Mobility in the age of massive data: opportunities and challenges
Resumo
The development of IoT and machine learning in recent years has brought new opportunities to the mobility industry. The amount of data collected from the fleet with telemetry is not only more accurate but also more available with lower IoT costs. Customers’ experience and profitability can be dramatically improved by means of using IoT datasets and machine learning models. These opportunities however come together with Big Data challenges. In this paper, we describe some of the opportunities and challenges that Localiza, the largest car rental company in Brazil, has been addressing as part of its digital transformation.
Referências
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009. Imagenet: A large-scale hierarchical image database. In 2009 IEEE conference on computer vision and pattern recognition. Ieee, 248–255.
FERNANDO S MEIRELLES. 2022. Pesquisa Anual do FGVcia. Uso de TI nas Empresas 33 (2022).
Ricardo Novo. 2021. Por que a Localiza adquiriu a Mobi7? A estratégia por trás da aquisição de uma empresa de telemetria. (November 2021). [link]
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al. 2015. Imagenet large scale visual recognition challenge. International journal of computer vision 115, 3 (2015), 211–252.
Jiahui Yu, Zirui Wang, Vijay Vasudevan, Legg Yeung, Mojtaba Seyedhosseini, and Yonghui Wu. 2022. Coca: Contrastive captioners are image-text foundation models. arXiv preprint arXiv:2205.01917 (2022).