AI
Model Misfires Raise Questions Over Training Data
Quants wrestle with how far into the past their machine learning models should peer.
EU’s Cloud Vision Still Pie in the Sky
The supporters of a plan for a federated cloud architecture in Europe held a conference to discuss development plans, but it’s still unclear how the concept will work in practice.
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.
Banks Explore Graph Technology to Tackle Data Complexity for Compliance
Although graph technology is still in the early stages of adoption, banks such as Wells Fargo and ING have begun leveraging it to find previously unknown connections between datasets.
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.
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.
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.
.jpg.webp?h=e7339194&itok=6dimKdxT)
Citi Readies Price-Shock Detection System
Once the bot is in production, the D10X team will start scaling it beyond the oil trading team to other trading desks.
ING Leverages Graph Technology to Identify Suspicious Activity
The bank is developing its data analytics platform, Hunter, to better identify financial crime.
SmartStream Plans to Go 'Cloud Native' with Full Suite of Solutions
After two cloud-native product successes, the vendor plans to migrate all its software to cloud native to optimize the benefits of running in the cloud for clients.
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.
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.
Manulife Refines ESG Methodology and Plugs Data Gaps with NLP
The asset manager has adopted materiality tools, industry handbooks, and NLP techniques to help navigate ESG data limitations.
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.
BNY Mellon Preps Fintech Accelerator Program to ID Key Tech Solutions
The Connect20 hackathon and the Accelerator Program are designed to "industrialize" BNY Mellon's ability to identify early stage companies providing solutions to key technology and business challenges facing the firm.
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.
Wavelength Podcast Ep. 212: A Discussion About AI
An assortment of AI experts talk about various machine learning and NLP opportunities and challenges.