SAS' Data Science Tools Empowered by ML Solutions Recognized by Independent Research Firm

Date : 21-Sep-2020
Location: Kuala Lumpur


SAS,the leader in analytics.

Key Takeaways:

SAS Machine Learning Quick Facts
SAS Machine Learning Quick Facts


SAS Viya,an AI, analytic and data management platform, is designed to be delivered and updated continuously, enabling organizations to make better decisions, faster through cloud-native advanced analytics and AI accessible for users of all skill levels.


Susan Kahler Artificial Intelligence and Machine Learning Strategist at SAS,said,the key value proposition is a single and collaborative platform which offers end-to-end data mining and machine learning processes to solve data science issues.


  • SAS' competitors in this space are IBM and RapidMiner,among others.
  • With SAS, users can innovate faster, offer cloud solutions, and integrate with external services and open source tools.
  • On 21-Aug-2020, SAS was named a Leader in the 2020 Gartner Magic Quadrant for Data Quality Solutions based on completeness of vision and ability to execute. This is the 14th consecutive time that SAS has been named a Leader.
  • On 30-Jun-2020, at the virtual SAS® Global Forum 2020, the company recognized the educators and students who are teaching, learning and using SAS in innovative ways - refer to SAS Academic program.
  • In response to COVID-19, SAS launched flexible, free learning programs.
  • Hop into the data science bandwagon.
  • Explaining Data Science to Your Grandparents.

SAS Competitors in Multimodal Predictive Analytics and Machine Learning Solutions
SAS Competitors in Multimodal Predictive Analytics and Machine Learning Solutions

Editor's comments:

  • The tools provided by SAS are meant for data scientists who work for big and small enterprises.
  • Think of a data scientist as an internal consultant who performs similar feats as a McKenzie consultant, who helps companies to derive decision making conclusions based on data (of both private owned and public domain.)
  • Data scientists are racing time to compete with the rise of general A.I.
  • In other words, the consulting industry was the mother of data science industry while general A.I will be the child of the data science industry.