Technology
Neural Machine Translation (NMT) Market to Reach USD 1 Billion by 2030 with Rising Demand Across Government and Defense, B2B, and Multilingual Sectors | Valuates Reports
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Neural Machine Translation (NMT) Market is Segmented by Type (Cloud, On-Premise), by Application (B-end Customer, C-end Customer, Government and Defense): Global Opportunity Analysis and Industry Forecast, 2024-2030.
BANGALORE, India, Nov. 14, 2024 /PRNewswire/ — The Global Neural Machine Translation (NMT) market was valued at USD 464.07 Million in 2023 and is anticipated to reach USD 1019.62 Million by 2030, witnessing a CAGR of 11.77% during the forecast period 2024-2030.
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Major Factors Driving the Growth of Neural Machine Translation (NMT) Market:
The Neural Machine Translation market is expanding rapidly, driven by rising demand for multilingual solutions in business, government, and media. Factors such as globalization, increased content localization, and advancements in AI integration propel NMT’s adoption across industries. As organizations and governments prioritize efficient cross-language communication, NMT serves as a transformative tool, ensuring accurate, accessible translations for diverse audiences. The market is set for sustained growth, with new applications and industries recognizing the value of real-time, contextually accurate translation solutions, positioning NMT as an essential component of modern global communication strategies.
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TRENDS INFLUENCING THE GROWTH OF THE NEURAL MACHINE TRANSLATION (NMT) MARKET:
Cloud-based Neural Machine Translation (NMT) solutions are revolutionizing translation services by offering scalable, flexible, and cost-effective methods for organizations of all sizes. Unlike traditional translation models, cloud-based NMT processes large volumes of data at scale, enabling real-time translation that enhances business operations, global communication, and customer service. These solutions integrate easily with existing cloud infrastructures, streamlining workflows for businesses without requiring extensive on-premise resources. By allowing instant access to multilingual capabilities, cloud-based NMT helps companies efficiently localize content, respond to diverse customer bases, and improve international partnerships. This ease of integration makes cloud-based NMT an appealing choice for organizations expanding globally, as it supports seamless interactions in multiple languages without significant infrastructure investments. As more businesses prioritize international growth and engagement, the demand for cloud-based NMT continues to rise, positioning it as a key driver of the Neural Machine Translation market.
On-premise NMT solutions are increasingly sought after by organizations handling sensitive data, such as those in healthcare, finance, and government sectors, where privacy and data control are paramount. Unlike cloud-based models, on-premise NMT operates within the organization’s infrastructure, ensuring that all data remains securely on-site. This local setup enables businesses to customize translation models according to their specific industry requirements, improving translation accuracy and relevance while upholding stringent data protection standards. The demand for on-premise NMT is driven by industries that prioritize confidentiality and regulatory compliance, as this model offers a secure, controlled environment for managing sensitive information. By implementing on-premise NMT, organizations can meet industry-specific data security regulations and avoid potential risks associated with third-party cloud solutions. As companies increasingly prioritize data security and control, the adoption of on-premise NMT solutions rises, contributing significantly to the growth of the overall NMT market.
The B2B sector’s demand for reliable, accurate, and scalable translation solutions is a major growth driver for the NMT market. In industries like e-commerce, legal services, and international trade, B2B interactions often require seamless communication across languages to facilitate deals, ensure compliance, and maintain accurate documentation. NMT enables B2B companies to quickly and efficiently translate large volumes of text, such as contracts, user manuals, and technical documents, allowing for smooth operations across global supply chains and partnerships. By providing immediate, high-quality translations, NMT enhances efficiency and reduces language barriers, which is critical for businesses engaging with clients, suppliers, and partners in different regions. Additionally, NMT’s ability to support specialized terminology and industry-specific language makes it a valuable tool for B2B operations requiring precision. The increasing need for robust multilingual communication within the B2B segment continues to drive NMT adoption, supporting the market’s ongoing expansion.
