Marking the 40th Anniversary in Greater China and Co-Creating a New Chapter of Quality
HONG KONG, May 29, 2026 /PRNewswire/ -- Ahead of the upcoming 19th "World Accreditation Day" on June 9, the 3rd TÜV Rheinland Quality Fest has officially commenced. Building on the strong momentum and industry attention of its previous two editions, the TÜV Rheinland Quality Fest has become an important link connecting industry, the public, and brands.
Coinciding with the 40th anniversary of TÜV Rheinland Greater China this year, the Quality Fest has been comprehensively upgraded. Centered around the core themes of the experience economy, digital trust, and sustainable value innovation, a two-month series of activities has been planned. The initiative aims to empower high-quality industry development, strengthen industry exchange, bring the concept of "quality" closer to everyday life, and enhance employee engagement with the brand, while showcasing the evolving mission and responsibility of a century-old testing, inspection, and certification (TIC) organization.
A Convergence of Technology and Human Touch
This year's Quality Fest adopts a brand-new visual identity, featuring a modern, technology-inspired design with vibrant colors. TÜV Rheinland's mascot "Tuvy" makes a fresh appearance as a knight holding a shield and sword interpreting the brand philosophy of a "trusted technical guardian." At the same time, the official theme song and music video have been released. The upbeat theme song was created with the participation of AI throughout the production process, resulting in a catchy and engaging melody. The music video also incorporates a wide range of AI-generated visual elements, fully demonstrating TÜV Rheinland's forward-looking approach in leveraging digital tools to drive business innovation and brand communication. Click here to view the MV
B2C Pop-up Experiences: Making "Trustworthiness" Visible and Tangible
To bridge the gap between professional certification and everyday life, this year's Quality Fest introduces innovative, multi-scenario offline pop-up experiences that make reliable quality both visible and tangible for consumers.
A themed pop-up cat café in Shanghai will focus on "pet-friendly" concepts, integrating TÜV Rheinland's services in pet product testing, "pet-friendly" certification for smart appliances, testing and evaluation of pet medical devices, and auditing of "pet-friendly" venues. Through immersive scenarios, the experience aims to provide an added layer of professional assurance for pets.
In Taipei, an eye-care electronics pop-up experience will be organized, combining interactive activities with knowledge sharing on eye health, enabling consumers to understand the value of eye-care certification in promoting a healthy lifestyle. Additional interactive activities will also be planned to further connect quality concepts with daily life through engaging formats.
Brand Knowledge Challenge: 40th Anniversary Rewards and Engagement
To celebrate four decades in Greater China, an online Brand Knowledge Challenge will run throughout the festival. Consumers can follow TÜV Rheinland's official social media accounts to participate in interactive quizzes. Participants can learn about the company's history and TIC expertise while entering a draw to win exclusive gifts.
Quality Fest Ambassadors: Employees as Brand Communicators
Last year, TÜV Rheinland introduced the "Quality Fest Ambassador" initiative for the first time, inviting employees to participate in the creation of short video content under the theme of "little-known facts" about the TIC industry, which received positive feedback.
This year, the ambassador programme will be further expanded, encouraging employees to break down complex testing and certification concepts into engaging, easy-to-understand content. By debunking common misconceptions and explaining the value behind certification marks, employees will help convey TÜV Rheinland's core mission and bring technical trust closer to the public.
World Accreditation Day: Driving High-Quality Industry Development
In celebration of the 19th World Accreditation Day, TÜV Rheinland will actively participate in a series of events hosted by market regulatory authorities and industry organizations across the region. By collaborating with stakeholders from government, industry, and academia, TÜV Rheinland aims to drive technological innovation and standards development. This collective effort supports the standardization, sustainability, and compliance upgrades of the TIC industry, paving the way for global expansion.
The 3rd TÜV Rheinland Quality Fest embraces a more open approach and innovative expression, inviting all stakeholders to explore new possibilities for the future of quality.
