AI Solutions for Higher Education
We use advanced AI and Machine Learning techniques, including Generative AI and Deep Learning, to custom build personalized recommendation engines for higher education sector.
Increase
New Student Enrollments
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Description:
Predict enrollment propensity for each prospective student.
Recommended Actions:
Prioritize outreach efforts
Teams Involved:
Marketing, Recruitment, Admission, Enrollment -
Description:
Recommend the best date-time to call each prospective studentRecommended Actions:
Optimization call center resource and scheduleTeams Involved:
Recruitment, Admission, Enrollment -
Description:
Identify the best contact channel for each prospective studentRecommended Actions:
Contact each prospective student with their preferred channelTeams Involved:
Recruitment, Admission, Enrollment
Student and Business Outcomes
Improve
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Description:
Identify specific areas for improvement and provide actionable recommendations, by continuously analyzing data such as call, survey, chat, email and social data. Substantial improvement in accuracy through ChatGPT technologyRecommended Actions:
Develop school-level initiatives to improve student services and engagementsTeams Involved:
Student Engagement, Services, Leadership -
Description: Developed a Chatbot Leveraging Large Language Model GPT4 to enhance medical inquiry-response related to Pre-eclampsia medical conditions, in collaboration with Institute of Genome Sciences, School of Medicine, University of Maryland.
Recommended Actions: Expand the scope to include other medical conditions.
Teams Involved: Medical School Researchers
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Description: Developed a Chatbot Leveraging Large Language Model GPT4 to enhance medical inquiry-response related to pre-term medical conditions, in collaboration with Institute of Genome Sciences, School of Medicine, University of Maryland.
Recommended Actions: Expand the scope to include other medical conditions.
Teams Involved: Medical School Researchers
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Description: Predict the propensity of a student failing any registered course and provide personalized recommendations for each student.
Recommendations: Provide personalized recommendation for at-risk students.
Teams Involved: Student Success, Academic, Tutor -
Description:
Predict the propensity of a student failing to enroll in the next term and provide personalized recommendations for each student’s advisor.Recommended Actions:
Prioritize outreach with personalized action plan. Enhance student service and engagement.Teams Involved:
Student Success, Academic, Tutor, Student Services -
Description:
Provide intelligent answers and engaging conversations with your customers. Powered by ChatGPT technologyRecommended Actions:
Upgrade to AIME ChatbotTeams Involved:
Technology, Marketing, Operation -
Description:
Create test bank at scale, to help assess students’ mastery of critical concepts and skills for any course. Powered by ChatGPT.
Recommended Actions:
Use AIME Test Bank product to improve faculty productivity and student’s self-assessment and personalized study plan.
Teams Involved:
Academic, Curriculum Design, Technology
Optimize
Business Operation
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Description:
Forecast new student enrollment # for each inquiry cohort scenario in the next 24 months.
Recommendations:
Identify best marketing spend scenario to achieve enrollment targets.
Teams Involved:
Finance, Marketing, Operations -
Description:
Forecast monthly graduation #for each student cohort in the next 24 months
Recommendations:
Short- and long-term financial planning
Teams Involved:
Finance, Operations -
Description:
Forecast monthly enrollment number in the next 24 monthsRecommended Actions:
Short- and long-term financial planningTeams Involved:
Finance, Operations -
Description:
Forecast number of student registrations for each course sessionRecommended Actions:
Faculty and classroom capacity planning to balance cost and student experienceTeams Involved:
Finance, Academic, Operations -
Description:
Develop price elasticity curves for different student segments for pricing optimizationRecommended Actions:
Recommend optimal price discount for different segments to maximize revenueTeams Involved:
Finance, Operations, Marketing -
Description:
Quantify impact of media channel, pricing, and spend level on student enrollmentsRecommended Actions:
Recommend optimal allocation of different media spends to maximize ROITeams Involved:
Finance, Marketing, Operations -
Description:
Fractional attribution of digital touch points impact on the student enrollments
Recommended Actions:
Recommend digital touch point frequency, sequence, and interval to maximize student enrollments
Teams Involved:
Marketing, Operations
Our Solution Advantages
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