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: Author: Vijay Morampudi, Director, Wavelabs Technologies Generative AI has the potential to revolutionize industries as a whole. As a leader, it is crucial tocreate an effective generative AI strategy for your enterprise to stay competitive and take advantageof the technological advancementsThis article presents seven practical steps that can be followed to create a […]
Featured Article: Author: Prabhu Chandrasekaran AI has been there over a decade, and with Gen AI touching newer frontiers and pushing the envelope across boundaries irrespective of industries and part of the society, One thing that is clearly emerging world is not the same and – “Data” is not mere oil but a “Strategic Asset”. […]
Featured Article: Author: Mradul Jain, AB InBev Large language models, such as GPT, Llama, Bard, etc. have gained immense popularity for their ability to generate coherent and contextually relevant text. Evaluating the performance of these models is crucial to ensure their reliability and utility. To accomplish this, a range of metrics have been developed. In […]
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 […]