AI systems depend on high-quality data, making connectivity a critical component of the AI value chain. This Transforma Insights/FLOLIVE webinar examines how network performance affects the completeness, timeliness and reliability of IoT data, the consequences of poor connectivity for AI outcomes, and how AI can improve connectivity itself. It then explores the evolution towards AI-ready and AI-native connectivity, combining network, device, compute and AI intelligence.
AI systems are only as good as the data they receive, yet the role of connectivity in determining data quality is often overlooked. For IoT applications in particular, coverage, reliability, latency, packet loss, congestion and session continuity can all affect whether data reaches an AI system completely, consistently and on time.
Following the publication of the free Position Paper, Connecting AI: The critical role of connectivity in AI data quality, this webinar hosted by Transforma Insights and FLOLIVE on 29 October 2026,examined the relationship between connectivity and AI data quality, looking at how poor connectivity can affect AI outcomes and how AI can itself be used to optimise connectivity. The session also explored the evolution from conventional connectivity management towards AI-ready and AI-native connectivity, in which network intelligence, device data, connectivity information, compute resources and policy requirements are managed together.
During the webinar, Transforma Insights and FLOLIVE addressed topics including:
Why connectivity matters to AI data quality: How coverage, reliability, latency, packet loss and session continuity affect whether IoT data is complete, timely and consistent enough for AI applications.
How poor connectivity affects AI outcomes: How missing, delayed or inconsistent data can contribute to missed events, false alerts, incorrect classifications and delayed decisions, particularly for real-time AI applications.
Using AI to improve connectivity: How AI can support predictive network management, anomaly detection, traffic optimisation, automated troubleshooting and service assurance, creating a feedback loop between connectivity and AI.
The evolution towards AI-ready connectivity: How QoS, multi-network orchestration, intelligent routing, workload awareness, edge computing and network intelligence APIs can support the requirements of AI workloads.
The emerging AI-native connectivity proposition: How AI can be embedded throughout connectivity management, enabling autonomous network selection, predictive management, dynamic allocation of connectivity and compute, and closed-loop remediation.
Connectivity as an intelligence layer: How providers could move beyond managing connections towards coordinating connectivity, network intelligence, distributed compute and IoT data to support managed AI-enabled services.
Speakers:
Matt Hatton, Founding Partner, Transforma Insights
Assaf Harel, Senior Director of Big Data and AI Products, FLOLIVE
Replay & Slides
The webinar is available as a replay below.
Below that is a 'Download report' link which allows the slides to be downloaded by any subscriber to our Essential, Prime or Corporate offerings. If you are not an existing subscriber to our services, click on the graphic for the video below and you can register for a free 'Essential' subscription.
By registering for and/or accessing this webinar you agree to receiving communication from Transforma Insights and the sponsor(s) of the webinar.
https://eu-central-1.graphassets.com/AzkeAz6VDRsy1aPzoiXrYz/resize=height:300,width:300/cmvtxjwhslsff07utxlfywdw9
