Why is Dow Jones, founded back in 1882, interested in machine learning?
15 January 2020
Artificial intelligence models feed on data – but what do you do if your data pipeline is running dry, or you need information that’s not present in corporate repositories?
It’s time to turn to data vendors – some of these are new kids on the block, while others are established names that are re-inventing their business models to accommodate the new data economy.
Dow Jones fits into the second category – primarily known for its publishing and financial information services, the company is creating new revenue streams by offering its data for AI training.
At the AI Summit New York in December, we caught up with Niranjan Thomas, general manager for Developer Platform and Solution Engineering at Dow Jones, to find out more.
“As a data company, and as a provider of data, we employ AI and machine learning in the creation of our products, but we also work with customers who themselves are using artificial intelligence and machine learning with our data. So there’s AI in many places, both within our products and also within our customers environments,” Thomas told AI Business.
“We have highly structured data, for example, in our risk and compliance business, so we have lists of sanctioned individuals and bad actors, if you like.
“We also have completely unstructured data, like news articles which we aggregate through our Factiva product, or our newswires product. We could consider the underlying articles as unstructured content, but we apply some level of structure to that content as well. We use machine learning, and rules-based encoding to tag and code the content, so our customers can find the companies and the people and the subjects and topics that they’re interested in.”