Globalization has significantly increased the need for multilingual communication across industries, as businesses expand into new markets and interact with diverse customer bases. Neural Machine Translation provides an efficient solution for real-time, high-quality translations that facilitate smooth cross-border communication. This demand for fast, accurate translation services to support international operations drives the adoption of NMT, as it enables companies to communicate effectively in multiple languages without extensive translation resources. As globalization continues to accelerate, particularly in sectors like e-commerce, finance, and manufacturing, the demand for scalable, multilingual communication solutions supports the sustained growth of the NMT market.
The global expansion of e-commerce has created a pressing need for localized product descriptions, customer support, and marketing materials to effectively engage diverse audiences. NMT helps e-commerce businesses overcome language barriers by providing accurate translations tailored to local markets, enhancing customer experience and increasing conversion rates. By enabling quick and affordable localization, NMT supports e-commerce platforms in meeting customer expectations across regions. This capability is essential for online retailers looking to reach customers in new markets, as it allows them to deliver personalized and accessible experiences. The e-commerce sector’s focus on localization drives the demand for NMT solutions, contributing significantly to the market’s growth.
The legal and financial industries require precise, timely translations to handle documents, contracts, and regulations that often vary by region. NMT provides an efficient and reliable solution for translating industry-specific terminology with high accuracy, essential for maintaining compliance and accuracy in these critical sectors. Legal firms, banks, and financial institutions use NMT to quickly translate documents across multiple languages while preserving the specific context and terminology required. This capability is particularly valuable for firms engaged in international operations, where translation errors can lead to compliance issues or financial losses. The increased demand for reliable translations in these sensitive sectors drives the NMT market’s growth, as businesses seek to ensure accuracy and regulatory adherence.
Customer service departments increasingly utilize NMT to deliver real-time multilingual support, enhancing customer satisfaction and engagement across different regions. By enabling customer service agents to communicate effectively in customers’ preferred languages, NMT helps companies deliver better support, reduce wait times, and improve the overall customer experience. This immediate, multilingual support is essential for global businesses aiming to provide accessible and efficient service to diverse clientele. The ability of NMT to support multiple languages in real-time makes it an invaluable tool in customer service, where clear communication is key. As businesses prioritize customer experience, the demand for NMT in customer service applications continues to grow, further driving market expansion.
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NEURAL MACHINE TRANSLATION (NMT) MARKET SHARE:
Regional growth in the NMT market varies according to technological infrastructure, language diversity, and industry demand. North America and Europe lead the market due to high levels of technology adoption and the presence of multinational corporations requiring multilingual support. Asia-Pacific demonstrates significant growth potential, driven by expanding e-commerce and manufacturing sectors that rely on cross-language communication. Latin America and the Middle East are emerging regions, where industries such as healthcare, education, and government are increasingly adopting NMT solutions. Each region’s unique demands contribute to the NMT market’s global expansion, as localization needs and language diversity shape regional growth patterns.
Key Companies:
NMTCompaniesIBMLionbridgeMicrosoftRWSGOOGLE INCGoogleGoogle LLCTencentAWSOmniscien TechnologiesBaiduTencent Cloud TMTApptekSmart CommunicationsKantanAI
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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!
– Machine Translation market is projected to reach USD 1098.8 Million in 2029, increasing from USD 487.1 Million in 2022, with the CAGR of 12.5% during the period of 2023 to 2029.
– Machine Foreign Language Translation Systems market was valued at USD 489.2 Million in 2023 and is anticipated to reach USD 1071 Million by 2030, witnessing a CAGR of 12.2% during the forecast period 2024-2030.
– Machine Translation-Based Intelligent Services Market
– Localization Translation Tools Market
– The global market for Translator Earbuds was estimated to be worth USD 263 Million in 2023 and is forecast to a readjusted size of USD 547.6 Million by 2030 with a CAGR of 11.5% during the forecast period 2024-2030.
– AI Language Translation Services Market Research Report
– AI Video Subtitle Translator Market Research Report
– The global market for On-Premise Machine Translation was estimated to be worth USD 32 Million in 2023 and is forecast to a readjusted size of USD 62 Million by 2030 with a CAGR of 9.9% during the forecast period 2024-2030.
