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Altair Data Science Day (1)

Altair Data Science Day - ON DEMAND

Browse all of our recorded sessions and get insight into use cases of AI Studio for teaching and learning from thought leaders around the world.

Altair Data Science Day 2024 - ON DEMAND

 

Welcome, Introduction, and Objectives for this Event

Speaker: Jim Ryan, VP Global Academic Program

Length: 11 Minutes

Abstract: This event, and especially this introductory session, is intended to show our appreciation for the impressive work and many contributions of our growing international community of Citizen Data Scientists using Altair software to achieve their goals.

It provides a big-picture overview of the day’s sessions and some highlights from customer stories involving data analytics or AI/ML.  Along the way, we point out some handy resources available online (especially for the Altair RapidMiner software) intended to help new users get started and experienced users expand their knowledge and perhaps obtain certification.

 

Empowering Non-Technical Executives Through Data Science Tools

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

Length:  20 Minutes

Abstract: This session will explore how Altair® AI Studio is empowering C-suite executives to make data-driven decisions by simplifying complex data insights. Using case studies from executive MBA programs, Dr. Michelle Banawan will demonstrate how non-technical leaders can leverage no-code interfaces to drive business strategy, ensure data governance, and implement predictive models. This presentation will focus on real-world applications of Altair AI Studio, showcasing how it bridges the gap between technical data science and practical business decisions. Participants will gain insights into fostering a data-driven culture within their organizations, and the importance of integrating predictive analytics and explainability in decision-making processes.

 

Process Monitoring & Control - Converging Data and Engineering Science

Speaker: Dr. Sam Ramrattan I Foundry Educational Foundation Key Professor, 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 I 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 I Associate Professor of Marketing, Embry-Riddle Aeronautical University, USA

Length: 17 Minutes

Abstract: Altair AI Studio is an invaluable tool in social media marketing and marketing analytics education, offering comprehensive capabilities for data analysis and predictive modeling. The platform’s no-code interface enables students to easily process datasets from social media campaigns, including user sessions, traffic sources, and conversion actions. Key analyses, such as clustering, ad performance evaluation, and conversion rate optimization, help students understand campaign effectiveness and user engagement. By using these tools, students gain hands-on experience in segmenting audiences, predicting marketing outcomes, and optimizing ad spend, preparing them for data-driven decision-making in real-world marketing scenarios. 

 

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. I Assistant Professor, University of Santo Tomas, Philippines

Length: 13 Minutes

Abstract: Dr. Arturo Patungan, Assistant Professor at the University of Santo Tomas, Philippines, introduces his course on Data Science and Analytics. “Pangingisda” is a term used to describe his approach to teaching Introduction to Data Science and Analytics (IDSA), which is sometimes mistaken for ISDA. In Filipino,”isda” means “fish,” and “pangingisda” translates to “fishing,” a fitting metaphor for the course’s goal of “fishing” students from various disciplines and drawing them into the applications of Data Science and Analytics in their respective fields of study.

 

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

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

Length: 26 Minutes

Abstract: This presentation will demonstrate all the steps of performing supervised machine learning that is cleanup, missing data handling using replace missing operator, cross-validation partitioning, use of decision tree algorithm, creation of at least 3 models, best model selection, and finally deployment of the best model parameters on the new data or data whose target class needs to be predicted. The presentation will be very helpful for teachers to understand and use it accordingly as assignments for their students.

 

Boosting Financial Market Insights with Altair® AI Studio Anomaly Detection

Speaker: Dr. Liu Lili I 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 I 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 Sessions 2024

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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 offers an array of powerful tools that enable users to easily build, fine-tune, and apply large language models (LLMs) to meet specific business needs. In this session, we will explore in detail the key features of the Generative AI extension and how it enhances AI Studio's capabilities. You'll learn how to integrate LLMs into your data science workflows seamlessly. We will also provide a live demonstration, showing how to perform sentiment analysis using state-of-the-art LLMs from Huggingface, all within AI Studio's no-code environment.

