Bandwidth prediction is already a difficult task and must be more accurate when lower latency is desired due to the shorter time available to react to bandwidth changes. Any inaccuracy in bandwidth prediction results in flawed rate-adaptation decisions, which will, in turn, translate into a diminished viewer experience. This talk presents several bandwidth prediction models (based on statistical and computational intelligence techniques) optimised for low latency, a rate-adaptation scheme (both heuristic and learning-based), and a playback speed control scheme to completely overhaul low-latency live streaming clients.