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Coforge Data and AI Lab
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Description
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About

A formal Memorandum of Understanding (MoU) has been signed between Coforge and IIT BHU to establish and support the Coforge Data and AI Lab. This CSR initiative aims to upskill students, provide real-world exposure, and build a sustainable model of industry-academic collaboration.

Vision

To build a future-ready, inclusive, and innovation-driven AI & Data Research ecosystem at IIT BHU that empowers students to solve real-world problems through cutting-edge research, collaboration, and skill development.

This initiative aims to foster collaborative research, skill enhancement in Data and AI technologies and foster a collaborative environment that benefits both the academic community and the industry.

Mission

At the Coforge Data & AI Lab at IIT BHU, our mission is to advance the frontiers of artificial intelligence and data science through cutting-edge research, innovative education, and impactful collaborations. We strive to:

  • ✔ Innovate: Develop pioneering AI and data science technologies that address real-world challenges and drive societal progress.
  • ✔ Educate: Equip the next generation of leaders with the knowledge and skills to excel in the rapidly evolving fields of AI and data science.
  • ✔ Collaborate: Foster interdisciplinary partnerships with academia, industry, and government to accelerate the translation of research into practical solutions.
  • ✔ Ethics and Responsibility: Promote the ethical use of AI and data, ensuring our advancements benefit all of humanity and uphold the highest standards of integrity and transparency.

Together, we aim to create a future where AI and data-driven insights empower individuals, enhance industries, and enrich society.

🚀 Key Activities

Research & Development

Conducting research in Data, Analytics, and AI involving students, faculty, and industry experts to develop industry-relevant solutions and thought leadership.

Skill Development and Certifications

Train students in foundational tech skills like Cloud, Data Management, and AI/ML through academic projects, structured training, and industry-standard certifications.

Publications and Patents

Actively publish in reputed journals, present research at conferences, and file patents for innovative outcomes.

Open-Source Community Contribution

Use and contribute to open-source tools, code, and algorithms via platforms like GitHub.

Development of Specific Use Cases

Identify and develop AI/data use cases like Streaming Analytics, Finetuning LLMs for domain-specific tasks, GenAI for knowledge management, etc., through academic-industry collaboration.

Mentoring & Workshops

Organize regular expert talks, workshops, and mentorship sessions.

Replicable CSR Model

Establish this initiative as a replicable model for CSR–academic collaborations across India.

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