Hello. Good afternoon. Good morning. And, hi, everyone.Thank you for joining me today, for, this very interesting session, which is very dear to my heart, business AI and smart government operations. Of course, I'm very proud, to be a woman in tech. And, you know, normally women in tech, we lead with, not only vision, intuition, but also, with heart and vision. And this is what we bring, you know, across not only, the knowledge that we have, but we also, you know, bring the human touch, which is, very much needed nowadays, to run a government and to run operations and to leverage the AI. So my name is Noor Adrashidi. I am, the chief digital advisor, for the construction, real estate, and higher education industry within SAP.

I'm covering the EMEA region, Middle East, Europe, and Africa, and it's really an honor to be part of this session. And today, you know, I envision the government or the smart government similar to an avocado. I know, all of you are thinking, like, why an avocado? Because to have a smart government, you need to have a solid, seed or a solid foundation, which is similar to to the seed of the avocado where you have the policy, you have the leadership, and you have, the operations there. And on top of the solid, seed, you have, all the intelligence or the data that supports, this, you know, a coherent avocado. And on top of it, which is the layer of of the seed, the thick layer, is the quality is the technology, the process, and the systems that we use, to have, you know, the smart government in one single place. Well, of course, we have an elephant in the room. It's the business AI. The AI is a buzzword nowadays, and everyone is wondering, like, how do we leverage AI?

Where do we bring, the benefit of AI? And, you know, what are the use cases and how the government, could leverage it when it comes to its operations. Of course, it's a tricky question, but, we all know that most of the government agencies and ministries are operating in different, you know, silos. It's a different, entities, government, and different, citizens also having, you know, a vision of how the government should provide the services. So we do have a lot of different pieces, that comes from different ministries, different personas within those ministries, you know, from Ministry of Finance, the Ministry of Health, the Ministry of Education, But all of them, they need to work together in one single, you know, vision, if you like, or into similar to the avocado, to be all in one solid system where they can all implement the same policies which inter change between them.

And that's the challenge how do we bring all of this unleashing the collective power of the different elements and getting a streamlined process across the government by having a unified platform. Of course, the business of government is implementing policies, defining policies, and of course ensuring they are serving the citizens. And the key aspects in development of the policy, of course, it has to address the citizens' needs from problem identification, setting the agenda, formulating the policy, implementing it, and then evaluating and measure, you know, the citizen experience. Like, how is it? Is it really benefiting, you know, the the citizen? Is it addressing the problems that is available? Is it, you know, connected with the different, you know, journeys that is available? So how do we, have the best policy? The best policy is based on data, and, AI, a data driven public sector recognizes the data are an asset integral to policy making, service delivery, organization management, and innovation.

This is as per the organization for economic cooperation and development. And indeed, it's true because without the data, we cannot implement a policy, and we cannot leverage, the AI, because the clarity of the data and, the structure of the data would enable us to leverage the AI. And today, if we look, there is a silos of data from government IT expert to policy makers. There is a lot of complexity along, you know, the value map or the value chain across different ministries, agencies, and a lot of data going from different systems which imposes another layer of complexity when it comes to implementing the policy. And without having a closed loop, collecting all the data in one single policy decision maker or a layer of information, that would be really difficult to act on those different source data that is coming from, the analytics, the insights, detects the social, the budget, the workforce, the procurement of the government.

So having a policy anchored in a clean data platform is really key and important to have a unified and streamlined, you know, government processes. And looking into, you know, the three different layers, which is, for example, the budget, the tax, and operation, how do we have all of them communicating to each other, in an efficient as well as a clear way? So it gives us, the leverage in terms of the knowledge and, the decision that the government is making is informed and based on data rather than based on, you know, just a policy without, taking into consideration how it would impact the quality of life and how it would impact the satisfaction of the, you know, citizen as well as the government efficiency when it comes to cost, when it comes to process, and when it comes to, delivering, cost effective operations across the government.

Balancing the innovation and complexity in a digital government transformation is very complex. It requires a lot of, context. And, in today's world, it's really difficult to implement it without having a unified, you know, platform. Having a hybrid model of data coming from different systems, multi cloud, on prem, hybrid, and collecting the data from different sources, from the tax agency, from, the finance, from the project management, team, the PMO office, as well as the social and workforce is really, you know, very complex.

And the right data foundation would enable, the government to act and operate in a seamless manner where AI, would basically be leveraged based on the data. You know, collecting all the data from all the different sources, from all the different, you know, processes, and then it would make sense to make, you know, a use case that is leveraging and making, the operation of the government more efficient. And how do we unleash this, policy insight is by gathering all those data based from the different areas, looking into the CIO or the chief information officer. The analytics is really important. Having analytics dashboards across the different, operations is critical when it comes to the Ministry of Finance, budget analytics, tax analytics, and procurement, is also very important. The Ministry of labor workforce, what labor workforce available today, what are their capabilities, and how do we match them with the economy needs.

So it's all interconnected, and it's all linked with each other. The Ministry of Education, you know, of course, they need information about, you know, the capabilities, information about, you know, the major. And, from the moment a student goes into the, school until, they graduate, tracking and tracing their progress as well as their major would enable, the government to make a decision in terms of where to leverage this student in the future, based on, his capabilities as well as credential and portfolio.

