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Tektronix Technology: Pioneering the Future with AI Solutions
In an era where technology is advancing at an unprecedented pace, artificial intelligence (AI) has emerged as a transformative force, reshaping industries and revolutionizing the way we live and work. AI solutions are no longer confined to science fiction; they have become an integral part of our daily lives, offering innovative solutions to complex problems. In this blog, we'll delve into the world of artificial intelligence solutions, exploring their diverse applications and the impact they are having across various sectors.
The Power of AI Solutions
Artificial intelligence is more than just a buzzword; it's a game-changer. With its ability to process vast amounts of data, learn from patterns, and make informed decisions, AI solutions are driving advancements across domains.
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Unlocking Potential Through Immersive VR-Based Training Solutions
Atcuality is dedicated to unlocking human potential through VR-based training solutions that push the boundaries of traditional learning methods. In industries where hands-on experience is crucial, VR allows trainees to engage in realistic scenarios without leaving the training room. Our VR-based training solutions are designed to provide the kind of experiential learning that helps individuals not just understand but deeply internalize crucial skills. From medical procedures to machinery operation, these immersive training environments offer flexibility and safety, removing the limitations of traditional learning setups. By simulating high-risk or complex tasks, learners can gain valuable experience while mitigating actual risks. With Atcuality’s VR training, companies can ensure their workforce is prepared for real-world challenges, resulting in enhanced safety, improved skill levels, and reduced onboarding and training costs. Our commitment to advancing training standards is evident in our ability to offer highly customizable, impactful VR experiences across various industries.
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NAC Tech Solution is a leading AI Software Development Company in the USA, providing custom-built AI development solutions to meet the changing needs of businesses in the digital age. As a software development company, we specialize in artificial intelligence, machine learning/deep learning, predictive analytics, natural language processing, and more. With our global presence, experienced team of engineers, and market-ready technologies, we are focused on pushing the limits of AI to unlock the potential of businesses.
Request a Demo,
Whatsapp: +966 54 271 0510 | Email: [email protected] | Telegram: https://telegram.me/nactechsolution
#software#web design#ai software development#saudi arabia#ai software development company#artificial intelligence
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Top Features that You Must Integrate into Your iPhone App
Elevate your iPhone app with essential features for optimal user engagement. Incorporate sleek UI/UX design for intuitive navigation. Integrate real-time notifications to keep users informed. Implement secure payment gateways for seamless transactions. Enable offline access for uninterrupted functionality. Prioritize responsiveness across devices and ensure robust performance, guaranteeing a standout and user-centric app experience.
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#mobile app development company Riyadh#on-demand app development company#AI app development company#react native app development company#mobile app development company Saudi Arabia#ios app development company
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The almost overnight surge in electricity demand from data centers is now outstripping the available power supply in many parts of the world, according to interviews with data center operators, energy providers and tech executives. That dynamic is leading to years-long waits for businesses to access the grid as well as growing concerns of outages and price increases for those living in the densest data center markets. The dramatic increase in power demands from Silicon Valley’s growth-at-all-costs approach to AI also threatens to upend the energy transition plans of entire nations and the clean energy goals of trillion-dollar tech companies. In some countries, including Saudi Arabia, Ireland and Malaysia, the energy required to run all the data centers they plan to build at full capacity exceeds the available supply of renewable energy, according to a Bloomberg analysis of the latest available data. By one official estimate, Sweden could see power demand from data centers roughly double over the course of this decade — and then double again by 2040. In the UK, AI is expected to suck up 500% more energy over the next decade. And in the US, data centers are projected to use 8% of total power by 2030, up from 3% in 2022, according to Goldman Sachs, which described it as “the kind of electricity growth that hasn’t been seen in a generation.”
21 June 2024
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In 2024, 750 Chinese companies are working in Saudi Arabia. I will write about some aspects of the business collaboration between China and KSA
China and Saudi Arabia have deepened their collaboration across multiple sectors, driven by Saudi’s Vision 2030 and China’s Belt and Road Initiative (BRI).
