SAS helps deliver on the promise of enterprise analytics by providing a flexible and adaptable technology landscape that embraces many open technologies to ensure interoperability. It can be used to centralize analytics across various groups and helps organizations consolidate analytics assets with a unifying, governed platform.
Featured Article by Rahul Pandey, Data Science & Applied AI Practice Leader, C5i Beyond Understanding to Reasoning As AI systems evolve, the true benchmark is no longer their ability to comprehend it, it’s their ability to reason. Today, we stand at the edge of a significant breakthrough: Multimodal Chain-of-Thought Prompting (MCoT), a technique that allows […]
Featured Article Author: Vidhya Veeraraghavan, Standard Chartered In the Claims-2030 series of articles, Mckinsey emphasizes that by 2030, every touchpoint in the claims journey, starting even before an incident occurs, will be supported by a mix of technology and human touch that seamlessly interacts to expedite the process and deliver a better experience across the […]
Featured Article Author: Prabhu Chandrasekharan Artificial Intelligence (AI) is revolutionizing industries by driving automation, optimization, and innovation. As AI systems become more complex, establishing robust governance frameworks focused on ‘Data for AI’ is essential. This ensures data quality, security, and neutrality, leading to reliable AI outcomes. Effective AI governance hinges on several Key Performance Indicators […]
Adding a module that mimics part of the brain can prevent common errors made by computer vision models. Computer vision models known as convolutional neural networks can be trained to recognize objects nearly as accurately as humans do. However, these models have one significant flaw: Very small changes to an image, which would be nearly […]