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
Data and the Future of Value
How to value data as an asset istorically, companies have pursued the dollar as a measure of value in the pursuit of shareholder value. Cash flow, profits, and asset values are all about dollars. I think an additional set of measurements can be added to the mix around the value of... Read more
Not only is Machine Learning earning specialists a good salary, but algorithms are being used to make money. It is gaining notoriety for solving just about any problem, dramatically improving technology, breaking barriers, and even worrying some of us. Making money via machine learning tends to revolve around the... Read more
A few months ago, Foursquare achieved an impressive feat by predicting, ahead of official company results, that Chipotle’s Q1 2016 sales would be down nearly 30%. Because it captures geo-location data from both check-ins and visits through its apps, Foursquare was able to extrapolate foot-traffic stats that turned out... Read more
Insurance Companies Will Shape the Future of Cyber Security
For too long, vendors have capitalized on industry fear of breaches to sell confusing products that may or may not provide value. But fanning the flames of cyber hysteria has started to backfire. Companies now consider potential losses from a cyber breach as a cost of doing business. CFOs... Read more
Which customers are more likely to respond to banks’ marketing campaigns?
A quick demonstration on business consulting with data science Audience The intended audience for this blog post is marketers who have read the earlier post on 5-step data science consulting framework, and are keen to learn more about the actual implementation of such projects. We will be using the caret package in R as a... Read more