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AI at Altair

Altair is the only company where rocket science meets data science. We pioneered the convergence of simulation, artificial intelligence (AI), and high-performance computing (HPC) and continue to accelerate product innovation with AI-powered engineering, improve business outcomes with the industry's leading enterprise data analytics and AI platform, and democratize access to HPC to augment AI technology.

Unleash the power of AI across every step of your digital transformation journey. See what AI trends you need to know here.

Altair was recognized by Gartner®

As A Leader in the June 2024 Magic Quadrant™ for Data Science and Machine Learning Platforms.

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AI Fabric: The Future of Data and AI Integration

AI fabric is a next-generation approach that seamlessly unites data, AI, and automation. It enables you to transform your operations with real-time and explainable insights, enhanced decision-making, and scalable automation.

AI fabric solutions overlay your existing infrastructure with a graph-powered architecture. They create an ideal environment for deploying generative AI, large language models (LLMs), and automation, ensure compliance and data integrity, and provide users with more personalized experiences. An AI fabric’s inherent data governance capabilities ensure privacy and ethical AI practices, while enabling conversational AI tools like chatbots and assistants, making services more accessible, interactive, and user-friendly.

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Two senior manufacturing engineers in an automotive plant examine production data gathered and analyzed using AI agents built in the Altair RapidMiner data analytics and AI platform.

AI Agents

AI agents bring intelligence, adaptability, and context-awareness to tasks that traditionally require human intervention. Agents can learn from past experiences, anticipate needs, and adapt to new situations—making them invaluable in industries ranging from customer support to supply chain management and beyond.

The advanced algorithms behind AI agents enable them to understand complex scenarios, execute decisions, and interact with users or other systems. From automating workflows to enhancing customer service, AI agents are revolutionizing business by providing more efficient, more scalable, and more intelligent solutions than ever.

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Generative AI

It’s no secret that the market’s biggest AI trend is generative AI. Proven technology meets unprecedented business results with Altair’s generative AI solutions. Altair RapidMiner’s generative AI tool puts access to hundreds of thousands of large language models (LLMs) at users’ fingertips with a customizable extension that’s secure, cost-effective, and easy-to-use.

AI-powered engineering solutions bring generative AI to drastically accelerate product development. Create high-potential designs earlier in development cycles, augment product development practices, and multiply the productivity of engineering teams. Explore an exponentially broader range of customer-pleasing, high-performing, manufacturable product designs.

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Python APIs

Streamline processes, customize experiences, and automate your routine using Altair's solutions, enhanced by its Python API. Merge engineering workflows to experience a frictionless transition between software tools, tailor our solutions to fit your unique workflows, and convert routine, manual tasks into automated scripts. This integration not only increases efficiency and productivity but also enables users to harness Python's extensive libraries for extending software capabilities, ensuring a flexible, future-proof platform for enterprises, teams, and individuals.

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Altair One®

Altair One is a revolutionary cloud innovation gateway for collaborative engineering, data engineering, and analytical application development. Built on a robust HPC backbone and decades of simulation, HPC, and AI advancement, Altair One provides seamless access to your tools, data, and computing resources – all while unleashing the power of AI across every step of the product development lifecycle.

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Ethical AI

Altair’s mission is to leverage computational intelligence to transform innovation for a safer, more connected, and more sustainable future. That includes the ethical use and creation of AI technology. From making unprecedented achievements in lightweighting and sustainability thanks to AI-powered engineering, to fueling AI efficiently via green computing with our HPC workload management technology, and more, Altair augments the human-AI relationship for positive change.

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Featured Resources

AI Fabric with Altair RapidMiner: The Next Generation of Enterprise AI

This flyer highlights the power of an AI fabric, a transformative technology that takes your organization’s data capabilities to the next level. While data fabrics provide a unified layer that connects and virtually represents all your data without the need for complex schemas or data movement, they are just the first step. The real value comes when you build an AI fabric on top of your data fabric, enabling your organization to fully activate its data and integrate advanced AI solutions into everyday operations. With an AI fabric, your organization can become a data- and AI-driven leader, fostering greater efficiency, collaboration, and innovation.

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AI Agents: Revolutionizing the Future with Intelligent Automation

Artificial intelligence (AI) is reshaping the way we interact with technology, driving significant advances in automation, decision-making, and problem-solving. One of the most exciting developments within AI is the rise of AI agents—autonomous systems de

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ATCx AI for Engineers 2024 Presentations

Learn more on how generative design and AI can help break down data silos and extract actionable insights to drive real business value. Click to view the collection of presentations from the ATCx AI for Engineers 2024 virtual event.

Event Presentations

Advance Asset Maintenance Strategies with Predictive Analytics

Predictive maintenance provides a proactive solution to monitor equipment health and predict failures. It enables organizations to avoid machine failures and unplanned downtime, increase equipment and production line productivity, reduce maintenance costs (including hard component replacement costs and associated personnel time), and improve output quality.

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