When it comes to the social, development as well as, the infrastructure, of course, it has to be linked with all the different ministries, and, development is very much, needs to be enhanced with data, information, in terms of, which area, for example, to start developing, which area to allocate schools, how to have easy access for health care across, you know, the country.

So how do we really empower, the the government to have a smart operations across the different ministries where it collects all the data, from the different ministries, from the different, public and private sector in one single platform where it makes it really intuitive and really streamlined across the different, you know, elements.

And this is, you know, the vision of having a connected government through digitized infrastructure and digitized services. It collects data from, mobility, from the different, real time information and insight, for example, the traffic, you know, in certain areas, the congestion, how to divert the traffic, the health care. If one of the health care institution is overloaded, how do we, you know, make sure that the health care services are provided efficiently maybe by allocating, some other health care, you know, private one maybe, you know, to to support and, to leverage, you know, when it comes to education, how do we have collaboration between private and public, schools and delivering programs that meets the labor, you know, work and the labor needs and the economy.

And, of course, deciding on which programs to institute within the government, which helps the future of the economy and which helps understanding the latest and greatest when it comes, you know, to our future of work. Those are some of the dashboards that the government could leverage, and of course, it could cover the different areas, the location of the, you know, operation, when it comes to asset management, environmental, traffic management, as well as, the sustainability and energy across, the different areas of, you know, of the operation within the government.

And meeting those challenges would require a new way of thinking, a new way of working. And it's not only, you know, the applications or the IT. Yes. I'm coming from IT. I'm coming from technology. It's important, but it's not the, you know, the only thing. It's not the only, you know, element that we need to consider. Application is important, and having, the right system in a place is important. But data, data from all the different, you know, sources, the master data, is the key essence here. And how do we have a unified data platform that serves the human, that serves our purpose when it comes, to, implementing AI and AI agents that helps the government to become more efficient and more, you know, I would say effective. So we achieved this by having, you know, end to end processes, which is all digitized, providing, a strong user experience across the different, you know, services that is provided, collaboration between public and private, breaking the silos, and, of course, how do we leverage the AI across the different, entities and services as well as decision making, for the governance body, so that we utilize the technology to enhance the quality of life and to ensure all, the operations are done in a seamless manner.

So seamless integration, central workflow, unified security, and coordinated life cycle from the moment, you know, the government planning, the design designing until operating and, you know, taking the feedback from the citizens with all, you know, the information in one single platform.

Having a smart government operations, the foundation for business AI would require, three different areas, unleashing the policy insight. of all, you know, the policy needs to be very clear, and it needs to be articulated within the system to make a faster, smarter decision based on data, based on information and facts, not based on, you know, just prediction. The formula and the track of the government policy, is really key, and the tracking, the spend across the government also is another area. We need that through creating a data hub where all the financial planning and data foundation in one single source, along with the policy data foundation and the specific related to the public sector and the government operations. And then of course, based on that, we foster the reliable AI. AI has to be reliable, responsible, and, actionable, if you like, automating all, you know, the audits, or deducting all prevention and fraudulent use cases, you know, within the operation needs to be flagged within the system.

And, of course, AI is not only to give you the as is, but also to support you in making decisions in terms of the policy, enhancement and addressing the challenges that today's is is available and reducing, the overhead over the government when it comes, to having human intensive, activities and manual work.

So the AI would help in making all those admin work, managed with the agents, and then the human would be able to, you know, implement more innovative, you know, ways and solutions. Looking into the vision for intelligent government, it requires the solid core, where, you know, all the financial steering from budget, real estate, fleet management, tax, debt ratio, logistic, and human, all within the solid core. But then there are strategic pillars which needs to be covered from environmental sustainable aspects, needs to be captured across the end to end processes, the innovation, how do we infuse innovation in every single area of the business, and then of course how do we capitalize on the economic growth, stability, and innovation?

How do we bring GDP and investment to the government through having, you know, a complete landscape that is not only capable of addressing today's needs, but also tomorrow's and the future business needs and requirements. And, of course, we cannot achieve this without having a developed infrastructure, that covers all the energy, the housing, you know, the sustainability aspects of it along with the product productive maintenance and making sure all, you know, the insights that we gather gives us, an action point where what is need needs to be done, what needs to be improved, and how is how are we doing as a government in terms of different, operations.

Of course, the greatest danger in time of a turbulence is not the turbulence itself, it's to act with yesterday's logic and, you know, leap of faith in terms of changing the way the governments are thinking, working and acting is really important. How do we make sure that we are bringing all those technology and improving the government, you know, operations? And how do we enhance the way, the government operates, which require a leap of faith investing not only in people intelligence, but also in the latest technology to make sure that we are, you know, leveraging the technology to support us in becoming more efficient and improving the quality of life.

By this, I conclude, my session. I hope it was, beneficial and insightful. You know, thank you very much, and I welcome any questions, that you may have. You may contact me, you know, through LinkedIn or through my email, and I'm happy to support you in your digitization journeys if you like. And, wishing you all the best. And thank you very much, you know, for Women in Tech, for inviting me to become one of the featured speakers. Thank you very much.