Since joining RavenPack in 2008, Peter Hafez, Chief Data Scientist, has been a pioneer in the field of applied news analytics, bringing alternative data insights to the world’s top banks and hedge funds. Here he answers our questions on the prospects for the alt data market and RavenPack’s latest innovations. What do you think are […]
Titans of industry, such as global insurance brokerage Marsh and Aon, have already recognized the potential in blockchain and now, more companies are jumping on board to push the application of the technology in insurance even further. Read more about it…
Insurer Bankers Financial wins a CIO 100 award for a new system that helps sales agents generate more accurate quotes that customers are more likely to accept. Read More
Stanford University’s Susa Athey will describe the application of these techniques to advertiser behavior in sponsored search advertising auctions, focusing on how the models can be used for marketplace design and management Watch Video
We’ve been hearing about Data Science as a Service (DSaaS). It can be a good option, based on your company’s needs and the shortage of talented, experienced Data Scientists. Serial Metrics is one such company making an impact.
Here are (4) data science solution Case Studies from Serial Metric’s clients : EventBrite, AAA, Sycle, and Waypoint Real Estate Group Read More…
How do we detect fraud more quickly? Why are we losing customers? Which is the next best product to offer? The answers to these questions and more are in reach. But for financial services companies they are hiding in a mountain of data. Analytics can help. Watch Video
Wall Street Traders have long used algorithm to beat the market, but “big data” sets for testing strategies was often hard to come by. Now with emerging technologies such as Hadoop, NoSQL and Storm, traders and investment gurus (Financial Analysts) can dip into non-traditional data sets that previously weren’t accessible. Read More…
Recruitment for data scientists remains in “its infancy” within the banking sector, according to Robert Grant, sales director, at banking technology recruiters Cititec. “Some banks are reacting more quickly than others, but some still don’t appear to have a strategy to manage Big Data in place, whilst others have a clearly defined plan of action which they are engaging with,” he said.
“Banks typically do not react as quickly as other industries. They are like oil tankers, but then all of a sudden there will be a burst and demand will kick in. We saw this with Scala, for example.”
August 15th, 2013 By Lisa Sensmeier This guest post from Sofia Parfenovich, Data Scientist at Altoros Systems, a big data specialist and a Hortonworks System Integrator partner. Sofia explains how one of its data scientists optimized a customer’s trading solution by using Apache Hadoop and by clustering stock data. Automated trading solutions are widely used by investors, banks, funds, and […]