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April 10.2026
3 Minutes Read

How CIOs Can Drive Change to Bridge Digital Divide in Asia-Pacific

Young woman with glasses working on laptop, digital divide in Asia-Pacific.

A Path Towards Inclusive Connectivity in Asia-Pacific

The digital divide continues to be one of the most pressing challenges in the Asia-Pacific region, spanning from urban centers to remote villages. With nearly half of the region's population—amounting to approximately 2.3 billion people—still offline, addressing this gap is not merely a technological issue; it is a defining factor for economic and social equity. Recent advancements illuminate the need for extensive collaboration among governments, businesses, and NGOs to bridge this divide effectively.

Understanding the Core Issues: Access, Affordability, and Skills

Data from reports has shown that challenges related to accessibility, affordability, digital literacy, and trust remain significant barriers preventing widespread internet use. For instance, in countries like Laos, where only 26% of the population has internet access, the situation underscores a broader trend. High data costs can consume a substantial portion of disposable income, particularly in low-income households. Additionally, many remain unwilling to engage with online platforms due to a lack of understanding or trust regarding digital transactions.

Reports also indicate that digital literacy is another substantial barrier, particularly for marginalized sections of society and women. For example, in South Asia, studies have revealed a significant gap in mobile internet usage for productive purposes, with women often falling behind their male counterparts. Addressing these disparities is crucial for unlocking the potential benefits of digital inclusion.

Successful Strategies and Collaborative Efforts

Efforts to close the digital divide must focus on integrated strategies that leverage technology, finance, and community involvement. Public-private partnerships are emerging as effective models for implementing necessary infrastructure projects. Such partnerships can help finance the deployment of broadband services in underserved areas, ensuring that children don’t miss out on educational resources and small businesses can thrive online.

Initiatives such as smart subsidies, community Wi-Fi hubs, and targeted digital literacy programs are vital in providing equitable access and fostering an environment of trust and understanding in digital processes. These programs not only equip individuals with the necessary skills but also enhance their confidence in utilizing digital services.

Future Predictions: Connectivity as a Foundation for Growth

As forecasts suggest that the region’s internet penetration could rise to 65.8% by 2025, the pathway to achieving this goal hinges on comprehensive national broadband plans. Governments must prioritize addressing digital inequality through detailed strategies that encompass data collection, competition policies, and universal service goals. Without these measures, the disparity between connected and unconnected communities will only widen, stifling progress.

The urgency for action in light of the COVID-19 pandemic cannot be overstated. The health crisis has laid bare the essential need for digital connectivity, making it not just a luxury but a crucial lifeline for education, healthcare, and economic opportunities.

Engaging the CIOs: The Role of Technology Leaders

Chief Information Officers (CIOs) play a pivotal role in this digital transformation narrative. By advocating for and investing in meaningful digital inclusion efforts, CIOs can help lead their organizations toward innovative solutions that address the unique challenges faced by underserved communities. Furthermore, by partnering with local governments and NGOs, they can create inclusive strategies that ensure technology benefits all.

The call to action is clear: as digital stewards, CIOs must not only enhance their organizations' capabilities but also foster a larger societal impact. By integrating social responsibility into their digital strategies, they can contribute to building resilient communities and a fairer digital future.

