Media OutReach
AI adoption across Finance functions achieves standout levels of ROI with usage only set to increase
71% of organisations are using AI in their finance operations
- 57% of leaders say ROI is exceeding their expectations, compared to 29% of others.
- Financial reporting is the most common usage area – but this is widening out to include treasury management, risk management and tax
- Nearly three-quarters of leaders have developed principles and guidelines on the responsible use of AI
HONG KONG SAR – Media OutReach Newswire – 4 December 2024 – New research from KPMG International reveals the dramatic extent to which artificial intelligence (AI) is being deployed in organisations’ finance operations – with compelling levels of ROI and a wide range of benefits including better data and decisions, faster insights and reporting, lower costs, and greater operational effectiveness. The KPMG report reveals that organisations are extracting the most value from machine learning, deep learning, and generative AI and report the ROI from these technologies is either meeting or exceeding expectations.
The research, published in the KPMG global AI in finance report, covered 2,900 organisations across 23 countries and built upon research conducted earlier this year across 1,800 organisations in 10 countries. A maturity framework was created to assess respondents into three AI-readiness groups: 24% of organisations qualify as Leaders, while 58% are middle ground Implementers, and 18% are Beginners. KPMG has also developed an AI maturity benchmarking tool designed to help organisations assess their progress in the AI transformation journey.
AI deployment grows, Gen AI a key future priority
71% organisations are using AI to some degree in their financial operations. Currently, 41% of them are using AI to a moderate or large degree – and this is predicted to rise to 83% over the next three years. In just six months since the first wave of research, the spread of AI is already visible. Whereas in April 2024, 40% of organisations in the original 10 countries were using traditional AI in their finance operations to a moderate or large degree, this has increased to 45 percent.
The use of Gen AI has also grown. The percentage of companies with no intention to use Gen AI has fallen from 6% to just 1% now. Gen AI has become a top priority for the future, with 95% of leaders and 39% of others expecting to selectively or widely adopt it within financial reporting in the next three years.
Adoption everywhere
KPMG’s research also underlines the extent to which AI is being utilised around the world. While companies in the US, Germany and Japan are well ahead in AI usage, other major economies, such as Italy and Spain, are behind. The same dichotomy is evident in emerging markets, with China and India ahead in AI usage, and Saudi Arabia and the African countries further behind.
Adam Scriven, Head of Finance Transformation, Hong Kong at KPMG China, says: “Building AI capability has become an imperative for CFOs and Finance functions in embracing the digital age. It’s critical to recognise that AI is a capability, and not a technology product. We all have to start the AI journey, learn and build better capabilities. KPMG is helping clients establish the right data and systems, modelling and analytics backbone in order to harness the power of AI. KPMG is also co-creating AI solutions with clients to help build capability and go on the journey together.”
Alan Yau, Audit Innovation Leader at KPMG China, says: “AI in financial reporting is transforming the industry with enhanced accuracy, efficiency, and real-time insights. As a mega trend, AI enables predictive analytics and data-driven decisions. Upskilling and retaining talent are crucial in this evolution. Organisations must prioritise continuous learning to equip their workforce with AI skills, fostering innovation and adaptability, in order to drive sustainable growth and maintain a competitive edge in the market.”
AI usage opening out across finance
Companies are turning to AI in every area of corporate finance. Financial reporting is the most widespread usage area, with nearly two-thirds of companies piloting or using AI for reporting, accounting and financial planning. But other areas are following suit: nearly half of companies are now piloting or using AI for treasury and risk management. This can generate better debt management, cash-flow forecasting, fraud detection, credit risk assessment, and scenario analysis in the treasury and risk management functions. Tax management, however, sits slightly further behind. Less than one-third of companies piloting or using AI in this area, although about half are in the planning stage.
Leaders moving ahead
Leaders are showing the way, with more than three times as many leaders (87%) as others (27%) using AI in finance to a moderate or large degree. Leaders are moving fast and have on average developed six use cases for AI, almost double the number amongst others. Top areas for usage are research and data analysis (85%), fraud detection and prevention (81%), predictive analysis and planning (78%), and using Gen AI for composing documents and other content (75%).
