Since the emergence of Taylorism and of the specialized worker executing one specific task, working methods never stopped to evolve. Nowadays, in the era of self-management, we make sure that every employee has been given the keys to participate in the decision making process and to perform his mission.
Today there is an increasing multiplication of concepts around the managing methods of development projects. But to succeed in adapting them to each context, it is important to first understand the basic principles.
TalkingData, China’s largest independent big data service platform, covers over 70% of active mobile devices nationwide. Their current approach to prevent click fraud for app developers is to measure the journey of a user’s click across their portfolio, and flag IP addresses who produce lots of clicks, but never end up installing apps. While successful, they want to always be one step ahead of fraudsters and have turned to the Kaggle community for help in further developing their solution.
Do you know the Lamport clocks? Devoxx France 2018 was the opportunity, during the very interesting talk of DuyHai DOAN , to discover or rediscover this algorithm formalized by Leslie Lamport in 1978, more than ever used today in the field of distributed systems, and which would have inspired the Kafka developers in the implementation of the pattern of Idempotent Producer .
TensorFlow is a software library, open source since 2015, of numerical computation developed by Google. The particularity of TensorFlow is its use of data flow graphs.
Data Science is having an increasing impact on business models in all industries, including retail. According to IBM, 62% of retailers say the use of Big Data techniques gives them a serious competitive advantage. Knowing what your customer wants and when, is today at your fingertips thanks to data science. You just need the right tools and the right processes. We present in this article 10 essential applications of data science in the field of retail.