Combatting augmented complexity with augmented intelligence
Scheduling content is in itself a complex and time-consuming task. It takes long experience and deep knowledge of how to attract and retain viewers by optimally scheduling the available content in line with the company mission.
Recent years have seen this complexity increase considerably as media companies try to reach and engage viewers with ever more content on an ever widening array of channels and platforms. At the same time, both viewers and advertisers have come to expect ever higher levels of, respectively, addressability and personalization. As a result, the list of dimensions that make or break a schedule has never been so wide and varied.
Amid this growing complexity, we aim to help scheduling experts make those key decisions with ease, accuracy and speed. We have chosen to do so by automating time-consuming manual processes so that the experts can concentrate on what they do best, and by leveraging augmented intelligence on the experts’ input to make optimum use of the available content.
That is why we have developed and will continue to develop Scheduling Artist, our suite of AI tools that seamlessly integrate into the scheduling workflows. These AI products can either help with small individual tasks, or be combined into essential tools that help lift the entire content supply chain to new levels of operational and strategic excellence.
Planners stay in control
The purpose of these tools is not to replace cognitive judgement. The programme planners stay in control, and determine the level of abstraction that the algorithm is allowed to handle. This is demonstrated by the following three Scheduling Artist tools: Ratings Prediction, Scheduling Recommendation, and Automated Off-Peak Scheduling.