Re-architecting Higher Education Systems: Embedding AI into the Digital Infrastructure
Camu hosted the Pulse by Camu Leadership Roundtable in Pune, in association with ET Education, bringing together higher education leaders, academic decision-makers, and digital transformation experts for a focused discussion on AI in higher education.
Held on 13th June 2026 at Novotel Pune, the roundtable explored how institutions can embed AI into their digital infrastructure while addressing governance, data privacy, faculty adoption, student outcomes, and measurable institutional impact.
The discussion reflected one clear message: AI adoption in higher education needs more than interest. It needs strong systems, responsible governance, practical use cases, and a clear focus on academic value.
Pulse by Camu is Camu’s thought leadership initiative created to host leadership roundtables and knowledge-led conversations on higher education transformation, digital innovation, AI adoption, governance, and the future of learning.
The Pune edition was hosted in association with ET Education, bringing together institutional leaders for a focused dialogue on the role of AI in higher education systems.
Titled “Re-Architecting Higher Education Systems: Embedding AI into Digital Infrastructure,” the conversation moved beyond broad discussions around AI. It focused on how institutions can implement AI in a practical, ethical, and scalable manner.
Leaders shared their perspectives on faculty readiness, student learning, assessment innovation, placement outcomes, digital infrastructure, and the role of connected institutional systems in supporting AI adoption.
Director, Research
Dr. D. Y. Patil Vidyapeeth
Looking at the services currently provided by Camu, I feel this is the need of the hour. Higher education institutions need to incorporate artificial intelligence into their day-to-day processes.
Director, ICT
MIT Art, Design & Technology University
Brainstorming sessions like these are important to understand what is happening in the market, how we adapt to it, and what challenges we need to address.
Principal
Bharati Vidyapeeth Deemed University
AI should be used ethically and within an ecosystem. It should act as a supporter and facilitator for students and faculty.
Universal AI University
The unique aspect of the Camu platform is that it provides an end-to-end solution, right from student admission to placement.
Director, Research
Sharda Education Society
When I saw the presentation by the Camu team, I was very impressed. I would definitely recommend Camu in my institution.
NICMAR University, Pune
In today’s education system, personalized learning is definitely required. Camu has features that capture the student’s perspective very well.
The discussion reinforced a clear direction for higher education institutions. AI needs a strong digital foundation. For AI to deliver meaningful outcomes, institutions need connected systems. When these systems operate in isolation, AI adoption becomes limited. When they work together, institutions gain better context, stronger governance, and clearer visibility.
Camu supports this through a unified digital campus platform that brings academic and administrative workflows together in one connected ecosystem.
The Pune Leadership Roundtable concluded that AI presents strong opportunities for higher education, but successful implementation requires a balanced approach.
Institutions need to combine AI innovation with robust digital infrastructure, ethical governance, data privacy, human oversight, and measurable academic outcomes. For AI to create real value, it must support students, faculty, administrators, and leadership through a connected, governed, and outcome-driven digital ecosystem.
The Pulse by Camu Leadership Roundtable in Pune brought together valuable perspectives on how higher education institutions can approach AI with clarity and responsibility. The conversations highlighted the need for practical implementation, strong governance, phased adoption, and connected infrastructure.
As institutions prepare for the next phase of digital transformation, AI readiness will depend on how well technology, people, data, and academic goals are brought together.
