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: Anirban Nandi, Vice President, AI Products & Business Analytics, Rakuten India We all have heard the old saying that “Data is the new oil”. But wait!! Is that completely true? Just like oil, unrefined data is of little to no use. So, allow me to correct the maxim a little – “Quality […]
Since its inception, AI has experienced at least two major hype cycles with resulting winters of disillusionment. Although after the first “winter”, many financial firms deployed a number of successful applications, by the 1990s, AI went into its second winter of disillusionment as realization set in that these systems were harder and more costly to build and maintain […]
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 […]
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 […]