Hi, team. the topic today is military digital transformation, accelerating strategic advantage through cloud AI integration and smart workflow orchestration. So as we all know, the military landscape is rapidly changing driven by the convergence of cloud computing AI and more sophisticated workflow orchestration. So this presentation explores how these technologies are transforming the military operating operations, accelerating operational efficiency and enhancing their strategic capabilities. We'll also examine the real world examples of how these implementations have been successful and address the key challenges and opportunities associated with this digital transformation. So coming to the power of AI cloud integration, so we split this as two sections. First one is the enhanced situational awareness and second one is the improved decision making. When you come to the enhanced situational awareness, the first one is the we know that advanced cloud AI architectures have fundamentally transformed the military intelligence, thereby enabling the commanders to synthesize multi source data streams in real time situations. Also, they have integrated machine learning and distributed computing. and these systems deliver 2. 5 times enhancements in the battlefield situations and also provided, an unprecedented granularity and more, Predictive insights that empower the strategic decision making during the real time situations. Second one is the improved decision making. there are like a lot of next gen AI algorithms that have leveraged the predictive analysis and the complex computational models that process the mission critical information at unprecedented speeds. thereby reducing the decision cycles by at least 67%, these intelligent systems have enabled the military leaders. To proactively, identify emerging threats, dynamically assessing the operational risk and executing the strategic responses with a remarkable precision and efficiency. Next comes is the transforming the military operations. So here we split them as at least three sections. The first one is the precision strikes. So the advanced AI algorithms have, have enabled the much particular, advanced drone targeting with, unprecedented accuracy and thereby reducing unintended casualties by up to 50%. And that also revolutionizes the pressure of military engagement strategies. Second one is the cyber defense. So the machine learning driven security systems have now proactively, they detect and utilize cyber threats. Providing a comprehensive defense mechanism that runs in 94 percent of potential beaches and accelerates incident response by 76%. So that's a remarkable figure. Third one is the logistics optimization. The intelligent workflow orchestration, has transformed the military supply chains to real time data analysis. Thereby achieving 70 percent, 71 percent, improvement in the resource allocation and dramatically enhancing the operational responsiveness and strategic mobility. So this in turn reduces the overall cost because it was very careful in choosing its resources. next one is the rebellion, is about, next one is talk about is how we have revolutionized the military training. First one, it comes to the AI powered simulations. there are a lot of cutting edge AI driven training simulations that create hyper realistic adaptive environments that enables the military personnel to master the critical skills with their efficiency and thereby delivering a remarkable 64 percent in the real time operational readiness and compressing the training timelines by at least 59%. It also has enhanced accuracy. So these intelligent algorithmic analysis provides instantaneous and more precision targeted feedback during training, thereby enabling personnels to, enabling the specific personnel to rapidly identify and rectify performance gaps, thereby dramatically enhancing the tactical effectiveness and operational competence. Next, we see the synergy of these integrated systems. First one is a data integration. So the advanced cloud AI systems have dynamically aggregated multi dimensional data streams, creating a holistic operational intelligent workflow that enables the real time, decision making across strategic and then operational command levels. So they can handle a huge volume of data and also provide information more accurately. Second one is a workflow orchestration in the case of a workflow orchestration. So this intelligent workflow orchestration, have has leveraged machine learning to autonomously streamline complex workflows, thereby systematically igniting manual bottlenecks and empowering multiple and empowering military personnel to concentrate on high value strategic initiatives with an unprecedented operational precision. Third one is a continuous learning. The adaptive AI algorithms have utilized more sophisticated ML models to continuously analyze operational data, generate predictive insights that dynamically evolve tactical capabilities, and thereby enhancing the strategic responsiveness in rapidly changing environments. So next coming, next we come to the real world case studies. So first is the machine success. By integrating these cloud AI technologies, A personalized military unit has transformed operational capabilities, achieving a remarkable 3. 2 times surge in the mission effectiveness, while simultaneously reducing the deployment cost by 38%, which has, which has a capability of a predictive analysis that by showcasing the transformative potential of digital innovation. Second one is the rapid response. So when we leverage this cutting edge AI powered decision. Support systems are tactical unit rebels has revolutionized threat analysis, delivering an unprecedented 91 percent accuracy in threat deduction and assessment that by enabling unprecedented speed and precision in complex operational environments. Third one, we have the resource optimization. As we said earlier, it uses predictive analysis that, that has carefully chosen the resources. So this, so through the strategic implementation of smart workflow orchestration, a logistics unit achieved a game changing, 100 percent optimizing supply chain management that ensured critical resources are dynamically allocated with unprecedented efficiency and responsiveness. Next, we have to address some of the challenges. The first one is data security. So we need to make sure the security of, sensitive data is paramount in any military operation. The robot data security protocols are essential, including advanced, encryption, and as access control measures to protect against cyber threats and ensure the integrity of sensitive information. Next one is the ethical consideration. So the deployment of AI military operations have definitely raised ethical considerations such as the potential for autonomous decision making and the need to ensure human oversight and accountability. So this will establish clear ethical frameworks is crucial establishing this clear ethical framework is definitely crucial for responsible AI implementation. So the future of, military digital transformation is more like a pyramid. So I would say the first one is the enhanced human machine collaboration. So we have this latest, technology with respect to AI and cloud integration. That has enhanced the collaboration with the human and the machine. Second is the AI driven strategy. planning. Third one is the autonomous systems. Fourth one is advanced cyber security that takes care of all the, cyber issues. Fifth one is a data driven insights. So the future of military digital transformation lies in the continuing integration of cloud computing, AI, and advanced workflow orchestration, leading to enhanced human machine collaboration, AI driven strategic planning, autonomous systems, advanced cyber security, and data driven insights. These technologies will further empower military leaders to make informed decisions, optimize operations, and maintain a strategic advantage in the face of evolving threats. the path to strategic advantage, I would say first is the enhanced capabilities. Second is improved efficiency. Third one is a reduced cost with respect to the resource allocations. Fourth one is increased readiness in the real time situations. the integration of the cloud and smart flow orchestration is a critical part of achieving strategic advantage. advantage in modern Wi Fi. This digital transformation offers significant benefits that includes operational capabilities, improved efficiency. increase readiness and reduce cost. So by embracing these technologies, military organizations have strengthened their defenses and optimized the resource allocation and ensure their ability to respond decisively to emerging threats. The key takeaways, as we said, the increased efficiency, which is by 43%, the cloud integration has driven a 43 percent increase in operational efficiency across various military domains. Next is the 67 percent faster decision making. So the AI power systems have accelerated decision making cycles by 67 percent enabling quicker and more informed responses to dynamic situations. Next is the 3. 2 times, increase in the enhanced effectiveness. the integrated cloud AI solutions have boosted military effectiveness by at least 3. 2 times that demonstrate the transformative power of these technologies. Next is the 4. 1 times the return The organizations adopting Cloud AI have achieved a 4. 1 trillion investment, thereby highlighting the strong economic benefits of digital transformation. Next steps is obviously, the first one that comes is the training and education. So the investment in ongoing training and education programs for military persons have developed their skills in Cloud AI technologies and workflow orchestration. Next one is the collaboration and information sharing. So this fosters cross functional collaboration, information sharing between. Multiple different, military branches to maximize the benefits of the digital transformation initiatives. That concludes my presentation. Thank you, everyone.