In November 2023, OpenAI released ChatGPT to the public, sparking excitement for its potential to generate content without human intervention. However, news organizations faced mixed results due to generative AI's tendency to hallucinate. Publishers voiced concerns about large language models (LLMs) using their content without compensation. Despite this, the AdOps team found generative AI transformative, with AdMonsters exploring its applications across organizations.

AdOps + Generative AI: A Perfect Match

AdOps professionals are actively integrating generative AI into their workflow, leveraging their tech-savvy skills to mitigate pitfalls. Proficient in prompt engineering, they query LLM tools effectively for tasks like generating code or creating personalized emails. AdOps teams prioritize accuracy, heeding warnings against incorrect information in the prompt bar. This proactive approach ensures successful utilization of generative AI.

Elevating the AdOps Team

Generative AI enables AdOps to streamline tasks, freeing up time for strategic thinking. Teams use AI to gain insights from campaign data, troubleshoot ad issues, and create templates. Moreover, they employ AI to develop training resources for new hires. Unexpectedly, AdOps teams use AI to enhance communication skills, making interactions with colleagues and clients more human, relatable, and empathetic. This novel use of AI highlights its versatility.

An Omnivore Approach to Generative AI Tools

AdOps teams adopt an omnivore approach, utilizing various AI tools such as ChatGPT, Gemini, Claud.ai, and Perplexity.ai. Interviewees highlight the subtle differences between tools, considering factors like the last training date and the most recent data. They share tips for optimizing these tools, promising valuable insights in the upcoming Publisher Pulse series.

The AdOps Team of the Future

While generative AI faces skepticism, it undeniably transforms the AdOps team. Jared Collett, Sr. Director of Ad Operations and Analytics at Major League Fishing, attests to the reduction of mundane tasks, allowing teams to focus on revenue growth and product development. Generative AI emerges as a valuable assistant, empowering AdOps to be more proactive and deliver enhanced services to clients.