ISLAMABAD: The Federal Board of Revenue and the ‘Technology for People Initiative (TPI)’ of Lahore University of Management Sciences (LUMS) signed an MoU at FBR headquarters today for future collaboration in the use of machine learning and data analytics.
The ceremony was witnessed by Chairman FBR, Mr. Rashid Mahmood Langrial, along with other senior officials from FBR and LUMS. On behalf of FBR, Mr. Muhammad Junaid Jalil Khan, Member Customs (Operations), and on behalf of LUMS, Dr. Muhammad Fareed Zaffar, Director of TPI-LUMS, signed the MoU.
The collaboration between Customs and TPI is aimed at enhancing the efficacy of the Customs Risk Management System to facilitate cross-border trade. This will help minimize human interface while ensuring improved regulatory compliances including yield of due revenues by enabling Customs to control mis-invoicing.
This collaboration will also extend to the design of the National Targeting Centre (NTC) aimed at profiling and targeting persons, entities and conveyances which are involved in the movement of illicit goods. NTC is an ICT-based platform used globally for information sharing and targeting by Customs and other agencies.
FBR & LUMS signed an MoU to collaborate on machine learning & data analytics. Chairman FBR, Mr. Rashid Mahmood Langrial, & other senior officers from both sides witnessed the ceremony. Member Customs(Ops) Junaid Jalil Khan & Director TPI-LUMS, Dr. Fareed Zaffar signed the MoU.1/4 pic.twitter.com/tFyKHkPlKw
— FBR (@FBRSpokesperson) September 9, 2024
The Chairman FBR emphasized closer collaboration between public sector organizations and academia for the transfer of knowledge and the development of indigenous solutions. The TPI aims to bridge the gap between academics and the public sector to stimulate a culture of research and evidence-based policymaking and provide citizens and policymakers with open access to data and research to improve transparency and accountability.
Pakistan Customs is expected to capitalize on the vast experience of TPI-LUMS which is providing custom-made technological solutions to public sector organizations on pro-bono basis leveraging machine learning and data analytics.
