Over the last 2 years the capabilities of LLM have been developing at a rapid pace and R&D organizations in almost every industry are expected to determine their "AI strategy" while balancing existing non-AI customer needs and a tighter financial environment. For some, recent AI developments might even pose a disruptive shift for their products and company, but how do you balance rapid prototyping and exploration of these disruptive technologies with catering to your current user base to avoid the Innovator's Dilemma? Should you add AI to every product team's roadmap or form a dedicated AI team? How do you experiment with entirely new AI endeavors without risking your current customer base? In other words, how do you cook with fire without burning down the kitchen?

In this discussion round, Dominik Kundel will share how Twilio has been tackling some of these challenges, their learnings and what changes/iterations they have been going through to address those learnings, followed by an open discussion for others to share their learnings.