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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.

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Altair Data Science Day 2023 - ON DEMAND

 

Welcome, Introduction, and Objectives for this Event

Speaker: Jim Ryan, VP Global Academic Program

Length: 18 Minutes

Abstract: This event, and especially this introductory session, is intended to show our appreciation for the impressive work and many contributions of our growing international community of Citizen Data Scientists using Altair software to achieve their goals.

It provides a big-picture overview of the day’s sessions and some highlights from customer stories involving data analytics or AI/ML.  Along the way, we point out some handy resources available online (especially for the Altair RapidMiner software) intended to help new users get started and experienced users expand their knowledge and perhaps obtain certification.

 

Using Machine Learning for Data-Driven Decision Making

Speaker: Prof. Amit Deokar - UMass Lowell

Length:  20 Minutes

Abstract: Organizations are keen on leveraging data as an asset, building their analytics capabilities, and ultimately deriving value for better decision-making. Also, recent AI transformation has brought renewed focus on machine learning techniques for analytics. This talk will focus on how RapidMiner can be used as a powerful analytics platform in courses for teaching and learning about machine learning techniques. With business analytics applications, the talk will emphasize the ability to learn and develop analytics pipelines in a low-code, no-code manner with RapidMiner, while also having the ability to enhance these pipelines with coding as and when needed.

 

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: Course Instructors in Data Science face the challenge of preparing students for Digital Transformation. While students usually gain a good insight in e.g. marketing, controlling, or accounting through their courses, there is often the task of training these “domain experts” on data models for predictive or root cause analysis. 
Prof. Seufert will show how he educates students and industry experts alike with Online Teaching, hands-on exercises, and best-practice use cases. Altair RapidMiner allows for a fast learning curve and enables programming novices, even non-programmers, to build up their data models in the limited time of a lecture.

 

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: I believe that one of the biggest hurdles when educating students in data science is overcoming narrow views of what data is and what data can be. In this session, I will demonstrate an activity that I use in the first lecture for my data mining course. The goal of this activity is to provide a fun and thought-provoking experience that exposes students to data not traditionally discussed in engineering curricula and have them begin thinking about data differently. At the same time, this activity serves the purpose of introducing students to RapidMiner and some of its fundamental uses.

 

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 primary statistical technique designed to model the linear relationship between a dependent variable and a set of input predictors, drivers, or independent variables.
The Dependent Variable should be a scale or continuous variable, while the inputs, although traditionally and preferably continuous, can be either categorical or continuous. Regression modeling provides a means of assessing not only the extent to which the outcome of the Dependent Variable can be determined but also the effect of each predictor on that outcome.
RapidMiner provides a range of tools for estimating linear models. This study describes how to use and understand key concepts in relation to finding the best-fitted model by 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 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: Join me for an insightful journey into the world of cutting-edge data science! As a student intern who successfully harnessed the power of RapidMiner for a transformative Electric Vehicle (EV) Adoption project, I'll provide a glimpse into how this robust platform simplifies intricate data analysis. Discover its capabilities in handling diverse datasets, conducting predictive modeling, and creating visualizations to streamline data exploration and insights. I'll also share my experience with RapidMiner Academy, an invaluable resource for mastering RapidMiner and gaining certification. 
Learn how the right tools can elevate complex data analysis projects, making them accessible and efficient, even for students!

 

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 will dive deep into the need for a strong AI Centre of Excellence (COE) in an academic organization and also emphasize the benefits it provides in guiding learners on their path to learning this vast domain in a more systematic manner. 

Journey of embarking on real-time AI projects with professor guidance, modern tools, and industry expertise

In the second part of this presentation, Prof. Gururaja's student Laksh Cowlessur will elaborate on the process of creating useful AI systems under the guidance of a professor and also talk about moving to modern tools that facilitate an intuitive understanding of AI program development thereby, making it more interesting and easier to grasp. 

Q&A Sessions 2023

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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.

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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.

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