Day 0 Event #188 Top Business and Technology Trends in Government for 2024
Day 0 Event #188 Top Business and Technology Trends in Government for 2024
Session at a Glance
Summary
This discussion, led by Fares Shadad from Gartner, focused on top business and technology trends in governments for 2024 and beyond. Shadad highlighted the challenges governments face, including global turmoil, cyber threats, and increasing citizen demands. A significant internal challenge is the presence of legacy systems, which are costly to upgrade. However, generative AI is emerging as a potential solution, potentially reducing modernization costs by up to 70% by 2027.
The presentation outlined several key trends. These include managing trust in digital services, institutional resilience, experience management focusing on citizen-centric solutions, and executive data advocacy. Workforce productivity is another crucial area, with AI expected to enhance human decision-making in 70% of government agencies by 2026.
From a technological perspective, Shadad discussed adaptive security, digital identity ecosystems, AI for decision intelligence, and digital platform agility. By 2026, over 70% of government agencies are predicted to use AI to enhance administrative decision-making. Cloud adoption is also accelerating, with 75% of governments expected to expand platform services for modernization by 2025.
Data management emerged as a critical theme, with more than 60% of government organizations expected to prioritize investments in business process automation by 2026. The discussion emphasized the importance of being “data ready” to accommodate technological innovations and improve government services.
Overall, the presentation highlighted the rapid technological changes governments are facing and the strategies they are adopting to meet these challenges while improving citizen services and operational efficiency.
Keypoints
Major discussion points:
– Challenges facing governments, including global turmoil, cyber threats, citizen demands, and legacy IT systems
– Business trends in government, such as managing digital trust, institutional resilience, and experience management
– Technology trends in government, including adaptive security, digital identity ecosystems, and AI for decision intelligence
– The increasing importance of data management and cloud adoption for government agencies
– The role of AI, particularly generative AI, in modernizing legacy systems and augmenting workforce productivity
Overall purpose:
The purpose of this discussion was to present and explain the top business and technology trends affecting governments in 2024 and beyond. The speaker aimed to provide insights into the challenges governments face and how emerging technologies and strategies are being used to address these challenges.
Tone:
The overall tone of the discussion was informative and engaging. The speaker maintained a conversational style throughout, occasionally asking rhetorical questions to involve the audience. The tone was consistently enthusiastic about the potential of new technologies to solve government challenges, while also acknowledging the complexities involved. There was no significant change in tone throughout the presentation.
Speakers
– Fares Shadad: Represents Gartner
Additional speakers:
None identified
Full session report
Expanded Summary of Government Technology Trends Discussion
This comprehensive summary details a presentation by Fares Shadad, a Senior Director Analyst at Gartner, on top business and technology trends in governments for 2024 and beyond. The discussion highlighted the challenges governments face, emerging solutions, and key trends shaping the future of government operations and services.
Challenges Facing Governments
Shadad emphasized that governments are grappling with multiple challenges in the current landscape:
1. External pressures: Global turmoil, cyber threats, and increasing citizen demands for improved services and quality of life.
2. Internal challenges: Legacy IT systems, which are costly and difficult to upgrade, pose a significant obstacle to modernization efforts.
3. Balancing act: Governments must navigate the complex task of addressing external pressures while meeting rising citizen expectations for better services.
These challenges underscore the need for governments to adapt quickly and embrace innovative solutions to remain effective and responsive to citizen needs. Shadad posed a rhetorical question: “If you could wish for one service from your government, what would it be?”
Legacy Systems and Modernization
A significant point emphasized in the presentation was the challenge posed by legacy systems:
1. Outdated technology: Many government agencies rely on decades-old systems that are difficult to maintain and upgrade.
2. Modernization costs: Replacing these systems is often prohibitively expensive and time-consuming.
3. Innovation barrier: Legacy systems hinder the adoption of new technologies and impede digital transformation efforts.
By 2027, generative AI is expected to be used to analyze and plan improvements for legacy systems, potentially reducing modernization costs by up to 70%.
Business Trends in Government
Several key business trends were identified as crucial for governments moving forward:
1. Managing trust in digital services: As governments adopt new technologies, building and maintaining citizen trust in digital services is paramount.
2. Institutional resilience: Governments need to develop the ability to adapt quickly to changes and unforeseen circumstances. This includes addressing potential energy constraints resulting from increased computing power needs. By 2026, some governments might experience monthly electricity rationing due to the growing energy demands of advanced technologies.
