APAC CIOOutlook
About UsConferencePartner With Us
  • Technologies
    • Blockchain
      Data Intelligence and Management
      Digital Transformation
      FinTech
      Generative and Agentic AI
      Low Code No Code
      Mobile Application
      Networking
      Robotics
      Storage
      Wireless
  • Industries
    • Automotive
      Aviation
      Banking
      Construction
      E-Commerce
      Food and Beverages
      Healthcare
      Insurance
      Logistics
      Manufacturing
      Retail
      Supply Chain
      Travel and Hospitality
  • Platforms
    • Microsoft
      Salesforce
      SAP
  • Strategic Solutions
    • Business Intelligence
      Contact Center
      Corporate Finance
      CRM
      Cyber Security
      Data Center
      Enterprise Asset Management
      Enterprise Performance Management
      IT Infrastructure and Services
      Managed Services
      Procurement
      Unified Communication
      Workflow
  • Home
  • CXO Insights
  • Leadership Perspectives
  • Innovation Insights
  • Research
  • News
  • Whitepapers
  • CXO Awards
#

Apac CIOOutlook Weekly Brief

×

Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Apac CIOOutlook

Subscribe

loading

THANK YOU FOR SUBSCRIBING

  • Home
  • News

Emerging Technology Trends: Shaping the Future of Work and Life

The Internet of Things (IoT) is rapidly evolving, and its successful future relies on harnessing Advanced Application Programming Interfaces (APNs). 

By

Apac CIOOutlook | Tuesday, October 31, 2023

Advanced APNs are crucial for IoT's future, enhancing connectivity, security, and data management for widespread IoT applications, creating a more connected and efficient world.

FREMONT, CA: The Internet of Things (IoT) is rapidly evolving, and its successful future relies on harnessing Advanced Application Programming Interfaces (APNs). As the world becomes more interconnected, IoT devices play a crucial role in transforming industries, such as healthcare, agriculture, smart cities, and manufacturing. Advanced APNs serve as the backbone for these devices, enabling seamless communication, data exchange, and control. In this constantly expanding landscape, it is crucial to explore the latest advancements and trends in APNs to unlock the full potential of IoT.

Redefining the Role of Private APNs and Balancing Efficiency with Security

Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

In the past, private APNs within enterprise private networks (VPN) served as the foundation for IoT connectivity in businesses. These VPNs guarantee a secure and persistent connection for IoT devices, facilitating smooth communication between devices and their associated applications. However, with increasing demands, this approach is undergoing a significant evolution.

Mobile operators now employ a single APN for multiple enterprise clients, maintaining traffic segregation and providing one or multiple VPNs to each client. Automation is a key factor in this process. Traditional setups required time-consuming VPN establishment, sometimes stretching over months. In contrast, contemporary systems allow clients to autonomously configure their VPNs within minutes.

Additionally, using a single shared APN offers several advantages. Firstly, making changes no longer requires laborious updates to the APN on thousands of devices, which becomes especially complex when these devices are in remote locations. With a multitenancy private APN, updates are executed centrally by rerouting traffic to an alternative VPN destination.

Most enterprises seek IoT connectivity that matches the security and control of their local area networks (LANs) within their corporate infrastructure. The challenge arises when these devices operate on global mobile networks and need to integrate with enterprise clients' partners.

A potential solution involves using an IoT connectivity control service (IoT CCS) hosted in the cloud. These services expand the coverage of Private APNs to include the global partner networks of enterprise clients without compromising security. Furthermore, by integrating global mobile network operator partners and connectivity hubs into the IoT CCS ecosystem, businesses gain access to a secure, global, software-defined wide area network (SD-WAN) instead of being limited to a traditional Private APN.

Stepping into a Global Future

Establishing an IoT CCS comes with numerous advantages. The cloud's widespread availability allows for local distribution of IoT traffic, ensuring efficient routing and security regardless of the device's location. This global SD-WAN solution meets the requirements of international IoT providers, providing a strong foundation for incorporating partner companies into their SD-WAN configurations.

In the highly competitive IoT arena, mobile operators are under pressure to provide a unified, secure, and global SD-WAN service for IoT to each customer through a single agreement, along with consistent customer support. As globalisation continues, businesses are increasingly seeking IoT connectivity solutions that offer uniform service quality across international boundaries.

