Distinguished University Professor, Department of Computer Science and Founding Director of the Human-Computer Interaction Laboratory, University of Maryland

BEN SHNEIDERMAN is an Emeritus Distinguished University Professor in the Department of Computer Science and Founding Director (1983-2000) of the Human-Computer Interaction Laboratory (http://hcil.umd.edu) at the University of Maryland. He is a Fellow of the AAAS, ACM, IEEE, NAI, and the Visualization Academy and a Member of the U.S. National Academy of Engineering, in recognition of his pioneering contributions to human-computer interaction and information visualization. Shneiderman’s information visualization innovations include dynamic query sliders and multiple coordinated windows for Spotfire, development of treemaps for viewing hierarchical data, and novel network visualizations for NodeXL. He has received six honorary doctorates for his contributions.
Ben is the lead author of Designing the User Interface: Strategies for Effective Human-Computer Interaction (6th ed., 2016). His forthcoming book on Human-Centered AI, will be published by Oxford University Press in early 2022.

Jana Marlé-Zizková, Co-founder & CEO, Meiro & SheLovesData

Avid data and diversity advocate, Jana headed teams and country operations at Estee Lauder, Sybase, Sas and Socialbakers. In 2015 she left the corporate career to start a data consultancy, soon followed by a Singapore based Customer Data Platform (CDP) tech start-up Meiro where she is the CEO. At the same time, Jana co-founded the non-profit movement She Loves Data. Since 2016 over 13,000 women have attended 150+ free data & tech workshops, certification programs and webinars. She Loves Data has chapters in 16 countries on 3 continents. She Loves Data received the 2019 “Diversity Initiative Award in Asia” by Women in IT. In 2008 & 2009 Jana was named one of the “Top 25 business women” in the Czech Republic and she is featured on the inaugural 2020 “Singapore 100 Women in Tech” list. Jana is a volunteering mentor of a non-commercial mentoring project for future female leaders My Odyssey. As someone with passion for uncharted territories Jana circumnavigated the world on a 38ft sailboat between 2003-2005.

Hamid Mehdizadeh, Director of Manufacturing Intelligence, Pfizer

Kate Strachnyi, Founder, DATAcated

Kate Strachnyi is the Founder of DATAcated, providing brand amplification for companies focused on artificial intelligence (AI), machine learning (ML), and data science. She’s also the founder of the DATAcated Academy – delivering training on data visualization best practices. She’s delivered several courses on data storytelling, dashboard techniques and visual best practices. Additionally, Kate is the host of the DATAcated Conference and the DATAcated On Air Podcast. Kate was appointed a LinkedIn Top Voice of Data Science & Analytics in 2018 & 2019. She’s the mother of two girls and enjoys running ultra-marathons and obstacle course races.

Ahmer Srivastava, Director, Memory Products Solutions, Western Digital

Ahmer has deep passion and experience for bringing together ideas, technology, and people to solve complex problems through software-driven manufacturing and advanced analytics. He currently spearheads strategic initiatives for big data analytics, visual analytics, and predictive analytics solutions for Western Digital’s NAND flash product engineering & manufacturing teams. With 20+ years of experience in high-tech manufacturing at IBM, Hitachi Global Storage, and SanDisk/Western Digital, he brings deep expertise in failure analysis and yield management, advanced analytics, and product management. Ahmer received a Bachelor's degree in Chemistry from UC San Diego and completed executive education at UC Berkeley, Haas School of Business.

Nic Rohart, Lead Vehicle Dynamicist | Mercedes-AMG Petronas Formula One Team

Nic began his career in F1 racing in 2005 with Williams Grand Prix Engineering Ltd., working on simulation and optimization of seamless shift gearboxes, hydraulic suspension components, brake balance shaping devices, and intercooler design for the hybrid turbo era. In 2013, he joined Mercedes AMG Petronas where he is now lead engineer for the Vehicle Thermal Performance group that provides car physics modelling and performance development including factory-based race support. He holds two Master’s degrees, one in Simulation & Modelling from the Ecole Polytechnique in France, the other in Automotive Engineering from the RWTH-Aachen in Germany.

Bob Moore, Senior Director, Field Applications Scientists | PerkinElmer Informatics

Bob Moore is the Director of Worldwide Field Application Scientists at PerkinElmer. He has over 15 years of Business Intelligence, Data Visualization, and Data Wrangling experience. Data Wrangling, in conjunction with visual analytics tools including the TIBCO Spotfire Platform, has been an area of focus for him over the last decade. He understands the value, need, and best practices around the process of data preparation as a critical step in the data visualization lifecycle. Prior to joining PerkinElmer Informatics, he held at the position of Vice President, Enterprise Analytics Presales at TIBCO Software.