3. Experience management: There is a growing focus on citizen-centric solutions and increased citizen involvement in service design and delivery. By 2026, 87% of government CIOs are expected to increase investment in producing positive citizen experiences.
4. Executive data advocacy: Increased emphasis on data governance and management at the highest levels of government. This trend also reflects an evolving IT workforce, with an anticipated shift from data analysts to data scientists, and from data scientists to AI engineers.
5. Workforce productivity: AI augmentation is emerging as a key tool for enhancing government workforce efficiency and effectiveness.
These trends reflect a shift towards more agile, citizen-focused, and data-driven approaches to governance and public service delivery.
Technology Trends in Government
Shadad outlined several technology trends that are reshaping government operations:
1. Adaptive security: AI-driven security measures are becoming crucial for protecting government systems against evolving cyber threats. By 2028, multi-agent AI use in threat detection and incident response is predicted to increase from 5% to 70%.
2. Digital identity ecosystems: Governments are developing robust systems to authenticate online transactions securely.
3. AI for decision intelligence: By 2026, 70% of government agencies are expected to use AI to enhance human administrative decision-making and measure resulting productivity increases.
4. Digital platform agility: Cloud adoption is enabling scalability and innovation in government services. By 2025, 75% of governments are predicted to expand adoption of cloud platform services for modernization.
5. Data management and process automation: Over 60% of government organizations are expected to prioritize investments in business process automation by 2026.
These technological advancements are poised to transform how governments operate, make decisions, and deliver services to citizens.
The Role of Artificial Intelligence in Government
AI, particularly generative AI, emerged as a central theme in the discussion, with several key applications highlighted:
1. Legacy system modernization: Generative AI will be used to analyze and plan improvements for legacy systems, potentially reducing modernization costs significantly.
2. Decision-making enhancement: AI will augment human decision-making in administrative processes, improving efficiency and accuracy.
3. Cybersecurity: Multi-agent AI systems will significantly increase threat detection and incident response capabilities in government agencies.
The adoption of AI technologies presents both opportunities for improved efficiency and challenges in terms of implementation and resource management.
Conclusion
The presentation by Fares Shadad provided a comprehensive overview of the challenges and opportunities facing governments in the realm of technology adoption and digital transformation. The key takeaways emphasize the need for governments to prioritize modernization efforts, embrace AI and cloud technologies, and focus on building citizen trust in digital services.
As governments navigate these trends, they will need to balance innovation with practical challenges, such as energy consumption and workforce development. The rapid pace of technological change presents both significant opportunities and challenges, placing governments at a critical juncture in their digital evolution.
Moving forward, governments must remain adaptable, citizen-focused, and technologically progressive to meet the demands of an increasingly complex and digital world. The successful integration of these trends and technologies will be crucial in shaping the future of public service delivery and governance.
A survey mentioned at the end of the presentation further underscored the importance of these trends and their potential impact on government operations and services.
Session Transcript
Farah Shaddad: Again, on behalf of the organizers, I’d like to welcome you for this session today, where we’re talking about the top business and technology trends in governments. Okay, 2024, and probably 2025 as well, it seems like it’s trending on the same path, all right? My name is Farah Shaddad, I represent Gartner in today’s session, and I’ll be happy to walk you through a few statistics. Okay, we have some trends that we see coming, okay, that already some of it took place and probably more to come. But let me ask you this, I mean, usually I’d love to have a session to be more interactive, okay? I’d like to ask you a question, okay? Apparently it will be a rhetorical question because I will not be getting some feedback from you. If the genie just showed up, okay, and granted you wishes, but not three, only one, okay? One wish is granted to wish for your government to give you something. What is the service that you would require from your government that you feel that it is missing, that you will ask your government to have? Okay. I mean, for the audience who’s here, would you like to share something? Innovation? Okay. Technological innovations, maybe, to adapt more to technological innovation in the government and the services that the government provides, right? Okay. Focusing on security, amazing. I mean, this is very good two points to start with, but we need to remember something very important, the challenges that the government’s at, okay? I mean, look no further. I mean, if you look around you, you see the challenges are taking place around us. Let’s take a look at some of the challenges that we see around us, right? Global turmoils, cyber threats, regional conflicts, local pressures, increasing citizen demands, okay? This is some of the factors that are affecting our lives on a daily basis. Do we agree to it? Of course we do. It’s all around us, all right? One, I mean, one pressure and one challenge that governments see nowadays is basically several challenges coming from everywhere, okay? Not only from the external factors that we see here, okay? But sometimes it’s