Common barriers that all companies encounter include data security vulnerabilities (57%), limited AI skills and knowledge (53%), gathering consistent data (48%) and costs (45%) – but leaders are better able to navigate these through the steps they have taken. Their chief barriers become more advanced ones, such as integrating AI solutions with existing tools and overcoming any residual staff resistance.
Reaping the benefits and achieving ROI
As the use of AI in finance grows, the dividends multiply. When starting out, finance teams report two to three benefits. By the time they are leaders, that number is seven.
Just as the benefits from AI can rise with its usage, so does the potential return on investment. As a result, a remarkable 57% of leaders say ROI is not just meeting but exceeding their expectations. Even amongst less advanced adopters, nearly one third (29%) report the same.
Stanley Sum, Head of Digital Enablement at KPMG China, says: “AI is reshaping the finance function, paving the way for both potential opportunities and challenges. Hence, robust AI governance is not merely conducive to meeting regulatory demands, but it stands as an essential component. KPMG assists its clients in their journey to manage risks, promoting transparency and the ethical usage of AI in governance. By implementing mindful supervision now, we help safeguard the future of finance.”
Hashtag: #KPMGChina
The issuer is solely responsible for the content of this announcement.
About KPMG China
KPMG China has offices located in 31 cities with over 14,000 partners and staff, in Beijing, Changchun, Changsha, Chengdu, Chongqing, Dalian, Dongguan, Foshan, Fuzhou, Guangzhou, Haikou, Hangzhou, Hefei, Jinan, Nanjing, Nantong, Ningbo, Qingdao, Shanghai, Shenyang, Shenzhen, Suzhou, Taiyuan, Tianjin, Wuhan, Wuxi, Xiamen, Xi’an, Zhengzhou, Hong Kong SAR and Macau SAR. Working collaboratively across all these offices, KPMG China can deploy experienced professionals efficiently, wherever our client is located.
KPMG is a global organization of independent professional services firms providing Audit, Tax and Advisory services. KPMG is the brand under which the member firms of KPMG International Limited (“KPMG International”) operate and provide professional services. “KPMG” is used to refer to individual member firms within the KPMG organization or to one or more member firms collectively.
KPMG firms operate in 143 countries and territories with more than 265,000 partners and employees working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. Each KPMG member firm is responsible for its own obligations and liabilities.
KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.
In 1992, KPMG became the first international accounting network to be granted a joint venture licence in the Chinese Mainland. KPMG was also the first among the Big Four in the Chinese Mainland to convert from a joint venture to a special general partnership, as of 1 August 2012. Additionally, the Hong Kong firm can trace its origins to 1945. This early commitment to this market, together with an unwavering focus on quality, has been the foundation for accumulated industry experience, and is reflected in KPMG’s appointment for multidisciplinary services (including audit, tax and advisory) by some of China’s most prestigious companies.
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Media OutReach
ACE ROBOTICS Open-Sources Real-Time Generative World Model Kairos 3.0-4B
- A native world model built from the ground up for embodied intelligence, Kairos 3.0-4B delivers exceptional physics-consistent deep understanding and cross-embodiment generalization, enabling a single “brain” to drive robots of multiple form factors.
- Kairos 3.0-4B leverages a unified “multi-modal understanding-generation-prediction” architecture for physical-level deep understanding, long-horizon dynamic interaction, precise action control, and long-horizon interaction — 7-minute coherent interaction videos set a new industry benchmark.
- As a lightweight 4B-parameter model, Kairos 3.0-4B outperforms mainstream embodied world models while delivering industry-leading inference efficiency. It achieves real-time edge generation on the THOR platform with a1:1.5 ratio of generation time to video duration, leading performance across both cloud and edge environments.