For more information and a chance to win special gifts, please follow TÜV Rheinland's official social media channels.
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
The 3rd TÜV Rheinland Quality Fest Officially Kicks Off
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- Most surveyed technology leaders are accountable for systems they don't fully control
- Only 11% of respondents say they're completely prepared for the scale of AI agent deployment
- Organizations that design control into their AI systems achieve significantly stronger performance outcomes.
ARMONK, N.Y., June 8, 2026 /PRNewswire/ -- A new IBM (NYSE: IBM) Institute for Business Value study reveals that as AI moves from experimentation to enterprise-wide deployment, two-thirds of surveyed CIOs and CTOs report being held accountable for AI systems they do not fully control, while governance struggles to keep pace at scale.
The global study* of 2,000 C-level technology executives (tech CxOs) finds that the lack of visibility is widespread. The majority of surveyed executives (70%) say teams across the business are deploying technology faster than IT can track.
At the same time, technology leaders face growing pressure to scale AI faster, even as many lack the structures to support it. By 2027, surveyed tech CxOs anticipate a 38% increase in the number of AI agents deployed. While 80% of respondents report CEO-driven AI transformation mandates, only 11% believe they are fully ready for the scale of AI agent deployment expected in the next year. Governance is also falling behind, with 77% of organizations surveyed reporting AI adoption is already outpacing current governance capabilities.
"For CIOs and CTOs, the challenge now is scaling AI systems that operate continuously and autonomously, often within governance models and architectures designed for a far slower, more predictable environment," said Matt Lyteson, CIO, IBM. "It is no longer just about deploying AI faster. It's redesigning how organizations control, govern and invest in it and embedding control and visibility from the start, so they can scale with confidence."
As AI scales, operational and security risks are growing
- Analysis shows that in organizations relying on manual governance, incident risk increases as AI adoption scales, whereas those that embed control directly into their AI systems experience 25% fewer incidents.
- Most (59%) of tech CxOs surveyed cite security and compliance concerns as top barriers to scaling AI agents.
- Surveyed organizations experienced an average of 54 AI agent incidents last year, in which an unintended and/or harmful occurrence required human correction.
- According to respondents, 17% of those AI agent incidents reported were high severity, requiring more than four hours to contain:
- 37% resulted in data exposure or security breaches
- 33% caused cascading system failures
- 17% triggered compliance issues
Organizations that redesign AI control and investment see stronger outcomes
- AI spend is projected to grow from just under 15% of IT budgets in 2025 to nearly 25% by 2027 – a 71% increase in two years, raising the stakes for CIOs and CTOs.
- Yet, 84% of tech CxOs have not fully operationalized AI financial management, and 85% still lack full visibility into real-time AI spend.
- Analysis finds that organizations that build control into their AI systems:
- deploy 16x more AI agents than those relying on manual governance
- deliver 18% higher operating margins
- spend 4x less of their AI budget
- Analysis shows organizations with strong financial discipline:
- deploy 2.4x more AI agents with no higher AI/IT budget
- are 3x more likely to say they are fully prepared for AI scale
- Surveyed organizations that designed for adaptability early – keeping workloads portable and models replaceable rather than locked into hard dependencies – reported a 10% higher return on AI investment in 2025.
The full study, including recommendations for technology leaders on redesigning structures that govern speed, control and investment, can be found at: https://www.ibm.com/thought-leadership/institute-business-value/en-us/c-suite-study/cxo
The study also features executive perspectives on how technology leaders are adapting to the complexities of scaling AI across the enterprise. See quote addendum below.
*Study Methodology
The IBM Institute for Business Value, in cooperation with Oxford Economics, surveyed 2,000 senior executives responsible for their organization's IT, technology, or AI-related decision-making across 33 geographies and 19 industries from January to April 2026. The survey was designed to gather insights on how organizations are managing the financial, operational, and governance challenges associated with scaling AI. Additional analysis was conducted to identify organizations that have built the structural capabilities to scale AI effectively by segmenting organizations based on preparedness and efficiency and assessing governance maturity.
