Whether it’s banking, insurance, manufacturing, public services or retail: analytics can be useful anywhere. Véronique Van Vlasselaer, doctor in business economics and pre-sales analytical consultant at SAS, knows this better than anyone.
Véronique helps businesses understand how to get value out of their data by using machine learning and artificial intelligence. Van Vlasselaer is an expert in extracting and visualizing useful data in any context, but she stresses that’s only part of the job. “Machine learning and AI won’t bring value to the business on their own”, she says in a comprehensive interview with DataMiningApps. “It needs to be part of the business processes. The efforts of data scientists need to be operationalized.”
Furthermore, input from business experts is crucial. Business value can only be created when a data scientist is part of a team. “I spend lots of time trying to better understand the business I’m helping out, translating the input of experts into effective detection algorithms.” Listening is a core quality of data scientists.
In this interview, Van Vlasselaer gives a thorough description of her job and how it relates to the business. If you’re looking to extract the most from your data endeavours, the full article is a must-read.
You’ll discover:
- Which domains can benefit from machine learning and AI
- How datascience can lead to added value
- The role of AI in the business of the future
- The difference between machine learning and neural networks