Altair, a global leader in computational intelligence, announced that Altair® RapidMiner®, Altair’s data analytics and AI platform, has been positioned by Gartner as a Leader in the Magic Quadrant for Data Science and Machine Learning Platforms. The evaluation was based on specific criteria that analyzed the company’s overall Completeness of Vision and Ability to Execute.
“We think being recognized as a Leader for the second consecutive year further validates Altair’s expertise in data science and machine learning. Our unique, world-leading solution for data preparation, AI development, orchestration, and automation, empowers organizations to turn data into intelligence faster and more effectively,” said Sam Mahalingham, chief technology officer, Altair. “We continually push the limits of innovation, and now having joined the Siemens ecosystem, we will help our customers build, automate, and deploy AI faster than ever.”
Altair RapidMiner’s full-stack AI capabilities—from low-code AutoML to sophisticated MLOps, agent frameworks, and high-speed visualization—empower organizations to quickly prototype, deploy, and scale AI applications. The platform also offers native support for SAS language execution—one of only two platforms in the world with this capability—allowing customers to preserve and extend the value of their existing analytics investments while modernizing their workflows. Another notable differentiator is Altair RapidMiner’s massively parallel processing (MPP) graph engine designed to support knowledge graph creation, data fabrics, and ontology modeling at enterprise scale.
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According to the report, “Leaders in this market have a mature, refined and targeted company and platform strategy that incorporates and leverages GenAI and AI agents to drive their customers’ business value. They see opportunities for leveraging agents that other providers may not see or have made significant investments above and beyond standard offerings. They have the capability to innovate at a speed that outperforms other vendors. In addition, they can clearly articulate how they provide value to the multiple types of personas involved in the process of building data science and machine learning models.”
Magic Quadrant reports are a culmination of rigorous, fact-based research in specific markets, providing a wide-angle view of the relative positions of the providers in markets where growth is high and provider differentiation is distinct. Providers are positioned into four quadrants: Leaders, Challengers, Visionaries and Niche Players. The research enables you to get the most from market analysis in alignment with your unique business and technology needs.
Source: PRNewswire