Quantum computing impact enterprise data achieving how 100% of is going, we are going to achieve. Okay, let me take you to the P. Okay. And then why organizations today manage two 7.3 across interconnect systems without quantum can have strategies, enterprise based competi orders. So I want to explain about how quantum technology is much more important for today's data with of data. Before going further digging that message, I want to think about how exactly I want to tell you about the, how the data is going to be much, much bigger with the AI evolution and how much of the GPUs have we able to level at the same time how the data inside is growing bigger and bigger. Okay. The more interface are drawing the data than many hundreds of petabytes of the data, as I said earlier, across various systems, traditional computing methods struggle. To derive value from that much data efficiently. Quantum Computing offers a new approach that can handle complete complexity and volume at an annually large scale. That being said, right now we are talking about precis per, but every day or every month, every year, the data is going double, triple, so that the legacy systems, we cannot manage that. We cannot pull the dataset data. Issues are data evaluations. It should be done for the quantum computing only. The key is that embracing quantum computing for data management can give a company a major competitive advantage earlier that have seen the remarkable benefits. For example, small business reported double their benefits that double their investment. For example, if they put $1 within two weeks, they're getting $2 more than that. It's all about, I'm talking about a small number, hundred 80 ones. Otherwise it's pretty big one. Why this matters. Company's content. Today's content, as I said earlier, two 6.3 petabytes, enterprise volume business integration systems, and we are expecting 180% of data increase and producing 24 months. Whatever you're seeing right now is going to increase how the quantum enhanced solutions is working right now. See the pillar, right? How everything is changing the quantum efficiency, the breakthrough quantum algorithm, reducing computational complexity and cutting process time between 2%. It's not small number price, it's seven to a percent at the same time, better qualities, increasing leveraging quantum ation principles to reduce error rates by eight 10%. If you do the same thing with the traditional models, you may not see this much. This eight 10% is a much bigger number. Is revolutionary engagement based frameworks driving 99% of data connections across enterprise systems, military grid, quantum position, cryptography, engineering, regular, comprehensive, and data already. Okay, if I go back to that again our, how the quantum mechanism or quantum solutions going to help master data solutions here That will go back one more step. If you see here the same thing, water, because here the error actually is almost 90%. At the same time, computational performance increase up to 60% better preparation time, easily reduce up to 80%. That being set. Our countdown point percent by 17 decreasing 62.4% case. That workflow that previously took. Days now, complete center point faster, allowing your team to focus on static than the processing task. With the quantum computing, you need to spend much more time on the ETLs and everything. The quantum computing is much more faster there. You can leverage more time on the analysis rather than the processing task. Okay. How quantum ation from better ventilation. Okay. Parallel multi analysis, the quantum algorithm simultaneously level data quality dimensions in a single competition. Reducing validation time by 95%. Advanced neur quantum pattern detection systems leverage quantum chase to identify software coalitions and analog invisible to conventional computing frameworks. Increase detection rates by 87.3%. Enterprise quantum ation processing billions of records with nine 10.98% accuracy through and base verification protocol that maintain coherence across. Distributors. Everything is not a small number. Everything is a much bigger number. We are talking with the currently A and GPUs, and the data is now moved from terabyte to petabytes. We are talking, everything is petabytes right now. How the conversation going to handle the data con rate. We can go with the four approaches and in spare models, high accuracy, central repository, and for resolution. Let's talk about in inspect models, revolutionary quantum frameworks reduce cross depart ladder conflict space percent. Admitting traditional information silos. Previously we used everything, the silos. Now the silos concept is gone. Everything is centralized. That way we can do much faster and much accurate. That's what I'm going to talk. Quantum coherence maintenance and 0.8% of accuracy rates across distributed systems. Even with exponentially scaling data volumes. Central pository adverse to quantum basic systems unify enterprise data through coherent shared preservation across distribute networks. Faster resolution quantum monitoring, decrease synchronization, issue resolution time between 0.4% near realtime metalation. So generally, if we talk about normal way, all about models, accuracy, central repository and FA resolution, even when you talk about security, how contract computer pretty much secure computer legacy systems, it's like encryption is there. A random numbers. Generations are then pri to value violation detection. It identifies 18 points and percent of potential violations before they outcome prevention is better than cure. What we follow in general rate with the quantum quantum data management, we can do the violation detection much earlier. This is a pretty much helpful, for example, if I took a quantum how the in is built here, the cost you can save is 1.8 million annual savings for large enterprise through complexity. Continuous monitoring. The monitoring will be always continuous systems, track hundreds of all parameters simultaneously, and high ion checks all the time. Your cost savings for eight to 7%, that means every year if you're saving seven to 40%, how much returns are y you have how you can implement the same thing. That part of the approach. Quantum infrastructure establish hardware and software requirements, classical integration, quantum safe security, and change management. Always we change when something goes wrong, happen all the time. We need to go through that. How the change can be implemented in the system, it will help. Finally, we talk about RI framework with the quantum computing CP enhanced operations, improve processing, future proof architecture with this three RI framework for sure. With the marsh data, our data management will be much easier and faster with the quantum computing. The key TKs, which we discussed in a is competitive advantage. Measurable impact action plan. What is competitive advantage? Quantum enhanced data strategies deliver significant marketplace differentiation organizations without quantum risk, failing behind measurable impact. Early implementers, c 1% of RI within 24 months. Benefits include, reduce address, improved contingency and enhanced complaints. How the action plan works. We can begin quantum data assessment now directly implementation, incorporating infrastructure integration, security and change management. And with this how the quantum management is going to help the data side with the data is increasing much more bigger size with all the GPUs and evolution. For sure. We need to, everyone should make it from the link systems, the quantum computing. It just for data management. That way you can rely on the data violations and data reconciliation, data indicating otherwise always your back always your behind. But make sure quantum computing is a real heartbreaking and game changer. Thank you.