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: Rajan Gupta, VP & Head of Research & Analytics, Analyttica Datalab Artificial intelligence (AI) has revolutionized the way businesses operate, and Generative AI (GAI) is quickly becoming a hot topic in this field. Generative AI is the technology behind applications that can produce new content, such as images, sounds, and even text. […]
Featured Article: Author: Soutrik Chowdhury & Sreedhar Sambamoorti, AB InBev Demand forecasting is the estimation of a probable future demand for a product or services based on historical trends, seasonal patterns and taking both internal and external factors into consideration Demand forecasting is crucial for activities such as supply planning, product manufacturing planning, and financial […]
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 […]
Featured Article Author: Sidhartha Shishoo, SG Analytics In today’s hyper-connected world, digital transformation has become more than just a buzzword—it’s a strategic imperative for businesses across sectors. As companies strive to meet evolving customer expectations, they’re leveraging technology, analytics, and AI to reshape the customer experience landscape. Let’s explore how this digital revolution is unfolding […]