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SAS: A Leader in AI Evaluations

SAS, known for its cutting-edge data analytics solutions, has once again solidified its position as a leader in the field of artificial intelligence (AI) and machine learning (ML). In 2024, the company received accolades from top analyst firms including IDC, Forrester, and Gartner. Remarkably, SAS emerged as the only company to be recognized as a leader in all four significant vendor rankings reports related to AI and ML.

The impressive achievements of SAS in the 2024 assessments include the following rankings:
- IDC MarketScape Worldwide Machine Learning Operations Platforms: SAS was named a leader in November 2024.
- The Forrester Wave™ AI / ML Platforms: A leader position was awarded in August 2024.
- IDC MarketScape Worldwide Decision Intelligence: SAS received a leader designation in August 2024.
- 2024 Gartner® Magic Quadrant™ for Data Science and Machine Learning: SAS was recognized as a leader in June 2024.

These acknowledgments reflect SAS's commitment to delivering a comprehensive and high-performing analytics platform. The SAS Viya® platform, its crown jewel, is particularly noted for its capabilities across all stages of AI/ML development and decision-making.

"Organizations around the world are exploring how data and AI can help lower costs, improve efficiency, and create a competitive advantage. SAS is relentlessly focused on helping them achieve this goal with the fastest and most productive data and AI portfolio in the market," commented Bryan Harris, Executive Vice President and Chief Technology Officer at SAS. He further noted that SAS is not only proud of these recognitions but also committed to driving innovation across its solutions.

In 2024, SAS announced the introduction of generative AI capabilities and launched the SAS Viya Workbench, a developer environment designed for building AI models. This initiative showcases SAS's commitment to staying ahead of the curve in utilizing the latest technologies to enhance the effectiveness and productivity of its solutions.

Unmatched Productivity with SAS Viya

A recent study conducted by The Futurum Group highlighted the efficiency of SAS Viya in the analytics space. The findings revealed that the platform enables its users to execute an end-to-end AI and data management lifecycle over 4.6 times faster than several selected competitors. When compared to a leading commercial data management environment, as well as popular open-source solutions like Jupyter Notebook integrated with MLflow and various Python libraries, SAS Viya stood out significantly.

Russ Fellows, VP and Analyst at The Futurum Group, stated, "Testing showed that an end-to-end data and AI lifecycle can be achieved with more than 4x greater productivity in SAS Viya than in competitive solutions. The ability to quickly begin working, together with SAS Viya's productivity, enables AI teams to rapidly produce business results and insights from their data."

This remarkable productivity level is a game-changer for teams working with data, as it significantly shortens the time between data collection, model building, and decision deployment, thereby accelerating business outcomes.

Join the Conversation

SAS invites industry leaders and analytics professionals to explore the latest advancements in data and AI. The upcoming SAS Innovate event, scheduled for May 6-9, 2025, in Orlando, FL, aims to foster discussions around the latest trends, insights, and innovations in data analytics. Interested individuals can register via the SAS website to ensure their participation.

In conclusion, SAS's relentless pursuit of excellence and innovation in AI and ML positions it uniquely in the market, paving the way for organizations worldwide to harness the full potential of their data. The company continues to empower various industries by equipping them with tools that not only streamline analytics processes but also foster informed decision-making and strategic advantages. With a proven track record of leadership in analyst evaluations, SAS remains an influential force in the shaping of the future of data and AI technologies.