The Turing Marketer Weekly - 24th Ed.
Week 38 - 2024
Welcome to the 24th edition of The Turing Marketer - where we delve into the transformative role of Generative AI in the marketing landscape, examining its implications for ad agencies, innovative AI-driven marketing tools, and strategic insights from industry leaders.
Estimated reading time (at 200wpm): 4 minutes; Estimated time saved: 40 minutes
We continue our special addition this week! We converted the content into an audio podcast.
Please enjoy and let us know what you think!
A. AI NEWS Summaries
eMarketer - Amazon Quietly Brings Ads to its GenAI Search Engine Rufus
Amazon has introduced sponsored ads into Rufus, its generative AI-powered search engine, in a low-profile manner, expanding its core advertising format within the AI space.
Rufus is trained on Amazon's product catalog and can assist in product comparisons, research, and personalized recommendations for consumers.
The ads will be contextually generated based on user queries, but Amazon hasn't revealed the appearance or details of how they will be presented.
Amazon will not include metrics for Rufus campaigns in the reports provided to advertisers, signaling an early experimental phase.
Swipe Insight - How Marketers Can Implement AI: Automate, Augment, Analyze
Jim Lecinski, a marketing professor at Northwestern University, explains how marketers can leverage AI using the "3 A's" framework: automate, augment, and analyze. This approach helps marketers focus on high-value tasks and data-driven decisions while enhancing creativity and personalization.
Automation handles routine tasks like customer service, freeing marketers for strategic work.
Augmentation enhances creativity and personalization, improving customer experiences.
AI analysis uncovers insights from data, optimizing decision-making and campaign effectiveness.
Adweek - Aryel launches GenAI solution to optimize media planning and generate personalized ads
Aryel, an Italian AdTech scale-up, has introduced Sonar™, a Generative AI-powered tool designed to help media planners optimize advertising budgets and create personalized ad campaigns. By using AI-driven insights, Sonar™ enhances ad targeting and media planning.
Sonar™ uses AI insights to analyze emotional and behavioral data, allowing for more personalized and targeted ad campaigns.
The tool creates media investment strategies based on campaign goals, optimizing ad spending and boosting ROI.
Sonar™ integrates augmented reality with programmatic distribution for immersive ad experiences.
The Drum - Adobe’s new text-to-video AI model avoids licensing pitfalls, upping marketers’ confidence
Adobe has announced the upcoming release of its Firefly Video Model, designed to generate AI-powered videos while avoiding licensing issues by training on Adobe’s proprietary content, a key advantage for marketers.
Adobe's Firefly Video Model can generate five-second clips from text prompts and is trained solely on licensed content, reducing concerns over intellectual property.
Marketers are optimistic about the tool’s potential, particularly for generating videos for high-volume campaigns, as it integrates well with Adobe's existing suite.
The model's ability to generate natural world scenes and provide advanced camera controls expands creative possibilities for video editors.
B. Marketing x GenAI on Social media
AI in AdTech (LinkedIn)
LinkedIn - Meet ViantAI: The world's first fully autonomous ad platform.
C. Marketing x GenAI Product Launches
Google - Google Vids
Google - NotebookLM now lets you listen to a conversation about your sources
Google has introduced a new feature called Audio Overview for its NotebookLM tool, which allows users to convert documents, slides, and other materials into interactive audio discussions.
Audio Overview generates discussions between two AI hosts who summarize and connect topics based on uploaded sources.
Users can easily create these discussions with one click and download them for offline listening.
While the feature is experimental, it provides an engaging, auditory way to review materials, though it currently has some limitations, including occasional inaccuracies.
OpenAI - Learning to Reason with LLMs
OpenAI has unveiled "o1", a new large language model designed to handle complex reasoning, building on prior models like GPT-4o. Trained using reinforcement learning, o1 is designed to "think before answering," generating an internal chain of thought before responding to user queries.
o1 ranks in the 89th percentile on competitive programming and excels in math and science benchmarks.
Reinforcement learning significantly improves o1's reasoning, making it better at handling test-time compute compared to earlier models.
o1 has shown superior performance on reasoning-heavy tasks like math, coding, and science, outperforming GPT-4o on most benchmarks.
D. The Fun Corner
YouTube - DMEXCO Anthem: The Ultimate AdTech Groove in Cologne!
That’s all for now. See you next week!