News & Insight

Podcast: Nate Woodman Speaks with AdExchanger about Proprietary Machine-Learning Models

According to Nate Woodman, GM of demand solutions at IPONWEB, the deployment of brand data in the media-buying arena is at an early stage. His pet thesis: Now that CRM activation in programmatic is common, the next challenge will be the development of proprietary machine-learning models that are owned and controlled by brands.

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January 5th, 2017

ATS NYC 2016: First-Party Machine Learning in Programmatic

At ATS New York 2016, Nathan Woodman, General Manager of Demand Solutions at IPONWEB, delivered a keynote speech on the topic of first-party machine learning in programmatic, with a request to the industry: can we create a framework for ‘Open Machine Learning’?

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December 28th, 2016

TV Industry Increasingly Sees Programmatic as a Way to Exploit Digital’s Weaknesses on Fraud and Viewability

IPONWEB’s Scott Halpert speaks to VideoAdNews about viewability and fraud in the programmatic ecosystem and how TV can use these challenges as an opportunity.

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October 5th, 2016

Lessons In Measurement And Attribution From World War II

During World War II, Allied bomber planes faced a critical design problem. They were slow, lumbering and constantly shot down. The bombers needed to be reinforced with armor, but covering an entire plane made it too heavy to successfully fly a mission. Reinforcing them only in their most vulnerable areas, however, could solve this challenge.

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October 3rd, 2016