Michael Swartz, VP, Research Informatics | PerkinElmer Informatics

Michael Swartz is Vice President of Research & Clinical Informatics at PerkinElmer Informatics. He is responsible for the overall software strategy. He is an effective with a unique combination of strategic planning, sales, operational, R&D, technology and domain experience. He came to PerkinElmer Informatics through the acquisition of CambridgeSoft where Michael was a pioneer in the Electronic Lab Notebook business.

David Totten, Chief Technology Officer, US Partner Ecosystem | Microsoft

David Totten is a leader in the Microsoft One Commercial Partner organization. The One Commercial Partner group manages field and partner integration and execution across specific disciplines, including technical capacity creation, practice development, partner profitability and experiences, and go to market investment areas. He has only recently moved to 100% partner focus, recently leaving his leadership role as the Americas Capability Lead helping to build digital transformation, industry, and technical sales skills for a workforce of over 5000 individuals and managers.
Previously, David was accountable for the United States’ go to market strategy for Office 365 across 18,000 accounts and 3,000 partners, blending all industries and verticals. He oversaw the Cloud Productivity value proposition, field and partner readiness, deployment programs, competitive intelligence, product evangelism and the customer experience across the entire Office 365 portfolio of solutions.
David joined Microsoft in 2004 as a product manager within the Server and Tools Product Group. Over four years, David held a variety of roles across products and services before transitioning to the US subsidiary as the Director of Anti-Piracy. He has served as an Account Executive, Licensing Sales Manager, and Sales Director before taking on full accountability for Office 365 across the US.


Michael O'Connell, Chief Analytics Officer | TIBCO

Michael O'Connell, Ph.D., is the chief analytics officer at TIBCO, where he helps clients with analytics software applications that drive business value. He has written a bunch of scientific papers and software packages on statistical methods. He also likes listening to electronic music; watching basketball, football and cricket; going to art galleries and walking around neighborhoods.

Neil Kanungo, Senior Data Scientist | TIBCO Software Inc.

Neil is TIBCO's Dr. Spotfire and a Data Scientist working with Spotfire. He loves to share stories of visual analytics, data science, real-time analytics, and building analytics apps.

Nelson Petracek, Chief Technology Officer | TIBCO Software Inc.

As the global Chief Technology Officer (CTO) at TIBCO, Nelson Petracek is helping to shape the development of TIBCO's emerging technology platforms and products. With over 20 years of experience, Nelson works to deliver solutions for the next stage of digital business, drawing upon his deep knowledge of cloud, blockchain, low-code applications, microservices, and event processing. A strong technology evangelist, he works with customers to identify and define the appropriate use of various technologies and architectures, and advises on best practices and information delivery patterns. Nelson received his Bachelor of Commerce in Computational Science from the University of Saskatchewan.

Matt Quinn, Chief Operating Officer | TIBCO Software, Inc.

Matt Quinn manages TIBCO's day-to-day operations and is instrumental in the growth and development of TIBCO's products and technologies, including the TIBCO Connected Intelligence Cloud. Formerly serving in executive roles including Chief Technology Officer and Executive Vice President, Products and Technology, Matt has spent more than 20 years with TIBCO leading large-scale transformations to organizational structure and product strategy. He received his BA in Computer Science and Masters of Applied Science Information Technology from RMIT University Melbourne.

Fred Studer,  CMO | TIBCO

Fred Studer is the Chief Marketing Officer of TIBCO. He's had a distinguished career in marketing, creative, and product management, with more than 25 years in the high tech industry. Previously, as the CMO of FinancialForce, he led the modernization of the brand, defined a targeted go-to-market model, and helped to dramatically improve marketing ROI and efficiency. Studer has also led worldwide marketing as the CMO of Gigamon and NetSuite, and before that, spent several years at Microsoft and Oracle. Originally from Denver, Colorado, Studer received his B.S. in accounting and finance from the University of Colorado Boulder and is a board member of the University of Colorado Leeds School of Business.

Arnaud Varin, Senior Product Manager | TIBCO Software Inc.

Arnaud is a Senior Product Manager for TIBCO Spotfire visualizations and visual analytics capabilities


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Customer Breakout Sessions

Pfizer: Digital Manufacturing Intelligence enabling the “Factory of the Future” vision at Pfizer, Hamid Mehdizadeh, Director of Manufacturing Intelligence - In this session you will learn about Pfizer’s pathbreaking efforts to become an AI-driven organization, utilizing an innovative Manufacturing Intelligence Workbench concept, designed with the goal of driving IT/OT convergence across the interconnected network of manufacturing sites, providing real-time access to data from all sources, and enabling scalable and accelerated AI/ML deployments in support of manufacturing operations. The MI Workbench enables Pfizer manufacturing sites to achieve “Digital Plant Maturity” and the “Factory of the Future” vision by becoming more predictive and adaptive and empowering the shop floor. This cloud-based platform provides high performance environments to develop and deploy a myriad of analytics capabilities, including advanced web-based dashboards and reporting tools, real-time multivariate monitoring and control, golden batch analysis, digital twins and soft sensors, and AI/ML-based predictive models. 

