ZSL: Leveraging AI and Cloud Computing for Wildlife Conservation with Network Rail

Key Takeaways

biodiversity is critical for our long-term Health but we are losing Wildlife at an alarming rate Railways in addition to transporting millions of passengers and tons of freight can also serve as biodiversity corridors connecting wildlife habitats in cities and the country we partnered with zsl to monitor Wildlife along lineside habitats to support our biodiversity commitment of net gain by 2035 machine learning allows us to analyze thousands of hours of acoustic data in real time to identify the lineside habits of different species with Google cloud data and AI Solutions we process our data four times faster and are able to predict Trends in minutes rather than hours this helps us to gain datadriven insights that maximize the impact of our conservation effort and also creates a biodiversity Benchmark for the railway [Music] state