AirData live streaming update adds 10-minute rewind and cloud recording

This update addresses a critical bottleneck in remote drone operations where decision-makers often join streams after an incident has begun. By decoupling recording from the physical aircraft and providing instant playback, AirData reduces the risk of data loss from hardware failure and eliminates the need for pilots to manually restart maneuvers for missed footage. Within the broader streaming ecosystem, this move signals a shift toward low-latency, high-reliability cloud infrastructure for mission-critical B2B video. As the industry moves toward the FAA’s Part 108 framework for routine BVLOS flights, watch for how these cloud-redundant recording features become a standard requirement for regulatory compliance and liability management.

Nokia has emerged as one of the most aggressive vendors in the agentic AI space for network operations, a competitive dynamic that contextualizes the broader push toward autonomous systems across B2B streaming and video infrastructure. At DTW Ignite 2026 in Copenhagen, Nokia teamed up with Google Cloud to build six specialized AI agents using Gemini technology for network troubleshooting, including a router agent, event triage agent, and anomaly reasoner agent. Nokia plans to launch the agentic platform in Google Cloud Marketplace in September 2026, with operators able to deploy the router and event triage agents via Nokia Assurance Center. The company claims these agents can reduce network problem-solving times by 50% to 80%, a metric that mirrors the latency-reduction goals driving platforms like AirData to invest in cloud-based recording and instant rewind capabilities. On the business and partnership side, Nokia is assembling a multi-layered architecture it calls Autonomous Network Fabric, combining cloud, data, and control planes from different vendors. Nokia announced work with AWS and Databricks to build the data, cloud, and control layers for autonomous networks, with Databricks handling unified data ingestion and AWS providing the AI cloud layer. Nokia reported that operators using its autonomous networks portfolio are achieving automation rates above 90%, service delivery times under four hours, and up to 85% reduction in slice rollout time. Meanwhile, Ericsson launched its AI in RAN commercial software subscription on June 11, 2026, claiming up to 20% higher downlink throughput across more than 15 live deployments, signaling that the vendor race around autonomous operations is intensifying across the entire stack. Technical benchmarks from Nokia's mobile core division illustrate the performance gains that agentic systems can deliver in production environments. Nokia's mobile core team reported that AI-driven paging reduces call setup time from roughly 10 seconds to one or two seconds by using machine learning to locate user equipment more efficiently, with the company offering a Mobile Core Early Access program for operators to trial these features before full deployment. The strategic divergence between vendors is also notable: Ericsson and Nokia are now pursuing fundamentally different AI-RAN architectures, with Nokia building its entire Layer 1 RAN on Nvidia hardware following a $1 billion investment, while Ericsson focuses on software-level AI optimization on existing baseband silicon. For streaming infrastructure providers like AirData, these developments underscore how cloud-native, AI-assisted architectures are becoming the expected baseline for any platform handling mission-critical video at scale. For related background, see StreamingMeme's prior coverage of Vidyard AI platform refresh adds automated chaptering and multi-language audio.