the pressure of the citizens, as we said. Citizens are asking for more products, more services. They care about the quality of life, and the government is sitting in the middle to be able to accommodate what’s happening outside, all the pressure that comes in from the outer world, and at the same time to accommodate the demand of the citizens all around. So therefore, for today’s presentation, we’re discussing the business side of the story and maybe the technical side of the story, where are the trends helping, I mean, trending and the challenges, and what the governments are doing. What are the governments are facing? One thing for a fact, okay? One of the biggest challenges that the government has, which is an internal challenge, is basically what we call in the world of IT is the legacy systems, okay? Is the legacy system a concept that is familiar to you? It’s the old computer systems, because you have a lot of organizations, I mean, a lot of government organizations, ministries, hiyat, other semi-government entities, they have been using IT for the longest time, right? So they have built so many, they invested so many money, time, resources into building their systems, all of a sudden, it became a legacy with a lot of challenges, a lot of demands on the services of the governments, so some of the systems that they have, it became some sort of old, needs to be updated, all right? One of the biggest challenges that the governments have today, how can we upgrade, okay? From our exposure to a lot of government entities all over the world, upgrading those legacy systems is not an easy task, bloody expensive. Luckily for us, we have a new technology nowadays, and we will talk more about it today, that probably will help us. All of us probably used by now, I mean, in abundance, chatGPT, right? Okay, chatGPT is an application of generative AI, so what has generative AI has to do with government legacy systems? Think about it, okay? Because of our exposure, all right, by 2027, generative AI will be used to look at the legacy systems and entities, government entities, to help the government entity identify what is this legacy system, what are the details of it, and how to plan to improve it as well. Isn’t that powerful? It’s an amazing revolution, because the alternative to that is basically to suffer, for the entity to suffer, and to spend a lot of money, and bring a lot of consultants to know the history of 30 or 40 years of the legacy systems, to be able to upgrade it, or maybe change it, or modernize it, okay, is the key word here. So by using generative AI, and helping modernizing the old legacy systems at governments, we’re saving up to 70% of the cost. So we have generative AI on one side, and we have the traditional way of modernizing our legacy systems. Gen AI is something else. Do you think this is a good takeaway, for you to know, and to take home with you? Definitely, it’s something to consider, using generative AI, and looking at your legacy systems for future enhancements, or modernization. Okay, as I said, governments are in, they are in so much demand, and they are sitting in the middle, trying to accommodate all the pressures coming from everywhere, okay? The first pressure is the demand by the citizenships, the citizens, okay? The citizens, they’re acquiring more services, they wanted a better quality of life, and they wanted more and more of the government. So that said, the government, the decision makers, the policy makers, they’re pushing the IT people, and every time I mention CIO here, we’re talking about the IT organization within the government. So they’re pushing CIOs to become more innovative, to be able to serve the citizens in a more proper, or more advanced way. The second pressure, okay, which is, how to accommodate all the pressures coming from everywhere else, which is the economical part of it, and how to ensure the quality of life based on the economical factors, and provide the citizens with, with a good quality of life. The third, okay, is basically to make things happen. All right? I mean, we know, as citizens, we know that our governments are investing in technology, investing in changing, investing in everything. Conferences, visions, what have you, it’s part of our government’s promises. But the pressure is here is to diverge and to come up to see the value on the ground. We, as citizens, we need to see the value manifest and to be taken advantage of, all right? So this is the pressure that is on governments as well to show the value, okay, to the citizens. So, as I said, we’ll tackle the subject of today from two different perspectives. I’ll share with you some numbers and some trends, what’s going on from a business perspective and a technology perspective. Okay, for trend number one, okay, managing trust and digital, all right? So probably by today, we have reached a point where we trust how to make a transaction on our cell phone, maybe to buy a plane ticket or to order our food. This is a transactional that has gained a lot of our confidence. We know that when we transfer our money from one account to another account, it is a secure transaction, 100%. How about other technologies that it’s being adopted nowadays? Let’s mention the computer vision. Let’s mention the racial profiling issues. So there are so many technologies that might affect the trust and citizenship and the citizens and taking advantage of the services or to bring the lack of trust in citizens. So we see that governments are looking on to enhancing this trust and citizen’s eyes to be able to gain more ground on adapting technologies. The second we see is the institutional resilience, okay? Institutional resilience is basically we have to have our governments ready, strong, to be able to accommodate any changes so fast, okay? To be able to accommodate this in a manner that it could recover and adapt so fast to the changes around it, whether it’s coming from citizens, economical regulations, or what have you. So the government entity, it