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Learn more about hot topics, such as eXplainable AI and dynamic pricing, in interviews and articles written by members of the Rulex team
Stop wasting time on data preparation
It takes time to get to know your data. Understanding your data and preparing it for analysis is a critical step for any successful project. But as any data analyst will tell you, data preparation is a time-consuming process, and often involves multiple software tools: one to extract data, one to transform and convert, and finally another tool to upload the results.
How to deliver successful data-driven decision-making projects
Implementing data-driven decision-making process bring tremendous benefits to businesses, but it can also be complex to manage. In Rulex, we have developed an effective method, tested and improved over time, to solve the issue and run successful data-driven decision-making projects.
5 magic tricks to start your data-driven decision-making project
Data-driven decision-making (DDDM) is revolutionizing almost all industries and departments. Experts agree that those who now embed DDDM into their organization will have significant benefits and competitive advantages in the future. This brief article will look into...
Explainable AI: why it is important for business
Explainable AI produces transparent, easily explainable models. Using a series of if-then statements, Rulex automatically produces self-explanatory logic for all decisions. Rulex rulesets make it possible to explain a decision directly to the customer or provide customer service agents with the ability to look up the reason for a decision.
The First Rule About AI Club: You Don’t Talk About AI
The First Rule About AI Club: You Don’t Talk About AI.
How focusing on decisions can help you productionize your next AI project
Calculate the dynamic pricing for your products with AI in the new normal
We discussed how new dynamic pricing solutions can help the business along with Victor Noda, CEO of Mobly (largest online furniture retailer in Brazil), and our partners, Danillo Roberto Pereira, PhD and Stephen Hutson, from Analytics2Go
