What’s Actually Working in AI Right Now?

Every organization is experimenting with AI, but what is really working? Join us at this lunchtime masterclass to run through 20 best-in-class case studies of real-world, practical AI adoption across diverse verticals.

What To Expect

• A fast-paced, insight-packed session designed for marketers, creatives, CX, growth, product and digital transformation folks looking to stay ahead.
• Get inspired by 20 cutting-edge case studies of real-world AI adoption across industries.
• Learn from peer participants how they are implementing and collaborating with stakeholders, vendors and partners in implementing AI.
• Understand how AI tools and technologies have been progressing, and what applications are now open to you.

Example Cases We Will Cover

• Content marketing / medical devices: How a single medical writer used speech to text transcription to cover 5 parallel conference sessions over 3 days. Then distribute 3000+ unique and personalized email summaries to an audience of healthcare professionals.
• Experiential / consumer: A pet food company leveraged AI to enhance low-quality photos of shelter dogs, transforming them into high-resolution ads promoting adoption. These ads were geographically optimized for online+offline and were updated on a weekly basis through a fully automated workflow, increasing adoption rates by 6x.
• Market research / b2b tech: A product manager looking to conduct user interviews used an advanced multi-turn AI voice agent to pre-qualify 120+ potential panel participants. In addition to saving a hundred hours of scheduling and interviewing, participants provided 2x more sensitive and vulnerable responses as compared to a pure text based approach. AI transcription and analysis further cut down a substantial amount of time in listening to the recordings.

Example AI Technology and Tooling Nuances We Will Cover

• Speaker diarization (being able to distinguish different speakers) was previously not possible for speech to text AI. It suddenly became possible and many different applications have opened up (such as being able to transcribe a conference panel).
• AI agents previously could not interact with the world because there were no standardized interfaces for them. Such standardization is being rapidly developed and harmonized. Flight booking platforms are now developing dedicated APIs just for AI agents.