– The global market for Cloud Machine Translation was estimated to be worth USD 455 Million in 2023 and is forecast to a readjusted size of USD 1034.4 Million by 2030 with a CAGR of 12.6% during the forecast period 2024-2030
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Tony Jaa Becomes GAC’s 30-Millionth Customer – GAC Wins Global Trust with “True Craftsmanship”
Published
28 minutes agoon
July 25, 2026By
GUANGZHOU, China, July 25, 2026 /PRNewswire/ — On July 16, at the roll-off ceremony for GAC’s 30-millionth vehicle, Feng Xingya, Chairman of GAC Group, handed over the key to the right-hand-drive GAC M8 PHEV (named GN8 overseas) to Tony Jaa. The milestone vehicle is headed straight for overseas markets.
Thai action superstar Tony Jaa’s choice reflects the trust of 30 million customers worldwide. That trust is built not on showmanship, but on GAC’s solid manufacturing “true craftsmanship.”
From Guangzhou to the world, there are no shortcuts – quality speaks for itself. While the industry runs standard “three-high” tests, GAC pushes further with “five-high, one-mountain, one-dust” extreme vehicle trials. New models undergo at least “two winters and one summer” of validation – a minimum 18 months of real-world road testing, covering 12 major categories and over 1,500 sub-items across wind tunnel labs and proving grounds.
For each overseas market, GAC conducts additional adaptive testing for local climate and road conditions – from Middle Eastern desert heat to Southeast Asia’s humidity and heavy rains.
Quality consistency starts at the smart manufacturing front. GAC’s AION Intelligent Eco-Plant is the world’s first “Lighthouse Factory” for new energy vehicles, featuring full-process digital quality monitoring. Automated robots with AI vision systems deliver millisecond response and millimeter-level precision – ensuring uniform quality whether vehicles roll off lines in Guangzhou or overseas plants.
Safety comes first. GAC’s magazine battery has been deployed in 1.5 million vehicles, accumulating over 160 billion kilometers of safe driving. The Starlink Safety Protection System serves nearly 2 million users, preventing 6.28 million potential incidents.
With this commitment to quality and safety, GAC has established a presence in 110 countries and won the trust of 30 million users. Standing at this new milestone, GAC will continue to refine its craftsmanship and deliver worry-free, high-quality mobility experiences to every customer worldwide.
For further information about GAC, please visit: https://www.gacgroup.com/en or follow us on social media.
View original content to download multimedia:https://www.prnewswire.co.uk/news-releases/tony-jaa-becomes-gacs-30-millionth-customer–gac-wins-global-trust-with-true-craftsmanship-302834637.html
Technology
Alisira OÜ Publishes Findings on Why Most Marketing Dashboards Miss the Metrics That Matter
Published
28 minutes agoon
July 25, 2026By
Alisira OÜ has published a set of findings examining why so many marketing dashboards continue to fail to surface the numbers that actually shape decisions. The review looks at the gap between the volume of data modern platforms can collect and the amount that actually gets used when a marketing team sits down to figure out what is supposed to happen next.
TALLINN, Estonia, July 25, 2026 /PRNewswire-PRWeb/ — A Widening Gap Between Data Collection and Decision-Making
What there is often a shortage of, according to Alisira, is a dashboard that actually connects the numbers it displays to a decision someone in the room is genuinely trying to make. That distinction is where most measurement setups tend to fall apart quietly. A dashboard can be full of activity metrics, things like impressions, click volume, and session counts, without ever getting around to answering the question a budget owner is really asking. That question is usually some version of whether a given effort is working and whether more resources should be put behind it. Engagement is easy to display. Revenue contribution by channel takes more work to calculate correctly, particularly once multiple touchpoints and delayed purchases are involved, so it is the piece that tends to be most often left out of the weekly report. However, it is also the piece that leadership actually cares about when the conversation turns serious.
