Abstract:

The "Digital Guyana" initiative centers on AskGov, an AI platform providing 24/7 consultancy to bridge the gap between remote entrepreneurs and central regulation. By simplifying complex filings like the Local Content Act via mobile devices, the government ensures small businesses can navigate legal frameworks previously accessible only to large firms. Once integrated, these businesses leverage predictive logistics to align production with global demand. Agencies like the GRDB and GuySuCo use AI-equipped drones and modeling to monitor crop health, reducing chemical waste by 15% and stabilizing supply chains against seasonal constraints. This precision is mirrored in the oil and gas sector. Digital Twins on vessels like the Liza Unity optimize maintenance through real-time virtual modeling, while AI-powered underwater vehicles provide high-resolution seabed mapping for low-impact resource extraction. Industrial efficiency further drives SME growth via modernized financial services. Institutions like Republic Bank now use AI credit scoring to analyze non-traditional data, unlocking capital for businesses without formal credit histories. This allows manufacturers like DDL to adopt dynamic pricing tools for international competition. Further, to ensure ethical growth, the EPA utilizes real-time AI monitoring to track offshore production and waste. By automating Local Content Act compliance, the government ensures expansion translates into fair employment for the Guyanese workforce. Finally, advancements are secured within Silica City, where 3D AI models of power grids and drainage systems predict koker/sluice failures, ensuring infrastructure remains resilient against climate change.

References:

[1].   Aize, 2023, Aize signs agreement with ExxonMobil Guyana and SBM Offshore to deploy digital twin software offshore Guyana. Retrieved from https://www.mynewsdesk.com/aize-as/pressreleases/aize-signs-agreement-with-exxonmobil-guyana-and-sbm-offshore-to-deploy-digital-twin-software-offshore-guyana-3300052

[2].   Avakov, Varma, 2024, Leveraging AI-Driven Business Analytics for Enhanced Decision Making in Small and Medium-Sized Enterprises. ResearchGate. Retrieved from https://www.researchgate.net/publication/385096570_Leveraging_AI-Driven_Business_Analytics_for_Enhanced_Decision_Making_in_Small_and_Medium-Sized_Enterprises

[3].   Abayomi, F.; Thomas, K., 2024, Utilizing AI to predict market trends and optimize supply chain strategies. ResearchGate. Retrieved from https://www.researchgate.net/publication/387321334

[4].   Bishop, M., 2021, Artificial intelligence in financial regulation: The SEC's use of machine learning for compliance monitoring. Journal of Financial Regulation, 32(4), 112-126.

[5].   Guyana Office for Investment (GO-Invest), 2021, Local Content Act and its impact on Guyana's economic development. Retrieved from https://www.goinvest.gov.gy

[6].   Ghosh, S., 2021, Walmart's AI-powered supply chain: The future of retail logistics. Harvard Business Review. Retrieved from https://hbr.org

[7].   GeekyAnts, 2023, How artificial intelligence is transforming dynamic pricing in F&B and hospitality. Retrieved from https://geekyants.com/blog/how-artificial-intelligence-is-transforming-dynamic-pricing-in-fb-and-hospitality

[8].   Hootsuite, 2024, Using AI for social media trend analysis and customer engagement: A case study in SMEs. Retrieved from https://www.hootsuite.com

[9].   International Journal of Scientific Research & Applications (IJSRA), 2024, The role of AI in market trend analysis and forecasting. Retrieved from https://ijsra.net/sites/default/files/IJSRA-2024-1291.pdf

[10].  IBM, 2022, AI for environmental risk monitoring and sustainable business practices. IBM Journal of Technology, 39(2), 145-158.

[11].  Johnson, L., 2022, AI-powered demand forecasting: How Amazon optimizes supply chains. Logistics & Supply Chain Management Journal, 34(2), 45-60.

[12].  Jones, P., 2020, Enhancing public sector audits with AI: The UK’s National Audit Office experience. Public Administration Review, 50(2), 87-101.

