INTELLIGENT WORKFLOWS art and pany , focus on ers to ble energy co-develop data and analytics strategies , and develop data-driven products . For example , we have developed a data-driven algorithm that can be used to recommend where best to place EV charging points as BP aims to increase its global EV charging network to 100,000 charging points by 2030 .
“ My team is also developing a fleet decarbonisation tool with BP ’ s regions , cities & solutions business . The tool is intended to analyse fleet data and recommend the most cost-effective decarbonisation package and pathways ,” said Bell .
BP can then help simplify the complexity behind the transition to a low-carbon economy through designing fleet packages for our customers that consider things like total cost of ownership , operations , country-specific policies , and emissions at a granular level .
Harnessing BP ’ s breadth of knowledge , the fleet decarbonisation tool allows customers to make decisions on optimal fleet composition and choose less carbon intensive fuel types .
“ We are also investing in data and analytics tools and platforms to increase development speed and user experience for our internal data and analytics users . For example , the data and analytics platform team developed a Machine Learning DevOps framework in collaboration with Amazon Web Services , which received the DevOps industry award for ‘ Best DevOps Tool / Product 2021 ”. technologymagazine . com 113