Where Standard Dashboards Fall Short
Alisira’s review identifies several categories of metrics that tend to be underrepresented on standard marketing dashboards, even in cases where the underlying data would in principle be accessible:
Cross-channel attribution, as opposed to last-click or single-platform creditCustomer lifetime value by acquisition source, rather than only first-purchase conversion ratesTime-to-conversion, which is frequently collapsed into a single count with no indication of the lag that is actually involvedAssisted conversions, where a channel contributed to a sale without being the final touchpointCohort-based retention figures, in place of a single blended retention % that has a tendency to hide which groups are actually staying and which are quietly leaving
Part of the difficulty is traceable back to how fragmented most measurement setups tend to be in the first place. Only 32% of marketers globally measure their media spending across both digital and traditional channels, according to Nielsen, which leaves the majority of teams working from a partial view before the dashboard-design questions have even come into play. Alisira’s findings suggest this is less a tooling problem than it is a structural one. What most organizations lack, more often than not, is a single point in the workflow where channel-level data is reconciled before it reaches a decision-maker in a usable form.
Alisira OÜ frames these findings as part of a broader shift away from dashboards built to display everything a platform can track, toward dashboards built around a smaller, more deliberate set of numbers tied to what a team actually decides to do next. The company plans to continue publishing analysis on measurement practices and marketing reporting in the months ahead.
Media Contact
Norman Drew, Alisira OÜ, 372 53687131, info@alisira.net, https://www.alisira.net/
View original content:https://www.prweb.com/releases/alisira-ou-publishes-findings-on-why-most-marketing-dashboards-miss-the-metrics-that-matter-302833819.html
SOURCE Alisira OÜ
Technology
Hyundai Motor Group Executive Chair Euisun Chung Announces Physical AI Vision at San Francisco AI Summit
Published
1 hour agoon
July 25, 2026By
Hyundai Motor Group shares roadmap for realizing its Physical AI vision and collaboration strategy with global tech leaders at the San Francisco AI Summit
Executive Chair Euisun Chung presented, “Hyundai Motor Group is evolving beyond the traditional boundaries of automotive manufacturing to become a Physical AI solution company,” adding, “The ultimate Physical AI vision we pursue is the realization of integrated intelligence at the city level”
The Group to leverage manufacturing competitiveness and leading robotics capabilities centered on Boston Dynamics, while establishing a data flywheel system connecting real-world operational data with continuous AI model advancement
The Group to leverage strategic partnerships with global technology leaders, including NVIDIA and Waymo, as well as Boston Dynamics’ strategic partnership with Google DeepMind
The Group to collaborate with NVIDIA to develop a Robot Reference Platform that combines Hyundai Motor Group’s and NVIDIA’s Physical AI capabilities
… The initiative to support Korea’s Physical AI industry through an open ecosystem
The Group to cultivate strategic domestic hubs through investments in Saemangeum AI Valley and future advanced industries in Korea’s Yeongnam region
SAN FRANCISCO, July 25, 2026 /PRNewswire/ — Hyundai Motor Group (the Group) Executive Chair Euisun Chung today outlined the Group’s vision and strategy for Physical AI at the San Francisco AI Summit held in San Francisco, California.
The event brought together approximately 150 attendees, including Executive Chair Chung, business leaders from major Korean companies, executives from leading U.S. technology firms, startup representatives and students.
At the summit, Executive Chair Chung presented the Group’s roadmap for advancing Physical AI and outlined strategic collaboration plans with global technology leaders.
“Hyundai Motor Group is evolving beyond the traditional boundaries of automotive manufacturing by expanding into autonomous driving, robotics and AI Defined Factories, accelerating our transformation into a Physical AI solution company.” — Hyundai Motor Group Executive Chair Euisun Chung
Accelerating the Transition to a Physical AI Solution Company
Hyundai Motor Group’s Physical AI vision extends beyond intelligent devices such as vehicles and robots to intelligent spaces, including AI factories where AI seamlessly connects and optimizes entire operations. Ultimately, the Group envisions integrated intelligence at the city level, where urban infrastructure is organically connected and operated through AI.
A key differentiator for the Group is its ability to create a data flywheel that continuously connects real-world operations with AI advancement. Drawing on extensive experience in large-scale manufacturing, mobility, robotics and service operations, the Group is positioned to deploy, refine and scale Physical AI technologies in real industrial environments.
Executive Chair Chung also outlined strategic partnerships with leading technology companies, including NVIDIA and Waymo, as well as Boston Dynamics’ strategic partnership with Google DeepMind, to further advance Physical AI capabilities.