GE Aviation: Building a Self-service Data Analytics Foundation - Jonathon Tudor, Senior Director Enterprise Products - Building an innovative self-service foundation requires more than just providing access to data, tools, and training. It takes a partnership across IT and the business where folks work in cross functional teams to collaborate and share a common strategy. This foundation is an iterative process that is constantly being refined. Jonathan Tudor of GE Aviation will talk about how this journey began and how it’s grown. 

Hospital Universitario Lucus Augusti (HULA) - David Baltar Boilève, Data Scientist and Business Analyst: The Smart Hospital: Improving Cancer Care by Understanding the Patient Journey - Healthcare organizations are more and more challenged by limited budgets and increased care needs. Identifying process improvement is one approach to tackling this challenge. Monitoring and improving from increasing volumes of health information system data is a golden opportunity. In this session, you will hear from David Baltar Boilève, data scientist at Hospital Universitario Lucus Augusti (HULA), a medium sized hospital in Galicia, Spain, describe an important collaboration project with TIBCO. HULA and TIBCO are reviewing patient and department data using a process mining technique to develop insights into the underlying process and accelerate the patient journey. The goal is to provide input into investment decisions and achieve specific patient care improvements.

Slides: PDF iconfinal_-_taf_webinar_hula_2021.pdf  

Hemlock Semiconductor: Care & Feeding for a Successful Analytics Culture - Kevin Britton, Senior Strategic Project Leader - Successful analytics deployment requires focusing not just on data and tools, but also on the people that use them. Leveraging Hemlock Semiconductor’s successful deployment of TIBCO Spotfire and TIBCO Data Virtualization software, this session discusses strategies for building an analytics culture  and overcoming challenges along the way. Topics include centralized vs. decentralized approaches, leveraging early-adopters, benefits of unpolished data, adapting skill development to meet users where they are, and modifying your approach as the enterprise matures.

Slides: PDF iconhsc_-_care_feeding_for_a_successful_analytics_culture_annotated.pdf  

Bayer: Data Science for Sustainable Agriculture at Bayer Crop Science - Sami Cheong, Data Science Technical Lead - In this talk, we’ll take a tour of the data science community at Bayer Crop Science, starting with an introduction to who we are, what we stand for, and what our Women in Data Science organization is all about. In the second part, we will visit a data science use case that uses Bayesian spatial hierarchical modeling to help our research and development pipeline better make advancement decisions for seed treatment products. Specifically, we will introduce examples of our experimental trials, data challenges, insights from visualization, as well as innovation in modeling techniques that helped us gain important insights about working with large scale experimental data. 

PDF iconSlides   

Birchcliff Energy: Leveraging the TIBCO Stack to Develop Value Driving Energy Apps - Lee Grant, Supervisor Strategic Planning & Business Intelligence - This talk explains how Birchcliff Energy uses TIBCO products to build fit-for-purpose applications that are suitable for our evolving technical needs. Two case studies  will show how we use Python and Spotfire, TERR,  and TIBCO Data Virtualization software to build energy applications: (1) A Spotfire application that enables a user to featurize fracture-driven interaction (FDI) events with high precision. The app uses closed loop data flow by leveraging TERR algorithms to produce custom features and write them back to a SQL database. (2) Expanding the capabilities of a commercial physics simulator with Spotfire analytics and Python, this app allows our experts to further visualize and dissect the data beyond what is offered within the third-party tool.

Slides:  PDF iconbirchcliff_-_leveraging_the_tibco_stack_to_develop_value_driving_energy_apps.pdf

Intel: Computer Vision at the Edge - Bradley Corrion, Director, Strategic Architecture - Join this session to learn how the joint integration between TIBCO LABS’s Project AIR and Intel’s Video Analytics Serving (VAS) Framework can be used for real-time sensor fusion scenarios.  Machine learning algorithms at the edge are being applied to streaming data and computer vision feeds for inferencing purposes and for taking immediate action on specific events. Learn how to easily extend this flexible platform to address a wide range of scenarios and use cases, such as self checkout and loss prevention in retail. 

Slides:  PDF icontibco_taf_presentation_2021_vfinal_no_demo.pdf


Biota Technology: Holistic Data Integration of DNA Diagnostics for Sustainability in Oil and Gas - Matthew Haggerty, Senior Data Scientist - The energy industry integrates diverse datasets to explore the earth's subsurface. Biota uses the TIBCO Spotfire platform to leverage machine learning tools and generate a digital oilfield in a set of comprehensive dashboards. Reviewing DNA diagnostics holistically in the digital oilfield has produced profitable insights with increased sustainability. Spotfire dashboards have enabled Biota to support customers in achieving their goal of contextualizing data to make multi-million dollar decisions.

