Utilising mobile big data and AI to benefit society
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Insights from the Covid-19 response
The Covid-19 pandemic has had a profound impact on health and economies across the globe. It has also been a watershed moment for mobile big data (MBD) analytics, one which has brought mobile operators, governments and international agencies together to develop effective responses. In this report, multiple use cases illustrate how analytics products can help inform critical decisions, shape intervention plans and assess the impact of actions while respecting data privacy. It also offers recommendations based on detailed case studies and outlines the potential for MBD analytics to tackle a broader set of global challenges in local settings in the long term.
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AI inference in practice: choosing the right edge
As AI adoption grows, inferencing will accelerate, raising questions about workload processing and business benefits. This analysis examines how running AI workloads on the edge can deliver improved outcomes.
Made for IoT Summit 2025: key takeaways from the show
Earlier this month, Onomondo hosted the Made for IoT Summit 2025, bringing together a mix of IoT developers, device OEMs, module makers and adopters from across the IoT ecosystem, under the motto 'IoT connectivity should never be a bottleneck'. Key themes discussed included the latest GSMA eSIM SGP.32 and SGP.31 specifications, how the ecosystem is getting ready for commercial launches and the impact to connectivity service providers and device makers. Non-terrestrial networks IoT was a topic of focus as well, with the event’s participants taking note of progress being made and expressing high expectations for further advancements in the low Earth orbit space that will help drive greater adoption and lower costs. Finally, a new flagship private wireless project was unveiled in detail: Onomondo’s implementation with Maersk, Nokia and a suite of other partners that will bring private wireless to 450 ships at sea.
AI inference in practice: time is money
As AI adoption grows, inferencing will accelerate, raising the question of where workloads will be processed and how they translate into business benefits. This analysis examines AI on the near edge in distributed telco data centres, with Kinetica highlighted as an example.
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Learn moreRelated research
AI inference in practice: choosing the right edge
As AI adoption grows, inferencing will accelerate, raising questions about workload processing and business benefits. This analysis examines how running AI workloads on the edge can deliver improved outcomes.
Made for IoT Summit 2025: key takeaways from the show
Earlier this month, Onomondo hosted the Made for IoT Summit 2025, bringing together a mix of IoT developers, device OEMs, module makers and adopters from across the IoT ecosystem, under the motto 'IoT connectivity should never be a bottleneck'. Key themes discussed included the latest GSMA eSIM SGP.32 and SGP.31 specifications, how the ecosystem is getting ready for commercial launches and the impact to connectivity service providers and device makers. Non-terrestrial networks IoT was a topic of focus as well, with the event’s participants taking note of progress being made and expressing high expectations for further advancements in the low Earth orbit space that will help drive greater adoption and lower costs. Finally, a new flagship private wireless project was unveiled in detail: Onomondo’s implementation with Maersk, Nokia and a suite of other partners that will bring private wireless to 450 ships at sea.
AI inference in practice: time is money
As AI adoption grows, inferencing will accelerate, raising the question of where workloads will be processed and how they translate into business benefits. This analysis examines AI on the near edge in distributed telco data centres, with Kinetica highlighted as an example.
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