The traditional private APN, coupled with a single enterprise VPN, often proves insufficient. Many businesses have found that effectively segregating their IoT traffic requires dividing the traffic from a device into multiple VPN connections. For example, when considering global connectivity, specific traffic needs to exit locally while still being protected by firewalls. Conversely, sensitive data is transmitted securely through enterprise VPN tunnels to reach the IoT device suppliers and their partners. Achieving this level of flexibility and security is unattainable with a conventional mobile core infrastructure; it requires the functionality of SD-WAN within a multitenancy private APN.

Consistency in service delivery and control is essential, whether the traffic is directed through roaming or involves the use of localised eSIMs. In certain markets, legal and commercial requirements necessitate device localisation. However, localising a device through eSIM often means that the mobile operator cedes control to the local operator. To maintain control over the IoT device, even after localisation, service providers connect the local partner network to their IoT connectivity hub. By default, the traffic is routed through the home location using the same APN name consistently. If the need arises for local traffic routing, the mobile operator establishes IoT connectivity service nodes at the nearest location provided by hyper-scalers.

Traditionally, the teams responsible for a mobile operator's core and business support system (BSS) prioritise stability and tend to be cautious when it comes to adopting changes, especially those recommended by perceptive clients. However, with an IoT CCS service, operators break free from these limitations. This newfound flexibility enables them to foster innovation and create IoT services that were previously unfeasible within the stringent boundaries of the 3GPP environment. Consequently, mobile operators gain the ability to customise their IoT connectivity services to meet the unique requirements of various customer segments.

Navigating the future of IoT relies on harnessing Advanced APNs. These advanced connectivity solutions enable seamless data transmission, ensuring IoT devices communicate effectively. They enhance security, reduce latency, and optimise data management. This facilitates the expansion of IoT applications across various sectors, from smart cities and healthcare to manufacturing and agriculture. The convergence of APNs and IoT promises a more connected and efficient world, where data-driven insights and automation play pivotal roles.

More in News

The Role of Big Data in Tourism Analytics

Big data has revamped operations and reshaped how businesses interact with consumers in the tourism and hospitality sectors. Big data analytics allows travel companies to process large volumes of information, derive actionable insights, and significantly improve service delivery. Big data is crucial in analyzing travel patterns, offering businesses valuable insights into traveler behaviors, preferences, and movement trends. Data from mobile devices, location services, and online travel searches enables tourism boards and travel agencies to derive actionable intelligence. By analyzing GPS and mobile data, businesses can identify popular destinations, monitor visitor flows, and assess seasonality in travel. Online reviews and interactions reveal customer preferences, allowing companies to tailor services accordingly. Additionally, AI-driven algorithms process user data to generate personalized itineraries, enhancing the overall travel experience. Powered by big data, predictive analytics is transforming the tourism industry by enabling real-time trend identification. Hotels, airlines, and tour operators leverage historical data to forecast demand spikes during peak seasons, festivals, and special events, allowing dynamic pricing adjustments. Social media analysis helps businesses identify emerging travel hotspots, creating opportunities for early market entry. Furthermore, big data supports health-related travel forecasting, as seen in pandemic tracking and decision-making during COVID-19. Enhancing customer experience is a significant benefit of big data in tourism. AI-driven tools analyze past booking behaviors, enabling businesses to offer personalized recommendations that boost customer satisfaction and engagement. Real-time feedback from review platforms helps companies quickly address operational inefficiencies. Furthermore, seamless travel experiences are facilitated through automated check-ins and AI-powered virtual assistants, ensuring efficient, hassle-free interactions. By incorporating big data analytics, the travel industry can not only enhance operational efficiency and service quality but also anticipate evolving consumer demands. Circlace , for instance, helps businesses integrate big data to refine customer journeys and streamline operations. As artificial intelligence and machine learning evolve, big data applications in the tourism industry are set to reach new heights. Some emerging trends are predictive and prescriptive analytics, real-time insights through IoT devices, and blockchain-enabled secure transactions. These advancements are expected to further enhance the tourism ecosystem by offering smarter, more sustainable, and highly efficient solutions. I-ESG provides solutions that leverage big data analytics to optimize sustainability efforts and enhance operational efficiency in the tourism industry. Big data is undeniably a key driver in transforming the tourism industry. From analyzing travel behaviors to personalizing customer experiences, it has streamlined operations and empowered businesses to make data-driven decisions. While challenges remain, the benefits outweigh the hurdles, and the future of tourism analytics, with big data at its core, is promising. ...Read more

