About this session

As AI agents evolve into autonomous knowledge workers, enterprise IT leaders are exploring how to accelerate B2B market research by generating high-quality strategic insights faster. This session examines how organizations use AI agents to automate research, synthesize global information, and support strategic decision-making. It explores research architectures, including agent orchestration, model selection, quality assurance, and enterprise integration.

The discussion also compares frontier AI models such as OpenAI Codex and Anthropic Opus, highlighting their strengths, limitations, and complementary use cases. Finally, participants will explore how to access, process, and validate large volumes of multilingual information while maintaining confidence in AI-generated insights through scalable quality assurance.

Discussion Points:
- How can AI agents fundamentally transform enterprise B2B market research beyond incremental productivity gains?
- In which scenarios do OpenAI Codex and Anthropic Opus each deliver the greatest value, and how should organizations decide between them?
- What approaches are most effective for validating AI-generated insights and implementing automated quality assurance at scale?

Be prepared to share your experiences in this exclusive small gathering.
About the discussion:
• For leaders from automative, pharmacy, and other high tech industries responsible for AI strategy, innovation, competitive intelligence or other knowledge-intensive business processes.
• In English

We have only 10 spots, so be quick to sign up!
If you cannot make it, make sure to cancel to give space for others.
*What is a Hosted Group Discussion?
• A 1-time, 1-hour session led by an Aurora Live Network member.
• The host chooses a topic they are passionate about and have experience in, and begins with a presentation designed to spark a meaningful conversation.
• The purpose of the session is to exchange ideas, and personal experiences in an open environment.