has to be resilient, all right? So by 2026, which is basically just around the corner, okay, in a year time, we’re predicting that G20 members will experience a monthly electricity rationing, okay, basically to worry about electricity consumption. The reason of this trend is basically adopting technologies nowadays as electricity and energy demanding, okay? For a quick example, it’s basically we’re talking about cloud adoption, whether AI solutions, all of that requires a lot of computing power. A lot of computing power will require energy. So energy is one of the issues that we see that it has been trending that government entities are looking at where, how to save, and how to accommodate that, okay? Enough that we see a lot of government entities and energy and, I mean, technology providers are looking into traditional energy sources and non-traditional resources. We’re talking about sustainability of energy, okay, whether it’s renewable energy, or nowadays we started to hear back the nuclear energy as well, okay, to be able to accommodate the energy demand that the computing power needs, okay? Some technology providers are looking at building nuclear plants to be able to feed the energy. The next trend that we see is basically experience management. Experience management is basically looking at the citizens, okay? Whatever that we need to do, it has to be a customer-centric or a citizen-centric solution, or solving a citizen issue directly through the citizens. When we say citizen-centric, it’s basically, I mean, bringing the citizens to be part of the solution, and they are on the table making the decision to be able to resolve or to come up with issues, okay? So by 2026, again, 87% of the government CIOs, will increase investment in producing positive citizen experience as a critical business outcome, all right? So we’re investing more and more into bringing in the citizen to be citizens to be able to come up with solutions that serves the citizens, okay? The next, okay, executive data advocacy, which is basically, we need to focus on more, okay, on data, the power of data is where everything lies. So managing data from top, from the decision makers, okay, to filter down on how to govern and how to manage the data is very important, all right? Nowadays, we see a trend that it is where governments, they are focusing more on organizing their data, they govern the data, they’re making it ready to be able to adopt any new technological or maybe advancements that they need. So by 2027, 50% of data analysts will be trained to become, okay, data scientists. And the current data scientists, they are being trained to become AI engineers, okay? So basically, this shift is basically, is taking place because of the power of the data and how to manage data and to make sure that it is ready to be adopted, all right? So that it’s a very powerful trend here is basically people are moving, so data analytics, it became like a norm, okay? In every organization you talk to today, they have a certain level of maturity when it comes data analytics. So the next step up is basically, is how to utilize this data in a more productive and more intelligent way to be able to manage the challenges that we have mentioned earlier. Okay, workforce productivity, all right? We’re talking about government entities. The challenges that we have, all right, is basically the productivity of the workforce on such entities. Whether finding the right skills, whether upskilling, whether how to measure the productivity and how to move forward to be able to accommodate. what is demanded on the organizations and the governments and making things happen. So by 2026, 70% of the government agency will use AI to enhance human administrative decisions making and will measure the productivity increase achieving that way. So basically, we’re augmenting the workforce with AI solutions and AI agents to be able to help elevating the productivity without replacing our workforce, of course, okay? So this is something, it’s a trend that we see that it’s happening today, okay? Whereby AI will be augmenting the workforce to achieve the productivity that we’re seeking to elevating that level of productivity. Okay, with that said, okay, this is the pretty much what we see as a trend all over when it comes to business challenges, okay, in the government sector all over. Let’s look at the subject from a technological perspective. And we all know that is with technology, okay, a lot of advancement, a lot of innovation has taken place, it’s rapidly changing and the poor governments in the middle, somewhere they have to deal with it as well. So we see a trend of how to accommodate the technological advancements and moving forward. To start with, okay, the concept of adaptive security, okay, with cybersecurity is a very important aspect, okay? Big challenge to a lot of organizations, government and otherwise, all right? So the concept of adaptive security, whereby utilizing AI to enable how to predict, okay, how to manage attacks, incidents related to cyber attacks or cyber incidents, or to use, okay, to adapt with whatever attacks are coming in or incidents or possible even incidents because there is an intelligence part of it here. AI is part of the story and to be adaptive, to be able to move, to learn from whatever happens and to adapt to a better secured networks and systems as well. This is where the concept of adaptive security comes in. So by 2028, multi-agent AI and threat detection, incident response will raise from 5% to a 70%. Imagine, okay, from 5% to a 70%, AI will take place and helping, okay, with the detection and incident response, okay? Then we move to the digital identity ecosystem. Okay, we see governments all over the world, they wanted to make sure they’re taking the lead when it comes to digital identity. What is a digital identity? It’s basically, it’s the concept of, I mean, authenticating and verifying that you are who you claim that you are in your transactions, all right? Okay, you