What You Might’ve Missed These Last Two Weeks
A rundown of the stories that were published on WatersTechnology from Dec. 18-Jan. 1.

Since we know that many of our subscribers were on holiday the final two weeks of the year, we wanted to highlight some of the stories we published over that span. Also, if there’s anything you think we missed in 2020, don’t hesitate to let me know: [email protected].
End-of-Year Round-ups
* Machine Learning in the Capital Markets 2020: ML Spreads During Pandemic A look at how 10 different firms are embedding machine learning algorithms into their platforms and tools.
* The ABCs of NLP: How Trading Firms Used NLP to Navigate 2020 This year, natural language processing came to the fore in capital markets, helping firms of all kinds parse huge, unstructured datasets. Here are some of the more interesting use-cases for the tech.
* App Interop in 2020 Anthony takes a look at some of the major projects that involved application interoperability from last year. The list includes feats by Goldman Sachs, BlackRock, Barclays, ICE, State Street, Refinitiv, and FactSet.
* Asia at the Forefront of Innovation—A Look at Tech Projects in the Region An examination of some of the major projects coming out of Asia that are leading the way for firms around the globe.
* How Will Covid Lessons Reshape Financial Tech in 2021? As 2020 comes to a close, firms have adjusted their short- and long-term plans in the face of the coronavirus. We focus on office space, innovation, alt data, and mental health.
* As the Benefits of Digital Assets Become Harder to Ignore, What’s the Path Forward? Lisa Iagatta, Isitc chair, says financial institutions have an opportunity to create more efficient processes in areas such as trade settlements through the use of digital assets.
News Stories
* SEC’s Market Data Infrastructure Rule Not Easily Said or Done The finalized equities market infrastructure reforms will make a difference, but some market participants are calling for additional clarity.
* Arabesque AI to Launch New Prediction Engine Using Machine Learning The firm is working with different machine-learning methods for portfolio construction, and expects its AI system to go live early next year.
* SS&C Advent & Refinitiv Refine Cloud Plans Anthony looks at how two major tech companies in the capital markets space are evolving their cloud strategies and what they might mean for the industry at large.
* Refinitiv Says Goodbye TREP, Hello RTDS; Bolsters Cloud Support As the “vast majority” of customers are shifting to the cloud, Refinitiv is looking to broaden its own cloud capabilities to help customers with their transitions.
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