Machine learning
Fermi’s New Paradox: If AI Analysts Are So Obvious, Where is Everybody?
UBS AM’s Bryan Cross says the goal of embedding AI in the investment process has failed because the aim has been misguided.
AML Platforms ‘Are Just Not Working’—Is Human Error or Tech the Culprit?
Technologies meant to detect and stop financial crime may add more headaches than they relieve. Others say that the best tech can't overcome how bankers use these tools. The AML dilemma likely falls somewhere in the middle.
Synechron Develops Differential Privacy Tech to Leverage Internal Data
The solutions are designed to allow firms to query data and build models more effectively without breaching global privacy rules.
China’s AI Expansion Could Shift the Fintech Balance of Power
Wei-Shen thinks about how the battle for supremacy in AI will evolve in the near future, and what the implications of China’s advances in the field might mean for Wall Street technology.
EU’s Gaia-X Project: Reaching for Digital Sovereignty
Right now, details are scarce for the project, but Jo says that even if the initiative fails to get off the ground, it marks a big step in the bloc’s effort to achieve digital sovereignty.
RavenPack Adopts 'NLP-as-a-Service' Model with Focus on Firms' Internal Data
The news sentiment and analysis specialist wants to help banks tap into the datasets they sit on every day, but don't yet possess the capabilities to use.
Waters Wrap: Goldman’s Marquee Move a Sign of Larger Industry Shift (And Refinitiv’s API Rebrand)
Anthony explores changing concept of a trading platform, and what that might mean for the future of tech development.
Wavelength Podcast Ep. 218: David Hardoon on AI's Unforeseen Challenges
David Hardoon was formerly at the Monetary Authority of Singapore and is now helping the UnionBank of the Philippines build out its AI strategy.
Goldman Sachs Takes Aim at Interoperability, Analytics with Marquee Enhancements
The bank’s recent moves signal what could become a managed services offering, as Goldman further embraces cloud, open source, and APIs.
Broadridge Onboards Clients to Corporate Bonds Platform Set to Launch Next Year
The vendor's LTX platform leverages a neural network to navigate the complexity of the corporate bond market, and is expected to launch in the first quarter of 2021.
Wavelength Podcast Ep. 217: Citi Ventures’ Victor Alexiev on Problem Solving
Victor explains how Citi Ventures—Citibank’s corporate venture arm—and the D10X program approaches challenges.
Jefferies' Quant Team Builds Chatbot For Faster Equities Trading
In minutes, JEFQuants compiles information from multiple sources into a unique data package based on traders' queries.
Waters Wrap: The M&A Market Heats Up (And Some Quantum Computing News)
What do Liquidnet and Trading Technologies (and others) have in common? Anthony explains. He also discusses advancement—and disillusionment—in the quantum space.
Wavelength Podcast Ep. 215: Bill Murphy on Innovation & Technical Debt
Bill Murphy, formerly Blackstone's CTO and now managing partner at Cresting Wave, talks technical debt, machine learning, blockchain, management strategy & more.
Science Friction: Some Tire of Waiting for Quantum’s Leap
Use cases for quantum computing are piling up—from CVA to VAR. But so are the obstacles
Wavelength Podcast Ep. 214: BNY Mellon's Hans Brown on Innovation
Hans delves into machine learning, moonshot projects, technical debt, and what has been learned during the pandemic.
RPA Provides ‘Quick Wins’, But at What Cost?
Banking experts urge firms to consider re-engineering a process before turning to robotic process automation.
Morgan Stanley, SocGen Shift Sight Line on Who's Accountable for Data
The two banks outline their ambitious data governance programs, which make business professionals culpable for their organization's data decisions.
Waters Wrap: Causal Machine Learning Represents Next Evolution of AI (Plus ESG & Innovation Issues)
Anthony looks at an interesting project using causal inference by IBM and Refinitiv, and what this latest evolution of machine learning could mean for innovation in the capital markets in the future.
IBM, Refinitiv Partner on Machine Learning Project to Better Understand Market Correlations
The two companies are in the early stages of using causal inference to help firms build machine learning models that are better able to handle disruption from events like the Covid-19 pandemic.
Banks Struggle to Manage Technical Debt When Dealing with AI, Data Science
Data scientists, IT teams, and the business professionals should work together when deploying emerging technologies and data science models. Otherwise, they may be setting themselves up to fail.
Citco Launches Data Services Platform
The fund administrator’s clients can now access multiple datasets from one data lake.
Data Poisoning: An Emerging Threat for Machine Learning Adoption
Experts from IBM and Bank of China say they're on the lookout for this emerging threat, as machine learning gains in popularity.
Data Issues Still Hamper AI—But AI Can Fix Them
Instead of waiting for data quality to be sufficient to power AI models, those at the cutting edge are building models to bridge the gaps in the data, and apply it to more sophisticated use cases.