October 28, 2022

Higher Ed: AI Clearing a path to higher education

Higher Ed: AI Clearing a Path to Higher Education

Student enrollment in Higher Education Institutions (HEI) has been exhibiting a declining trend, and the pandemic and the economic downturn threw in an additional degree of uncertainty. The low-income and first-generation college students are contributing to this in a significant way. In addition, HEIs are also impacted by the ‘summer melt’ phenomenon, where students who intended to join failed to enroll.

HEIs must find new ways to engage with prospective students, tailor their acquisition strategies, advance student journeys, and deliver enhanced student experiences. In addition, HEIs must explore transformative methods to increase revenue and tap deeper into their alums and donor network for endowments. AI products go a long way in addressing the challenges that HEIs are facing.

Boosting Student Enrollment

Machine Learning models take in staggering amounts of data from varied sources, such as internal historical data from academic institutes and public data related to education, economics, and population. It can harness the power of this data and find patterns and insights that help identify and attract the most promising prospective applicants. The models can help remove biases and enhance student enrollment by giving insights into high schools in underserved zip codes and recommending the best-fit prospective students. In addition, AI tools lower marketing and research costs.

ElectrifAi’s ML-powered Higher Education product

ElectrifAi’s ML-powered Higher Education product powers student enrollment, reduces attrition, helps grow market share, and drives-up alumni engagement. It allows you to anticipate students at risk of dropping out, enables early intervention,and enhances the overall student experience.

A leading Global Healthcare Education organization was looking to expand its student base. ElectrifAi’s HigherEdAi leveraged data and ML to identify and attract students with a higher enrollment certainty. The propensity model successfully optimized conversion across different stages of the student application pipeline.

ElectrifAi: US' leading ML products provider

ElectrifAi is one of the US' leading ML products providers, with an extensive library of pre-built ML products enabling our clients to capture tangible benefits quickly. We work with the C-suite to understand and solve business problems through data and machine learning in diverse industries such as Higher Ed, BFSI, Life Sciences, Hospitality, Retail, Chemicals, Oil & Gas, Telecom, Insurance, etc. The insights generated by our ML products, such as ContactCenterAi, ReputationAi, InventoryOptimizationAi, RevCaptureAi and other products, have helped our clients realize consequential business outcomes in 6-8 weeks.

Our product does not require investment in a new platform or infrastructure. Instead, we leverage the data existing in your system to power the ML models to deliver business outcomes.

We are the last-mile product that sits on the top to solve specific business problems and bring about savings. Contact us to learn more!