The IBM Institute for Business Value, IBM's thought leadership think tank, combines
global research and performance data with expertise from industry thinkers and leading academics to deliver insights that make business leaders smarter. For more world-class thought leadership, visit: www.ibm.com/ibv. To receive more insights, subscribe to the IdeaWatch newsletter: https://ibm.co/ibv-ideawatch.
About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity, and service. Visit www.ibm.com for more information.
Media Contact
Marisa Conway
IBM Corporate Communications
conwaym@us.ibm.com
Executive Perspectives:
"AI has both a light side and a dark side. While most focus on the opportunities, it also introduces new vulnerabilities, and many organizations are more exposed than they realize." – Victoria Medina, Chief Technology and Data Officer, Allianz Spain, Spain
"We design modular architectures so components can evolve as technology advances, without breaking the overall system. That approach allows us to absorb rapid innovation while supporting products with decades-long lifecycles." – Boris Alexandre, Head of ARP Programme, Airbus, Canada
"It's like flying a plane at 10,000 feet, being told to climb to 12,000, replace both engines mid-flight and ensure zero turbulence. No one would choose to pilot that plane – but that's exactly what companies are doing today." – Afonso Eça, Executive Board Member, Banco BPI, Spain
"My role isn't to generate every transformative idea. It's to build the foundation that allows smarter people across the organization to bring those ideas to life." – Chad Jones, CIO, Baylor Scott & White Health, United States
"The goal isn't to eliminate shadow IT—it's to create visibility and a partnership, so teams can get help when they need it without slowing down." – Chris Pesola, CIO, Roush, United States
"We don't know who's going to win or lose over the next five years. So we're keeping AI models plug-and-play, ready to adapt if the landscape shifts." – Dalton Gouws, Group IT Director and Board Member, VWG UK Ltd, United Kingdom
- Most surveyed technology leaders are accountable for systems they don't fully control
- Only 11% of respondents say they're completely prepared for the scale of AI agent deployment
- Organizations that design control into their AI systems achieve significantly stronger performance outcomes.
ARMONK, N.Y., June 8, 2026 /PRNewswire/ -- A new IBM (NYSE: IBM) Institute for Business Value study reveals that as AI moves from experimentation to enterprise-wide deployment, two-thirds of surveyed CIOs and CTOs report being held accountable for AI systems they do not fully control, while governance struggles to keep pace at scale.
The global study* of 2,000 C-level technology executives (tech CxOs) finds that the lack of visibility is widespread. The majority of surveyed executives (70%) say teams across the business are deploying technology faster than IT can track.
At the same time, technology leaders face growing pressure to scale AI faster, even as many lack the structures to support it. By 2027, surveyed tech CxOs anticipate a 38% increase in the number of AI agents deployed. While 80% of respondents report CEO-driven AI transformation mandates, only 11% believe they are fully ready for the scale of AI agent deployment expected in the next year. Governance is also falling behind, with 77% of organizations surveyed reporting AI adoption is already outpacing current governance capabilities.
"For CIOs and CTOs, the challenge now is scaling AI systems that operate continuously and autonomously, often within governance models and architectures designed for a far slower, more predictable environment," said Matt Lyteson, CIO, IBM. "It is no longer just about deploying AI faster. It's redesigning how organizations control, govern and invest in it and embedding control and visibility from the start, so they can scale with confidence."
As AI scales, operational and security risks are growing
- Analysis shows that in organizations relying on manual governance, incident risk increases as AI adoption scales, whereas those that embed control directly into their AI systems experience 25% fewer incidents.
- Most (59%) of tech CxOs surveyed cite security and compliance concerns as top barriers to scaling AI agents.
- Surveyed organizations experienced an average of 54 AI agent incidents last year, in which an unintended and/or harmful occurrence required human correction.
