Resource Library

With this webinar, you will be able to efficiently validate credit risk models. We will compare and interpret various validation strategies. You will learn how to compare outputs for models: stability, discrimination, and calibration. You will lea...

With the right data, in this webinar, you will learn to build credit risk models through machine learning techniques and understand the impact of the economic downturn on the model outcome. You will develop a good understanding of the pitfalls of ...

Having the right data for the analytics can give you better and more accurate results. In this webinar, we will try to understand the challenges in the credit risk industry. Build an understanding on the role of liquidity, equity, and many other k...

1. FEA Explicit Dynamic for Drop Impact Simulation Using Altair Radioss　

2. Multi parameter Sensitivity Analysis & Deterministic Design Optimization on A/C Outdoor Unit.

3. Uncertainty Quantification & Reliability Based Design Optimization 2D CFD Case Study

Risk assessment is crucial for any enterprise that extends credit to customers. Commonly known as credit scoring, the process helps lenders make confident, informed decisions on whether prospective customers will honor their debt. Credit scoring i...

Data in all its glory, but the real challenge lies in generating value from the data. We all know that semi-structured data like PDFs and text files, or even structured sources of data is useless unless we can extract the relevant information and visualize it in an understandable way.


Compaines

To successfully operationalize machine learning (ML) algorithms, data science teams must be able to continuously update their models so they can improve their predictive performance. The champion/challenger approach is a well-documented method for...

In the second installment of this Data Science for Engineering series, we covered:

Predictive modeling and evaluation techniques
The Cross-Industry Standard Process for Data Mining (CRISP-DM) framework
Spotlight on Altair customer stories - Ford Motor Company and Reni

Altair Analytics allows your data to grow confidently keeping costs under control while the platform continues to scale. It helps build a modern and future-proof analytics environment that delivers high-value business insights while maximizing ROI...

Presentation introducing a few of the top use cases for XenomatiX Road Data.

Altair Analytics Hub provides centralized governance and deployment services for every step in the data analytics lifecycle. It enables you to govern your analytics enterprise and deploy programs and models coded in the SAS language, Python, and R...

Altair Analytics Workbench is a sophisticated coding environment that’s ideal for developing models and programs written in the SAS language. With it, developers can include Python, R, or SQL code in their SAS language programs, and it requires no...

An introductory webinar to Weight Data Tool by TGM Lightweight Solutions GmbH, available through the Altair Partner Alliance.
Weight Data Tool (WDT) gives users the power to evaluate vehicle mass properties via automatic reports, and lets users track data history, origin, and maturity for all those

Altair’s data analytics platform helps major banks and nonbank financial institutions transform the mortgage servicing process. Altair tools handle every phase of the data lifecycle, eliminate data silos, and provide decision-makers with excellent visibility into risk and profitability.

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The path towards electrification requires significant investment, changes to technologies, development processes and even organizational structures. This introductory webinar will reveal Altair's simulation- and data-driven design tools to acceler...

Cloud utilization has drastically changed how organizations operate today, but understanding how it's being used within your organization is key to saving on costs and avoiding security concerns.

In fact, organizations are using the cloud more than ever—and they're oftentimes using more than one

Panopticon Real Time and Panopticon Streams 2022.0 include usability and performance improvements as well as coding enhancements.

Click here to learn more about Altair Panopticon.

Knowledge Studio’s Weight of Evidence node is essential to creating scorecard models. The Weight of Evidence node transforms your data so the model can assign points to every bin and these points will eventually add up to the scorecard. Knowledge ...

Sheet metal stamping is fundamental to the automotive manufacturing industry. A vast array of different tool, die, and process combinations are employed to create an equally diverse array of components. Traditionally, identifying the optimum appro...

We kick off the Data Science for Engineering series by covering the first step of data science methodology.

During this 90-minute presentation and Q&A we discuss:


The "why" of engineering-data science convergence holds the key to unlocking the full potential of data

A product demonstration of the Weight Data Tool by TGM Lightweight Solutions GmbH.

If manufacturers want to remain competitive in today’s globally connected environment, they must reevaluate and revise longstanding business and engineering practices.

To learn how they are doing this, Altair partnered with CIMdata to develop and conduct a market research survey. In addition to

Presentation introducing a few of the top use cases for the vehicle lightweighting software, Weight Data Tool.

Smart ecosystems span a variety of industries, technologies, and applications. They provide the backbone for operational innovation, efficiency, futureproofing, sustainability, and autonomy. Smart ecosystems harness the convergence of many technol...

Crashworthiness optimization at BMW with AI-enhanced surrogate modeling.

BMW uses Altair’s integrated Machine Learning solutions within HyperWorks to generate optimization constraints that mimic engineering expertise. Clustering, an unsupervised machine learning algorithm, helps engineers to und

Write data-centric applications using the best programming languages for the job, mixing syntax from different languages inside a single program. Our code and no-code tools empower you to create, maintain and run models and programs using the languages of SAS, Python, R and SQL.

Organizations

Today, delivering exceptional customer experience and gaining customer loyalty are the utmost requirements of financial institutes. This is fuelled by the increasing competition and ever-changing business environment. The next-generation banker re...

Data scientists and business analysts use Altair to generate actionable insight from their data. Knowledge Studio is a market-leading easy to use machine learning and predictive analytics solution that rapidly visualizes data as it quickly generates explainable results - without requiring a sing

Users can begin making predictions after their machine learning models are registered and deployed in the SmartWorks Analytics MLOps application. This video explains how to send requests for predictions to a model using a Python script.

Empower everyone to make augmented, data-driven decisions.

Learn about the different ways to deploy machine learning models using Altair® SmartWorks™ Analytics.

Digital Twin is enjoying a breakthrough, fueled by advances in the sophisticated use of physics-based simulation models of varying fidelities. Connected and informed by data from the field with the help of artificial intelligence, Leonardo S.p.A. ...

Realizing the true potential of self-service data transformation requires the ability to scale, automate, and govern across the organization. Altair® Monarch® Server is a centralized data management solution that automates bulk data processing and...

This series of short videos will help you understand the basics of data science. In Part 1, we focus on predictive analytics, which is the process of training computers with historical data so they can make accurate predictions.

Click here to

This is part two in a series of short videos to help you understand the basics of data science. This video focuses on the concepts of supervised and unsupervised learning. In supervised learning, you develop algorithms that predict outcomes based ...

This is part three in a series of short videos to help you understand the basics of data science. This video focuses on prescriptive analytics, which uses results from multiple machine learning algorithms to inform future decisions. With prescript...

The shift from internal combustion engine (ICE) vehicles to electric vehicles (EV) has provided an enormous opportunity and scope for smart electrical vehicles. The EV is a complex system involving integrated and interdisciplinary mechanical, elec...

Knowledge Studio 2022.0 introduces several important improvements that make the software easier than ever to use and deploy. Docker is no longer required to support any Knowledge Studio functionality, which makes deployments easier, eliminates ce...

The Panopticon 2021.2 release incorporates several important new analytics capabilities, including the ability to exclude individual points in time and define multiple non-business hour timespans when analyzing time series data. We have improved s...

RPA and Automation are popular buzzwords, but what can they actually provide your organization? And, how do you get started?

Data transformation tools such as Altair Monarch perfectly complement RPA processes to free up human capital, prevent lost revenue, and ultimately maximize your investment.

The ability to monitor, investigate, and act on time-sensitive data is critical to the success and profitability of electronic trading operations. With Altair® Panopticon™, traders can visualize latency metrics while slicing the data by symbol, or...