Digital Mission

Transformative Academia

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Data-Driven Career Services

Current Situation

Institutions need to consolidate career guidance efforts digitally through skills profiling, professional events compilation, job matching, mentorship, and career counselling in to one platform. This way, students ‘postgraduation engagements with the institution are improved and high-level strategic reports can be generated for effective resource planning and allocation of talent development.

 

 

 

 

 

Goals and Objectives

Keep up with industry changes and talent requirements of hiring organizations through job/skill readiness assessments, career path suggestions, access to real-time labor market information, networking and mentorship platforms, collective job postings, and online courses.

Technology Deployed

AI, big data and predictive analytics, cloud open data platform, mobile-ready interface, and networking and mentorship interaction platforms

 

Use Case Summary

Schools use AI and analytics solutions to understand the job skill opportunities and to create “industry ready” graduates—such as commissioning a skills-based mentorship intelligent system, a personalized learning platform to match individuals with relevant training to close skills gaps or a career matching system to provide individualized job recommendations.

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