Normal model town

PlaceIQ

New York, NY www.placeiq.com
   
 
   
 

About PlaceIQ Engineering

PlaceIQ is able to take large amounts of often unstructured, unrelated, location based data such as photos, place data, event data, digital and social data (and much, much more) and – through a series of processes of data cleansing, normalization, analysis, and machine learning – extract patterns, trends, intelligence and context from the data.

Technology Focus
Small jeff picard Jeffrey Picard on

Solving an Ad Tech Machine Learning Problem Using Clustering and Viterbi

Understanding the billions of data points we ingest each month is no easy task. Through the development of models that allow us to do so, we’ve noticed some commonalities in the process of converting raw data to real-world understanding. Although you can get pretty good results with simple models and algorithms, digging beyond the obvious abstractions and using more sophisticated methods requires a lot of effort. In school we often learn different techniques and algorithms in isolation, with neatly fitted input sets, and study their properties. In the real world, however, especially the world of location data, we often need to combine these approaches in novel ways in order to yield usable results.

In this article we look at the process of understanding the importance of different locations as they relate to consumers, which takes us from simple joins in Hadoop to a sophisticated time-series algorithm called Viterbi.

Small steve milton Steve Milton on

Why Engineering Leaders Need to Lead With Speed

"You can't build it right the first time. Don't try. Look at the problems that are going to be in front of you in the next 12 months. Pick tools and capabilities that will allow you to be successful. Live to fight another day." - Steve Milton

In this fireside chat delivered at CTO School, Steve offers meaningful advice to engineers who aspire to be CTOs at high-growth and innovative startups. Engineers who aspire to be leaders in these challenging environments have to understand how to build software in the face of uncertainty, foster collaboration between teams that are moving unbelievably fast, store and analyze increasing volumes of data, and understand how software fits in the larger challenge of building a business that people love.

Steve is currently Co-founder & CTO at PlaceIQ, one of NY's fastest growing startups. He has been building technologies and leading teams for over 20 years (you'll enjoy his stories from the "pre-Internet" days).

45:07

This talk was delivered at a CTO School meetup hosted by Pivotal in NYC.

 

Join Us