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: Aditya Khandekar, President, Corridor Platforms India Objective There has been a lot of hype around Large Language Models (LLM) and their potential, but harnessing them to build real-world enterprise grade use cases is hard. This blog highlights key best practices and insights for building LLM powered use cases with a working example. […]
Featured Article: Author: Manoj Suryadevara, Walmart Global Tech Introduction Artificial Intelligence (AI) and data convergence have emerged as a mighty force driving innovation and reshaping industries worldwide in this digital age. AI enables machines to simulate human-like intelligence while data fuel AI algorithms. This symbiotic relationship between AI and data is at the heart of […]
We’re living in times of a great data paradox. One side of the paradox is the explosive growth of data in and around us. Here are some facts reported in IDC’s Global Data Sphere to corroborate this: – 59 Zettabytes – total volume of data processed in the year 2020– 26% CAGR – the forecasted […]
Artificial intelligence is transforming our lives at home and at work. At home, you may be one of the 1.8 million people who use Amazon’s Alexa to control the lights, unlock your car, and receive the latest stock quotes for the companies in your portfolio. In total, Alexa is touted as having more than 3,000 skills […]