don’t have to go to any place anymore or show any ID to be able to go through a transaction. So the digital identity is a trend all over, it’s taking place just for the governments to adapt, to be able to serve the citizens, to protect its interests and services in a way. So people, I mean, as we all know, I mean, people living in Saudi Arabia, okay, and the digital identity part of the story is extremely mature. And with Apshar and Nafad is something that we see as an example. Every time this subject mentioned somewhere else, okay, they refer to Saudi Arabia’s success and when it comes to digital identity adoption and application. So by 2026, more than 500 million smartphones will handle transactions related to digital identity and transactions. So this is the prediction, more than 500 mobile smartphone will handle, again, digital identity related transactions, okay, using your digital identity. Next is basically AI for decision intelligence, okay. When it comes to AI, adoptions of AI is something, I mean, it’s trending all over the world and definitely we need governments, I mean, they have to take decisions. We need to make more intelligent decisions. That’s why we need data. Data, to make sense of data, is basically we’re bringing AI into the story to be able to help us, okay, with the prediction and to making a better decision, okay. So by 2026, over 70% of the government agencies will use AI to enhance human administrative decision making and will measure the productivity increases achieving that way. So again, bringing in AI to be able to elevate the level of decision making. Next is basically digital platform agility. When we’re talking about platforms, okay, we’re not talking about websites or applications. We’re talking about more powerful platforms that serves, okay, our purposes. I mean, today, as a government entity all over the world, okay, I have challenges whereby to be able to scale fast, to innovate. Everybody’s asking me as a government entity to be agile, to be able to accommodate the citizens’ requests, citizens’ demands, and to cope with the technology, citizens’ demands, and to cope with the security threats and cope with everything else, and to be innovative and to scale up so fast at the same time. So the digital platform agility is one of the trends that we see a lot of governments are thinking seriously and moving to the cloud, okay, and using high power generated infrastructures to be able to accommodate the need for scalability and innovation and agility as well. So 75% of government by 2025, which is next year, immediately next week, in two weeks’ time, okay, well, 75% of the government will expand the adoption of platform services for modernization, okay, with hyperscale cloud providers delivering half of the workload, okay? This is the magical world here, is basically by next year, a lot of government entities, okay, 70% of them, 75% of them, will adopt cloud providers and hyperscalers to be able, okay, to move or innovate I mean, to move their 50% of their workload to the cloud, okay, to be able to accommodate the innovation and the requirements and the agility as well, all right? Does that sound like a ring? If you are living in the kingdom, and if you’re involved in one of the wonderful measures that measures the maturity of the digital transformation, maturity of organizations in the kingdom here, is Qiyas. Qiyas is basically, one part of its mandate for next year is basically the 50% mark that we’re talking about here. The 50% mark of your workload needs to be on the cloud. So this is part of the trend, and we see it happening in front of our eyes in one of sample governments like in Saudi Arabia. Next trend that we see all over, again, the data management story. Data management story is basically whereby we have to organize ourselves to be able to make ourselves data ready to be able to accommodate any innovations, technological innovations. So when we are data ready, that means we know how to store our data, to manage it, know how to govern it, to make it available for any innovations that we have. So by 2026, more than 60% of government organization will prioritize investments in business process automation up from 35%. So currently it’s a 35% adoption. It will move up to 60% by 2026, by adopting what we call the process automation, which is basically making sure that our data is very well managed and help us in our process automation. Short and sweet, this is currently what we see as trends when it comes to business challenges and technological challenges that trends that the governments are seeing nowadays. Thank you so much for bearing with me for the past few minutes. It’s been a pleasure. One thing that is required for me to share with you is basically a survey. This is something that the organizers asked to do, is basically to fill up a survey on the data.
Fares Shadad
Speech speed
125 words per minute
Speech length
3320 words
Speech time
1581 seconds
Legacy systems are a major internal challenge for governments
Explanation
Legacy systems, which are old computer systems used by government organizations, pose a significant challenge. Upgrading these systems is difficult and expensive, but necessary to meet modern demands and services.
Evidence
By 2027, generative AI will be used to analyze legacy systems and help plan improvements, potentially saving up to 70% of modernization costs.
Major Discussion Point
Major Discussion Point 1: Challenges Facing Governments
Agreed with
Agreed on
Legacy systems are a major challenge for governments
Governments face pressures from global turmoil, cyber threats, and increasing citizen demands
Explanation
Governments are dealing with multiple external pressures including global conflicts, cybersecurity issues, and rising expectations from citizens. These factors create a complex environment for governments to navigate.
Evidence
Examples mentioned include global turmoils, cyber threats, regional conflicts, and increasing citizen demands for more products and services.
