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In today’s fast-paced business world, data management has become a crucial element for companies looking to digitize and streamline their processes. SAS, a leading provider of advanced analytics and AI solutions, has announced an alliance with Microsoft to enhance the integration of generative AI on its SAS Viya platform. This strategic partnership presents an opportunity to advance the adoption of generative AI solutions, which represent the next frontier in data management.

A recent study by The Futurum Group highlights that SAS Viya is faster and more cost-effective compared to commercial and open-source alternatives. The platform offers comprehensive data management capabilities that extend across various industries, making it a valuable resource for businesses looking to optimize their operations.

SAS Viya includes several features such as bias detection, model monitoring, governance, or accountability to demonstrate regulatory compliance. Additionally, the platform provides internal training on responsible innovation, allowing employees to learn how SAS software can help analysts use accurate data processing.

The use of AI and machine learning technologies has also found significant applications in the world of sports, where coaches can leverage these tools to identify patterns and trends that can improve team strategies and player performance. For example, the French Rugby team has only lost four matches in their last 30 official games due to technological advancements in sports science.

With Microsoft’s expertise in cloud computing and digital transformation, this partnership will enable companies to achieve greater decision speed using capabilities like synthetic data, digital twin simulation, and large language models. These advanced technologies can help businesses gain insights into complex data sets and make more informed decisions based on real-time information. Overall, this strategic alliance represents a significant step forward in the adoption of generative AI solutions and will undoubtedly have a positive impact on the future of data management in business.

By Editor

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