Key Areas of Collaboration:
- Energy: China is a major importer of Saudi oil, and joint ventures like YASREF strengthen their energy ties.
- Infrastructure: Chinese companies, such as CSCEC, are involved in major projects like Neom and railway development.
- Technology: Huawei plays a key role in deploying 5G and advancing AI in Saudi Arabia.
- Manufacturing: Collaboration in industrial zones supports Saudi’s diversification efforts.
- Renewable Energy: Chinese firms are engaged in solar and wind projects.
- Cultural & Tourism: Growing cultural exchanges, tourism, and language programs strengthen ties.
- Defense: Cooperation in arms and military technology is growing, though less publicized.
- Finance: Chinese banks operate in Saudi Arabia, with mutual investments bolstering financial ties.
This partnership supports both nations' economic goals and strengthens their strategic positions.
#KhalidAlbeshri #خالدالبشري
#advertising#artificial intelligence#autos#business#developers & startups#edtech#education#finance#futurism#marketing
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Elon Musk just dragged ChatGPT and other artificial intelligence programs into the Trump crosshairs by repeating his warning that current AI models are too “woke” and “politically correct.”
“A lot of the AIs that are being trained in the San Francisco Bay Area, they take on the philosophy of people around them,” Musk said at the Future Investment Initiative, a Saudi Arabia government–backed event held in Riyadh this week. “So you have a woke, nihilistic—in my opinion—philosophy that is being built into these AIs.”
Although Musk is himself a polarizing figure, he is right about AI systems harboring political biases. The issue, however, is far from one-sided, and Musk’s framing may help further his own interests due to his ties to Trump. Musk runs xAI, a competitor to OpenAI, Google, and Meta that could benefit if those companies become government targets.
“Musk clearly has a close, close relationship with the Trump campaign, and any comment that he’s making will hold a big influence,” says Matt Mittelsteadt, a research fellow at George Mason University. “At a maximum he could have some sort of seat in a potential Trump administration, and his views could actually be enacted into some sort of policy.”
Musk has previously accused both OpenAI and Google of being infected with “the woke mind virus.” When Google’s Gemini chatbot produced historically inaccurate images, including black Nazis and Vikings, in February, Musk saw it as proof of Google using AI to spread an absurdly woke outlook.
Musk is clearly no fan of government regulation, but he backed a proposed AI bill in California that would have required companies to make their AI models available for vetting.
The first Trump administration also targeted perceived bias at Big Tech companies with an executive order that sought to hold platforms such as Twitter, Google, and Facebook accountable for censoring information for political reasons. The pressure had a tangible impact, with Meta ultimately abandoning plans for a dedicated news section on Facebook.
Mittelsteadt notes that Trump’s VP pick, JD Vance, has also talked of reining in Big Tech companies and gone as far as to call Google “one of the most dangerous companies in the world.”
Mittelsteadt adds that Trump could punish companies in a variety of ways. He cites, for example, the way the Trump government canceled a major federal contract with Amazon Web Services, a decision likely influenced by the former president’s view of the Washington Post and its owner, Jeff Bezos.
It would not be hard for policymakers to point to evidence of political bias in AI models, even if it cuts both ways.
A 2023 study by researchers at the University of Washington, Carnegie Mellon University, and Xi’an Jiaotong University found a range of political leanings in different large language models. It also showed how this bias may affect the performance of hate speech or misinformation detection systems.
Another study, conducted by researchers at the Hong Kong University of Science and Technology, found bias in several open source AI models on polarizing issues such as immigration, reproductive rights, and climate change. Yejin Bang, a PhD candidate involved with the work, says that most models tend to lean liberal and US-centric, but that the same models can express a variety of liberal or conservative biases depending on the topic.
AI models capture political biases because they are trained on swaths of internet data that inevitably includes all sorts of perspectives. Most users may not be aware of any bias in the tools they use because models incorporate guardrails that restrict them from generating certain harmful or biased content. These biases can leak out subtly though, and the additional training that models receive to restrict their output can introduce further partisanship. “Developers could ensure that models are exposed to multiple perspectives on divisive topics, allowing them to respond with a balanced viewpoint,” Bang says.
