|By Marketwired .||
|July 21, 2014 09:30 AM EDT||
TORONTO, ONTARIO -- (Marketwired) -- 07/21/14 -- Addictive Mobility, Canada's foremost Mobile Demand-Side Platform, has significantly strengthened its mobile in-app inventory over the past couple of months. "We are extremely excited to announce the new partnerships we have secured recently. Integrations with leading Supply-Side Platforms including Rubicon Project, OMAX (Opera MediaWorks Ad Exchange), AppNexus, LiveRail, and Pubmatic have given Addictive Mobility exposure to a wide range of new mobile in-app properties with which to traffic its mobile display, rich media and mobile video ad units as we head into the frenzied Q4 media buying season," explained Naveed Ahmad, CEO of Addictive Mobility.
These supply-side partnerships further strengthen Addictive Mobility's position as Canada's leading mobile DSP for both rich media and mobile video executions. Addictive Mobility's proprietary RTB platform allows the company to provide its customers with the deepest penetration of mobile in-app inventory in Canada. These new partnerships perfectly complement the inventory utilized from the company's pre-existing SSP partners that include Mopub (Twitter), Smaato and Nexage.
"The focus for Addictive Mobility this year has been to continuously differentiate ourselves from an increasingly crowded market segment. What these partnerships will come to reflect is our ability to fully leverage the state-of-the-art technology platform we have built over the past several years. We liken each of these new partners to diamond mines from which we extract the most valuable inventory with the optimization and targeting logic developed by our Data Science team," highlighted Naveed.
Addictive Mobility continues to aggressively build out its technology infrastructure with a focus on understanding mobile impression data. This ensures the persistent improvement of targeting decision-making and provides deeper analytic insights to our clients. "The more raw data we are able to analyze, the better our internal decision-making process becomes. By integrating directly with each one of these global supply-side partners, we now have the ability to track unique users across a number of mobile apps not only in Canada but worldwide. This strategy complements our continued expansion into new markets in 2014 and beyond," concluded Naveed.
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So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, will provide tips on how to be successful in large scale machine lear...
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