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It’s imperative in today’s world to be able to make split second decisions based on real-time data. Reports based on batch data are great for looking back at trends and potentially making long-term decisions, but old data is in many cases already obsolete, and the opportunity to have an actionable impact on the success of a specific process may have been lost.
What if we could easily set up a near real-time data pipeline that could be used to provide complex analytics and make intelligent actions based in the result?
The Risks of Insecure YAML Deserialization in Python
YAML is a python favorite for object serialization, especially around application configuration. So, it is...
Agile eXamined: The Sprint Goal
Daily standups, acceptance criteria, user stories, retrospectives…am I right Agilists? In the day-to-day, it’s easy...
Contextualizing Responsible AI Practices for Fraud Detection
Developing and sharing Responsible Artificial Intelligence (AI) practices are a key element in protecting the...