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...

On a daily basis, today's providers deal with an abundance of documents, policy processes, and administrative tasks that can detract from high-value patient care. Robotic processing automation (RPA) allows health organizations to easily configure ...

How can AI contribute to democratizing an entire, essential industry? The answer lies in data; capturing it, understanding it, leveraging it, and most importantly making it open and accessible to everyone. This is what The Electric Storage Company...

In a world where everything is becoming more and more connected, Mabe, a leader in home appliances, is using product connectivity to fuel a digitization strategy that delivers consumers the best experience through their solutions and services. Lea...

In every development project, choosing the suitable material is a crucial decision with many interdependencies, and especially in globally distributed value chains, this becomes a challenging task. Material Data Access and availability affect engi...

Today’s most competitive engineering, research, and design teams can access their software, their data, and importantly, powerful HPC resources, from anywhere in the world. From launching software on any device to accelerating jobs with on-demand ...

In this session, cloud expert Rick Watkins presents three actionable HPC and cloud models designed to optimize innovation potential and longtime ROI, whether your team is small and nimble or maintains its own large compute infrastructure. Engineer...

Serba Dinamik is an engineering company specializing in operations and maintenance (O&M), engineering, procurement, construction and commissioning (EPCC), and IT solutions for energy exploration and production firms. Their team worked with Altair ...

Altair helps you get more out of your spreadsheets with less effort. Joining and blending disparate data sources using spreadsheet tools alone leads to too many errors, and troubleshooting problems is time-consuming. Altair Monarch lets your team ...

Insurers are increasingly challenged by unexpected business interruptions as they struggle to provide quality customer experience and drive profitability. Adopting the right data-driven technology in the age of digital transformation is crucial to...

Datasets often have missing values due to file corruption, failure to record data points, or other causes. Handling missing data values correctly is critical to developing accurate predictive models. Knowledge Studio makes it easy to identify data...

In simple terms, Simpson’s Paradox occurs when a trend appears in subgroups but disappears or is reversed when subgroups are combined into a single dataset. Knowledge Studio supports detection of this statistical phenomenon. In this video, you wil...

Most machine learning algorithms assume there are equal numbers of examples for each class in the source data. Many datasets contain substantially different numbers of records for important classes — resulting in an imbalanced class problem. Failu...

In the context of machine learning applications, GLM models allows the use of dependent variables that do not follow normal distributions. This video shows how easy it is to use Knowledge Studio’s GLM node to utilize this advanced statistical tech...

What makes artificial intelligence a game changer is not what movies depict with the loud destructive powers of artificially intelligent robots. It’s the opposite, it is the silent creative destruction that it brings as apps in our phones or featu...

As the pace of innovation accelerates, Altair is driving the future of smart, connected everything through the convergence of simulation, HPC, and AI solutions. Join Founder, Chairman, and Chief Executive Officer James Scapa to explore what he’s l...

How can enterprises improve performance, create differentiated customer experiences, and deliver competitive advantage? Access to actionable data and analytics insights is key, which is why enterprises are migrating data and analytics to the cloud...

Artificial Intelligence (AI) has been recognized as one of the central enablers of digital transformation. It is becoming increasingly crucial to enabling organizations to deliver value in a highly competitive and ever-changing business environment.

Learn how Capgemini is bringing data-powered o

In order to compete in the fast-paced retail industry, a chain of more than 100 sporting goods stores operating across the United States needed a more efficient and accurate method for preparing and analyzing data to enable management teams to qui...

Altair® Monarch® is a comprehensive, self-service data transformation and process automation solution. It connects directly to a wide range of structured and semi-structured data sources, including PDFs, text, complex spreadsheets, JSON, XML, big ...

Altair Monarch’s burster node enables you to unbundle files and distribute the segmented results into separate files and locations. For example, a file containing multiple reports can be unbundled and then placed in a location that can be used for monitoring of other processes or ingestion into

Monarch is an enterprise-class self-service data preparation solution. It connects to multiple data sources including PDFs, spreadsheets, cloud-based data, big data, and other structured and semi-structured sources. Monarch converts disparate data...

We are seeing a mass increase in data, coming at us from all directions. Whether you are running AI-enhanced HPC applications on-premises or HPC workloads in the cloud, you need platforms and solutions that will offer the performance, scalability,...

This presentation outlines Oracle’s vision for the future of artificial intelligence, including how AI and automation will drive the next wave of business transformation, the proliferation of technologies focused on understanding human language, i...

Hyperion Research reveals survey results of a study focused on key aspects of HPC datacenters, including processor and accelerator trends and adoption rates, HPC middleware and software, HPC and AI application trends, HPC cloud adoption, and crit...

Altair’s event processing and data visualization tools enable fleet operators to analyze critical data streaming in from sensors and other sources. This real-time visibility into vehicle and driver performance helps reduce operating costs, improve...

Oil and gas wells are equipped with a variety of sensors measuring temperature, torque, friction, pressure, location, volume of production, and rate of penetration. This telemetry data streams into a central control room over low latency message buses, where engineers and analysts use Altair

Anthony Mc Loughlin VP Sales Data Analytics, EMEA presents how to empower engineering to make data & AI work.

How can we take a step back from our current processes and improve them with new Machine Learning tools, or just clever reporting?

In this session, our in-house solutions expert Alyson Kelley discussed how to monetize your current processes by:

- Understanding current trends in data analytics

Altair Breeze™ and Altair Mistral™ are I/O profiling tools that tell you how your applications are using storage. These unique products provide unrivalled insight into application dependencies and I/O patterns so system administrators and develope...

Fraud impacts everyone—from individual consumers to large corporations.

Traditional rules-based systems may have been effective in the past in identifying fraud, but they become ineffective and stale as fraudsters learn how to bypass those rules. It becomes even more challenging due to the large

Data science and AI are game-changing technologies for engineering and manufacturing companies. To embrace the need of today and the future for self-service data science and analytics in manufacturing, we need more data engineers to make this all possible.


At Altair, we envision a future whe

The ever-changing worlds of manufacturing and data analytics are now converging—and this intersection will soon greatly influence process management and quality engineering.
Yet at all levels, quality professionals are grappling with the what and how of integrating data analytics.

Altair Data An

Machine learning technology leveraging historical and real-time data from sensors mounted to production equipment as well as PLCs, SCADA, and other sources can accurately flag potential failures of whole machines and/or critical components before ...

Most manufacturers must handle large numbers of warranty claims related to a variety of products and components. The volume of claims can easily run to millions per year for consumer goods manufacturers. Patterns within claims data may indicate em...

Identifying unusual behaviors or patterns in machine components using sensor data can prevent small glitches from creating major operational problems.

Monarch 2020 includes a new feature known as Spreadsheet Design. It can extract data from complex spreadsheets that might include multiple tabs, conditional cell formatting, and more. Monarch is the only data preparation solution that offers an ea...

The panelists for this discussion hosted by Altair CTO Sam Mahalingam, are Joshua Patterson, Sr. Director of Engineering at NVIDIA, Dr. Carsten Bange, Founder & CEO of BARC, Juan Orlandini, Chief Architect, Cloud and Data Center Transformation at ...