fbpx
Transaction Data Enrichment, an Opportunity for Financial Wellness
Editor’s Note: See Pramod’s talk “Transaction Data Enrichment and Alternative Data: An Opportunity for Business Growth and Risk Mitigation” at ODSC West 2019.  In a recent financial wellness survey of American adults, 58% of respondents said they did not have the financial freedom to enjoy life. 48% said they... Read more
How AI will Disrupt the Financial Sector
Artificial intelligence thrives with data. The more data you have, the better your algorithms will be. However, just having a lot of data is not sufficient anymore. You also need high-quality data, or in the words of Peter Norvig, you need better data: “We don’t have better algorithms, we... Read more
Financial Data Modeling with RAPIDS.
A financial dataset is challenging in many ways. The data is usually anonymized to protect customers’ privacies. Sometimes even the column name of the tabular data is encoded, which can prevent feature engineering using domain knowledge. As required by financial regulation and laws, oftentimes the models must be interpretable, like logistic... Read more
How Exactly AI and Data Science Can Replace a Human in the Financial Sphere
When talking about Artificial Intelligence, most people immediately imagine armies of robots, which will definitely revolt against humanity. Yes, we are all influenced by science fiction and movies, but we should separate myths from reality. Step-by-step AI is changing the world. Is it bad or good? Should we worry... Read more
Watch: Introduction to Quant Finance with Quantiacs Toolbox
This presentation by Eric Hamer will take you through the basics of machine learning and quant finance, and illustrate how to create and test machine learning strategies using Quantiacs. The webinar covers: – An Overview of Machine Learning – The Machine Learning Process – Features of the Quantiacs toolkit... Read more
Watch: Applied Finance – The Third Culture with Steve Lawrence
What can financial analysts learn from computer scientists about data science? And can computer scientists change their approach to appeal to finance professionals? Data scientists typically argue about the relative merits of the statistical and algorithmic approaches to data mining (Leo Breiman – The Two Cultures). Anyone who has... Read more
How to invest in AI (with $50 or less)
AI is the big thing in investing right now. The internet abounds with posts about the explosive growth of machine learning and AI, with implicit (or explicit) messages trying to persuade readers to invest in some hot startup or tech. This isn’t another one of those posts. Rather, it’s... Read more
Alex Detmering of Basis Technology on The Honest Guide to AI for Risk
Financial institutions, historically, have had enough to worry about. With new technology disrupting the industry at an exponential rate, and more variables coming into play constantly, what FIs need is a little something to help sort through the mass amounts of data. Enter Basis Technology – a company whose... Read more
Crypto Regulations: How ICO Regulations Differ Across the Globe
For those of you who have been reading my recent articles, I have been focussing my attention on the necessity of regulations in the crypto world. The number of scams among ICOs seems to be growing and on a daily basis, I receive invitations to join another ICO as an ‘advisor’. I... Read more
The Compression of the Hype Cycle
I spend a lot of time thinking about hype cycles, across industries (Big Data/AI, IoT) and ecosystems (New York). Whether you use the Carlota Perez surge cycle (see this great Fred Wilson post) or the Gartner version, hype cycles convey the fundamental idea that technology markets don’t develop linearly, but instead go through phases... Read more