Slides:  PDF iconbiota_taf21_presentated_2021_04_23.pdf

Bayer: TIBCO Spotfire for Advancing Best Seed Varieties into the Market - Sreelatha Sunkagari, Data Governance and Visualization Manager - As a world leader in life sciences, Bayer uses large amounts of data from diverse sources to drive critical business decisions. The ability to easily access this information and generate effective visualizations is key to ensuring these decisions are accurate, on time, and dependable. Within Bayer's Crop Science division, we use Spotfire analytics as part of a robust data strategy. Use cases include: tracking when and what data to collect from testing fields, checking quality of the data collected, and promoting the best varieties to the market.

Slides: PDF iconbayer_seed_varieties_tibco_spotfire.pdf 

Texas Instruments: Actionable Insights Using TIBCO Spotfire at Texas Instruments - Toni Ray, Application Developer - Texas Instruments uses Spotfire software for advanced analytics across the company — manufacturing to sales — enabling stakeholders to aggregate and analyze vast quantities of data. This session will highlight two examples of the creative delivery of advanced and actionable insights to TI’s sales and pricing organizations. We will dive into the tool architecture and how the combination of scripts, data modeling, procedures, and tagging of a visualization drives specific actions across TI.

Slides:  PDF iconactionable_insights_using_tibco_spotfire_at_texas_instruments_final.pdf

Petrobras: Interactive Visualization of Well Logs for Better Reservoir Characterization - Rodrigo Mantovaneli Pessoa, Data Analyst - The Oil & Gas industry is constantly looking for improved ways to characterize reservoirs using analytics of complex well logging datasets. Well logs provide detailed records of the geological formation penetrated by a borehole--and are used for a variety of investigations including geotechnical and environmental evaluations, mineral exploration, and extraction of liquids (water, petroleum, or gases). The data is used by geologists for visual analysis of core samples, by geophysicists to measure physical properties, and by engineers for calculating physical properties. Learn how Petrobras Brazil changed its game using the TIBCO Analytics Platform to enable all the users to complete end-to-end analysis of log data using custom visual analytics.

Slides: PDF iconvisualization_of_well_log_data_v8.pdf 

Keysight Technologies: Spotfire Data Loading: Hybrid Strategies for Optimal UX - Paul Jones, Senior Data Scientist - Designing the flow of data from complex datasets into actionable information in the form of the fast-loading Spotfire analysis requires a combination of techniques. Through a series of case studies, this session will highlight some successful strategies involving Python scripting, Spotfire Automation Services, advanced information link design, web caching, and data virtualization.

Slides:  PDF icontaf_keysight_data_loading.pdf

Western Digital: Spotfire at Western Digital’s Wafer Factories - Andrew Choo, Data Management Engineering Technologist - Over the last 8 years, Spotfire analytics has become the standard platform used by Western Digital engineering and operations to view and analyze manufacturing operational data. At wafer factories in Silicon Valley, the use of Spotfire software as the data analytics and visualization standard for factory operations has grown considerably. We will look at this integration in terms of architecture, data infrastructure, user groups, and business processes over three time periods and showcase solutions that made it possible to significantly increase efficiencies in the way we work. These use cases cover yield analytics, metrology, sensor data, and operational metrics described from the perspective of purpose, implementation, benefits, and differences with and without Spotfire software. 

SlidesPDF icontibco_taf2021_western_digital_presentation.pdf 

SM Energy: What Spotfire Users Want to Master - Julie Sebby - The Internet has spoken, and Spotfire users want to learn more about document properties and IronPython. This presentation will explore my three most popular YouTube/blog posts. We’ll look at how to use IronPython to toggle between filtering schemes, how to export to Excel with IronPython, and how to use document properties to control data, limiting by expression. See real scripting and solutions that can be applied directly to your own projects.  


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Sponsor Breakout Sessions

IHS Markit: Inform critical decisions about reservoirs with Analytics Explorer - Toby Burrough, Senior Technical Advisor - IHS Markit has extended Spotfire capabilities to gain insight into the vast set of energy data available in today’s market. Using proprietary connections and fit to purpose analytical workflows, O&G operators and finance companies throughout the world have utilized the connection from IHS Markit into Spotfire to make critical investment decisions in the energy sector. In this session we will illustrate how machine learning workflows, coupled with IHS Markit data and Spotfire, can provide insights into remaining areas to drill new wells, increase production and identify the best completion strategy for upcoming projects.

