Welcome, Introduction, and Objectives for this Event

Speaker: Jim Ryan, VP Global Academic Program, Altair

Length: 11 Minutes

Abstract: This introductory session recognizes the achievements of Altair’s global community of Citizen Data Scientists and outlines the day’s agenda. It highlights notable customer success stories in data analytics and AI/ML, and points attendees to helpful online resources—especially for Altair RapidMiner—to support both new and experienced users in expanding their skills and pursuing certification.

Empowering Non-Technical Executives Through Data Science Tools

Speaker: Dr. Michelle Banawan, Assistant Prof, Asian Institute of Management, Philippines

Length:  20 Minutes

Abstract: This session demonstrates how Altair® AI Studio helps C-suite leaders make informed decisions by making data insights accessible and actionable. Dr. Michelle Banawan will show, through real-world examples, how non-technical executives can use no-code tools to shape business strategy, manage data governance, and implement predictive analytics. Attendees will learn how to build a data-driven culture and understand the value of integrating predictive models and transparency into decision-making.

Process Monitoring & Control - Converging Data and Engineering Science

Speaker: Dr. Sam Ramrattan, Foundry Educational Foundation Key Prof, Western Michigan University

Length: 23 Minutes

Enabling Everyone to Create Value from Data: Our Vision for the Altair RapidMiner® Platform for Data Science and AI

Speaker: Ralf Klinkenberg, Sr. Director Data Science Research, Altair

Length:  21 Minutes

Abstract: Altair’s vision is to enable everyone to create value from data by leveraging Data Science, Machine Learning (ML), and Artificial Intelligence (AI) by providing easy-to-use tools, intelligent assistants, automation, and enablement resources. Ralf Klinkenberg presents the vision of the Altair RapidMiner platform, the tools this platform offers, educational resources, research projects using the platform, and example application use cases of how to create value with data analytics and AI.

Altair® AI Studio in Social Media Marketing and Marketing Analytics

Speaker: Dr. Maria Petrescu, Associate Prof of Marketing, Embry-Riddle Aeronautical University, USA

Length: 17 Minutes

Abstract: Altair AI Studio equips students with practical skills in marketing analytics by providing a no-code platform for analyzing social media data and building predictive models. Through hands-on experience with clustering, ad performance analysis, and conversion optimization, users learn to segment audiences, assess campaign effectiveness, and make informed decisions to improve marketing strategies.

LIMANG TAONG PANGINGISDA – Our Multi-Year Quest to Empower Every Student at Our University, Across All Disciplines, to Learn and Benefit from Data Science

Speaker: Dr. Arturo J Patungan Jr., Assistant Prof, University of Santo Tomas, Philippines

Length: 13 Minutes

Abstract: Dr. Arturo Patungan, Assistant Professor at the University of Santo Tomas, Philippines, describes his approach to teaching Data Science and Analytics as “pangingisda,” meaning “fishing.” This metaphor highlights his method of engaging students from different disciplines and encouraging them to explore how data science and analytics can be applied in their fields.

Classification of Animal Types (Zoo Database PC-Beagle Program) Using Decision Tree Algorithm in Altair® AI Studio

Speakers: Dr. Bharti Sharma, Senior Instructor, Dean's Distinguished Teaching Fellow, FAU College of Business, USA

Length: 26 Minutes

Abstract: This presentation will guide attendees through the complete supervised machine learning process—from data cleaning and handling missing values, to building multiple decision tree models, selecting the best performer, and deploying it for predictions on new datasets. Designed as a practical teaching resource, it enables educators to assign hands-on exercises that help students understand and apply essential machine learning concepts.

Boosting Financial Market Insights with Altair® AI Studio Anomaly Detection

Speaker: Dr. Liu Lili, Lecturer, National University of Singapore (NUS)

Length: 7 Minutes

Abstract: This presentation addresses the following:

Why choose Altair AI Studio? (Formerly RapidMiner Studio)
– powerful, user-friendly platform
– clear and intuitive visualizations
– code-free data science learning
– focus on problem-solving skills

Low-Code/No-Code Machine Learning: Empowering Accessible Innovation

Speaker: Sreejay Sreedharan, Director Data Analytics for Banking, Financial Services & Insurance (BFSI), Altair

Length: 21 Minutes

Abstract: Building impactful machine learning models no longer requires extensive coding knowledge. In this session, you will discover how platforms like Altair® RapidMiner®, AutoML tools, and workflow-based approaches democratize data science, allowing you to rapidly prototype and deploy models without needing deep coding expertise.

Tech Session 1: Altair® AI Studio & Large Language Models (LLMs): Bridging AI with Practical Applications

Speaker: Joshua Philip I Technical Specialist - Data Science, Altair

Length: 18 Minutes

Abstract: Altair® AI Studio provides robust tools for building, refining, and applying large language models (LLMs) tailored to business needs. This session covers the Generative AI extension’s key features and demonstrates seamless LLM integration into data science workflows. Attendees will see a live, no-code demonstration of performing sentiment analysis using advanced LLMs from Huggingface within AI Studio.

Tech Session 2: Altair® AI Studio's Seamless Database Integration: Streamlining Data Access & Analysis

Speaker: Joshua Philip I Technical Specialist - Data Science, Altair

Length: 19 Minutes

Abstract: Altair AI Studio offers fast, easy integration with databases such as SQL Server, MySQL, and Oracle. In this session, you will discover how to seamlessly connect and merge data from various sources, streamlining your data preparation and analysis process.