The issue may become worse as AI systems become more pervasive, says Ashique KhudaBukhsh, an computer scientist at the Rochester Institute of Technology who developed a tool called the Toxicity Rabbit Hole Framework, which teases out the different societal biases of large language models. “We fear that a vicious cycle is about to start as new generations of LLMs will increasingly be trained on data contaminated by AI-generated content,” he says.
“I’m convinced that that bias within LLMs is already an issue and will most likely be an even bigger one in the future,” says Luca Rettenberger, a postdoctoral researcher at the Karlsruhe Institute of Technology who conducted an analysis of LLMs for biases related to German politics.
Rettenberger suggests that political groups may also seek to influence LLMs in order to promote their own views above those of others. “If someone is very ambitious and has malicious intentions it could be possible to manipulate LLMs into certain directions,” he says. “I see the manipulation of training data as a real danger.”
There have already been some efforts to shift the balance of bias in AI models. Last March, one programmer developed a more right-leaning chatbot in an effort to highlight the subtle biases he saw in tools like ChatGPT. Musk has himself promised to make Grok, the AI chatbot built by xAI, “maximally truth-seeking” and less biased than other AI tools, although in practice it also hedges when it comes to tricky political questions. (A staunch Trump supporter and immigration hawk, Musk’s own view of “less biased” may also translate into more right-leaning results.)
Next week’s election in the United States is hardly likely to heal the discord between Democrats and Republicans, but if Trump wins, talk of anti-woke AI could get a lot louder.
Musk offered an apocalyptic take on the issue at this week’s event, referring to an incident when Google’s Gemini said that nuclear war would be preferable to misgendering Caitlyn Jenner. “If you have an AI that’s programmed for things like that, it could conclude that the best way to ensure nobody is misgendered is to annihilate all humans, thus making the probability of a future misgendering zero,” he said.
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As a marketing manager in a leading local tech company in Saudi Arabia. I really believe that the latest update of OpenAI GPT, GPT-4o is really impressive. This is a major achievement in the world of AI and this is the one open for public, just imagine what’s in the back doors, what’s exclusive for military and high level corporations.
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Airbus will create Eurofighter EK version for electronic combat
Saab will provide self-protection systems.
Fernando Valduga By Fernando Valduga 11/29/2023 - 5:15 pm in Military
Now it's official: the Eurofighter EK (Electronic Combat) is coming. After the recent parliamentary approval of the German budget committee, Airbus will equip 15 German Eurofighters for electronic warfare – and equip them with a Saab transmitter location and self-protection system, as well as anti-radar missiles "AARGM" from the American company Northrop Grumman.
The Eurofighter EK should be certified by NATO by 2030 and will then replace the Tornado in the SEAD (Suppression of Enemy Air Defense) function.
"Electronic warfare and reconnaissance are important requirements of NATO: the current conflicts and the current security situation show how important the two capabilities are," says Airbus Defence and Space CEO Michael Schöllhorn. “In this regard, the German government's decision to include such an important capacity as electronic warfare in the Eurofighter capability portfolio is an important measure. The "EK" will add this important capability to the already broad operational spectrum of the Eurofighter, while strengthening European sovereignty and autonomy."
With the parliamentary approval of the Budget Committee, the Eurofighter is now officially defined as the successor to the Tornado ECR (Electro-Combat/Recognition). Airbus is now waiting for the official order to integrate the selected technical solutions into the Eurofighter. The corresponding contract between Eurofighter GmbH, as the main contractor, and NETMA (NATO Eurofighter and Tornado Management Agency) should be signed before the end of the year.
With Saab's transmitter tracking system and Northrop Grumman's Anti-Radiation Guided Missile (AARGM), the Eurofighter EK will be able to detect, locate and disable anti-aircraft radars. In addition, the Saab solution has blockers that improve the self-protection of the Eurofighter. The Eurofighter EK also has on-board technologies that have been developed by small and medium-sized companies and a start-up. This includes an AI solution that allows you to analyze on-board radar data and quickly determine accurate self-protection measures.