Syntelli: The Future ofAnalytics: Trends in Digital, Data, and Analytics - Shikha Kashyap, CEO, healthinsights.ai - Rishi Bhatnagar, CEO, Syntelli - Kevin Pedde, Principal Consultant, Syntelli - Join us as we discuss the latest trends in data and digital, including the next wave of augmented analytics technology. Explore how St. Francis Hospital of Hartford leveraged Surgery Insights to optimize surgical capacities like never before.  

Enertel: Building High-Impact Visual Analytics - Jonathan Henderson, Chief Analytics Officer - As the ERCOT power crisis unfolded, Enertel synthesized large amounts of API data to conduct a deep dive into root cause analysis.  By leveraging visual continuity and data viz best practices, Enertel created a dashboard that is both
interactive and visually appealing, while providing end users the ability to interrogate all of the data and come to their own conclusions. Learn how this was done through best practices and unique how to customizations of Spotfire components to enhance visual analytics. 

Genware/DataShack: Hyper-Converged Analytic Process Performance in Manufacturing - Sherlock Holmes, President, Genware - Anni Toner, Chief Data Scientist, Data Shack - Tim Crocker, Solutions Consultant, Genware - The Connected Production Platform provides manufacturers and producers with Hyper-Converged Analytics required for a Next Generation Intelligent Digital Plant, along with a Blueprint which processes source data, applies predefined machine learning models, and includes advanced analytics, all in support of predicting. Learn how this platform provides access to data to monitor live performance across the entire plant value stream, utilizing Six Sigma Methodology.  

BCT: Geodatafy: A Platform for Data Discovery and Integration - Dave Barnett, Product Development Manager, Bahwan Cybertek - Clay Harter, Bahwan Cybertek, CTO Oil and Gas - In a typical oil and gas company data takes many forms. It is stored in a variety of vendor projects, in corporate databases, and as unstructured documents scattered across file systems. The data sources may be either on premise or in the cloud. The Geodatafy web application enables users to easily search across all sources to discover relevant data. Spotfire visualizations are then launched based on the selected data. A data quality module allows one to score data based on customizable business rules and matching data may be “blended” to create “golden” records.  Quality data may then be transferred between different vendor projects or transferred to a data warehouse to drive analytics workflows. 

Arria NLG Overview and TIBCO Spotfire Integration Demo - Lyndsee Manna, SVP, Strategic Partnerships - Cathy Herbert, Sr. Vice President of Customer and Partner Enablement - Bryan Zwahlen, SVP of Customer Success and Partner Relations - Arria Natural Language Generation (NLG) is an advanced AI software system that can analyze complex datasets and automatically write reports explaining what that data means in natural language. The report capabilities of Arria NLG are so advanced, each report reads as if it was written by a human subject matter expert – specified for the reader of the report.

In this session, we’ll cover who we are and how NLG works. Additionally, we’ll be demonstrating an Arria NLG integration for TIBCO’s Spotfire solution in a use case format. Finally, we’ll show the value that NLG provides to multiple types of data driven environments, such as HR management, clinical study reports and more. 


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TIBCO Breakout Sessions

Enterprise Reporting and Distribution with WebFOCUS - You may think you know what TIBCO WebFOCUS software can do for your business, but prepare to be surprised. In this real-world look at WebFOCUS advanced capabilities, you’ll discover how it can help transform your business. This drill-down demo explores the interactive capabilities of WebFOCUS data preparation, collaboration, custom dashboard development, and content sharing across your organization. You’ll see how it enables users to access just the features they need, wherever and however they need insight, securely and with proper governance. Enabling advanced use cases, WebFOCUS software allows you to build predictive models and then publish them so that even non-technical users can embed advanced analytics into their business processes. 

Spotfire and Python: Convenient Python Functions for Everyone - Get ready to get even more from Spotfire analytics in this best practice / advanced practices session. Python is closing the gap with Java, remaining #3 in the world’s most popular programming languages. The Spotfire solution has provided native support for using Python for machine learning and other advanced analytics using its data functions, so you get very tight integration between advanced and visual analytics. It helps to build easy to use analytic applications for business users using the extensive Python library of advanced analytics capabilities. Learn the advanced practices you need to integrate Python into your Spotfire instance, as well as the latest Spotfire capabilities related to Python.  

TIBCO LABS: The Power of the Future Today, for the Fourth Industrial Revolution - IoT continues to fuel the fourth industrial revolution, transforming many enterprises into digital businesses and facilitating new business models. As edge devices improve and become more capable, IoT data processing is best accomplished with simple-to-use tools well integrated into a single platform. The TIBCO LABS Project AIR solution enables centralized access and management of IoT devices, efficient processing and storage of IoT derived data, and support for running analytics both at the edge and in the cloud. These capabilities make the edge a seamless part of your digital transformation program and reduce the time needed to automate key decisions. There are additional TIBCO LABS projects that can help speed your organization’s digital transformation, and we’ll touch on them as well.  

