Waters
Waters Wavelength Podcast Episode 7: Machine Learning, Climbing the Corporate Ladder
Dan and Anthony look at machine learning and the best way to get promoted.
Dan DeFrancesco: Know Before You Build
Why it's important to understand whom you're building for.
Anthony Malakian: Questions Abound About Machine Learning
"There’s a lot of promise in machine learning, but there are still massive unknowns and risks."
March 2016: When Is Agile Not Agile?
"Agile means different things to different organizations and some have adopted it to a greater extent than others."
Max Bowie: Data Romance Isn’t Dead; It’s Just in an Open Relationship
"The more clients you can provide access to, the more attractive a channel your platform becomes, and more third-party vendors will be willing to make their content available via your platform."
Machine Learning: Hype vs. Reality
Waters takes an in-depth look at advancements made in this field of artificial intelligence and where there's still room for advancement.
Michael Shashoua: Dogs Ate the Regulators’ Homework
Financial services firms are seeing positive news on two different regulatory fronts of late — first from the confirmed delay of the Mifid II compliance deadline and secondly from the less obvious delays in implementation of the Common Reporting Standard…
The Educator: Georgette Kiser, The Carlyle Group
Georgette Kiser learned early in her career the importance of understanding the people she builds solutions and platforms for.
Fixed Income: Electronic Evolution
The historic liquidity issues plaguing the fixed-income market have been recognized for some time and a number of trading platforms have been launched to facilitate trading, particularly within the secondary bond market.
Startups Accelerate: A Look at How the Innovation Space is Changing
Innovation doesn’t always come naturally to capital markets firms.
Dawn of the Wearables
As we enter the latter half of this decade, wearable devices will continue to evolve in sectors such as healthcare and wellness.
The Waters Weekly Wrap: February 20-26
A look back at the best content published across all the Waters brands.
Waters Wavelength Podcast Episode 6: FBI vs. Apple, LSE-Deutsche Börse Merger
Dan and Anthony talk about the Apple-FBI dispute and the potential LSE-Deutsche Börse merger.
The Waters Weekly Wrap: February 13-19
A look back at the best content published across all the Waters brands.
Sell-Side Technology Awards 2016: Entries Extended by a Week
Entries to this year's SST Awards have been extended by a week and will now close at the end of business (EST) Friday, February 26.
Waters Wavelength Podcast Episode 5: Linux Vulnerability, Bitcoin vs. Blockchain
Dan and Anthony discuss patching and the benefits of splitting up blockchain from bitcoin.
The Waters Weekly Wrap: February 8-12
A look back at the best content published across all the Waters brands.
Survey: Middle- and Back-Office Operational Efficiency
Survey investigates whether financial services firms are operating obsolete middle- and back-office platforms and how such technologies might impinge their operational robustness and efficiency.
Waters Wavelength Podcast Episode 4: Flash Crash, MiFID II, Blockchain on the Buy Side, DMMs
Dan and Anthony touch on eight different stories that broke this week in the fintech world.
The Waters Weekly Wrap: February 1-5
A look back at the best content published across all the Waters brands.
Michael Shashoua: What Last Year and This Year Can Teach Us for 2017
The lesson to be learned from 2015 is that improvements in data governance planning need to continue.
Star-Spangled Exchanges: IT Projects in 2016
As new exchanges enter the market, established bourses need to evolve in order to survive.
Waters Wavelength Podcast Episode 3: Dark Pools, SEC, Enterprise Risk
Dan and Anthony discuss the recent fines levied against dark pools and enterprise risk analytics.
Max Bowie: Seeing the Big Picture Depends on Automating the Small Stuff
Data professionals can help focus traders on higher-value, strategic tasks around market data, such as identifying new datasets and suppliers.