Unlock Next-Generation Simulation with NVIDIA, Microsoft, and Altair

Unlock Next-Generation Simulation with NVIDIA, Microsoft, and Altair

At the intersection of cloud innovation, GPU acceleration, and multiphysics expertise, NVIDIA, Microsoft, and Altair are redefining what’s possible in engineering simulation. This powerful alliance empowers customers to accelerate product development with scalable compute on Microsoft Azure, industry-leading performance from NVIDIA Tensor Core GPUs, and GPU-optimized solvers from Altair. The result: faster insights, reduced costs, and a seamless path to AI-enhanced, high-fidelity simulation at scale.
Five Applications of Knowledge Graphs in the Drug Discovery Process

Five Applications of Knowledge Graphs in the Drug Discovery Process

Discover how knowledge graphs unify pharma data to accelerate drug discovery, improve compliance, and enhance research productivity.
Top 5 Semiconductor Design Trends Shaping the Future of Chip Innovation

Top 5 Semiconductor Design Trends Shaping the Future of Chip Innovation

Explore the latest semiconductor design trends — from 3D IC stacking and in-house chip design to AI-driven EDA and cloud computing. Discover how innovation is redefining chip development.
Simplifying SAS to Python Migration with Altair’s Hybrid Analytics Platform

Simplifying SAS to Python Migration with Altair’s Hybrid Analytics Platform

Simplify your SAS to Python migration with Altair’s hybrid analytics platform—reduce risk, cut costs, and modernize without disrupting operations.
Predictive Root Cause Analysis: Transform Problems into Proactive Solutions with AI

Predictive Root Cause Analysis: Transform Problems into Proactive Solutions with AI

In every industry, from manufacturing to finance, problems arise that demand more than just a surface-level fix. When machinery breaks...
How Data Lineage Ensures Effective AI Governance

How Data Lineage Ensures Effective AI Governance

Understanding where data comes from and how it changes is important for trust, compliance, and decision-making. This infographic highlights the role of data lineage in transparency, data quality, and AI governance. AI governance is vital for compliance, risk management, and trust. Accurate data lineage helps trace data and verify AI outputs.
Choosing the Right Technology Stack for Successful SAS Language Modernization

Choosing the Right Technology Stack for Successful SAS Language Modernization

With the right tools and approach, SAS language environment modernization can be smooth and scalable. Altair's solutions are built to support you every step of the way. Here's where to start.
Optimizing Rail Operations with AI, Data Analytics, and Altair® RapidMiner®

Optimizing Rail Operations with AI, Data Analytics, and Altair® RapidMiner®

The rail industry faces challenges in fleet performance, maintenance, and disruptions. With AI, machine learning, and knowledge graphs, operators can optimize efficiency and scheduling. Altair® RapidMiner® enables real-time analytics and AI-driven decisions for smarter, cost-effective rail operations.
Leveraging Knowledge Graphs for Governance in the AI Fabric

Leveraging Knowledge Graphs for Governance in the AI Fabric

By merging knowledge graphs created in the data fabric with AI workflows to create a complete AI fabric, Altair RapidMiner has created a robust system for ensuring governance compliance. This integrated approach not only ensures compliance but also empowers organizations to adapt swiftly to evolving regulatory landscapes
Six Key Requirements of Self-Service Data Preparation

Six Key Requirements of Self-Service Data Preparation

Data preparation is a critical part of any data science project, but it can also be time-consuming. Discover the six areas to focus on when planning your data transformation workflow.
Understanding the Different Types of AI Agents

Understanding the Different Types of AI Agents

Discover the different types of AI agents, from reactive and deliberative to learning and autonomous systems. Explore their characteristics, use cases, and how generative AI enhances their capabilities to drive innovation across industries.
AI Agents: Revolutionizing the Future with Intelligent Automation

AI Agents: Revolutionizing the Future with Intelligent Automation

Discover how AI agents are transforming industries with intelligent automation. From customer service to healthcare, finance, and manufacturing, explore how genAI and machine learning enhance decision-making, efficiency, and innovation while addressing key challenges.
Data Lineage and Governance in AI-Powered Operations

Data Lineage and Governance in AI-Powered Operations

Discover the vital role of data lineage in AI governance. Learn how tracking data from source to AI output ensures transparency, accountability, and ethical compliance, empowering organizations to make reliable, justifiable, and impactful AI-driven decisions.
The Future of Data in Industry 4.0: Why Knowledge Graphs are Important

The Future of Data in Industry 4.0: Why Knowledge Graphs are Important

Discover why knowledge graphs are vital for Industry 4.0, revolutionizing manufacturing with smarter data management, AI-driven insights, and real-time decision-making. Learn how Altair® Graph Studio™ empowers businesses to unlock the full potential of their data.
Digital Debunking: Can Machine Learning Help Design Better Workout Programs?

Digital Debunking: Can Machine Learning Help Design Better Workout Programs?

