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Bijon Islam, CEO and Co-founder of LightCastle Partners, recently participated as a panel speaker at the Productivity & Quality Summit 2025, held in Dhaka. The summit brought together industry leaders, policymakers, technology experts, and practitioners to explore practical pathways for improving productivity, quality, and operational excellence across sectors.
Organized by QA Harbor Limited in partnership with Kazuko Bhuiyan Welfare Trust, and co-organized by SubscriptionPro, CORNQ, XOR Geek, and Nymph Solutions, the Summit focused on strengthening organizational performance through innovation, global best practices, and continuous improvement.
Bijon Islam attended the panel discussion on “Leveraging AI for Operational Excellence: Enhancing Productivity and Quality in the Digital Era.” During the session, he shared insights on how emerging technologies, particularly artificial intelligence, are redefining productivity frameworks and quality management across industries.
In his discussion, he highlighted several critical perspectives:
AI as an Enabler, Not a Replacement: He emphasized that AI should be viewed as a productivity enabler that augments human decision-making rather than replacing it. When applied thoughtfully, AI can streamline processes, reduce inefficiencies, and improve consistency in quality outcomes across operations.
Data-Led Quality Management: He also underscored the growing role of data in ensuring operational excellence. By integrating real-time operational data, organizations can move from reactive quality control to proactive quality assurance, identifying inefficiencies and risks before they escalate.
Contextual Adoption in Emerging Markets: He highlighted the importance of adapting AI solutions to local contexts, noting that successful implementation in emerging economies like Bangladesh requires alignment with workforce capabilities, infrastructure maturity, and organizational readiness.
Despite the promise of AI and digital tools, He noted that many organizations face structural and cultural barriers to adoption. Legacy processes, limited digital maturity, and resistance to change often hinder productivity gains. Additionally, without clear strategic objectives, technology investments may fail to deliver measurable improvements in quality or efficiency.
He also pointed to the need for leadership commitment and cross-functional alignment to ensure that productivity and quality initiatives are embedded into core business strategies rather than treated as isolated projects.
The Productivity & Quality Summit 2025 reinforced the importance of combining technology, strategy, and people to achieve sustainable operational excellence. The discussions underscored how AI, when deployed responsibly and contextually, can play a pivotal role in enhancing productivity and quality across industries.
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