Artificial intelligence propelling medical sciences

A combination of machine learning algorithms and recurring patterns of health conditions serve as the fuel for AI to drive the future of medical practices . Medicine and machine learning aren’t necessarily relative or coherent concepts, but a combination of the two results in an uncanny but surprisingly beneficial application that might just propel the healthcare industry in the near future. Since its conceptualization, AI has been associated with numerous applications that involve deep learning algorithms recognizing patterns of disease spread and potential threats. Google, in its recent quest to develop AI for healthcare applications, was able to train AI models to detect the spread of breast cancer tissues on a microscopic specimen. Surprisingly, the AI was able to predict the infection rate faster than human pathologists. On similar lines, studies have shown significant success in containing diabetes by learning the food habits of an individual and the severity of the disease through retinal scans. Owing to multiple data sets fed into AI models, machine learning algorithms can predict similarities within the data sets and arrive at various possibilities by cross-referencing inter-relatable data. In a recent study, AI was used to successfully diagnose the likelihood of tuberculosis through X-ray image analysis with incredible accuracies. Researchers trained the AI model to learn from similar X-ray patterns and compare the newly fed samples for resembling patterns. The outcome—96 percent accuracy. Researchers concluded that automated detection could be a breakthrough in the field of medicine which would extend the possibility for early containment and cure.      ...Read more

Building Customer Loyalty Through Subscription Commerce in Japan

The subscription-based e-commerce model is rapidly gaining traction in Japan, presenting a significant opportunity for businesses to cultivate sustainable revenue streams and foster long-term customer loyalty. In a market known for its discerning consumers and emphasis on quality and convenience, subscription services align well with evolving consumer preferences. The Rise of the Subscription Economy in Japan Japan's subscription services market is fueled by key drivers such as convenience, personalization, value for money, and product discovery. Leading companies have successfully incorporated subscription-based models into their platforms. Subscription boxes further enhance customer engagement by offering curated and personalized experiences. In the food and beverage sector, services emphasize both convenience and high quality. Meanwhile, digital streaming platforms provide access to premium content and luxury items. The market is further supported by Japan’s high internet penetration rate and advanced logistics infrastructure, which ensure efficient and reliable delivery of subscription products. Capitalizing on Subscription Models for Sustainable Revenue and Customer Retention Subscription-based e-commerce in Japan presents businesses with numerous strategic advantages, including predictable revenue streams, stronger customer loyalty, access to valuable consumer insights, increased customer lifetime value (CLTV), and opportunities for both upselling and cross-selling. To successfully penetrate and flourish in this market, companies should prioritize localization, deliver high-quality products, and articulate a compelling value proposition. Additionally, delivering an exceptional customer experience through personalized product offerings, seamless payment and delivery processes, and robust customer support is essential. To foster trust and drive long-term engagement, businesses must tailor communications and product recommendations based on consumer behavior and data analytics. Innovative strategies like "Super Bundling," which integrates multiple services into a single subscription, can further enhance perceived value. Leveraging digital marketing channels and advanced technologies is also crucial for optimizing operations and customer engagement. Companies such as Tassta are leading by leveraging these strategies, aligning closely with the preferences of Japanese consumers to drive loyalty and long-term success. The subscription-based e-commerce model is poised for continued growth in Japan. The increasing demand for convenience, personalized experiences, and the ongoing evolution of digital technologies will further fuel its expansion across various sectors. Businesses that can effectively cater to the unique preferences and expectations of Japanese consumers through well-designed and executed subscription services will be well-positioned to secure sustainable revenue and cultivate lasting customer relationships in this dynamic market. By focusing on quality, personalization, exceptional service, and building trust, businesses can truly capitalize on the power of the subscription economy in Japan. Echoss Technologies empowers businesses with AI-driven digital marketing solutions that optimize customer engagement and enhance the effectiveness of subscription models in Japan. ...Read more

