Intelligent Institutions - Future of Enrollment
Summit Stage Recording
About the Speaker
Venkat Srinivasan Managing Director - Higher Education @ Wipro Limited
- Venkat has over 25 years’ experience with strategy, technology and operations of the education industry. Venkat's areas of interest and expertise include higher education management, student retention and digital technology solutions for connected student experience. Venkat has published several thought leadership point of views and has been a speaker at industry events.
- In his current role, he will be responsible for spearheading the growth of the Education vertical for Wipro and pursuing strategic business development opportunities in the US market and help scale the Education portfolio.
- Previously Venkat was leading Cognizant’s foray into the higher education domain. He was responsible for positioning Cognizant as the pre-imminent provider of technology solutions and services to the education industry and enabling alliances and partnerships with product companies in the industry. Prior to Cognizant, Venkat managed NIIT's enterprise learning technology and services business for the Education and publishing industry verticals in US & Europe.
The Story
- Incredibly inefficient, ineffective, expensive. Universities recruit far and wide to expand their pool of applicants in the hope of finding that perfect student.
The Why
- 1.How do we increase the number of applicants and acceptances without compromising the quality of the process and lower costs? Broaden the funnel; process efficiency and balance quality with quantity of output
What's Next
- Digitize documents, classify and segment, score and predict student overall fitment to program and university
- Benchmark students based on personality survey to identify ideal and diverse students
- Rule based criteria to score potential students
- Measuring qualities that aren’t quantifiable (extracurricular activities, essays, and recommendations) converted to score based value and used for comparison using text mining, sentiment analysis, deep learning
- Increase transparency in the admission process
- Reduce bias
- Data driven decisions
- Minimal human oversight with focus on process driven approach
- Improving quality of students along with increase in quantity of
- Using AI to identify ideal student that embodies the university value and mission
Call to Action
- Create a plan for 30-60-90 day plan with incremental approaches to making your admission process smart
- Review current value chain for admission and remove inefficiency using automation
- Using current data and historical data to build patterns and models
- Gaps analysis – focus on rapid innovation
- Building predictive models for admissions, marketing yield, acceptance rates and other measures
- Focus on automation areas
Closing Thoughts
Contact:
What will you do with what you just learned?
"You can design today for tomorrow, or you can design tomorrow, today."
