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Hey Circle, “Is AI Going to Steal Ad Ops and Rev Ops Jobs?”

Ad Monsters

Is this a reality that ad ops and rev op professionals should consider for the near future? How would an AI handle an ad or rev ops role? Through machine learning, brands identify potential purchasers based on demographics and past behaviors, optimizing ad placement for efficacy.

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How Publishers Are Using AI Tools To Achieve Their Ad And Rev Ops Goals

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.” He explained that having all information searchable and summarized in one place better prepares sales teams for client interactions, assists marketing with presentations, and equips ad ops with resources for wrap reports and similar tasks. AI tools like this have massive potential to transform ad ops.

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Deep learning vs. machine learning

Ad Ops Hero

In the fast-paced world of artificial intelligence, there is an ongoing revolution that keeps tech enthusiasts intrigued: the showdown between Deep Learning and Machine Learning. If Machine Learning is a versatile tool, then Deep Learning is a Swiss Army knife.

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How Can Ad Ops and New Media Players Eliminate Inefficiencies?

Ad Monsters

For some reason, publishers have slowly adopted new ad ops methods. Many of the processes in current and long-standing ad ops workflows are heavily manual, like audience targeting, campaign set-up, optimization, and data analysis, to name a few. This doesn’t feel like it’s setting ad ops teams up for success.

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LinkedIn Live Replay: The Future of Ad Ops According to Snopes’ Justin Wohl

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As publishers strive to future-proof their businesses, Snopes’ Chief Revenue Officer, Justin Wohl, offers insights on the dynamics between buyers and sellers, the impact of AI on ad ops, and future-proofing your ad tech stack. But he heeds a warning about Google’s trial with the DOJ.

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What is AIOps?

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AIOPs Explained AIOps stands for artificial intelligence for IT operations and describes the use of big data, analytics, and machine learning that IT teams can use to predict, quickly respond to, or even prevent network outages. Machine learning – Algorithms with the ability to learn about and adapt to changes in the environment.

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Rethinking Brand Safety: Lessons from Jana Meron on News Advertising in 2024

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She explained how The Washington Post uses AI and machine learning to analyze context, sentiment, and risk level of news content — creating a nuanced taxonomy allowing advertisers to set their omfort levels. AI and machine learning can understand the context of news, including sentiment and bias.