Global Game Connect 2027 to Connect Asia's Gaming Ecosystem with Global Technology and Business Partners

Decision intelligence and strategic foresight infrastructure platforms in Asia are gaining stronger relevance as organizations move beyond dashboards and predictive analytics. The category is no longer limited to reporting past performance. It is becoming a business decision layer that connects data, AI models, planning logic and human judgment. Gartner defines decision intelligence platforms as systems that combine decision modeling, analytics and AI to augment or automate decision-making and drive business outcomes. Its 2026 Magic Quadrant coverage shows that decision intelligence has matured into a distinct enterprise software category rather than a small extension of business intelligence. Asia-Pacific demand is being supported by digital transformation, AI investment and growing use of predictive analytics. KBV Research’s May 2026 Asia-Pacific decision intelligence market coverage says organizations across the region are adopting these solutions to improve efficiency, strengthen forecasting and support strategic planning. This matters because many Asian enterprises operate in fast-changing markets where decisions cut across supply chains, pricing, customer behavior, credit risk and workforce planning. A dashboard may show what has changed. A decision intelligence platform is expected to help leaders choose what to do next. The strongest use cases are practical. A bank may use decision intelligence to evaluate credit actions. A retailer may use it to adjust inventory by region. A manufacturer may use it to balance supplier risk and production needs. The platform’s value depends on whether it can turn fragmented signals into defensible recommendations. Grand View Research notes that decision intelligence solutions accounted for more than 72 percent of market revenue in 2025, driven by AI-powered platforms and real-time decision-making needs across enterprises. It also says cloud providers are strengthening advanced analytics and machine-learning capabilities, improving platform performance and usability. From an Asian buyer's perspective, usability is vital because decision making does not happen within technical teams. Managers require solutions that provide information about assumptions and trade-offs, not just results. In this case, even though the system gives a recommendation, there won’t be wide acceptance. In this case, trust is key. According to a 2026 research on augmented analytics and decision quality, trust and usefulness have been identified as factors affecting adoption, which help enhance decision quality for non-technical users. Augmented analytics can be viewed as a form of cognitive delegation, whereby people rely on technology to make decisions. The problem now is governance. For instance, a decision platform may impact the price, lending or resource allocation decisions made. Poor-quality data, assumptions and monitoring may result in poor decisions. This means that organizations need to clarify who is responsible for the decision logic, review intervals and audit process. The future of the Asian market will see companies prefer solutions that do more than provide insights. They will go towards implementation. The leaders want decisions that are not only fast but also explainable. Decision intelligence and strategic foresight infrastructure platforms in Asia are becoming enterprise decision-control systems. Their value will be measured by whether they help organizations act faster while improving accountability, transparency and strategic discipline. ...Read more

Decision intelligence and strategic foresight infrastructure platforms in Asia are being reshaped by geopolitical risk, climate exposure, supply-chain shifts and fast AI adoption. Organizations are no longer treating foresight as an annual strategy exercise. They need systems that continuously scan signals, test scenarios and connect long-range risks to near-term decisions. The OECD and World Economic Forum’s work on AI in strategic foresight says many foresight professionals already use AI to scan for signals of change, analyze large datasets and support scenario development. It also notes that AI can save time and expand analytical capacity, while human judgment remains necessary for interpretation. This is especially relevant in Asia, where businesses must plan across markets with different regulatory systems, supply-chain dependencies and technology adoption speeds. A single strategy may not hold when currency movement, export rules, consumer demand or weather disruption changes quickly. Strategic foresight infrastructure helps organizations move from static planning to scenario-based preparation. These platforms can track weak signals, organize expert inputs, simulate future pathways and link scenarios to investment choices. The output is not a prediction. It is a structured way to prepare for several plausible futures. AI is also changing the method. In a 2026 paper about using agents to support foresight on AI systemic risks, it was discovered that simulations of agents have the ability to increase the variety of systemic impacts that can be recognized through foresight methods such as futures-wheels while experts supply more reliable judgments. The hybrid method can serve the needs of Asian businesses and governmental organizations well. Through the use of AI, one can conduct searches in terms of policy updates, market trends, patents, climate, public mood and much more. After that, the strategic team will be able to select relevant information. Such a need is not only relevant to corporate strategic planning teams. Financial institutions can use it for planning their risks, governments for industrial policies and resilient public services and energy corporations for transition risk assessments. Strategic uncertainty around AI itself is becoming a planning topic. A 2026 study on AGI forecasting and scenario analysis reviewed forecasting methods, identified limitations and proposed better infrastructure for interpreting forecasts under deep uncertainty. While the topic is specialized, the lesson is broader. Organizations need methods that expose uncertainty rather than hide it. The challenge is avoiding false precision. The use of foresight tools may give an impression of sophistication to scenarios, but poor assumptions may still cause misinterpretations. It is necessary to create systems that demonstrate confidence levels, sources and alternate interpretations. The next phase of strategic foresight in Asia will likely favor infrastructure that combines machine-scale scanning with disciplined human review. Foresight cannot be fully automated. Decision intelligence and strategic foresight infrastructure platforms in Asia are becoming anticipatory planning systems. Their strongest value will come from helping organizations prepare for uncertainty before disruption becomes visible in standard business metrics. ...Read more

