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Contemporary organizations and society are challenged unlike ever before by climate change, cybersecurity, and supply chain earthquakes, pandemics, and infrastructure breakdowns and require innovative solutions to create resilient systems. This literature review discusses the way in which the coming together of artificial intelligence, machine learning, internet of things, big data analytics, and blockchain technologies in unison can increase resilience in various areas. The research problem revolves around the ways these emerging technologies can be used hand in hand with each other and result in the following outcomes: predictive capabilities, adaptive response, distributed trust mechanism, and real time intelligence which makes systems resilient. This review integrates the existing studies on the topics of smart cities, healthcare system, supply chain management, disaster response, the protection of critical infrastructure, and financial services, following the PRISMA approach. It has been found that cohesive technology solutions show a higher level of resilience performance relative to isolated ones, especially increased situational awareness and automated deep decision-making, decentralized governance, and procedural accountability. Important observations suggest that predictive analytics powered by AI with the use of IoT sensor networks make a reaction to risks in advance possible, whereas blockchain holds the data integrity and its credibility in distributed systems. But there have remained considerable gaps on the realms of standardization, interoperability issues, ethical concern, energy consumption as well as scalability drawbacks.