By combining Hyundai Motor Group’s manufacturing competitiveness, mobility and robotics technologies and extensive operational data with the AI infrastructure and algorithm capabilities of global technology leaders, the Group aims to help foster a new innovation ecosystem for the Physical AI era.
Executive Chair Chung also introduced initiatives designed to support the growth of Korea’s robotics and AI ecosystem, including the development of a Robot Reference Platform with NVIDIA that combines Hyundai Motor Group’s and NVIDIA’s Physical AI capabilities, as well as investments in initiatives such as the Saemangeum AI Valley.
Physical AI Vision: From Intelligent Devices to Integrated Intelligence at the City Level
During the summit, Executive Chair Chung presented Hyundai Motor Group’s Physical AI vision.
“The ultimate Physical AI vision Hyundai Motor Group pursues begins with intelligent devices such as vehicles and robots, expands to intelligent spaces such as AI factories, and ultimately realizes integrated intelligence at the city level, where urban infrastructure is seamlessly connected and operated.” — Hyundai Motor Group Executive Chair Chung
The Group’s vision begins with intelligent devices, where AI capabilities enhance vehicles and robots. It then expands to intelligent spaces, including AI factories where AI autonomously integrates logistics, production and quality management across entire operations.
Ultimately, Hyundai Motor Group envisions city-level intelligence, where critical infrastructure and assets — including energy, mobility and robotics systems — are connected and optimized in real time.
Executive Chair Chung also highlighted the Group’s key strengths in realizing its Physical AI vision:
World-class manufacturing competitiveness: Hyundai Motor Group has built extensive expertise through decades of operating global manufacturing facilities, managing quality systems and optimizing supply chains. This foundation enables the Group to apply AI technologies to products, processes and services while rapidly validating and scaling innovations in real-world environments.
Leading robotics capabilities: Hyundai Motor Group has established robotics as a key pillar of its future business portfolio. Boston Dynamics’ quadruped robot Spot®, logistics robot Stretch®, and Hyundai Motor Group Robotics LAB’s next-generation mobile robot platform MobED are recognized for combining technological competitiveness with real-world applicability.
In particular, the humanoid robot Atlas® is emerging as a representative example of Physical AI, supporting and collaborating with people across manufacturing, logistics and mobility environments.
Establishing a data flywheel system: Hyundai Motor Group is establishing a data flywheel system that leverages data generated across manufacturing operations, vehicles, logistics systems and robotics demonstrations to continuously advance AI models. Enhanced algorithms are then reapplied to real-world operations, creating a virtuous cycle that improves performance and strengthens Physical AI capabilities.
Accelerating the Future of Physical AI Through Partnerships with Global Tech Leaders
Executive Chair Chung also outlined concrete initiatives to position Hyundai Motor Group as a leader in human-centered Physical AI through strategic collaborations with NVIDIA and Waymo, as well as Boston Dynamics’ strategic partnership with Google DeepMind.
“By combining Hyundai Motor Group’s strengths in manufacturing, robotics and data with the capabilities of global technology leaders, we can help create a new innovation ecosystem for the Physical AI era.” — Hyundai Motor Group Executive Chair Euisun Chung
NVIDIA – Advancing Physical AI infrastructure and talent development
Hyundai Motor Group is expanding collaboration with NVIDIA to strengthen Physical AI infrastructure and cultivate AI talent. Building on a supply agreement for 50,000 NVIDIA Blackwell GPUs and a memorandum of understanding signed last year to advance Korea’s Physical AI capabilities, the Group is pursuing a range of initiatives, including the establishment of Hyundai Motor Group Robot Application Center, as well as various collaborations aimed at strengthening Korea’s Physical AI infrastructure and AI talent ecosystem, including the NVIDIA’s AI Technology Center.
In manufacturing, the Group is leveraging NVIDIA’s platform to create more sophisticated digital twins of production facilities, enhancing process design, operational optimization and validation efficiency. The collaboration also includes the integration of NVIDIA’s autonomous driving solutions, including automotive semiconductors, sensors and architecture, with Hyundai Motor Group vehicle platforms.
