Can big data, AI and chemical footprinting help the renewable energy sector avoid a toxic waste legacy?

The launch of the digital economy has brought with it an expansion of disruptive technologies such as predictive analytics, artificial intelligence (AI) and robotics that are readily being used to transform the marketplace. But can we also use these breakthrough technologies to accelerate the development of safer, more sustainable materials for the renewable energy sector?