Beni-Suef Artificial Intelligence Laboratory (BAIL) is an international collaboration between Beni-Suef University and SAS® Institute INC.
BAIL is specialized to support students, researchers and society in fields of the artificial intelligence, data science, business analytics and customer intelligence.
BAIL created to enable the students, researchers and society with the artificial intelligence tools to provide the smart and intelligent solutions.
To become a global center of excellence in enabling artificial intelligence solutions and data science.
To empower the capabilities of artificial intelligence in various sectors through research and development, training, awareness based on best practices, the latest standards and technologies.
SAS is the world leader analytical company that enables more 83,000 business,
government and university sites in more than 147 countries. Its worth to say that 96
of the top 100 companies on the 2018 Fortune Global 1000 are SAS customers.
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The SAS Joint Certificate program is designed to assist universities in preparing students to work in a data-rich business environment. The joint certificate documents students’ coursework using SAS software to solve real-world business problems, giving students a competitive advantage in the job market. It's a great way to give special recognition to students who have shown excellence in using and applying SAS technologies.
Designed for individuals who can manipulate and gain insights from big data with a variety of SAS and open source tools, make business recommendations with complex machine learning models, and then deploy models at scale using the flexible, robust SAS environment.
Designed for individuals who wish to showcase their AI and Analytics Talent using open source and SAS tools to garner insight from data. Candidates exhibit skills in Machine Learning, Natural Language Processing, Computer Vision, and Model Forecasting and Optimization.
For individuals who want to analyze big data with a variety of statistical analysis and predictive modeling techniques