Speaker: Jim Ryan, VP Global Academic Program, Altair

Length: 18 Minutes

Abstract: This session recognizes the achievements of Altair’s global community of Citizen Data Scientists and provides an overview of the event. It highlights key customer success stories in data analytics and AI/ML, and introduces useful online resources, especially for Altair RapidMiner, to support both new and experienced users in advancing their skills and pursuing certification.

Using Machine Learning for Data-Driven Decision Making

Speaker: Prof. Amit Deokar - UMass Lowell

Length:  20 Minutes

Abstract: This presentation explores how organizations can use data and AI to improve decision-making and business analytics. It highlights how Altair RapidMiner serves as a powerful, accessible platform for teaching machine learning, enabling users to build and enhance analytics pipelines with both low-code and code-based options.

Best Practices for Aligning Data Science Curricula with Industry Needs

Speaker: Prof. Pankaj Vyas - Manipal University Jaipur

Length: 17 Minutes

Challenges of Teaching Data Science in Business Classes – How HWG Ludwigshafen Educates the Citizen Data Scientist

Speaker: Prof. Andreas Seufert - Ludwigshafen University of  Business & Society

Length:  29 Minutes

Abstract: Prof. Seufert addresses the challenge of teaching data science to business students by focusing on practical training in data modeling for predictive analysis. Using online instruction, hands-on exercises, and real-world examples, he ensures both students and professionals can quickly develop data skills. Altair RapidMiner streamlines the learning process, making it accessible even for those without prior programming experience.

AI and Engineering Converge – But Where Exactly Will We Go From Here?

Speaker: Dr. Ingo Mierswa, SVP Product Development Altair, Founder of RapidMiner

Length: 21 Minutes

Abstract: In this session, you will learn how engineers can leverage their unique skills and domain expertise to solve the problems they face most frequently.

Learn how to break down data silos and maximize the value of the information captured from sensors, machine logs, production records, and more. Finally, we will take a look into the crystal ball ourselves: How are ML and AI going to change how we work in the years to come?

Enhancing Data Science Proficiency for Engineering Students: Strategies for Success

Speaker: Prof. Lee Wells - Western Michigan University

Length: 15 Minutes

Abstract: A key challenge in teaching data science is broadening students’ understanding of what data is and can be. In this session, I will share an activity from my first data mining lecture designed to engage students and introduce them to unconventional types of data. This exercise also serves as an introduction to RapidMiner and its core capabilities.

The Significance of Collaborations Between Academia and Industry in Nurturing Data Science Talent

Speakers: Prof. Shaila S.G and Prof. Monish L - Dayananda Sagar University

Length: 13 Minutes

Abstract: In this presentation, we will highlight: 
1. Domains of Data Science
2. Data Science Talent Dearth
3. Benefits of Academia and Industry Connections
4. Challenges Faced by Students
5. Effective Solution by Altair
6. A Success Story of Dayananda Sagar University

Code-optional Linear Regression with Altair RapidMiner

Speaker: Prof. Athanasios G Anastasiou - University of Peloponnese

Length: 15 Minutes

Abstract: Linear regression is a key statistical method used to understand the relationship between a continuous outcome and various input variables, which can be continuous or categorical. It helps measure how each input affects the outcome. RapidMiner offers tools to build and assess linear models, making it easier to identify the best model fit. This study explains essential concepts and demonstrates how to apply them using RapidMiner.

Teaching Data Science with RapidMiner via My Textbook, University Course, and Open Online Course (MOOC)

Speaker: Prof. Mathew North - Utah Valley University

Length: 20 Minutes

Abstract: In this presentation, Dr. Matt North will discuss using RapidMiner as a teaching and learning tool to empower both current and future generations of data workers who can wrangle and analyze their data quickly, effectively, and insightfully. He’ll demonstrate his online, interactive learning resource, Data Mining for the Masses, which can be employed in environments ranging from traditional classrooms to on-the-job training workshops to massively open online course environments.

Leveraging Data Science to Predict Adoption Levels of Electric Vehicles (EVs) in the U.S. - A Student Project

Speaker: Sonal Bihani - Student at University of Waterloo

Length: 16 Minutes

Abstract: This session highlights the practical benefits of using RapidMiner for complex data analysis. A student intern shares how RapidMiner simplified a project on Electric Vehicle (EV) adoption by enabling efficient handling of diverse datasets, predictive modeling, and clear data visualizations. The presentation also features RapidMiner Academy as a key resource for developing data science skills and achieving certification, demonstrating how accessible, powerful tools empower students to deliver advanced analytics results.

Setting up AI COE to Transform Data-Science Learning + A Student Example

Speaker: Prof. Gururaja H S and his student Laksh Cowlessur - BMS College of Engineering

Length: 25 Minutes

Abstract: This presentation explores the importance of establishing a robust AI Centre of Excellence (COE) within academic institutions to support structured, effective learning in artificial intelligence. It will also showcase a student’s experience developing real-world AI systems under expert guidance, highlighting how modern tools enhance understanding and engagement in AI education.

Q&A with Altair Leaders - AMER Session

Speakers: Ingo Mierswa, Jim Ryan & Scott Genzer

Length: 21 Minutes

Abstract: In this session, our Altair experts will answer questions that were submitted throughout the event as well as during this session itself.

Q&A with Altair Leaders - APAC Session

Speakers: Rahul Ponginan & Sreejay Sreedharan

Length: 20 Minutes

Abstract: In this session, our Altair experts will answer questions that were submitted throughout the event as well as during this session itself.