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.
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: Sai Nikhilesh Kasturi, Data Science & Analytics, Customer Insights & Analysis, American Airlines One of the foremost interesting and challenging things about data science hackathons in Kaggle is struggling to maintain the same ranks on both public and private leader boards. I also have been a victim in struggling to keep the […]
Featured Article: Author: Deependra Singh, VP & Head Data Science and Analytics, Network 18 In recent years, the term “Artificial Intelligence” has been making headlines in almost every industry. From healthcare to finance, AI is transforming the way we work and live. But what about the media landscape? Could AI be a game-changer in this […]
Featured Article: Author: Nitin Srivastava, Director – Data & Analytics, Advance Auto Parts India To ride this tide of disruption, it is crucial to understand the pulse of customer behavior and demand and integrate it into a digital first approach. One of the key changes brought about by the COVID pandemic was the acceleration of […]