Airbus is currently working with the BAAINBw purchasing office, the German Air Force and the Bundeswehr Aviation Office on a detailed schedule for the implementation of the selected EK solutions in 15 Eurofighters.
Tags: Military AviationEurofighter TyphoonEW - ELECTRONIC WARLuftwaffe - German Air Forcesaab
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Fernando Valduga
Fernando Valduga
Aviation photographer and pilot since 1992, has participated in several events and air operations, such as Cruzex, AirVenture, Dayton Airshow and FIDAE. He has work published in specialized aviation magazines in Brazil and abroad. Uses Canon equipment during his photographic work in the world of aviation.
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Generative AI Solutions are Key to Smart Construction and the Future of Automotive & EV Innovation
Today, every industry is seeking new ways in which operations can be made safer, more efficient, and more productive. From Hong Kong to Qatar and from Dubai to Singapore, the changing requirements placed on construction companies, car makers, and electric vehicle manufacturers are being met with technology. Of these technologies, probably the most transformative is Generative AI-a, a solution that is redefining how industries approach challenges, streamline operations, and future-proof their businesses.
In this blog, we will explore the extent to which Generative AI Construction Solutions are driving smart construction and fostering innovation in the automotive and EV industries.
Generative AI Solutions for Smart Construction
Project Planning Improvement
Generative AI allows construction companies to build multiple scenarios, test the most effective ways of finishing work, and optimise workflows. AI can also suggest materials and designs that are cheaper yet maintain the same standard of safety and quality through sheer analysis of huge data volumes. That is why this is much needed in markets such as Dubai, where the construction sector booms and projects require the finest precision and efficiency.
Mitigate Hazards and Accidents
Construction has always been about safety. The generative AI solution can mitigate potential hazards on a job site by considering real-time video feeds in terms of unsafe behaviours and risky areas, alerting supervisors or workers before accidents happen. Perhaps this can prevent some of the injuries and fatalities in one construction site in Abu Dhabi, where multi-billion-dollar infrastructure projects are undertaken daily.
Resource Allocation and Productivity
AI-based technologies can optimise construction companies' resource allocation for labour, machinery, and materials. For example, an AI-based platform will predict when machinery will require maintenance so that the actual downtime is reduced. In such a way, by minimising unforeseen interruptions, projects can be finished on time, and the bottom line for businesses will be improved.
AI in Automotive & EV Manufacturing
Revolutionising an Industry
While growing demand for electric vehicles calls for preserving evolving customer expectations in production, manufacturers must meet high production standards. Here is how this sector benefits from AI.
Increasing Efficiency of Production
Efficiency is everything in the highly competitive auto and EV industries. Generative AI allows manufacturers to optimise their production lines by detecting inefficiencies in real time. Tracking every stage of production assembly through quality control-AI systems can suggest improvements that minimise waste, cut costs, and make manufacturing even quicker.
Product Quality and Safety
Product quality and safety are uncompromisable in the automotive and EV industries. AI plays an important role in matters, ensuring that any vehicle that ventures the streets meets strict levels of safety. Most manufacturers will rapidly detect defects and possible safety threats in their products and then correct these before delivery to consumers through AI-powered automated inspection systems.
Labor Gap Obstacles
The major issue in the auto and EV industries, particularly in countries like Saudi Arabia and Qatar, has been the labour crunch. AI contributes to the solution of this issue by automating repetitive work, decreasing dependency on manual labour, and enabling the workforce to focus on value-added tasks. This benefits the firms by having a more efficient workforce and keeping high production without labour shortages overburdening it.
Benefits of AI
Here are a few competitive advantages companies should expect when they integrate AI solutions into their business.
1. Safety Bump
In economically risky sectors, such as construction and manufacturing, the safety record is always a consideration. Considering this factor, AI can spot possible hazards even before they occur in accidents, thereby keeping a safer workplace for businesses.