Explore how machine learning can create personalized workout programs to help you achieve your fitness goals. Discover how AI-driven solutions like Altair® RapidMiner® can optimize your exercise routine, even without a personal trainer.
Utilize Knowledge Graphs for Generative AI in Enterprise Environments

Utilize Knowledge Graphs for Generative AI in Enterprise Environments

Discover how knowledge graphs enhance generative AI by improving accuracy, relevance, and data integration. Explore techniques like ontology-driven alignment and fine-tuning to unlock enterprise data's potential. Learn more.
Why Data Fabric is the Future of Data Integration Architecture

Why Data Fabric is the Future of Data Integration Architecture

Discover how data fabric and knowledge graphs are transforming data integration. Learn about the shift from centralized systems to flexible, scalable solutions that enhance data accessibility and management. Explore how Altair can guide your data transformation journey. Visit Altair Graph Studio to get started.
Enhance Your AI Stack with Knowledge Graphs

Enhance Your AI Stack with Knowledge Graphs

Learn how knowledge graphs can boost your AI stack by providing comprehensive data integration, enhancing insights, and improving AI model accuracy. Discover the role of clean, well-defined datasets and how they contribute to successful AI projects. Explore how to optimize your AI stack today!
How to Choose the Right Data Science Platform

How to Choose the Right Data Science Platform

Choose the right data science platform by focusing on no-code/low-code features, centralized data access, Python/R support, flexible deployment, and strong audit capabilities for impactful outcomes. Explore more.
Enterprise Knowledge Graphs to the Rescue

Enterprise Knowledge Graphs to the Rescue

An enterprise knowledge graph unifies diverse data sources, simplifying access and eliminating data swamps. It enhances connectivity, automates data integration, and future-proofs assets. Revolutionize your data strategy with the power of knowledge graphs. Discover more.
Bridge the Gap Between Top Data Science Languages

Bridge the Gap Between Top Data Science Languages

Altair SLC bridges the gap between the SAS language and open-source languages like Python, R, and SQL. Organizations can now choose and use the languages that will best serve their objectives.
Digital Debunking: Was Data Analytics Able to Predict if Punxsutawney Phil Would See His Shadow?

Digital Debunking: Was Data Analytics Able to Predict if Punxsutawney Phil Would See His Shadow?

But before we knew what Phil’s prediction would be, we wondered if we could use Altair RapidMiner to predict whether Phil would see his shadow. Altair RapidMiner’s low-code platform allows users of all skill levels to build machine learning models, and provides hundreds of powerful tools to transform and augment data.
Credit Scoring Series Part Nine: Scorecard Implementation, Deployment, Production, and Monitoring

Credit Scoring Series Part Nine: Scorecard Implementation, Deployment, Production, and Monitoring

After a credit scorecard is developed, how can organizations best implement them? Learn all about it in part nine of Altair's credit scoring series.
Credit Scoring Series Part Eight: Credit Risk Strategies

Credit Scoring Series Part Eight: Credit Risk Strategies

Part eight of Altair's credit scoring series is all about credit risk strategy -- read on to learn the key ins and outs of credit risk.
Credit Scoring Series Part Seven: Additional Credit Risk Modeling Considerations

Credit Scoring Series Part Seven: Additional Credit Risk Modeling Considerations

Learn about boostrapping, cross-validation, undersampling, and more in part seven of the Altair credit scoring series.
Credit Scoring Series Part Six: Segmentation and Reject Inference

Credit Scoring Series Part Six: Segmentation and Reject Inference

In part six of the Altair credit scoring series, we take a deeper dive into segmentation and reject inference (RI) and how organizations use them to develop credit scorecards.
Credit Scoring Series Part Five: Credit Scorecard Development

Credit Scoring Series Part Five: Credit Scorecard Development

How can any organization or team develop an accurate, agile credit scorecard? Find out in part five of the Altair credit scoring series.
Credit Scoring Series Part Four: Variable Selection

Credit Scoring Series Part Four: Variable Selection

What is variable selection in scorecard modeling, and how can you use it to optimize your credit scorecard operations? Learn in Part 4 of the Altair credit scoring series.
Credit Scoring Series Part Three: Data Preparation and Exploratory Data Analysis

Credit Scoring Series Part Three: Data Preparation and Exploratory Data Analysis

With data, it's "garbage in, garbage out." Learn how to get the most from your data prep in the latest credit scoring series installment.
Credit Scoring Series Part Two: Credit Scorecard Modeling Methodology

Credit Scoring Series Part Two: Credit Scorecard Modeling Methodology

Learn how to set up, test, and tailor credit scorecards to get the most from your tools and software.
Credit Scoring Series Part One: Introduction to Credit Scoring

Credit Scoring Series Part One: Introduction to Credit Scoring

Credit scoring is a numerical expression that represents an individual's creditworthiness based on a level analysis of their credit score, and with the software tools available, lenders can optimize their credit score.