- According to respondents, 17% of those AI agent incidents reported were high severity, requiring more than four hours to contain:
- 37% resulted in data exposure or security breaches
- 33% caused cascading system failures
- 17% triggered compliance issues
Organizations that redesign AI control and investment see stronger outcomes
- AI spend is projected to grow from just under 15% of IT budgets in 2025 to nearly 25% by 2027 – a 71% increase in two years, raising the stakes for CIOs and CTOs.
- Yet, 84% of tech CxOs have not fully operationalized AI financial management, and 85% still lack full visibility into real-time AI spend.
- Analysis finds that organizations that build control into their AI systems:
- deploy 16x more AI agents than those relying on manual governance
- deliver 18% higher operating margins
- spend 4x less of their AI budget
- Analysis shows organizations with strong financial discipline:
- deploy 2.4x more AI agents with no higher AI/IT budget
- are 3x more likely to say they are fully prepared for AI scale
- Surveyed organizations that designed for adaptability early – keeping workloads portable and models replaceable rather than locked into hard dependencies – reported a 10% higher return on AI investment in 2025.
- deploy 2.4x more AI agents with no higher AI/IT budget
- are 3x more likely to say they are fully prepared for AI scale
The full study, including recommendations for technology leaders on redesigning structures that govern speed, control and investment, can be found at: https://www.ibm.com/thought-leadership/institute-business-value/en-us/c-suite-study/cxo
The study also features executive perspectives on how technology leaders are adapting to the complexities of scaling AI across the enterprise. See quote addendum below.
*Study Methodology
The IBM Institute for Business Value, in cooperation with Oxford Economics, surveyed 2,000 senior executives responsible for their organization's IT, technology, or AI-related decision-making across 33 geographies and 19 industries from January to April 2026. The survey was designed to gather insights on how organizations are managing the financial, operational, and governance challenges associated with scaling AI. Additional analysis was conducted to identify organizations that have built the structural capabilities to scale AI effectively by segmenting organizations based on preparedness and efficiency and assessing governance maturity.
The IBM Institute for Business Value, IBM's thought leadership think tank, combines
global research and performance data with expertise from industry thinkers and leading academics to deliver insights that make business leaders smarter. For more world-class thought leadership, visit: www.ibm.com/ibv. To receive more insights, subscribe to the IdeaWatch newsletter: https://ibm.co/ibv-ideawatch.
About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity, and service. Visit www.ibm.com for more information.
Media Contact
Marisa Conway
IBM Corporate Communications
conwaym@us.ibm.com
Executive Perspectives:
"AI has both a light side and a dark side. While most focus on the opportunities, it also introduces new vulnerabilities, and many organizations are more exposed than they realize." – Victoria Medina, Chief Technology and Data Officer, Allianz Spain, Spain
"We design modular architectures so components can evolve as technology advances, without breaking the overall system. That approach allows us to absorb rapid innovation while supporting products with decades-long lifecycles." – Boris Alexandre, Head of ARP Programme, Airbus, Canada
"It's like flying a plane at 10,000 feet, being told to climb to 12,000, replace both engines mid-flight and ensure zero turbulence. No one would choose to pilot that plane – but that's exactly what companies are doing today." – Afonso Eça, Executive Board Member, Banco BPI, Spain
"My role isn't to generate every transformative idea. It's to build the foundation that allows smarter people across the organization to bring those ideas to life." – Chad Jones, CIO, Baylor Scott & White Health, United States
"The goal isn't to eliminate shadow IT—it's to create visibility and a partnership, so teams can get help when they need it without slowing down." – Chris Pesola, CIO, Roush, United States
"We don't know who's going to win or lose over the next five years. So we're keeping AI models plug-and-play, ready to adapt if the landscape shifts." – Dalton Gouws, Group IT Director and Board Member, VWG UK Ltd, United Kingdom
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
New IBM Study Finds CIOs and CTOs Face Growing AI Control Gap as Enterprise Deployment Scales
New IBM Study Finds CIOs and CTOs Face Growing AI Control Gap as Enterprise Deployment Scales