Major Discussion Point
Major Discussion Point 1: Challenges Facing Governments
Agreed with
Agreed on
Governments face multiple pressures and challenges
Governments need to balance external pressures with citizen demands for better services
Explanation
Governments are in a challenging position of having to manage external global pressures while also meeting the increasing demands of citizens for improved services and quality of life. This requires a delicate balance and innovative solutions.
Evidence
The speaker mentions that governments are ‘sitting in the middle’ trying to accommodate pressures from the outer world and citizen demands simultaneously.
Major Discussion Point
Major Discussion Point 1: Challenges Facing Governments
Agreed with
Agreed on
Governments face multiple pressures and challenges
Managing trust in digital services is crucial for government adoption of new technologies
Explanation
Building and maintaining citizen trust in digital services is essential for governments to successfully implement new technologies. This includes ensuring security and reliability in various digital interactions and transactions.
Evidence
Examples of technologies mentioned include computer vision and racial profiling issues, which may affect citizen trust if not managed properly.
Major Discussion Point
Major Discussion Point 2: Business Trends in Government
Institutional resilience is needed for governments to adapt quickly to changes
Explanation
Governments need to develop institutional resilience to rapidly adapt to various changes and challenges. This includes being able to recover and adjust to shifts in citizen needs, economic conditions, and regulations.
Evidence
By 2026, G20 members are predicted to experience monthly electricity rationing due to increased energy demands from technology adoption, requiring resilience and adaptation.
Major Discussion Point
Major Discussion Point 2: Business Trends in Government
Experience management focuses on citizen-centric solutions and involvement
Explanation
Governments are increasingly focusing on creating citizen-centric solutions and involving citizens in decision-making processes. This approach aims to directly address citizen issues and improve overall citizen experience.
Evidence
By 2026, 87% of government CIOs will increase investment in producing positive citizen experiences as a critical business outcome.
Major Discussion Point
Major Discussion Point 2: Business Trends in Government
Executive data advocacy is increasing focus on data governance and management
Explanation
There is a growing trend of executive-level focus on data governance and management in government organizations. This involves organizing, governing, and preparing data for adoption of new technologies and advancements.
Evidence
By 2027, 50% of data analysts will be trained to become data scientists, and current data scientists are being trained to become AI engineers.
Major Discussion Point
Major Discussion Point 2: Business Trends in Government
Workforce productivity is being enhanced through AI augmentation
Explanation
Governments are using AI to augment their workforce and increase productivity. This involves implementing AI solutions to assist human workers rather than replace them, helping to address skills gaps and improve efficiency.
Evidence
By 2026, 70% of government agencies will use AI to enhance human administrative decision-making and measure the resulting productivity increase.
Major Discussion Point
Major Discussion Point 2: Business Trends in Government
Agreed with
Agreed on
AI is becoming crucial for government operations and decision-making
Adaptive security using AI is becoming crucial for cybersecurity
Explanation
The concept of adaptive security, which utilizes AI to predict, manage, and respond to cyber attacks and incidents, is becoming increasingly important for government cybersecurity. This approach allows for continuous learning and adaptation to new threats.
Evidence
By 2028, multi-agent AI in threat detection and incident response is predicted to increase from 5% to 70%.
Major Discussion Point
Major Discussion Point 3: Technology Trends in Government
Digital identity ecosystems are being developed to authenticate online transactions
Explanation
Governments worldwide are taking the lead in developing digital identity ecosystems. These systems aim to authenticate and verify individual identities for online transactions without the need for physical identification.
Evidence
By 2026, more than 500 million smartphones will handle transactions related to digital identity. Saudi Arabia is mentioned as a successful example of digital identity adoption.
Major Discussion Point
Major Discussion Point 3: Technology Trends in Government
AI for decision intelligence is enhancing administrative decision-making
Explanation
Governments are increasingly adopting AI to enhance decision-making processes in administrative tasks. This trend aims to improve the quality and efficiency of decisions made by government agencies.
Evidence
By 2026, over 70% of government agencies will use AI to enhance human administrative decision-making and measure the resulting productivity increases.
Major Discussion Point
Major Discussion Point 3: Technology Trends in Government
Agreed with
Agreed on
AI is becoming crucial for government operations and decision-making
Digital platform agility through cloud adoption is enabling scalability and innovation
Explanation
Governments are adopting cloud-based digital platforms to increase agility, scalability, and innovation capabilities. This trend allows government entities to respond more quickly to citizen demands and technological changes.
