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Product Marketing Manager
Adam has spent more than 10 years in the video industry, helping turn complex technology and industry trends into clear, engaging stories. At Bitmovin, as a Senior Product Marketing Manager, his work covers the full portfolio, including playback, observability, VOD and live encoding, and AI Scene Analysis. His focus is on making these technologies easier to understand and relevant to the challenges video teams face today.
TL;DR A passenger watching video while the vehicle is moving, a driver watching during a fifteen-minute charging stop, and two kids watching two different rear-seat streams are four completely different viewing contexts happening in the same trip. Treating that as one device with a single viewer experience misses what is actually changing. Each of those…
TL;DR —– A live audience of millions and over six weeks of World Cup football, back to back. Launched with RTBF, this deployment got the kind of real-world test most new ad architectures rarely see. It generated real-world data on viewer behavior, ad decisions, and how the architecture held up under live broadcast pressure. Every…
This post was originally published in August 2024 and has been updated for 2026. For streaming platforms, the need to offer more dynamic, interactive, and immersive viewing experiences to set themselves apart from the competition never lets up. Sports fans crave control over how they watch their favorite games and content, and look for better…
TL;DR Ad revenue can drop for two very different reasons, and one blended revenue number cannot tell them apart. Inventory can go unsold, a supply problem, more of it filled with slate than with a paying ad. Or ads that did sell can fail to finish playing, a completion problem, whether from a technical failure…
TL;DR Live streaming protocols have long been shaped by the constraints of TCP. RTMP and SRT both work around those constraints in different ways, but neither was designed for the low-latency, resilient delivery that modern live streaming demands. MoQ (Media over QUIC Transport) takes a different approach: built natively on QUIC and WebTransport, packet loss,…
A goal in a World Cup knockout match is a near-instantaneous traffic event across tens of millions of concurrent sessions. In 2026, that happens across 104 matches, streamed across 212 territories, for a projected 6 billion total engagements; the largest live streaming test the industry has ever faced. Qatar 2022 proved streaming could handle global simultaneous demand. 2026 is the test of whether it can do it reliably, on every device, in every market, across 39 consecutive days without degradation. This post covers what that actually requires.
What is Adaptive Bitrate (ABR) Streaming? Adaptive Bitrate Streaming (ABR) is a technology used in modern video streaming applications that can dynamically adapt in real-time, in order to provide the best quality for each individual viewer. ABR streams take into account network conditions, screen size and device capabilities and can adjust on the fly…
Cloud encoder provisioning is live streaming’s most quietly worked-around problem. When a broadcast triggers, the cloud allocates a machine, deploys software, and only then is the encoder ready, an unpredictable delay that breaks news teams, sports platforms, and UGC services have long patched with lead-time buffers and over-provisioning. This post explains why that structural problem exists and how Bitmovin’s Live Encoder Standby Pools solve it with pre-configured, instantly available encoders held in a ready state before they are ever needed.
Ad servers confirm that an ad was sent. They cannot tell you whether it actually played. For streaming platforms where ad revenue is the model, that blind spot is a direct and silent revenue leak. This post examines why player-native, real-time ad analytics have become an operational necessity across FAST channels, live events, and on-demand content, how the failure modes differ by format, and how Bitmovin’s Ad Observability closes the gap with session-level data available at one-minute intervals across CSAI, SSAI, and SGAI delivery.
Over 90% of video teams are already exploring AI in their workflows. The question is how to integrate it in a way that actually moves the needle. This post covers how content-aware encoding, automated scene metadata, contextual advertising, workflow orchestration, and real-time observability work together to help streaming teams reduce costs, improve quality, and unlock measurable ROI across every stage of the VOD pipeline.
The Bitmovin Blog. Keeping you informed.