At Radio Télévision Suisse (RTS), accurate and up-to-the-minute weather forecasting is a competitive differentiator. As Switzerland’s leading French-language broadcaster and news organization, RTS is always on the hunt for leading-edge technology solutions to continually improve its weather broadcast workflows.
With the CAMIO Universe, we’re introducing a centralized, producer-driven workflow that places producers, journalists, and directors in control of content creation and play-out. It’s a stark contrast to old-school production workflows driven by standalone hardware systems that are costly to own and operate (and thus represent significant CAPEX). No longer at the mercy of complex hardware and technologies that once created delays and required specialized technicians, producers are empowered to tell a story efficiently and in the exact manner they wish.
In our last post, we unveiled the CAMIO Universe — a complete, end-to-end, producer-driven workflow focused entirely on content creation and playout. The CAMIO Universe brings together integrated and easy-to-use software tools that everyone in the news department can use to create content and deliver it to air.
The buzzword Big Data is normally used to describe a massive volume of structured or unstructured data. Big Data may be analysed to reveal patterns, trends, and associations, especially relating to human behavior and interactions.
Imagine a breaking news situation. You want to get a live feed, interviews and images on air as quickly as possible, but it's a location that is difficult for a satellite truck to reach or you don’t have access to a truck at all.
So, how do you get your on-location content on air? Well, to start with, almost all of us are already equipped with a highly competent video camera with a built in live Up-Link...