Evidence
By 2025, 75% of governments will expand the adoption of platform services for modernization, with hyperscale cloud providers delivering half of the workload.
Major Discussion Point
Major Discussion Point 3: Technology Trends in Government
Data management and process automation are priorities for government organizations
Explanation
Government organizations are prioritizing investments in data management and business process automation. This focus aims to make data more accessible and usable for innovations and to streamline operations.
Evidence
By 2026, more than 60% of government organizations will prioritize investments in business process automation, up from 35% currently.
Major Discussion Point
Major Discussion Point 3: Technology Trends in Government
Generative AI will be used to modernize legacy systems, saving up to 70% of costs
Explanation
Generative AI is expected to play a significant role in modernizing government legacy systems. This technology can help identify and analyze old systems, assisting in planning improvements and upgrades more efficiently.
Evidence
By 2027, generative AI will be used to analyze legacy systems in government entities, potentially saving up to 70% of modernization costs compared to traditional methods.
Major Discussion Point
Major Discussion Point 4: Role of Artificial Intelligence in Government
Agreed with
Agreed on
AI is becoming crucial for government operations and decision-making
AI will be used to enhance human decision-making in government agencies
Explanation
Government agencies are increasingly adopting AI to support and improve human decision-making processes. This trend aims to increase productivity and efficiency in administrative tasks without replacing human workers.
Evidence
By 2026, 70% of government agencies will use AI to enhance human administrative decision-making and will measure the resulting productivity increases.
Major Discussion Point
Major Discussion Point 4: Role of Artificial Intelligence in Government
Multi-agent AI will significantly increase threat detection and incident response capabilities
Explanation
The use of multi-agent AI systems in cybersecurity is expected to greatly improve threat detection and incident response capabilities for governments. This technology will enable more adaptive and intelligent security measures.
Evidence
By 2028, the use of multi-agent AI in threat detection and incident response is predicted to increase from 5% to 70%.
Major Discussion Point
Major Discussion Point 4: Role of Artificial Intelligence in Government
Agreements
Agreement Points
Legacy systems are a major challenge for governments
Fares Shadad
Legacy systems are a major internal challenge for governments
The speaker emphasizes that legacy systems pose a significant challenge for government organizations, requiring expensive and difficult upgrades to meet modern demands.
Governments face multiple pressures and challenges
Fares Shadad
Governments face pressures from global turmoil, cyber threats, and increasing citizen demands
Governments need to balance external pressures with citizen demands for better services
The speaker highlights that governments are dealing with various external pressures while also trying to meet increasing citizen demands for improved services and quality of life.
AI is becoming crucial for government operations and decision-making
Fares Shadad
Workforce productivity is being enhanced through AI augmentation
AI for decision intelligence is enhancing administrative decision-making
Generative AI will be used to modernize legacy systems, saving up to 70% of costs
The speaker presents multiple arguments supporting the increasing importance of AI in government operations, from enhancing workforce productivity to improving decision-making and modernizing legacy systems.
Similar Viewpoints
The speaker emphasizes the importance of building trust in digital services and developing robust digital identity systems for successful government technology adoption.
Fares Shadad
Managing trust in digital services is crucial for government adoption of new technologies
Digital identity ecosystems are being developed to authenticate online transactions
The speaker highlights the need for governments to be adaptable and resilient, with cloud adoption and digital platforms playing a key role in achieving this agility.
Fares Shadad
Institutional resilience is needed for governments to adapt quickly to changes
Digital platform agility through cloud adoption is enabling scalability and innovation
Unexpected Consensus
Overall Assessment
Summary
The presentation by Fares Shadad focuses on key business and technology trends in governments, emphasizing the challenges of legacy systems, the need for balancing various pressures, the importance of AI adoption, and the crucial role of digital trust and identity systems.
Consensus level
As this is a monologue by a single speaker, there is no consensus to assess among multiple speakers. However, the speaker presents a coherent and consistent view of the challenges and trends facing governments in terms of technology adoption and digital transformation. The implications suggest that governments need to prioritize modernization efforts, embrace AI and cloud technologies, and focus on building citizen trust in digital services to meet future challenges effectively.
Differences
Different Viewpoints
Unexpected Differences
Overall Assessment
summary
No disagreements identified as there is only one speaker presenting information.
difference_level
None. The transcript contains a single perspective without opposing viewpoints.
Partial Agreements
Partial Agreements
Similar Viewpoints
The speaker emphasizes the importance of building trust in digital services and developing robust digital identity systems for successful government technology adoption.
