The panel will develop predictive tools, standardize data across state platforms, strengthen cybersecurity and privacy safeguards, and support evidence-based decisions through automated analytics and real-time dashboards.

In a major push toward integrating cutting-edge technology into governance, the Higher and Technical Education Department of Maharashtra on Monday constituted a high-level “AI, Data Analytics & Dashboard Governance Committee.”
The initiative aims to harness Artificial Intelligence (AI), predictive analytics and automated decision-support systems across higher education institutions in the state.

The Government Resolution (GR), issued late Monday evening, marks a pivotal move aligned with the National Education Policy (NEP) 2020 and state IT and cybersecurity directives.
Prof Rajnish Kamat, Vice-Chancellor of Shivaji University, Kolhapur, heads the newly established governance panel. It comprises top administrators, technical experts and systems analysts from various state educational bodies. Members include Shrikant Pulkundwar (Joint Secretary, Higher & Technical Education Dept), Pratap Lubal (Joint Secretary), Ashok Mande (Deputy Secretary), Amol Mutyal (Deputy Secretary), Umesh Kokate (System Manager, Directorate of Technical Education, Mumbai), Narendra Patil (System Analyst, Directorate of Technical Education, Mumbai), Swapnil Korade (Statistical Officer, Directorate of Higher Education, Mumbai), Kunal Patil (Special Executive Officer, Maharashtra State Board of Technical Education, Mumbai) and Member Secretary Prashant Visalkar (Project Manager, Directorate of Higher Education, Mumbai).
The state government highlighted that the current Dashboard Portal, which centralises data across student enrolments, examinations, university affiliations, scholarships, public libraries and research journals, must transition from basic reporting into a data-driven, evidence-based decision-support system.
Key responsibilities assigned to the committee include: Formulating long-term AI strategies and identifying priority use cases; Establishing frameworks based on feasibility, cost, risk and readiness; Exploring deployment of Generative AI, Agentic AI, Machine Learning (ML), Optical Character Recognition (OCR), Computer Vision, Anomaly Detection and Natural Language Processing (NLP); Standardising data, classification, metadata and interoperability across multiple state platforms such as e-Office, MahaDBT, AISHE, NOC Portal, MIS and Sevarth; Developing automated trend analysis, risk forecasting and real-time decision-support modules for state leadership.
The committee will ensure strict compliance with cybersecurity, data privacy, personal data protection laws, human oversight and transparent, ethical AI usage. It will also suggest specialised training programmes in AI, Generative AI and digital transformation for department officials and staff.
The committee is mandated to meet at least once every three months to review progress. External subject matter experts and technology institution representatives may be invited as special attendees. The committee may set up specialised Technical Working Groups or Sub-Committees for focused domains like Cyber Security, Cloud Infrastructure and Analytics.
Quarterly progress reports will be submitted to the Additional Chief Secretary, Principal Secretary or Secretary of the Higher and Technical Education Department. Initially constituted for a three-year term, the committee will operate as a regular administrative body without additional honoraria or allowances for members.
Approved project expenditures will be funded via existing budgetary allocations under standard financial rules. Final approvals regarding policy implementation, financial procurement, system integrations and data sharing will remain under the jurisdiction of the Government of Maharashtra.
(Except for the headline, this article has not been edited by Education Post)

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