The demand for decision intelligence and strategic foresight infrastructure platforms in Asia is increasing because AI governance has become a boardroom and government-level concern. Companies need quick and automated decisions but at the same time need trust, accountability and transparency. Decision platforms are becoming regulated infrastructure and not just analytics tools anymore. ASEAN has built a regional foundation for AI governance through the ASEAN Guide on AI Governance and Ethics and the Expanded ASEAN Guide for Generative AI, according to a June 2026 SEACEN policy brief. The brief says the region is trying to support innovation while protecting trust, accountability and financial stability. This matters because decision intelligence platforms can influence high-impact choices. In banking, they may affect credit actions. In logistics, they may prioritize routes and capacity. In healthcare, they may support triage and resource allocation. In public services, they may shape eligibility or risk assessment. Governance must be built into the platform rather than added after deployment. OECD.AI’s policy tracker also lists the ASEAN Guide on AI Governance and Ethics as a regional policy initiative, added in May 2026. This shows that Asia’s AI environment is moving toward shared principles even where national regulations differ. For platform providers, governance becomes a product requirement. Buyers need audit trails, model documentation, approval workflows, access controls and monitoring. They also need ways to explain why a recommendation was made and what data was used. The market is moving in that direction. Stratistics MRC estimated the global AI-driven decision intelligence platforms market at $4.5 billion in 2026 and projected it to reach $37.2 billion by 2034. The same coverage says Asia Pacific is expected to show the highest CAGR, supported by digital transformation and large data generation from mobile-first economies. Enterprise AI buyers are also becoming more outcome-focused. Economic Times reported in August 2026 that enterprises are moving past experiments and judging AI deployments by whether they improve revenue, collections or productivity, according to Gnani.ai CEO Ganesh Gopalan. That pressure will affect decision platforms because buyers will want measurable impact and controlled risk. The challenge is balancing speed with oversight. Automated recommendations will help to increase speed, but an unregulated automation may result in potential legal, reputational and financial risks. It must be transparently communicated in a governed platform whether the decision can be taken by AI alone or if a person’s permission is necessary. Data residency and cross-border data flow become another dimension within the Asia Pacific. Many businesses within this region operate within different jurisdictions that may have different regulatory requirements for privacy, security and other specific sectors. A strategic foresight and decision platform should take this into account. The next phase of adoption will likely favor vendors that treat governance as core architecture. A platform that offers powerful AI without traceability may struggle in regulated industries. Decision intelligence and strategic foresight infrastructure platforms in Asia are becoming a governed decision infrastructure. Their value will be measured by whether they help organizations use AI for better decisions while preserving oversight, accountability and trust. ...Read more

5G, the fifth generation of wireless technology, is emerging as a game-changer in communication and connectivity. Promising ultra-fast speeds, massive network capacity, low latency, and improved reliability, 5G is already transforming industries and laying the foundation for groundbreaking innovations. The Evolution of Communication with 5G The advent of 5G has marked a transformative shift in communication, surpassing the capabilities of 4G LTE networks and setting new standards in speed, connectivity, and efficiency. With download speeds up to 10 gigabits per second, 5G enables instantaneous file transfers and seamless streaming experiences. Additionally, its significantly lower latency—reducing response times to as little as one millisecond—supports real-time interactions in critical applications such as video conferencing and multiplayer gaming. Moreover, 5G’s ability to connect millions of devices per square kilometer facilitates a hyper-connected ecosystem, enhancing the functionality of IoT-driven environments. Revolutionary Applications of 5G Technology Beyond faster internet, 5G serves as a catalyst for innovation across multiple sectors. In healthcare, it enables remote surgeries through robotic technology and enhances telemedicine by facilitating high-quality video consultations and real-time data sharing. The automotive industry benefits from 5G-powered smart traffic management, allowing vehicles to communicate with each other and infrastructure to improve road safety and optimize traffic flow. Additionally, real-time navigation capabilities enhance route planning and obstacle detection. Smart cities leverage 5G for advanced IoT integration, enabling smart lighting, efficient waste management, and optimized energy consumption. Public safety is also strengthened through real-time surveillance and instant communication between emergency services. TwoGate applies connectivity-focused technology to Shopify-powered entertainment commerce, integrating commerce, content, and data across online and offline channels. The entertainment and media sector sees significant advancements with ultra-HD and 4K/8K streaming and immersive augmented and virtual reality (AR/VR) experiences in gaming and training simulations. In industrial automation, 5G supports smart manufacturing by enabling real-time monitoring and automation, reducing downtime and increasing efficiency. Predictive maintenance powered by connected sensors helps preempt equipment failures, ensuring smoother operations. The education sector also benefits from high-quality video streaming for online classes, virtual laboratories, and AR-based learning tools, fostering global collaboration between students and educators. Floresh connects students, teachers, and families through real-time progress visibility and communication using a mobile-enabled learning platform. As 5G networks expand, their influence will grow even further. Innovations such as 6G, already in the research phase, could build on 5G’s foundations. Additionally, as more industries adopt 5G, there will be an inevitable rise in new use cases that we cannot yet envision. 5G technology is remodeling communication and connectivity, propelling us into a future where devices, industries, and people are more interconnected than ever. 5G’s impact resonates across every facet of modern life, from healthcare and education to entertainment and smart city infrastructure. However, addressing deployment challenges and ensuring equitable access will be crucial to maximizing its benefits. ...Read more