Analytics in Manufacturing: Putting the Connected Digital Factory into Practice - Move from reactive to proactive management of products, processes, and machines by making the connected, real-time digital factory a reality. We will demo many manufacturing hyperconverged analytics solutions that bring together TIBCO's capabilities in data virtualization, analytics, data science, streaming, and edge. See what is happening now, predict what will happen, and act to optimize results. Automatically detect and classify failure patterns. Continuously relate failure patterns directly to machine sensor data. Monitor and alert on process and product parameters. Deploy machine predictive maintenance and anomaly detection. Create a 360-degree real-time map of overall equipment effectiveness metrics with drill-down to equipment, sensor metrics, and anomalies. 

SlidesPDF iconhyperconverged_analytics_in_manufacturing_v3_distn.pdf  

Authoring content in WebFOCUS - WebFOCUS has deep and wide functional BI and reporting capabilities that support multiple industry sectors and usage scenarios. In this session we'll review the full spectrum of content creation capabilities spanning data preparation, visual analytics, enterprise reporting and portal deployments. Case studies from the Financial Services and Manufacturing will be highlighted. We will also show how the platform offers modern content creation and consumption experiences for developers, business analysts and consumers.  

Innovation at the Speed of Formula 1 #TIBCOFAST - Formula 1 racing sits at the apex of motorsports. Behind the world’s most talented drivers lies an incredible analytics capability that forms the foundation of nearly every decision made throughout a season. From mirroring cars with digital twins, optimizing car configurations, modeling thousands of laps   around the world, finding ideal spots to accelerate and overtake, to real-time mid-race decision-making, data is the real fuel of F1. In this fireside chat, Michael O’Connell will share how TIBCO powers the seven-time F1 world champion, Mercedes AMG Petronas racing. 


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Ethical and Accountable Considerations for AI and Machine Learning - When thoughtfully designed and implemented, AI can promote business growth, increased employment, and benefits to society. To realize the potential of AI for human good, as analytics practitioners and data scientists, we need responsible, accountable, transparent, unbiased AI. With a machine learning (ML) platform that supports a proper ML flow, achieving this trust and transparency is possible. In this panel, we’ll discuss current technological and cultural  issues in AI and explore ways in which proper dataset assessments and ML platforms can be used to reduce bias and improve outcomes. 

The Changing Face of Analytics: Better Insights and Outcomes with Women in Tech - According to leading analyst groups, gender diverse and inclusive teams outperform more homogeneous teams by 50% on average. How can organizations recruit, hire, develop, and retain the gender diverse analytics and data science teams needed to outperform competitors? In this lively discussion, a select panel of women leaders in analytics and data science will share their experiences and insights on what gender-diverse teams bring, how to source talent, and how to create a culture that supports innovation, diversity, and equity for better business outcomes.  

The Open Group OSDU™ Forum: Building for the Future of Subsurface Innovation - In this panel, leaders from The Open Group OSDU™ Forum will discuss the process and progress of developing a standard data platform for the oil and gas industry. Data is fueling subsurface innovation, yet getting the data into a format that enables novel analytical approaches and enables end users to focus on using novel data insights to solve problems is a key challenge. You’ll learn how, by reverse engineering processes with customers and partners, the vision of the OSDU Energy Data Platform has stayed closely aligned to practical realities and needs for subsurface analytics.  


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Data Management Products & Technologies


Data Quality with TIBCO Omni-Gen - Learn how to use Omni-Gen DQ tools to understand and improve your data across the data quality lifecycle in this "day in a life" session. Take a how-to deep dive into profiling data and prototyping, building, and testing rules. The role of the data steward in the data improvement process will be set in the context of how to use the tools to enable out-of-the-box workflows for stewardship and governance. You will also learn how to manage and maintain what you build in an enterprise runtime environment.

Accessing Multiple Hybrid Data Sources with TIBCO Data Virtualization - Build and manage virtualized views and data services that access, transform, and deliver data your business requires to accelerate revenue, reduce cost and risk, and improve compliance. Remove bottlenecks and enable consistency and reuse by providing all data on demand, and in a single logical layer that is governed and secure. Learn how TIBCO Data Virtualization software serves a diverse community of users including data stewards, engineers, analysts, and architects.

Govern, Manage, and Consume All Shared Data Assets with TIBCO EBX - TIBCO EBX software makes it easy to manage your critical data assets and simplifies multidomain master data management by providing a comprehensive approach to modeling, governing, and managing your shared data assets. Manage domains such as products, customers, employees, suppliers, financial hierarchies, reference data, metadata, and more, in a single unified solution.