- Kairos 3.0-4B achieves top-ranking accuracy across multiple authoritative benchmarks. Furthermore, leveraging model capabilities and inference tooling, its inference speed is 72 times faster than Cosmos 2.5, setting a new global performance record for embodied world models.
SHANGHAI, CHINA – Media OutReach Newswire – 13 March 2026 – ACE ROBOTICS announced the open-source release of Kairos 3.0-4B, the industry’s first native world model for embodied intelligence to realize unified “multi-modal understanding-generation-prediction” within a single architecture. As the technical cornerstone of the company’s “Human-Centric” ACE Embodied Intelligence R&D Paradigm, Kairos 3.0-4B is designed from the ground up for real-world robotic operation — integrating physical laws, human behavior, and real robot actions to deliver physics-consistent deep understanding of the real world.
The prevailing approach to embodied world models has largely involved retrofitting general-purpose large language or vision models with motion interfaces. Kairos 3.0-4B takes a fundamentally different path. Rather than appending motion capabilities onto existing model architectures, it is built from the architectural level around the fundamental physical and causal laws that govern real-world environments, constructing a unified world-understanding framework capable of cross-embodiment generalization. By embedding causal reasoning chains directly into its decision-making process, the model transcends behavioral imitation and achieves what ACE ROBOTICS defines as physical-level deep understanding — enabling robots to not only know what to do, but to understand why. Its core breakthrough lies in the deep integration of three categories of data: real robot interaction data, structured human behavioral data, and chain-of-thought reasoning data, effectively breaking down multi-source data barriers and significantly improving the reuse efficiency of real-world data.
A landmark achievement of this release is Kairos 3.0-4B’s real-time edge deployment capability. Deployed on the NVIDIA Jetson Thor T5000 platform at 517 TFLOPs, it is the world’s first embodied world model to achieve real-time generation on edge hardware — achieving a 1.5x faster-than-real-time generation speed on the THOR platform — and the first capable of directly driving physical robot bodies for real-world task execution through native edge deployment. The model issues full-body control commands spanning upper limbs, fingers, and lower limbs without intermediate control layers, enabling robots to move from “capable of performing” to genuinely “capable of working.”
Kairos 3.0-4B also delivers a breakthrough in long-horizon interaction. By combining its unified architecture with Agent-based hierarchical planning and a self-reflective iterative optimization mechanism, the model generates coherent future-state predictions up to 7 minutes in length while maintaining full scene coherence and physical fidelity throughout — setting a new industry benchmark for long-horizon embodied interaction and opening new pathways for embodied intelligence training and deployment.
On the A800 GPU benchmark, Kairos 3.0-4B’s inference speed surpasses NVIDIA Cosmos 2.5 by 72 times, setting a new global performance record for embodied world models. This performance is delivered with a lightweight footprint of just 4B parameters and 23.5GB of VRAM — a fraction of Cosmos 2.5’s 70.2GB requirement — demonstrating that efficiency and capability need not be in tension and fundamentally challenging the assumption that larger parameters are a prerequisite for superior performance. The model has also achieved top rankings across three authoritative global benchmarks: PAI-Bench-robot, co-developed by Georgia Tech and CMU; WorldModelBench-robot TI2V, introduced at CVPR 2025; and NVIDIA GEAR Lab’s DreamGen Bench, outperforming all evaluated models on physical consistency and instruction-following metrics.
Supporting seamless cross-embodiment deployment across single-arm, dual-arm, and dexterous hand configurations with no additional per-embodiment training required, Kairos 3.0-4B is compatible with major hardware platforms including Agilex PIPER, Unitree G1, and Galaxy G1. Kairos 3.0-4B is now available on Github (https://github.com/kairos-agi/kairos-sensenova) and Hugging Face (https://huggingface.co/kairos-agi/kairos-sensenova-common).
Hashtag: #ACEROBOTICS
https://www.linkedin.com/company/acerobotics/posts/?feedView=all&viewAsMember=true|
https://x.com/ace_robotics
The issuer is solely responsible for the content of this announcement.