2. Operational Efficiency
AI for the automotive and EV industry can help a company operate at their best as it pinpoints bottlenecks, prevents waste, and smoothes out processes. For instance, projects in construction and automotive are completed faster with fewer resources and less capital.
3. Improved Profitability
Better productivity, reduced instances of downtime, and fewer accidents would mean higher profitability from Generative AI solutions. Companies can keep ahead of their competitors while raising production capacities and meeting the production demands of customers by improving their financial performance.
4. Smarter Decision Making
Whether it is to decide on the most suitable materials for a construction project or optimising a manufacturing process, AI gives managers the power to make data-driven and insight-based decisions.
Conclusion
As we move forward, Generative AI will only go deeper into the construction industry and automotive manufacturing. Companies that understand this technology today will have a better chance of facing tomorrow. From Dubai to Qatar, businesses in construction, automotive, and EV have already seen the impacts of using ai for automotive and ev industry.
Whether it is an improvement in safety standards, increased productivity, or competitive advantage, the transformative power of Generative AI could be a game-changer to alter and change industries all over the world. Now's its time to viAct and uplift your businesses to grow and innovate to produce smarter, safer, and more efficient operations.
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AI Video Analytics: The Key to Smarter Project Control Centers
Safety Management Systems (SMS): A Beginner's Guide
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Healthy Buildings Market will reach $71.5 billion by 2031
Meticulous Research® has released a comprehensive report titled “Healthy Buildings Market—Global Opportunity Analysis and Industry Forecast (2024-2031),” projecting that the healthy buildings market will reach $71.5 billion by 2031, growing at a compound annual growth rate (CAGR) of 4.9% from 2024 to 2031. This growth is driven primarily by increasing awareness regarding air quality, wellness, and mental health in indoor environments, alongside rapid urbanization in developing regions.
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Despite these positive growth indicators, the market faces challenges, particularly the high costs associated with implementing healthy building solutions. Nonetheless, there are significant opportunities, particularly in healthcare, where patient-centered designs are gaining traction. Construction firms are increasingly pursuing green building certifications, further promoting sustainability and enhancing indoor health.
The healthy buildings market also encounters hurdles, especially in terms of integrating new systems with existing infrastructure. However, the incorporation of Internet of Things (IoT) and Artificial Intelligence (AI) technologies into building management is paving the way for innovative solutions. The trend towards developing green cities and the shift to smart buildings are also shaping the market's future.
The competitive landscape of the healthy buildings market is moderately crowded, featuring a mix of large, medium, and small enterprises from global, regional, and local spheres. Key players include prominent companies such as Honeywell International Inc. (U.S.), DAIKIN Airconditioning (Singapore), Johnson Controls International plc (Ireland), Schneider Electric SE (France), Siemens Corporation (Germany), Bosch Sicherheitssysteme GmbH (Germany), Delta Electronics, Inc. (Taiwan), Automated Logic Corporation (U.S.), and others.
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The market is analyzed based on various offerings and end-user segments. Within the offerings, the solutions and tools segment is projected to dominate the market in 2024, driven by the growing emphasis on improving energy efficiency, reducing operational costs, and minimizing environmental impact. The rising adoption of air quality monitoring solutions also supports this segment’s leadership.
In terms of end-users, the commercial segment is expected to capture a substantial share of 43% in 2024. This dominance is attributed to the increasing implementation of advanced ventilation systems designed to mitigate airborne pollutants and allergens, thus fostering healthier work environments. Additionally, the use of healthy building solutions in educational institutions is on the rise, as these tools enhance student engagement, retention, and overall academic performance.
The research report offers a geographical analysis, covering major regions including North America (U.S. and Canada), Europe (Germany, U.K., France, Italy, Spain, Netherlands, Sweden, and others), Asia-Pacific (Japan, China, India, South Korea, Singapore, Australia & New Zealand, Indonesia, and others), Latin America (Brazil, Mexico, and others), and the Middle East & Africa (UAE, Saudi Arabia, Israel, and others).
