Digital. Growth. Asia.

Choosing the Right AI Operating Model for China

Multinationals operating in China need a deliberate AI operating model that balances headquarters control with China’s need for speed, local ecosystem fit, and regulatory practicality. Rather than treating AI governance as a binary global-versus-local choice, companies should classify use cases by business need, data sensitivity, technology requirements, and scale potential, then assign the right decision rights, budget ownership, vendor rules, and governance pathway for each category.

Agentic AI for Manufacturing Root Cause Analysis in China

A practical guide to applying agentic AI for manufacturing RCA in China, covering value lenses, case benchmarks, pilot design, readiness scoring, and compliance considerations.

China AI Playbook: Bottlenecks, Enablers & Manager Decisions to Scale

China’s competitive bar for enterprise AI has moved from “can we pilot this?” to “can we ship outcomes safely, at speed, and keep improving them?” In China, local competitors are already doing this. They are embedding AI into core workflows, iterating quickly, and converting adoption into cycle-time gains, productivity improvements, and lower unit costs. The signals are clear: if you move at pilot speed while competitors ship at production speed, you fall behind in cost, responsiveness, and talent attraction.

AGP China Robotics Report - Perception Systems (Sensors & Computer Vision)

The rapid development of perception systems, incorporating advanced sensors and computer vision, has reshaped the robotics industry landscape, establishing itself as a key technological pillar. These systems enhance a robot's ability to perceive and interpret its environment, enabling functionalities that were previously unattainable. The technological advancements in perception systems have been profound. Innovations such as high-resolution 3D cameras and AI-driven vision processing have propelled the capabilities of robots in areas such as autonomous navigation, object recognition, and spatial awareness. These technologies empower robots to operate with greater autonomy and adaptability, critical for applications ranging from manufacturing to healthcare. Product differentiation within the robotics industry is becoming increasingly reliant on the sophistication of perception systems. Companies are leveraging these technologies to create distinctive features that set their products a

AGP China Robotics Report - Disaster Response & Search and Rescue Robots

The advancement of disaster response and search and rescue (SAR) robotics represents a transformative shift in emergency management strategies worldwide. As the frequency and complexity of natural disasters escalate, the integration of sophisticated robotic technologies into response efforts has become indispensable. This evolution underscores the critical role that SAR robotics play in enhancing both national and international emergency preparedness. Technological breakthroughs, particularly in artificial intelligence (AI), autonomous navigation, and sensor integration, have significantly augmented the capabilities of SAR robots. These advancements allow robots to efficiently navigate treacherous terrains, assess hazardous environments, and locate survivors with high precision. Moreover, the development of specialized drones, such as the SplashDrone 4, which features advanced thermal imaging and rapid deployment capabilities, exemplifies how innovative technologies are enhancing situ

AGP China Robotics Report - Collaborative Robotics (Cobots)

The landscape of collaborative robotics (cobots) is rapidly evolving, with China positioned at the forefront of this transformation. Driven by strategic initiatives such as "Made in China 2025," cobots are integral to modernizing China's manufacturing capabilities and addressing labor shortages through advanced automation solutions. These efforts highlight the nation's commitment to becoming a leader in the global robotics industry. Technological advancements have been crucial in accelerating the adoption of cobots. Innovations in artificial intelligence, machine learning, and sensor technologies have significantly enhanced cobots' functionality, enabling seamless interaction with human workers and adaptability across various industrial environments. This progress has facilitated significant product differentiation, allowing manufacturers to customize cobot applications to meet specific industry demands, thereby enhancing their utility and market appeal. The development of a comprehe

Why Quality Assurance Is Now a CEO-Level Concern in APAC

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IoT 100 Index.

Showcasing the leading 100 industrial IoT companies

We systematically track and showcase the most influential companies in the global IoT ecosystem. From among over 3,000 Industrial IoT solution providers, we created the IoT 100 Index and the IoT Top 10 Domain Indices to put a spotlight on the companies that are most influential in moving industrial-digital technology forward. Our ranking criteria takes into consideration the visibility and rate of growth of companies in the IoT ecosystem, as well as their innovation capabilities and thought leadership impact.