[13].  Jia, X., Sun, Y., Hou, J., & Li, B., 2022, AI-driven predictive maintenance for sustainable industrial systems: A comprehensive review. Journal of Cleaner Production, 345, 130987. Retrieved from https://doi.org/10.1016/j.jclepro.2022.130987

[14].  Kaieteur News, 2023, Guyana now equipped with technology to monitor every drop of oil—EPA. Kaieteur News Online. Retrieved from https://www.kaieteurnewsonline.com/2023/02/22/guyana-now-equipped-with-technology-to-monitor-every-drop-of-oil-epa

[15].  Kumar, P., Singh, R. K., Gupta, S., & Kumar, R., 2021, Artificial intelligence applications in environmental monitoring and sustainability: A review. Environmental Science and Pollution Research, 28(32), 43866-43884. Retrieved from https://doi.org/10.1007/s11356-021-14655-6

[16].  Kanerika, 2023, Generative AI for marketing: Revolutionizing customer engagement with AI-driven analytics. Retrieved from https://kanerika.com/blogs/generative-ai-for-marketing

[17].  Loom, 2024, Enhancing customer engagement with AI-driven chatbots: Loom’s approach to personalized communication. Retrieved from https://www.loom.com

[18].  LeewayHertz, (n.d.)., AI in demand forecasting: Benefits, use cases, and future scope. Retrieved from https://www.leewayhertz.com/ai-in-demand-forecasting/

[19].  Maxar, 2023, Maxar to provide environmental monitoring for the government of Guyana. Maxar Technologies. Retrieved from https://www.maxar.com/press-releases/maxar-to-provide-environmental-monitoring-for-government-of-guyana

[20].  Numalis, 2023, AI in the oil and gas industry. Numalis. Retrieved from https://numalis.com/ai-in-the-oil-and-gas-industry

[21].  Ocean Infinity, 2023, Ocean Infinity to support ExxonMobil in Guyana. Ocean Infinity. Retrieved from https://oceaninfinity.com/ocean-infinity-to-support-exxonmobil-in-guyana

[22].  OmniLens, 2024, AI-powered market analysis for retail SMEs: Optimizing sales, pricing, and inventory. Retrieved from https://www.omnilens.com

[23].  Patel, R., 2020, AI in Indian agriculture: Enhancing productivity and supply chains. International Journal of Agricultural Science and Technology, 15(3), 112-125.

[24].  Regona, M., Yigitcanlar, T., Hon, C., and Teo, M., 2024, Artificial intelligence and sustainable development goals: Systematic literature review of the construction industry. Sustainable cities and society. ScienceDirect. Retrieved from https://www.sciencedirect.com/science/article/pii/S2210670724003251

[25].  Siemens, 2023, Leveraging AI for energy-efficient operations: Predictive maintenance at Siemens. Retrieved from https://www.siemens.com

[26].  Smith, J., 2022, AI-driven demand forecasting in fuel distribution: A case study of Shell. Energy & Logistics Journal, 28(2), 45-60.

[27].  Smith, J., 2023, The impact of artificial intelligence on modern retail operations. International Journal of Business & Technology, 29(4), 112-130.

[28].  Santos, P., 2022, Leveraging AI in governance: Enhancing transparency in compliance and audits in developing countries. Journal of Technology and Policy, 15(3), 45-58.

[29].  Tesla, 2023, AI-driven sustainability: Reducing waste and improving resource efficiency in manufacturing. Retrieved from https://www.tesla.com

[30].  GRDB (Guyana Rice Development Board)., 2025, Implementing Multispectral Drone Technology for Rice Yield Optimization. https://grdb.gy/

[31].  GuySuCo, 2025, Modernizing the Sugar Industry: AI and Mechanization at Albion Estate.

[32].  Ministry of Housing and Water, 2026, Silica City: A Blueprint for AI-Integrated Smart Urbanism in Guyana.

[33].  Ministry of Natural Resources, 2025, The National Mineral Mapping Project: Leveraging AI for Geological Exploration. https://dpi.gov.gy

[34].  Office of the President of Guyana, 2026, AskGov: Democratizing Public Policy Access through Generative AI.

[35].  Guyana Association of Bankers, 2025, FinTech and AI: Expanding SME Credit Access in Emerging Markets. https://gabigy.org/