Pinterest's AI-Driven Visual Search and Personalization Strategy
Pinterest has launched a multimodal AI model that improves visual search relevancy by 30% over off-the-shelf models, currently live for women's fashion.
The company has introduced a proprietary generative retrieval model trained on user activity and the taste graph, enhancing personalized content recommendations.
AI integration across Pinterest's platform has resulted in a 230 basis point lift in search fulfillment rate year-to-date, indicating more relevant search results.
Pinterest leverages large language models to process complex conversational queries, improving content recommendations and user engagement.
The company views itself as an AI-enabled shopping assistant, deeply embedding AI into its core operations to meet user needs.
AI Integration for User Experience and Operational Efficiency
DoorDash's engineering team is actively exploring large AI models to enhance search, recommendation systems, and personalization, aiming to improve user experience.
Management sees AI as a transformative technology that can reimagine product design, onboarding processes, and physical operations, with pragmatic benefits expected in the next 6-12 months.
AI is also being used to automate repetitive physical activities like inventory management and menu creation, increasing quality and fidelity.
Large language models are improving internal productivity, especially in coding, and are expected to be adopted across various functions to build a more efficient organization.
DoorDash's early recognition of AI's potential, similar to cloud computing's impact in 2013, positions it to leverage AI for both customer engagement and operational cost savings.
Yelp is rolling out AI-powered updates, including Yelp Assistant, which is progressing towards full category launch.
Yelp Assistant's project flow increased by over 400% year-over-year, indicating strong user engagement and momentum.
Early testing of Yelp Host, an AI call answering service for restaurants, shows promising results, with plans to test Yelp Receptionist later in the year.
Management emphasizes the importance of expanding AI features to logged-out users to increase overall engagement and stickiness.
Yelp is integrating AI into multiple touchpoints to transform consumer interaction and improve service pro management.
The company sees AI as a key driver for future growth, aiming to make local business connections more seamless and efficient.
Vimeo's Strategic Focus on AI-Driven Video Solutions and Agentic AI Development
Vimeo is actively testing Agentic AI features that enable natural language querying of video libraries, aiming to make Vimeo akin to 'ChatGPT for Vimeo'.
Potential applications include customer support, healthcare, onboarding, and content summarization.
Management emphasizes the importance of AI in maintaining pace with competitors and enhancing user experience, with a focus on making video interaction more intuitive and efficient.
ON24's AI strategy focuses on transforming single digital events into omnichannel, global campaigns, enabling personalized, scalable content creation from each live event.
The platform automatically repurposes long-form webinars into transcripts, blog posts, short videos, and social content, enhancing content reach and engagement.
Multi-language translation capabilities allow webinars to be localized into 64 languages, expanding global reach and making content more discoverable in AI search and large language models.
Dafinchi