GENEVA, June 10, 2026 /PRNewswire/ -- On June 8, a series of events in commemoration of the United Nations International Day for Dialogue among Civilizations was held in Geneva, Switzerland. The events were jointly organized by the State Council Information Office of China, the Permanent Mission of China to the United Nations Office at Geneva and Other International Organizations in Switzerland, and the International Confucian Association, and co-organized by the China Intercontinental Communication Center (CICC), the Information Office of the People's Government of Zhejiang Province, and the Information Office of the People's Government of Henan Province.
More than 200 representatives from over 50 countries attended a high-level seminar that afternoon. Under the theme "Equal Dialogue among Civilizations for a Better Future through Multilateral Cooperation", participants engaged in extensive discussions on promoting mutual understanding among civilizations and strengthening international cooperation.
A series of exhibitions showcasing the richness of world civilizations and the enduring appeal of Chinese culture were held. The graphic seals exhibition Mutual Learning Among Civilizations with a Shared World Vision, curated by the Xiling Seal Engraver's Society, offered visitors an interactive opportunity to appreciate the rich diversity of cultures around the world by incorporating distinctive cultural elements from all 193 United Nations member states into intricately designed seals. The Silk Road and Dunhuang: Millennia-Old Treasures for Humanity exhibition, presented by China Intercontinental Communication Center and the International Communication Center of Dunhuang Culture, showcased the remarkable achievements of cultural exchange and mutual learning between Eastern and Western civilizations along the Silk Road.
The Henan Elephant International Communication Center presented the immersive virtual reality experience Tang Palace Banquet. Drawing on archaeological findings and digital technologies, the exhibition brought the splendor of the Tang Dynasty to life.
In the evening, an art performance entitled Beyond Borders: Weaving Cultures Through Artistic Expressions, presented by Henan Broadcasting System, the Ningbo Symphony Orchestra, and the China Disabled People's Performing Art Troupe, captivated audiences with a vibrant celebration of cultural exchange. Through a diverse range of artistic forms, the performance served as a bridge for dialogue among civilizations and showcased the beauty of cultural convergence.
In June 2024, the United Nations General Assembly unanimously adopted a resolution proposed by China designating June 10 as the International Day for Dialogue Among Civilizations.
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International Day for Dialogue Among Civilizations Events Held in Geneva
International Day for Dialogue Among Civilizations Events Held in Geneva
International Day for Dialogue Among Civilizations Events Held in Geneva
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New study reveals why the Greenfield vs. Brownfield debate is the #1 planning mistake in modern data migrations.
MUNICH, June 10, 2026 /PRNewswire/ -- The biggest risk in a large data transformation isn't choosing the wrong starting point: it's choosing a path which can't be changed. Deciding between a greenfield or brownfield approach feels like a strategic milestone. In reality and proved in the recent Natuvion Transformation Study 2026, conducted by the data transformation specialist Natuvion and NTT Data Business Solutions, it is often the first mistake in planning a migration. All too often, it is assumed that transformations can be planned perfectly from day one. In reality, they rarely are. The uncomfortable truth is that plans are very likely to change during the migration process. According to the 2026 Transformation Study 71 percent of companies change their migration approach mid-project.
The Natuvion Transformation Study also shows that 44% of large-scale transformations in the USA take between one and two years. In that window, everything is in motion: business models shift, regulatory requirements evolve, data environments change, and internal priorities pivot.
When the original plan no longer holds, a rigid strategy becomes a liability. Nevertheless, many organizations start with a binary choice: from a US perspective Greenfield (start fresh) was chosen by 17% and Brownfield (lift and shift) by 39%, compared to the global results of 34% for Brownfield and 20% for Greenfield. While this deceptive clarity seems helpful at kickoff, it is a dangerous illusion. Neither approach is natively designed to adapt when missing data, legacy complexities, or new compliance rules appear twelve months into the roadmap.
"When a strategy is too stiff to bend, it breaks. This leads to slipped timelines, budget hemorrhaging, and stalled innovation. The failure isn't a result of poor execution; it is a result of a decision that was too rigid to account for the "moving target" of modern business", says Joanne Lang CEO of Natuvion Americas. "The defining factor of a successful transformation isn't the initial plan. It's the capability to adapt that plan without starting over. This is where Selective Data Transition changes the game. It isn't a compromise; it is a strategic capability that allows companies to change direction during the project, ensure that data remains safe, accessible, and compliant, no matter how the mission changes."
Three rules companies should keep in mind before planning a data migration:
- Prioritize partners, not just paths: Never choose tools or partners that only support one methodology. If the setup isn't capable of meeting tomorrow's demands, the transformation is at risk from the very start.
- The greenfield requirement: If starting from scratch, it must be possible to migrate existing data and processes as soon as they become relevant.
- The brownfield requirement: When migrating data using the "lift-and-shift" method, the process must be carried out with surgical precision to exclude or restructure data without breaking the core.
