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: Abhishek Sengupta, Walmart Global Tech India Introduction: A necessary but often tedious task data scientists must perform as part of any project is quality assurance (QA) of their modules so as to prevent any unforeseen incidents during deployment. While Quality Assurance and Excellence is quite prevalent in Data Engineering, QE in Data […]
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 […]
Believes Atanuu Agarrwal from Upside AI, this and much more in a conversation with Sumit Chanda from JARVIS by Monitree, Siddharth Panjwani from K2 Capital, and Atanuu. With the world moving too fast and data piling up by every millisecond, why haven’t we fully utilized the capabilities of technology to carry out Smart Investing for […]
AI or Artificial Intelligence is a Data Science Function that trains the computers to learn through experiences and perform tasks at cognitive levels adjusting to certain inputs. Artificial Intelligence is a field of Data Science and over the years it has emerged as a significant function across all businesses. AI or Artificial Intelligence is a […]