Q1 2025 Insights:
AI's Role in IoT Connectivity
AI is transforming IoT connectivity, driving automation, efficiency, and real-time decision-making. Explore key insights from MWC 2025 on AI’s growing role in IoT innovation.
AI-Powered IoT Moves from Concept to Reality
What if IoT devices could predict failures before they happen, optimizing themselves in real-time? At MWC 2025, this wasn’t just a concept—it was a reality. As an active participant, Telenor IoT engaged with industry leaders, explored cutting-edge innovations, and uncovered insights that will shape the future of AI-driven IoT. Our booth served as a hub for conversations on AI, connectivity, and market shifts—many of which are shaping the future of IoT.
While nearly every solution provider has now incorporated some form of AI, many organizations are still in the early phases of their AI journey, primarily using conventional machine learning techniques. This transition from early-stage experiments to fully integrated AI ecosystems is a key theme emerging from MWC 2025.
When you scratch the surface and ask detailed questions, most companies are really in an early stage (using AI mainly for conventional machine learning)… It takes time to embrace AI fully in any company’s business.” Bengt NordströmSenior Adviser, Analysys Mason
The Role of AI in IoT: Insights from MWC 2025
AI is driving major advancements in IoT by making devices more intelligent, autonomous, and efficient. At MWC 2025, three core areas stood out:
Predictive Maintenance & Intelligent Automation
- Predictive Analytics: AI can analyze vast amounts of IoT sensor data to predict failures before they occur, thereby preventing costly downtime.
- Automation in Action: Industrial IoT applications are increasingly leveraging AI to automate complex tasks, reducing reliance on human intervention.
- Enhanced Cybersecurity: AI-driven cybersecurity solutions are emerging to detect and mitigate threats in real time, reinforcing network integrity
Edge AI: Real-Time Intelligence Without the Latency
- Localized Processing: Moving computation closer to the source minimizes latency and reduces dependency on cloud computing.
- Smart City Applications: At MWC 2025, a notable demonstration showed how AI-enabled edge devices can make split-second decisions—such as adjusting traffic signals in real time based on live sensor data.
- Energy Optimization: AI-powered smart meters are learning consumption patterns to optimize energy usage efficiently.
AI for Autonomous Network Optimization
- Dynamic Bandwidth Allocation: AI algorithms can automatically allocate bandwidth and optimize connectivity to ensure seamless operations.
- Self-Healing Networks: Discussions at MWC highlighted how AI is enabling networks to self-heal and adapt to fluctuating demands.
- Proactive Security: Machine learning models are now a critical component in monitoring and protecting networks from emerging cyber threats.
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MWC 2025: Five Key Takeaways for the Future of Cellular IoT
Hear from Telenor IoT Experts about Their Experience at MWC
Telenor IoT experts explored key industry trends: the growing importance of holistic cybersecurity across the IoT stack, the impact of evolving roaming regulations on global IoT deployments, and the role of non-terrestrial networks in expanding coverage. With AI driving innovation and new standards like SGP.32 on the horizon, Telenor IoT remains committed to guiding businesses. Watch the video for their views!
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