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05.09.2026

How Retail CIOs Can Solve the Data Problem Affecting AI Success

Update Unlocking the Potential of Retail AI: The Data Challenge AheadThe retail landscape is evolving at a breakneck pace, driven by digitization and the rise of consumer expectations. In this scenario, AI is emerging as a game-changer that promises to redefine operational efficiency and customer engagement. However, the success of these technologies hinges on a critical component: data. Many retailers are waking up to the harsh reality that their AI initiatives, particularly in agentic commerce, are floundering due to uncoordinated and fragmented data.The Rise of Agentic CommerceAccording to Bain, agentic commerce may burgeon into a market valued at between $300 billion and $500 billion by 2030 in the U.S. This projection also highlights that AI-driven agents will handle a significant portion of customer transactions, thereby changing the dynamics of consumer interaction. Yet, as observed in Walmart’s experience with OpenAI's Instant Checkout, simply incorporating AI is not enough; a robust data foundation is paramount. Walmart’s in-chat purchases performed poorly — converting three times worse than their website transactions — illuminating the necessity for real-time data fluidity.The Data Disconnect: Why It MattersThe primary barrier plaguing many retail AI endeavors is a disjointed understanding of the customer journey. Retail systems have historically been designed with a linear shopping experience in mind, failing to accommodate the complex, multi-device interactions that characterize modern consumer behavior. Consider a shopper researching on their mobile during a commute, transitioning their research to a laptop, and concluding the purchase in-store days later. Each touchpoint should seamlessly connect, yet retailers often treat separate sessions in isolation, leading to recommendations that miss the mark and promotions that clash with loyalty profiles.Strategies for Future SuccessRetail CIOs must pivot their strategies to create a cohesive data ecosystem. This entails transitioning away from legacy systems toward more agile architectures, such as flexible data fabrics that ensure integrated access to context-rich, operational data across all platforms. According to KPMG, employing Master Data Management (MDM) solutions can consolidate silos into a unified source of truth, enabling real-time analytics and personalization efforts that resonate with consumers on a deeper level.Addressing Data Latecomers and FragmentationA prevalent trend is the challenge presented by retaining qualified data talent while dealing with infrastructure limitations. Retailers must recognize that AI investments will magnify existing data issues rather than solve them. With half of technology leaders acknowledging their organizations' inadequacies in data readiness for AI deployment, the urgency for retail leaders is palpable. Investing in both personnel training and modern IT infrastructure will empower companies to overcome these hurdles.Consider the Customer: A New PerspectiveUltimately, reinforcing customer-centric strategies is crucial. Companies should focus on continuous identity resolution across channels, ensuring every point of contact delivers personalized and consistent experiences. The ‘context intelligence,’ a term coined by Reltio, captures this essential capability. It underscores the importance of connecting customer, product, and operational data into a coherent, real-time foundation that can support better decision-making.Conclusion: The Future AwaitsAs the future of retail hangs in the balance, transforming into a landscape enabled by intelligent data foundations is imperative. Retailers who fail to unify their data will not only lag behind but may find their AI efforts hindered by the fragmented state of their information architecture. As Ken Eynon emphasizes: "The checkout button was never the hard part. The context behind it is where the next decade of retail will be won." It is no longer sufficient for CIOs to simply adopt AI; a well-thought-out data strategy must be at the core of their operational blueprint.

05.08.2026

Unlocking Business Innovation: From AI Investment to Impact

Update Transforming AI Investments into Business Innovation The rapid evolution of artificial intelligence (AI) continues to pose both opportunities and challenges for Chief Information Officers (CIOs) across various sectors. As organizations invest significant resources into AI, many find themselves struggling to translate these investments into tangible business impacts. Jeff Baker, Technology Managed Services Lead at PwC, emphasizes that transitioning from mere investment to genuine innovation requires a strategic shift in mindset and operation. Understanding the Shift from Experimentation to Execution Baker points out that the current paradigm around AI often remains confined to isolated experiments, which tend to yield minimal ROI. The real challenge lies in understanding how these investments can be effectively leveraged to achieve business results. He urges CIOs to break away from viewing AI as a technological novelty and instead focus on how it can foster collaborative, impactful outcomes. In particular, there is a need to facilitate teamwork between AI engineers and business units. When technology teams partner with respective business areas, they can discover innovative ways to deploy AI solutions that are not only cutting-edge but also aligned with organizational goals. Structuring AI for Success: The Importance of Data and Collaboration Baker categorizes AI applications into two primary areas: citizen-led AI, which empowers individual employees with accessible tools to enhance efficiency, and more complex models that demand a cohesive business strategy. The latter tends to yield more significant business impact but necessitates deeper collaboration and robust data integrity. Organizations must ensure their data is clean and well-structured to maximize AI effectiveness. Security, data management, and continuous oversight remain pivotal points that CIOs should prioritize. Ensuring that AI systems are built on quality data will drive better decision-making and operational efficiency. Rethinking AI Roles and Governance As the landscape of AI-driven services changes, Baker underscores the emergence of 'Managed Services 2.0', which takes an AI-first approach to improve overarching business outcomes rather than just managing service levels. This new model ties performance directly to business success, challenging traditional delivery frameworks that limit AI's potential. CIOs are encouraged to adopt a disciplined governance model—one that captures the breadth of AI initiatives as part of a broader portfolio. This model demands clear accountability and regular performance evaluations to ensure that AI efforts are not just another set of experiments but integral to the strategic direction of the organization. Moving Towards Concrete Outcomes: Bridging the AI Value Gap The road from investment to measurable results can often prove arduous. Many firms encounter “pilot fatigue,” where the abundance of uncoordinated AI initiatives clouds the visibility into their effectiveness. To counter this, organizations need to establish measurable benchmarks and clearly articulated success metrics right from the outset of AI deployment, bridging the gap between strategic intent and practical outcomes. Emphasizing actionable insights, Baker notes that aligning AI efforts with business objectives through thoughtful design and governance will lead to a more reliable path toward innovation. As firms increasingly integrate AI into their operational frameworks, those that successfully manage this transition will emerge as leaders in their respective industries. Conclusion: The Future of AI in Business Innovation The future of AI in enterprise rests firmly on the shoulders of its leaders. By marrying technology with strategic business acumen and discipline in governance, CIOs can unlock the full potential of their AI investments. As the technological landscape continues to evolve, focusing on meaningful outcomes that align with organizational strategies will be the key to achieving not only efficiency but also sustained growth in a competitive market.

05.06.2026

Exploring Agentic AI for Marketing: A Strategic Advantage for CIOs

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