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.
This webinar will examine 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. It will then explore 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.
In this webinar, Transforma Insights and FLOLIVE will examine topics including the following, related to the impact of how connectivity is delivered and the quality of AI inputs:
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.
The webinar will take place at 08.00 Pacific / 11.00 Eastern / 15.00 UK / 16.00 C Europe.
Register here
