Self-supervised learning is at the heart of generative AI, and it’s perfectly suited to address the signal loss we’re increasingly facing in digital advertising today.
Former physicist Melinda Han Williams used to spend her time studying “electronic transport in nanostructured graphene devices.” These days, as chief data scientist at Dstillery, she’s creating identifier-free solutions to transport us past the end of third-party cookies.
“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Melinda Han Williams, Chief Data Scientist, Dstillery. Google’s announcement that its “data-driven attribution” – that its machine-learning-driven attribution modeling will be the default attribution method in Google Ads – took […]
“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Melinda Han Williams, Chief Data Scientist at Dstillery. There’s been a great deal of hand-wringing over the future of identity in digital advertising. Google Chrome’s plan to retire third-party cookies […]
