With the rise of social media and companies in the "new economy," there was renewed interest in applying AI for credit assessment. A not insignificant part of these companies' investment in AI, is making it explainable (xAI).
Joris Peeters talks about the use of xAI within Credit Management, which is going to help us with the reliability of credit scoring and first and foremost complies with the laws and regulations surrounding ethics and transparency.
During the first months when Covid-19 kicked in, Altares Dun & Bradstreet's Data Scientists developed an index that could measure trading intensity. The goal of this was to support our clients with relevant, forward-looking and actionable insights from our data.
How both countries will do in this Euro's, we leave to the sports experts. But how are France and Germany doing as a country? Our data experts dove into the figures for you and present the most important insights.
Data Scientist Joris Peeters reveals the secrets behind our adaptive scorecards. How can we obtain reliable scores in economically unstable times? Joris discusses these and more trending topics around business data.
By identifying the list of business partners at risk, we can help proactively mitigate business risks. Even in these times.
Setting up a Master Data Management strategy for in 5 steps
How will data help us to get through the corona crisis? And how are you making use of data in these challenging times? On behalf of Altares Dun & Bradstreet Sam Vandormael will tell you more about this in the next two minutes.
Is there something as moral behavior between companies in these challenging times? Adriaan Kom will tell you more about this in the next 2 minutes.
In minder dan een maand tijd zijn er wereldwijd tienduizenden mensen besmet geraakt. Om de wereldwijde impact van de uitbraak te beoordelen, heeft Dun & Bradstreet een speciaal briefingrapport opgesteld.
Thanks to AI and machine learning, you can now connect, harmonize and analyze all your data sources with one marketing intelligence tool.
Cars today can drive themselves, objects can be printed at home, and appliances we can control with our thoughts. Then it's not so strange that we can predict how things will be tomorrow, right?
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