"Transformation is not a static concept; it is a moving target. The "best" plan isn't the one that looks good on a slide deck today. It's the one that remains viable when reality shifts tomorrow. In 2026, the winners won't be those who committed to a single approach, but those who prioritized the flexibility to keep the lights on and the data moving, regardless of the obstacles", Patric Dahse CEO of Natuvion concluded.
The full 2026 IT Transformation Study will be published in June and can be pre-ordered for free on the Natuvion website at: https://www.natuvion.com/transformation-study-2026/
About Natuvion
Natuvion is a digital moving company that moves business-critical data and processes from one technology platform to another. Natuvion experts are called in when medium-sized and large enterprises want to modernize, optimize, separate, merge, or restructure their IT systems. With its exclusive expertise in technical transformation, Natuvion enables its customers to run their data and processes on the most modern and innovative technologies available. To support data transformations, Natuvion leverages its proprietary software solution, Natuvion DCS. Natuvion is a founding member of the SAP S/4HANA Selective Data Transition Engagement Community and has been part of NTT DATA Business Solutions AG, a leading global SAP consultancy, since 2022.
More information at www.natuvion.com
New study reveals why the Greenfield vs. Brownfield debate is the #1 planning mistake in modern data migrations.
MUNICH, June 10, 2026 /PRNewswire/ -- The biggest risk in a large data transformation isn't choosing the wrong starting point: it's choosing a path which can't be changed. Deciding between a greenfield or brownfield approach feels like a strategic milestone. In reality and proved in the recent Natuvion Transformation Study 2026, conducted by the data transformation specialist Natuvion and NTT Data Business Solutions, it is often the first mistake in planning a migration. All too often, it is assumed that transformations can be planned perfectly from day one. In reality, they rarely are. The uncomfortable truth is that plans are very likely to change during the migration process. According to the 2026 Transformation Study 71 percent of companies change their migration approach mid-project.
The Natuvion Transformation Study also shows that 44% of large-scale transformations in the USA take between one and two years. In that window, everything is in motion: business models shift, regulatory requirements evolve, data environments change, and internal priorities pivot.
When the original plan no longer holds, a rigid strategy becomes a liability. Nevertheless, many organizations start with a binary choice: from a US perspective Greenfield (start fresh) was chosen by 17% and Brownfield (lift and shift) by 39%, compared to the global results of 34% for Brownfield and 20% for Greenfield. While this deceptive clarity seems helpful at kickoff, it is a dangerous illusion. Neither approach is natively designed to adapt when missing data, legacy complexities, or new compliance rules appear twelve months into the roadmap.
"When a strategy is too stiff to bend, it breaks. This leads to slipped timelines, budget hemorrhaging, and stalled innovation. The failure isn't a result of poor execution; it is a result of a decision that was too rigid to account for the "moving target" of modern business", says Joanne Lang CEO of Natuvion Americas. "The defining factor of a successful transformation isn't the initial plan. It's the capability to adapt that plan without starting over. This is where Selective Data Transition changes the game. It isn't a compromise; it is a strategic capability that allows companies to change direction during the project, ensure that data remains safe, accessible, and compliant, no matter how the mission changes."
Three rules companies should keep in mind before planning a data migration:
- Prioritize partners, not just paths: Never choose tools or partners that only support one methodology. If the setup isn't capable of meeting tomorrow's demands, the transformation is at risk from the very start.
- The greenfield requirement: If starting from scratch, it must be possible to migrate existing data and processes as soon as they become relevant.
- The brownfield requirement: When migrating data using the "lift-and-shift" method, the process must be carried out with surgical precision to exclude or restructure data without breaking the core.
"Transformation is not a static concept; it is a moving target. The "best" plan isn't the one that looks good on a slide deck today. It's the one that remains viable when reality shifts tomorrow. In 2026, the winners won't be those who committed to a single approach, but those who prioritized the flexibility to keep the lights on and the data moving, regardless of the obstacles", Patric Dahse CEO of Natuvion concluded.
The full 2026 IT Transformation Study will be published in June and can be pre-ordered for free on the Natuvion website at: https://www.natuvion.com/transformation-study-2026/
About Natuvion
Natuvion is a digital moving company that moves business-critical data and processes from one technology platform to another. Natuvion experts are called in when medium-sized and large enterprises want to modernize, optimize, separate, merge, or restructure their IT systems. With its exclusive expertise in technical transformation, Natuvion enables its customers to run their data and processes on the most modern and innovative technologies available. To support data transformations, Natuvion leverages its proprietary software solution, Natuvion DCS. Natuvion is a founding member of the SAP S/4HANA Selective Data Transition Engagement Community and has been part of NTT DATA Business Solutions AG, a leading global SAP consultancy, since 2022.
More information at www.natuvion.com
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
Natuvion study shows 71% of data transformations shift mid-project
Natuvion study shows 71% of data transformations shift mid-project
Natuvion study shows 71% of data transformations shift mid-project
