Join us in our virtual interactive environment to watch live keynote speakers, view technical sessions and participate in training workshops.
Connect with the explorers, the dreamers, and the innovators who are solving complex problems faster, easier and smarter than ever before. Discover what’s next in the world of data-driven insights that help drive better decisions and accelerate the pace of innovation.
What to expect?
Who should attend?
James Scapa, Altair Founder, Chairman & CEO
Speaker to be announced – stay tuned!
Sam Mahalingam, Chief Technical Officer. Details coming soon!
To be announced - stay tuned!
Mamdouh Refaat, Altair Chief Data Scientist
ML and AI is experiencing a revolution in the scale of usage and applications. A common and frequent step in the ML model development process is the use of data to extract insights about the process being modeled and optimized. However, insights based on data could often show unreal trends and relationships.
In this presentation, we will discuss common cases where the data may display conflicting or wrong patterns and how we can use simple methods to detect these situations. These apparent paradoxes and fallacies are important to detect during the construction of machine learning models to make sure that the developed models are robust and provide the correct interpretation of the data.
Mark Do Couto, VP Outside Sales & Mike Hughes, VP Inside Sales
Harnessing the full benefits of enterprise data solutions doesn’t happen overnight. At Altair we understand operationalizing analytics is a journey and we want to be your partner every step of the way. Learn how we’re delivering you the most value with our comprehensive enterprise data analytics solutions, flexible licensing model and expert global support services.
Harry Murphy, Director of AMER Data Analytics Solutions Specialists
Informed decision making begins with trusted, accurate data. Discover how to seamlessly connect to and easily transform disparate data using repeatable tasks using no-code data preparation from Altair.
Chris Long, VP of Worldwide Data Analytics Solutions Specialists
Explore how business analysts and data scientists alike can leverage data science modeling at all skill levels, without having to code. Quickly build out predictive and prescriptive models that can easily explain and quantify insight found in your data.
Bruce Zulu, Director of Technical Support, Panopticon
Seeking a competitive edge to drive better business decisions? Experience how the power of real-time stream processing and visualization in the hands of those closest to the action results in smarter tactical and strategic decision making in rapidly changing environments.
LaRue Brown, VP of Data Analytics Product Management
Altair has brought together a powerhouse team leveraging expertise in data prep, visualization, and machine learning to deliver a fully integrated end-to-end cloud native and on-prem data analytics platform. This is your chance to check out the features and how this new solution enables corporate citizens to build and operationalize data analytics applications using an extensible, open and low code platform.
Suk Rakkar, Senior Sales Director
Learn how Altair's Data Analytics platform can help you ingest and prepare massive amounts of disparate data allowing you to identify clients that may be most likely to churn using our predictive analytics solutions.
Samuel Agosta, Director, Banking and Capital Markets
Learn how Panopticon, Altair's real-time steaming analytics platform, can monitor customer trading activity in real-time to help you proactively address execution problems, maximize customer order flow and increase trading profitability.
Paige Jankowski, Director Healthcare Solutions
Hospitals and health systems are seeing huge increases in virtual medical visits, and it's expected that this trend will continue. Understanding how to best utilize telehealth will require a coordinated approach to analytics. Learn how healthcare organizations are leveraging existing data and predictive analytics to improve quality of care, optimize patient adherence, and reduce hospitalization and readmittance rates through teleheath engagement.
Marco Fliesser, Director Manufacturing Data Analytics EMEA
Increase shop floor efficiency by identifying hidden indicators for future down times in your manufacturing assets. Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle - from shop floor to top floor - for increased value and reduced risk.
Daniel Bolon, Director, Federal Programs – Data Analytics, and James Tirbaso, Solutions Specialist
Explore how Altair’s self-service data analytics platform enables people of all skill levels to access, generate, and use smart data to make insightful, informed decisions. We’ll be joined by our solution specialist to see how different federal government data sets, including maintenance analytics data, accounting data and criminal investigation data, can be easily transformed and business processes automated.
Mark Burns, Director of Data Analytics - State, Local and Higher Education
Jack Lynch, Public Sector Solutions Architect
Enrollment accuracy and student retention is essential to the survival of any university. Join us to explore how you can leverage your existing data and no code predictive models to make strategic decisions with confidence - even under intense pressure.
Dylan Tancill, Director, Bank & Credit Union Team
Stephen Smay, Director, Solutions Consultants - Financial Services
Learn how banks and credit unions save hundreds of hours per year using Altair Monarch to automate the identification of exceptions in the daily debit card reconciliation process. We’ll demonstrate how we extract and transform data from both the core banking system and the debit processing solution and use filtering and calculated fields to identify the transactions requiring investigation.
Join us for a full day of free training! This is a learning journey through the three disciplines around data, predictive modeling and visualization.
Basic Data Prep will cover the simplest changes that can be made after the data has been extracted from Report Design. Once data is brought into the prepare window, it can be manipulated further while creating a repeatable and effective process. Mastering Basic Data Prep will allow the user to refine the information that they want to focus on.
1. Editing Columns – going over any potential changes that can be made to different column types
2. Transforming – brief overview of the transform types
3. Combining – show users how to combine different data sources in Monarch
Taking you beyond simple column operations and transformations, the Advanced Data Prep module will explore how to recreate complex manual tasks in a repeatable fashion. Being familiar with these skills will allow user to address complex data transformation challenges and establish the relationship between column level operations and tabular level transformations.
1. “If, Then” statements in Calculated fields
2. Creating customized groupings
3. Pivot / Unpivot Relationship
Alyson Kelley, Senior Solutions Specialist
This session will be a general overview of just exactly what machine learning is and how it can add value to your business. Definitions of terms and an overview of what kinds of predictive analytics there are, and what is needed from a business perspective to take advantage of these predictive techniques. Attendees will be given examples of models and an introduction on how to take historical data, build models and create a reusable workflow.
1. Working knowledge and understanding of data needed for predictive projects
2. Building workflows using wizard driven approaches, importing data with an eye towards predictive science
3. Building models using wizard driven approaches and adding to workflow
Alyson Kelley, Senior Solutions Specialist
Building on the introduction class, this session will take the attendees on a journey into specific modeling examples, example on how to validate those models and finally analysis and test those models.
1. How to build ensemble models like Random Forest, Boosting, and Bootstrap Aggregation (Bagging) techniques as well as regression modeling
2. Model validation and Analysis
3. Deployment and decision strategies
Introduction to converting data into useful visual displays that show useful, actionable information.
Advanced real-time display on data and how to use Panopticon to visually display quickly changing data when needed.