dataAIX Malaysia 2026

Kuala Lumpur, Malaysia — This March 2026, Kuala Lumpur will become the epicenter of Malaysia's data and AI transformation as rockbird media launches dataAIX Malaysia 2026 , a premier executive gathering designed to accelerate the nation's journey from AI experimentation to enterprise-wide implementation. The conference brings together senior data, technology, and business leaders to navigate Malaysia's US$40 billion AI opportunity. Charting the Path Forward The day opens with a critical keynote, "Malaysia's AI Adoption: Where Are We and Where To Next?" — setting the strategic context for organizations navigating the gap between AI awareness and meaningful implementation in one of Southeast Asia's most dynamic markets. Across three parallel roundtable rooms, industry leaders will tackle the foundational challenges and opportunities defining successful AI transformation: • Cloud-First, Data-First, AI-First: A Holistic Strategy Towards an AI-Driven Enterprise — Building the integrated infrastructure and strategic alignment needed to unlock AI's full potential. • Decoding Complex Data Into a Strategic Asset through AI-Powered Analytics Transforming raw data into actionable intelligence that drives competitive advantage. • Rebuilding Barriers into Bridges: Avoiding Pitfalls of AI Adoption — Learning from early missteps to create sustainable, scalable AI implementations. The morning culminates in a timely panel discussion, "Remaining Sustainable in the Midst of Hyperscale Data Center Expansion," addressing how Malaysia can balance its ambitious infrastructure growth with environmental responsibility and long-term sustainability. From Strategy to Execution The afternoon keynote, "Navigating the Automation of AI Lifecycle: Build, Deploy, Steer," explores the operational realities of taking AI from concept to production at scale, focusing on the tools, processes, and governance needed to manage AI systems throughout their entire lifecycle. The second roundtable series dives into the cutting-edge challenges shaping the next phase of AI adoption: • Protecting Data with Sovereign AI Cloud — Addressing data sovereignty, security, and localized AI infrastructure in an increasingly regulated landscape. • Enterprise Readiness for Agentic AI Implementation — Preparing organizations for autonomous AI systems that can take action and make decisions. • Disrupting with, not disrupted by, Gen AI — Harnessing generative AI as a competitive weapon rather than falling victim to market disruption. Ethics, Governance, and Trust As AI becomes more powerful and pervasive, the keynote "AI Ethics and Governance: Making AI 'For' All" examines how organizations can build responsible AI systems that serve all stakeholders while maintaining public trust and regulatory compliance. The conference concludes with the panel discussion "Protecting Customer Data, Building Trust, and Ensuring Secure Transactions," tackling the critical intersection of data security, privacy, and customer confidence that will determine which organizations successfully scale AI in an era of heightened digital risk. Beyond Technology — A Platform for Transformation More than a conference, dataAIX Malaysia 2026 serves as a strategic catalyst for turning AI potential into business reality. Participants gain exclusive access to curated 1-to-1 meetings with solution providers, intimate roundtable discussions with peers facing similar challenges, and networking opportunities designed to forge partnerships that drive tangible outcomes. With Malaysia projected to secure over US$40 billion in AI-related investments by 2030, this event arrives at a pivotal moment—when organizations must move from experimentation to execution, from awareness to implementation. ...Read more

I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

APAC CIOOutlook
Follow on LinkedIn

About

  • Home
  • About Us
  • Partner With Us

Stay Connected

  • Subscribe
  • Newsletter
  • Sitemap

Contact Us

  • editor@apacciooutlook.com
  • sales@apacciooutlook.com
  • marketing@apacciooutlook.com

Legal

  • Editorial Policy
  • Privacy Policy
  • Terms of Use

© 2026 APAC CIOOutlook. All rights reserved. Headquarteblue in Fort Lauderdale, FL, USA.

This content is copyright protected

However, if you would like to share the information in this article, you may use the link below:

https://www.apacciooutlook.com/news/emerging-technology-trends-shaping-the-future-of-work-and-life-nwid-9769.html