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: Robin John, Artificial Intelligence Strategist, APAC, Kimberly-Clark Ever since ChatGPT was released last year, a flurry of LLM(Large Language Model) – related product announcements from tech giants have taken the world by storm. The key driving factor behind the success of ChatGPT is its human-like interface into AI. A technique called Reinforcement […]
Featured Article: Author: Vinodh Ramachandran, Neiman Marcus Group Through my experience working for large retail GCCs I. have observed that most retailers, in addition to having a central data & analytics team (typically within tech rolling up to the CIO), also have analytics teams within the businesses running independently and managing all their data, reporting […]
As driverless cars become a mainstream reality, AI is aiding it greatly to remove all barriers to autonomous function and humanization of its operation. The biggest challenge self-driving cars will have to overcome on the road is being able to react to the randomness of traffic flow, other drivers, and the fact that no two […]
Featured Article: Author: Jayachandran Ramachandran, Senior Vice President – Artificial Intelligence Labs, Course5 Intelligence The pandemic has created substantial changes in our shopping behavior. Even diehard offline buyers have moved to online channels, experiencing new ways of buying and fulfilling their needs through the digital ecosystem. Improving customer engagement and value realization by providing relevant […]