Challengers

Accelerators

Followers

Influencers

Growth

Visibility

Challenger

Telefonica

Telefónica is a company that is aware of the new challenges posed by today’s society. This is why we offer the means to facilitate communication between people, providing them with the most secure and state of the art technology in order for them to live better, and for them to achieve whatever they resolve. An innovative and attentive spirit with an immense technological potential that multiplies the ability to choose of its more than 327 million clients in 21 countries. Telefónica is a 100% listed company with more than one and a half million shareholders, traded in several of the most important stock markets around the world.

IIoT Spotlight Podcast.

The Industrial IoT Spotlight Podcast shines a light on Industrial IoT solutions that are impacting businesses today.

Our mission is to provide insight into the adoption and deployment of Industrial IoT solutions, from cloud to machine learning to cybersecurity. Every episode, we interview one expert about their company's technical and business model innovations.

Ep. 227

Damien Wong, Senior Vice President APAC, Tricentis

Tuesday, October 28, 2025

In this episode we spoke with Damien Wong, Senior Vice President for Asia Pacific at Tricentis, about how Agentic AI is redefining software quality assurance (QA) for enterprises navigating digital transformation. Damien shared his journey through 30 years in enterprise technology and explained how Tricentis is pioneering a future where autonomous testing drives both speed and reliability in software delivery.We explored why QA is fast becoming a board-level priority, how AI is removing the human bottlenecks in testing, and why quality is now existential in sectors like finance, healthcare, and government.Key Insights: • From manual to agentic: QA has evolved from manual testing to script-based automation, to codeless model-based testing, and now to agentic test automation. The equivalent of moving from driving a car to a fully autonomous vehicle.• AI-accelerated quality: Tricentis’ agentic automation enables systems to autonomously create, execute, and adapt tests, dramatically accelerating release cycles and reducing risk from untested code.• Quality as a board concern: In Tricentis’ Quality Transformation Report, two-thirds of organizations admitted to shipping untested code—making QA failures a C-suite and reputational risk rather than an IT issue.• Compliance through transparency: With acquisitions like SeaLights, Tricentis helps enterprises prove that every code change has been tested—critical for regulated sectors and global compliance.• Bring-your-own-AI flexibility: Tricentis’ support for the Model Context Protocol (MCP) allows companies to plug in their own private AI models, ensuring data security and regulatory control while leveraging AI capabilities.• Empowering, not replacing, engineers: AI-driven testing shifts QA teams from repetitive test creation to strategic oversight, while tools like NeoLoad with natural language prompts make performance testing accessible to non-technical users.• Industry impact: From Zespri’s self-healing ERP testing to preventing outages like Haribo’s global gummy bear disruption, intelligent QA ensures business continuity and customer trust.• Future outlook: With 90% of code expected to be AI-generated within a year, the ability to test at AI speed will define competitive advantage in enterprise software delivery. IoT ONE database: https://www.iotone.com/case-studies The Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com

Ep. 227

Why Quality Assurance Is Now a CEO-Level Concern in APAC

Damien Wong, Senior Vice President APAC, Tricentis

Neuromorphic for LLMs on the Edge

Ep. 226

Sean Hehir, CEO, BrainChip

How are AI and IoT solving manufacturing labor shortages?

Ep. 225

Mike Rohrmoser, VP of Product Management for OEM Solutions, Digi

Spectrum, Payloads, and the Future of Satellite AIoT

Ep. 224

Ian Itz, Executive Director, Iridium

Smarter, Greener Cities: Richard Savoie on the Future of Sustainable Delivery

Ep. 223

Richard Savoie, CEO and Co-founder, Adiona Tech

Young Innovators, Big Impact: Sahitya Senapathy’s AI Leap for Factories

Ep. 222

Sahitya Senapathy, CEO and Founder, Endeavor