Google launches confidential matching for data privacy

Google today announced confidential matching, a new privacy-first solution that lets you securely connect your first-party data for audience targeting and campaign measurement, leveraging confidential computing technology. Confidential computing uses Trusted Execution Environments (TEEs) to protect data during processing, ensuring no one — not even Google — can access the information. Why we care. As…

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The reality behind content marketing and AI

According to Deloitte Digital’s newly released research, 26% of surveyed marketers already use generative AI for marketing content production, with another 45% planning to implement it by 2024. Will you be one of them, or are you still wondering if GenAI is for you? Join Deloitte Digital’s Todd Brownrout and Jenny Kelly to hear more…

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5 behavioral strategies to test

SEO and PPC professionals are all in the business of driving more traffic to websites. But are you getting the most out of the visitors you already have? This is a critical question. And, often, the answer is “no.”  A solid search marketing strategy requires a customer experience plan as its core. Even if customer…

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Bing On Holiday Lockdown – Slows Releases

Microsoft is currently on a holiday lockdown for Bing, Copilot, formerly known as Bing Chat. Mikhail Parakhin, the CEO, Advertising and Web Services at Microsoft, wrote on X, “Holiday lockdown doesn’t help (we reduce production changes at this period, because so many people are on vacation).” This is not uncommon, most companies do not want…

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Keeping up with the fluidity of the modern consumer

Humanity’s relationship with digital media is changing at an extraordinary pace. In 2021, adults in the United States were already spending an average of 485 minutes a day with digital media. That is over eight hours every day. 31% of U.S. adults claimed they go online “almost constantly” based on a survey from the Pew…

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Meet MMMU: A New AI Benchmark for Expert-Level Multimodal Challenges Paving the Path to Artificial General Intelligence

  Multimodal pre-training advancements address diverse tasks, exemplified by models like LXMERT, UNITER, VinVL, Oscar, VilBert, and VLP. Models such as FLAN-T5, Vicuna, LLaVA, and more enhance instruction-following capabilities. Others like Flamingo, OpenFlamingo, Otter, and MetaVL explore in-context learning. While benchmarks like VQA focus on perception, MMMU stands out by demanding expert-level knowledge and deliberate…

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