How do you know if the label "fake news" applies to the words you are reading or the news stories you are watching on TV or the internet? One of the things I do to make sure what I'm reading is actual news and not fake news is to make sure the news I'm reading is coming from a trusted publisher. Among those I trust to deliver accurate fact-based reporting is Bloomberg.
It's a brand that has been in the business of delivering information since the 1980s. Now, amid a turbulent time for the news media and a groundbreaking time for the advancement of data analytics, Bloomberg is positioned to apply the benefits of AI and machine learning to news gathering, information gathering, and more.
This week we welcome Bloomberg CTO Gideon Mann to A2 Radio. Mann also serves as Head of Data Science at Bloomberg, which started out as financial data services provider and still is well known for its "Bloomberg Terminal."
In his capacity heading up data science at Bloomberg, Mann's work touches a wide range of issues, from how data science can be used for news gathering and reporting and fact checking to some experiments the firm is conducting about how augmented reality might be used in an enterprise setting.
We'll also talk about social sentiment analysis. This is another key project at Bloomberg. Bloomberg has examined how sentiment analysis techniques can be applied to identify news stories or tweets that are relevant for an individual stock ticker and assign sentiment scores to stories or tweets in a feed.
Join us on Tuesday, July 18, at 2 pm ET/11 am PT as we talk to Gideon Mann about all these issues, projects, and what else is going on in Bloomberg's office of the CTO. You can register now for this event by clicking here.