Fares Shadad
Managing trust in digital services is crucial for government adoption of new technologies
Digital identity ecosystems are being developed to authenticate online transactions
The speaker highlights the need for governments to be adaptable and resilient, with cloud adoption and digital platforms playing a key role in achieving this agility.
Fares Shadad
Institutional resilience is needed for governments to adapt quickly to changes
Digital platform agility through cloud adoption is enabling scalability and innovation
Takeaways
Key Takeaways
Governments face significant challenges including legacy systems, external pressures, and increasing citizen demands
Key business trends for governments include managing digital trust, institutional resilience, citizen-centric experience management, data advocacy, and AI-enhanced workforce productivity
Major technology trends in government include adaptive security, digital identity ecosystems, AI for decision intelligence, cloud-based digital platform agility, and data management/process automation
Artificial Intelligence, especially generative AI, will play a crucial role in modernizing legacy systems, enhancing decision-making, and improving cybersecurity in government
Resolutions and Action Items
By 2027, generative AI will be used to modernize legacy systems in government entities, potentially saving up to 70% of costs
By 2026, 87% of government CIOs will increase investment in producing positive citizen experiences
By 2026, 70% of government agencies will use AI to enhance human administrative decision-making
By 2025, 75% of governments will expand adoption of cloud platform services for modernization
Unresolved Issues
Specific strategies for balancing external pressures with increasing citizen demands
Detailed plans for addressing potential energy constraints due to increased computing power needs
Concrete steps for transitioning data analysts to data scientists and data scientists to AI engineers
Suggested Compromises
None identified
Thought Provoking Comments
By 2027, generative AI will be used to look at the legacy systems and entities, government entities, to help the government entity identify what is this legacy system, what are the details of it, and how to plan to improve it as well.
speaker
Fares Shadad
reason
This comment introduces a novel application of generative AI in government systems, highlighting its potential to revolutionize the modernization of legacy systems.
impact
It shifted the discussion towards the practical applications of AI in government, particularly in addressing the long-standing challenge of legacy systems. This opened up a new perspective on how emerging technologies can solve traditional problems in government IT infrastructure.
By 2026, which is basically just around the corner, okay, in a year time, we’re predicting that G20 members will experience a monthly electricity rationing, okay, basically to worry about electricity consumption.
speaker
Fares Shadad
reason
This prediction highlights an unexpected consequence of technological advancement – increased energy consumption – and its potential impact on government policies and infrastructure.
impact
It broadened the scope of the discussion to include environmental and resource management concerns in the context of technological advancement, linking IT trends to broader societal challenges.
By 2026, 87% of the government CIOs, will increase investment in producing positive citizen experience as a critical business outcome
speaker
Fares Shadad
reason
This comment emphasizes the growing importance of citizen-centric approaches in government services, reflecting a shift in priorities for government IT leaders.
impact
It steered the conversation towards the importance of user experience in government services, highlighting a trend towards more citizen-focused governance and technology implementation.
By 2026, 70% of the government agency will use AI to enhance human administrative decisions making and will measure the productivity increase achieving that way.
speaker
Fares Shadad
reason
This prediction illustrates the expected widespread adoption of AI in government decision-making processes, emphasizing the augmentation rather than replacement of human workers.
impact
It deepened the discussion on AI’s role in government, moving from general applications to specific use cases in administrative decision-making and productivity enhancement.
By 2028, multi-agent AI and threat detection, incident response will raise from 5% to a 70%.
speaker
Fares Shadad
reason
This dramatic increase in AI adoption for cybersecurity highlights the rapid pace of technological change and the growing importance of AI in protecting government systems.
impact
It shifted the focus to the critical area of cybersecurity, emphasizing how AI is expected to play a transformative role in this domain within a relatively short timeframe.
Overall Assessment
These key comments shaped the discussion by highlighting several critical trends in government technology adoption, including the use of AI for legacy system modernization, citizen-centric service design, administrative decision-making, and cybersecurity. The comments consistently emphasized the rapid pace of technological change and its wide-ranging impacts on government operations, citizen experiences, and resource management. They also underscored the need for governments to be proactive and adaptive in their approach to technology, balancing innovation with practical challenges like energy consumption and workforce productivity. Overall, these insights painted a picture of governments at a technological crossroads, facing both significant opportunities and challenges in the near future.
Follow-up Questions
Disclaimer: This is not an official record of the session. The DiploAI system automatically generates these resources from the audiovisual recording. Resources are presented in their original format, as provided by the AI (e.g. including any spelling mistakes). The accuracy of these resources cannot be guaranteed.
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