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  The Great Data Smackdown: Buy Side vs. Sell Side Strategies Collide

  With the buy and sell sides constantly vying for the upper hand on data strategies, it can be hard to find common ground. In a heated debate at AdMonsters PubForum Scottsdale, representatives from each camp took the gloves off, trading blows over transparency, identity, and creative optimization. 

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  Winning the Click Wars: Survival Strategies in the Era of Search Decline

  Imagine a world where traditional search traffic is no longer your main tool. As search engine algorithms evolve and user behaviors shift, it’s not a distant possibility, it’s precisely the reality we face. The new focus for users is concise immediate answers over exploratory browsing (which can be time-consuming). Welcome to the era of search decline, where adaptation is no longer optional but a key to survival. 

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  Publisher Hedged Gardens Drive Higher Value for Audiences and Advertisers

  If they manage the next year well, publishers could emerge with more control over their business, stronger relationships with readers, and better deals with advertisers. Success lies in their ability to create hedged gardens, not the logged-in, ubiquitous worlds of Amazon, Google, or Meta, but differentiated by unique content, audiences, and products.

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  AI Transforms Ad Marketing with Unmatched Creativity and Impact

  As artificial intelligence reshapes the ad-marketing landscape, it revolutionizes data-driven decision-making, enhances creative processes, and paves the way for predictive analytics. In this article, Christena Garduno, CEO of Media Culture explores how AI’s integration drives efficiency and personalization while keeping the human touch at the forefront of meaningful customer interactions.

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

  The AI race is sticky and has hurdles that could trip even the most seasoned publisher. Despite regulatory and ethical hurdles, many publishers still see the tech as essential for crossing the finish line. Publishers leverage AI to streamline workflows, generate audience-relevant content, and advance their ad and rev ops goals. 

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  Inside Brand Safety Summit Day 2: Power Players, Purpose, and the Pursuit of Trust

  By integrating advanced tools, fostering inclusivity, and leading with integrity, brands, publishers, and platforms pave a path toward a safer, more impactful future. Read on for a roundup of the day’s most impactful sessions, highlighting strategies that can help you balance safety and responsibility.

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  Beyond the Firewall: 7 Bold Lessons on Brand Safety from Day 1 of Brand Safety Summit

  Brand safety should not be about throwing up a wall, it should focus on building trust in every corner of the digital media and ad tech ecosystem. Discover seven essential lessons from Brand Safety Summit Day 1, where industry leaders tackled evolving brand safety challenges, from AI-driven brand suitability to merging sustainability with ad performance.

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  DanAds’ 2024 Summit Spotlights AI & Automation 

  DanAds’ Summit 24 was an engaging one-day event packing a large punch of industry experts. Over 180 ad tech professionals gathered to explore strategies for embracing emerging technologies, network, and share best practices. The talks centered around AI, automation, and implementing self-service to enhance growth.

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  What the Tragedy of Sewell Setzer III Teaches Publishers About Using AI Chatbots

  Tragedy struck last week when a teen took his own life, leading some critics of AI to question if a Chatbot is partially responsible. Now, with Character.AI facing a wrongful death lawsuit, how much is Sewell’s death the startup’s responsibility?

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  AI, CTV and Data Collaboration Paving the Way for What’s Next

  As we move forward, the interplay of AI, CTV, and data collaboration will continue to define many aspects of our future. Embracing these changes is paramount to gaining a competitive edge and unlocking new pathways for consumer engagement and connection. The key lies in adapting to these advancements while remaining vigilant about the ethical implications of technology. By prioritizing diversity and inclusivity within AI development, we can ensure that the tools we create serve a wider audience and reflect the rich tapestry of society.

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