Analytics Blog

Category: Data Science

Integrating with Financial Data Providers

In some of our routine customer engagements with the financial services industry, a question we repeatedly face is around the difficulty of integrating analytics platforms like Alpine with industry-standard data providers such as Thomson Reuters, Bloomberg, FactSet or Quandl. Often enough, this sparks a follow-up question on integrating the Alpine platform with third-party external APIs…. Read more »


Machine learning: clustering and classification on the campaign trail

*this post originally appeared in Computerworld* Discovering and targeting micro-populations for politics and profit As the election season rampages on, we categorize voters into broad demographics — soccer moms, NASCAR dads, blacks, whites, ALICEs, yuppies — in an attempt to understand and discuss this complex, churning electorate. In doing so we’re tapping into something fundamental about… Read more »


Putting deep learning to work

*this post originally appeared in Computerworld* Hype aside, deep learning can open up new sources of data for business analysis After demonstrating discontinuous jumps in image recognition performance and defeating Korean grandmaster Lee Se-dol at Go, a game long resistant to computer mastery, deep learning has kicked up a swirling cloud of hype. And controversy…. Read more »


A Conversation about Data Science with UC Berkeley

Earlier this month, we were invited by the UC Berkeley School of Information to host a conversation on the real-world applications of data science. It was an honor to be invited and we were happy to host what turned out to be their most popular webinar yet. A worry of any presenter is reaching the… Read more »


Enterprise Scale Topological Data Analysis Using Spark

Last week I had the opportunity to speak at Spark Summit in San Francisco. It was great to learn about how different businesses are utilizing Spark to meet their needs and the speed at which Spark has been evolving. Spark has become one of the most powerful open source processing engines and I was able… Read more »