State Street Announces Strategic Partnership with FactSet to Distribute MediaStats

https://www.businesswire.com/news/home/20191106005638/en/

BUSINESS WIRE – State Street MediaStats scours more than 100,000 media sources as well as other big data sources to estimate future price changes and risks pertaining to individual equities, country equity indexes, and foreign exchange rates. The indicators use natural language processing and machine learning algorithms to account for biases and helps filter out noise in the media based on an extensive body of founding partners’ research.

How Machine Learning Pushes Us to Define Fairness

https://hbr.org/2019/11/how-machine-learning-pushes-us-to-define-fairness?utm_source=twitter&utm_medium=social&utm_campaign=hbr

  • David Weinberger – As we look at higher levels of abstraction — from using sliders to adjust the mixes in the bins, to questions about optimizing possibly inconsistent values — ML is teaching us that fairness is not simple but complex, and that it is not an absolute but a matter of trade-offs. 
  • FinServ Ramps Up Machine Learning

    https://www.marketsmedia.com/finance-to-increase-machine-learning-use/

    Shanny Basar – The study said firms were using machine learning in cases ranging from equity trading to optimize order-routing and deal execution to anti-money laundering where the technology is used to analyse millions of documents for ‘know-your-customer’ checks. Insurance and banking had the most live cases in the sample with the median bank having 5.5 machine learning applications.

    What’s the Difference Between AI, ML, Deep Learning, and Active Learning?

    https://www.datanami.com/2019/09/17/whats-the-difference-between-ai-ml-deep-learning-and-active-learning/

    Kiran VajapeyToday, the terms artificial intelligence (AI) and machine learning (ML) are often used interchangeably. While the terms are related, they mean different things. We map out how they all relate to one another, so your team can find the best candidates, best approaches and best frameworks as you embark upon your AI journey.

    Buy Side Turning to Technology to Meet Today’s Challenges

    https://tabbforum.com/opinions/buy-side-turning-to-technology-to-meet-todays-challenges/

    Monica Summerville – The practical reality of this means robotic process automation (RPA), as opposed to AI – e.g., machine learning (ML) and Natural Language Processing (NLP) techniques – are more likely to be implemented to start.