About ACE ROBOTICS – Equipping robots with intelligent “brains” and engaging “souls”
ACE ROBOTICS is a pioneering robotics company dedicated to advancing the field of embodied intelligence. Founded by SenseTime co-founder Wang Xiaogang, the company has brought together a team of young, globally scarce AI scientists and industry experts to focus on embodied intelligence. Through breakthrough technological innovations and deep insights into embodied intelligence scenarios, we aim to empower robots with the ability to autonomously understand and explore the physical world, thereby accelerating their commercial implementation.
The company pioneered the ACE R&D paradigm and built a vision-based “environmental data engine, real-world cognition, embodied interaction generalization” technology chain. Using full spatiotemporal and multi-perspective environmental capture as its engine, along with Kairos 3.0 – China’s first open-source and commercially applicable world model – plus the Embodied Foundation Model as its technical backbone, ACE ROBOTICS addresses core industry challenges such as data scarcity, common sense gaps, poor generalization, and limited versatility. Simultaneously, the company unveiled its flagship A1 Embodied Super Brain Module, accelerating the large-scale commercial deployment of embodied intelligence across diverse scenarios.
ACE ROBOTICS is both a technology pioneer and an ecosystem builder. Through strategic cooperation with top hardware manufacturers, cloud service providers, and vertical scenario partners, we have broken through the “model-hardware-scenario” industrial deadlock, providing standardized and customized solutions that are driving the development of China’s embodied intelligence industry.
Media OutReach
OPPO and Google Partner to Redefine Productivity for Foldable Devices with Next-Gen AI Stylus Experience
Kai Tang, President of Software Engineering at OPPO, said: “OPPO’s close collaboration with partners like Google Cloud enables us to bring the latest and most advanced AI experiences to our users. Featuring powerful AI capabilities, we have evolved the traditional stylus into the innovative OPPO AI Pen, marking a significant leap in efficiency for the foldable smartphone experience.”
AI Chart and AI Image: Next-Level Productivity with OPPO AI Pen
The upcoming Find N6 will launch together with the OPPO AI Pen, featuring exclusive AI Chart and AI Image functions built with Google Cloud’s cutting-edge AI capabilities.
While taking notes or sketching ideas with a stylus helps capture inspiration quickly, translating handwritten drafts into polished, professional formats has always been a challenge. With AI Chart built with Gemini Pro, users can press the dedicated side button on the OPPO AI Pen and simply circle their handwritten notes to instantly generate a clean, editable digital table, allowing for faster information organization in meetings, planning sessions, and daily work.
Beyond text and charts, the AI Image feature is built with Nano Banana, and further expands creative possibilities by transforming simple doodles into refined artwork. Users can even provide specific text prompts to guide the AI, reimagining their drawings in any style, from classic oil painting textures to modern digital art.
Enhanced Cross-Ecosystem Sharing
OPPO is also collaborating with Google to bring AndroidTM Quick Share compatibility with Apple devices to Find N6. In the coming weeks, users will be able to send photos, videos, and files directly to Apple devices—with no additional apps required, advancing cross-ecosystem connection.
Next-Level Productivity on Find N6
These advanced productivity-enhancing features of ColorOS 16 will be fully integrated into the upcoming OPPO Find N6, delivering a high-performance and seamless experience from the very first touch. By combining OPPO’s advanced hardware with Google’s AI capabilities, Find N6 is set to turn the foldable device into a true mobile workstation, empowering users to create, collaborate, and communicate like never before.
Disclaimer: AI Chart is built with Gemini 2.5 Pro, while AI Image is built with Nano Banana (Gemini 2.5 Flash Image).
*Google, Android and Quick Share are trademarks of Google LLC.
Hashtag: #OPPO
The issuer is solely responsible for the content of this announcement.
Media OutReach
“Created for Ease”: ECOVACS Brand Campaign Honors Caregivers Across the APAC Region
Hashtag: #ECOVACS
The issuer is solely responsible for the content of this announcement.
About ECOVACS ROBOTICS
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