North America is expected to hold the largest share of the market at 38% in 2024. This is fueled by the adoption of advanced technologies like UV air purification systems aimed at improving indoor air quality, alongside strong government regulations and incentives that encourage the implementation of healthy building practices. Overall, the healthy buildings market is positioned for significant growth, driven by evolving consumer preferences and technological advancements aimed at enhancing indoor environmental quality.
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Saudi Data Center Networking Market Poised to Hit USD 958.8 Million by 2030
In 2024, Saudi Arabia's data center networking market is expected to be valued at approximately USD 401.1 million, with projections indicating it could reach USD 958.8 million by 2030, growing at a CAGR of 15.6%. This growth is driven by the country’s rapid digitalization, increased adoption of cloud services, and strict data security regulations.
Saudi Arabia’s Vision 2030 initiative is a major force behind its digital transformation efforts, as the Kingdom aims to diversify and grow its economy. This national strategy is prompting organizations to adopt advanced technologies, including AI, data analytics, and machine learning across various sectors.
With the expansion of digitalization, demand for sophisticated data center networking infrastructure has surged, as it is essential to deliver low-latency, high-speed data transfer, and seamless integration for digital applications and services.
One prominent trend in the Saudi data center networking sector is the rise of edge computing, which reduces network latency, enhances security, improves scalability, and offers advanced data privacy. This shift is influenced by the growing number of IoT devices, the rollout of 5G, and increasing security concerns. The demand for real-time data processing and enhanced network performance is accelerating the adoption of edge computing.
The fast pace of digital transformation is further propelling market growth, as companies transition from traditional on-premises setups to cloud-based systems. This transformation necessitates advanced networking solutions to support cloud environments. Additionally, the growth in IoT device data is driving big data analytics, increasing the need for resilient networking infrastructure to process large data volumes.
Key Insights:
Hardware Dominance: With a 45% share, hardware leads due to the need for switches, servers, routers, and storage devices in data centers.
Software’s Role: Software also holds a substantial share, supporting network management, virtualization, and security.
Services on the Rise: Expected to be the fastest-growing segment, driven by integration, consulting, and remote support needs.
IT and Telecom Sector: This sector captures 35% of the market, fueled by the rise in small IT companies, smartphone adoption, internet access, and cloud usage.
Regional Leadership: Al-Riyadh holds a 40% market share due to the concentration of data centers and significant investments in infrastructure.
Market Players: The industry is consolidated with major players like HPE, Cisco, Dell, Huawei, IBM, and Intel, who bring extensive expertise in data center solutions.
Local Data Initiatives: In March 2024, Zoho Corp. launched data centers in Saudi Arabia to ensure data residency within national borders.
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Saudi Arabia Ranks Top in Government Strategy for AI | What AI App Development Holds for the Future?
Saudi Arabia's pioneering AI government strategy secures a top rank, marking a pivotal milestone in technological progress. Concurrently, the future of AI app development appears promising and transformative. Expect innovative applications that reshape industries and elevate user experiences. This synergy between strategic leadership and app innovation heralds a dynamic era fueled by the potential of artificial intelligence.
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We are one of the top Companies artificial intelligence companies in Dubai Abu Dhabi that provide businesses with an extensible customizable AI & IoT and data science solution that addresses the needs of a variety of use cases for enterprises Software.AI Integrations.
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HKSTP Leads Unprecedented Delegation of 25 Hong Kong Tech Ventures to Tap Fast-Growing Middle East Market at Saudi Arabia's FII8
HONG KONG SAR – Media OutReach Newswire – 28 October 2024 – The Hong Kong Science and Technology Parks Corporation (HKSTP) is bringing 25 Park companies focusing on green tech, biotech, AI & Robotics, etc. to Saudi Arabia’s Future Investment Initiative Institute 8th Edition (FII8) for the first time, joining the delegation led by Hong Kong Special Administrative Region (HKSAR)’s Financial…
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