Waymo – Strengthening autonomous driving collaboration
Hyundai Motor Group continues to strengthen its strategic partnership with Waymo in the autonomous driving sector to support the development of a safe and innovative autonomous driving ecosystem. Autonomous driving vehicles require a wide range of specialized capabilities, including redundant systems for steering, braking, power and communications, dedicated features such as power-operated doors, as well as enhanced functional safety and cybersecurity technologies.
Hyundai Motor Group plans to produce IONIQ 5 vehicles with specific autonomous-ready modifications at Hyundai Motor Group Metaplant America (HMGMA) in Georgia.
Google DeepMind – Accelerating next-generation humanoid robotics
Boston Dynamics has established a strategic partnership with Google DeepMind to accelerate the development of next-generation humanoid robots. Advanced AI models and training systems are essential for robots to perform complex tasks in real-world environments and collaborate effectively with people. Through this partnership, Boston Dynamics robots are expected to achieve greater autonomy and adapt more effectively to complex operating environments.
Hyundai Motor Group plans to establish a robot production facility in the U.S. with an annual capacity of up to 30,000 units by 2028. The Atlas humanoid robot will first be deployed at production facilities including HMGMA before broader deployment is expanded through phased validation.
Building an Open Ecosystem Through the Robot Reference Platform and Continued Investment in Korea’s Physical AI Future
Executive Chair Chung also outlined initiatives aimed at supporting the growth of Korea’s Physical AI ecosystem through open collaboration and continued investment.
“The outcomes of collaboration with global technology leaders should contribute to the growth of Korea’s Physical AI industry. To that end, Hyundai Motor Group plans to foster an open ecosystem that supports innovation in robotics and AI technologies.” — Hyundai Motor Group Executive Chair Euisun Chung
Key initiatives to build an open ecosystem for robotics and AI innovation include:
Robot Reference Platform: Hyundai Motor Group and NVIDIA are collaborating to develop a Robot Reference Platform that combines Hyundai Motor Group’s and NVIDIA’s Physical AI capabilities.
The platform will provide research robot models to universities, research institutes and startups, helping foster an open ecosystem that supports technological innovation and the development of Physical AI talent while contributing to the broader growth of Korea’s robotics and AI industries.
Supporting universities, research institutes and startups: The Robot Reference Platform is expected to provide universities, research institutes and startups with a standardized hardware and software environment, enabling them to more easily develop and validate Physical AI technologies. The initiative aims to help address challenges faced by organizations with innovative ideas but limited access to commercialization opportunities and validation infrastructure.
Hyundai Motor Group is also continuing large-scale investments aimed at driving the next leap forward in Korea’s industrial and technology ecosystem. Continued investments in Korea’s industrial and technology ecosystem include:
Saemangeum AI Valley: In the Saemangeum region of Jeonbuk State, the Group is developing Saemangeum AI Valley, which includes an approximate KRW 9 trillion investment in AI data centers, robotics manufacturing clusters, electrolyzer plants and AI hydrogen city infrastructure.
In particular, the robotics manufacturing cluster will serve not only as a production base for the Group’s own robotics products, but also as a robotics foundry that provides manufacturing services for small and medium-sized enterprises that lack manufacturing expertise.
Advanced industrial hubs in the Yeongnam region: Hyundai Motor Group plans to invest a total of KRW 42 trillion over the next decade to foster advanced industrial hubs focused on AI-driven manufacturing, future aerospace industries and sustainable energy infrastructure.
Through these initiatives, Hyundai Motor Group aims to strengthen key foundations for the Physical AI era, including data and energy infrastructure, robotics production capabilities and real-world validation capabilities. The Group also expects these investments to contribute to enhanced industrial competitiveness, balanced regional development, job creation and broader economic vitality in Korea.
About Hyundai Motor Group
Hyundai Motor Group is a global enterprise that has created a value chain based on mobility, steel, and construction, as well as logistics, finance, IT, and service. With about 250,000 employees worldwide, the Group’s mobility brands include Hyundai, Kia, and Genesis. Armed with creative thinking, cooperative communication, and the will to take on any challenges, we strive to create a better future for all.
More information about Hyundai Motor Group can be found at: http://www.hyundaimotorgroup.com or Newsroom: Media Hub by Hyundai, Kia Global Newsroom, Genesis Newsroom
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SOURCE Hyundai Motor Company
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