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Analytics Products & Technologies

Overview - Demonstrations of the latest technical innovations in the TIBCO analytics portfolio, including new visualizations and machine learning in Spotfire, and the new TIBCO WebFocus.  

Business Analytics and Reporting with TIBCO WebFOCUS - WebFOCUS is a leading solution for large scale, customer-facing analytics and reporting. Learn how innovative WebFOCUS customers use the convergence of modern and traditional BI to differentiate offerings, gain competitive advantage, and grow their businesses by delighting consumers.

Extending the Visual Palette with Spotfire Mods - TIBCO Spotfire Mods is the new, lightweight JavaScript visualization framework for Spotfire applications. Learn how you can easily create and add new charts and controls and share them with other users. Mods behave exactly like native Spotfire visualizations, and are governed and secure. This session shows the latest mods—box plots, networks, and more—and shows how they support real-world use cases so users derive maximum value from Spotfire analytics.

Accelerating Data Science with AutoML and Model Explainability - Machine learning models play a vital role in business problems such as fraud detection, customer churn, predictive maintenance, and many others. See how using model explainability and automated machine learning (AutoML) can jumpstart the process while still providing transparency. We provide a tour of our latest AutoML techniques, including use of text variables with explanations of how they affect your models.

Geoanalytics Tips for Powering Spatial Insights - Immerse yourself in the power of geoanalytics from TIBCO. Use Spotfire software to transform the geographical components of your data—country, state, city, or GPS coordinates—into rich, interactive maps for instant insights with fast drill down. Add more context to your maps and find location-based patterns by including other data sources and adding multiple layers of data to the map. TIBCO has been a leader in self-service geoanalytics for years. Learn about our latest capabilities and improve your efficiency and bottom line.

Machine Learning Automation in Spotfire with AWS SageMaker AutoPilot - Make machine learning accessible across the workplace. TIBCO’s new AWS SageMaker AutoPilot integration with Spotfire analytics provides powerful autoML capabilities for both data scientists and business analysts. Our solution lets AWS optimize the model creation process and package the best model ready to explore in Spotfire applications. Using our model explainability analysis and auto-generated visualizations, gaining AI-backed insights has never been so simple!

Edge Analytics with Computer Visión and Augmented Reality - A picture is worth more than a thousand words. Computer vision (CV) is the field of artificial intelligence that enables analysis of real-world images and videos, often in edge environments where equipment and IoT devices are installed. Deep learning models can accurately identify and classify objects from digital images, videos, sensor data, and suggest interventions such as equipment maintenance. Attend this session and learn how to achieve end-to-end solutions for your organization by analyzing sensor data and images in edge, AR, and VR environments.


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Hyperconverged Analytics in Operations

Overview - Data science projects need diverse technologies united in a single collaborative environment. We call this Hyperconverged Analytics. See examples of end-to-end data science in manufacturing, energy, and finance.  

Pattern Classification of Images with Human-driven Machine Learning - Identifying patterns of interest in big data is complex, but critical to high-value manufacturing use cases. Don’t drown in data. Explore TIBCO’s novel approach to big data pattern recognition as applied to semiconductor wafer maps. Using a combination of machine learning techniques, you'll see how users can identify patterns quickly and accurately from a large amount of data. Using these patterns, Spotfire users can train and deploy a model to classify new wafers in real time.

For more information:

Process Control, Monitoring, and Alerting in Operations - Quality control systems widely used in Energy, Healthcare, Manufacturing, Pharma, and Telco, apply statistical methods to monitor and reduce the variability of measured processes. Learn how an easily configurable quality control solution built with Spotfire and TIBCO Data Science software can monitor large numbers of parameters and produce automated alerts when rules are violated. See how data is visualized in linked Spotfire dashboards, and how TIBCO Data Science software is the calculation engine supporting rules, alarms, and alerts.

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Hyperconverged Analytics in Sustainable Energy - Solar energy is the world’s fastest growing electricity source. Energy teams use TIBCO’s Hyperconverged Analytics platform — TIBCO Data Science, TIBCO Spotfire, and TIBCO Data Virtualization software — to create time series models and heat maps that identify optimal locations for solar farms. The analyses enable infrastructure planning in energy, manufacturing, and other verticals. We’ll demonstrate a dashboard that uses several data sources to forecast energy production so that solar and wind farm planners can make decisions from projected outputs.

Analytics and Data Science for Risk Management - Risk—from credit card fraud to machine failure and cargo mistreatment—affects many industries. Using TIBCO Spotfire and TIBCO Streaming software, the TIBCO Risk Management Accelerator allows non-experts to analyze events in real time. Our dashboard evaluates any transactional or event dataset with machine learning models and generates a prediction of risk. Beyond easy-to-use predictive power, further insight is provided by quantifying the factors influencing risk and providing tools for making trade-offs based on the likely cost of various actions.

Digital Twins for Manufacturing Product Yield Optimization - The convergence of IoT, machine learning, and big data technology has given rise to the digital twin—the generation of digital data to represent a physical object. Using the growing volumes of data from process equipment sensors, these digital twins are becoming key to efficient operations and high product yields as process complexity increases. This demo provides an example of a semiconductor manufacturing digital twin for product yield that detects associations between yield loss and thousands of machine sensor traces.

For more information:

  • Watch this 30 minute webinar that includes the demo, adds context to the use case and presents performance results for the solution    

  • Read this Whitepaper

  • View this slide deck

  • Read this overview blog that features the system architecture

  • Read this technical blog that details the TIBCO Data Science visual workflow powering this work and how it is integrated with Spotfire via a data function. 

TIBCO Streaming Analytics in Operations - TIBCO accelerators jump start building end-to-end analytics solutions. See what’s new and watch a demo of the TIBCO Intelligent Equipment Accelerator. You'll learn how to capture and analyze IoT sensor data in real time and integrate using industry-standard protocols like OPC UA, OSI PI, MQTT, and Web Services, or build your own. In addition, how to apply custom validations, cleansing policies, rules, and feature statistics to data feeds to identify trends and gain insight, and how to use real-time model execution for anomaly detection and classification.


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Practical Applications of Analytics

Overview - See real-world applications of TIBCO Spotfire, TIBCO Data Science, and TIBCO Streaming. Examples include anomaly detection, demand forecasting, energy production — and cycling!  

Visual Data Science Apps with Python and Spotfire - Python has become the lingua franca of data scientists with its extensive machine learning and statistical packages. Now all this power can be embedded directly into interactive business applications and shared across the team with the Spotfire fully managed Python integration. In this session, we cover how you can use techniques like correlations, random forests, and NLP directly within Spotfire dashboards for a diverse array of applications from customer segmentation to sales forecasts to sentiment analysis of support calls.  

Time Series Analysis for Understanding Customer Engagement - When engaging with an organization, people tend to exhibit behavior patterns over time, for example, when browsing a website, buying products, or using electricity. Understanding these patterns can help companies better serve customer needs or identify interesting anomalies. See how TIBCO used powerful machine learning to understand patterns of electricity consumption, and learn how time series analysis can be applied in a variety of scenarios across industries to understand customer behavior.  


Demand Forecasting for the New Retail World - Demand forecasting is important for planning in Banking, Energy, Retail, and other industreis. In this demonstration, we showcase a retail example to predict future demand. With its sophisticated modeling tools, see how Spotfire analytics can spark insights into changing customer demand and trends. Visually inspect and decompose time series data and create forecasts using historical data and both traditional and the latest modeling techniques from open source libraries.  

The Analytics of Cycling with Team TIBCO–Silicon Valley Bank - This demo is for fans of cycling, women’s athletics, teamwork, and/or Spotfire software! Celebrate the launch of the 2021 cycling season with the longest-running professional women’s cycling team in North America. TIBCO created a Spotfire dashboard that tells the story of each major race with multiple riders in one view and sensor metrics such as power, heart rate, and altitude. The explainer video with Team TIBCO-Silicon Valley Bank cyclist Lauren Stephens tells the story of the team effort at the Tour of Flanders 2020.  


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Overview - Learn how you can interact with other members of the TIBCO Community and with TIBCO's own team of data scientists. We'll take you on a guided tour of solutions, tutorials, discussions and so much more!  

Gartner Peer Reviews/ Insights - Gartner Peer Insights is a great resource for customers to leave us feedback on their experience with our people and products via an online review. The first 50 reviewers will get a gift card, so make sure you watch this video to leave the best review you can. Click the play button to watch the video on the main player.  


Grow Skills and Network in your TIBCO Community - Take a tour of your TIBCO Community with an introduction to the world of enablement and continuous learning. The Community is a place to connect with peers and TIBCO experts. Learn how easy it is to get access to community.tibco.com to ask questions, download templates or contribute ideas. Also discover how you can stay informed on product releases and get Tips & Tricks through our YouTube and other social channels, as well as the popular live webinar series Dr Spotfire and Dr Data Science.  


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This year’s hackathon focused on analyzing wind power production in Texas. The year 2020 marked a record year for the global wind industry. Participants used real-world data from multiple sources like Electrical Reliability Council of Texas (ERCOT) and the National Oceanic and Atmospheric Administration (NOAA) to model wind power production from weather patterns and wind farms’ metadata. 

For more details and to view the winning submissions, see the TAF21 Hackathon in Review blog post


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