Generative AI is poised to be the next technological disruptor. Marketing hype aside, the public availability of GenAI has teams experimenting with its possibilities. It’s controversial, and it’s sparking needed conversation.

Is Generative AI at a point where it will change how companies and industries build products? Will it make our teams more productive or efficient? Is it going to replace real software engineering jobs, Will it add another layer of complication to already complex software development processes? And do teams need to have an AI strategy heading into 2024?

In this webinar, we’re joined by Nick Arcolano, Head of Research at Jellyfish, to break down the impact of Generative AI on software engineering. Nick leads a team of data scientists, researchers, and engineers with expertise in LLMs and the application of AI within Engineering Management Platforms.

Jellyfish is the pioneer Engineering Management Platform that enables engineering leaders to align engineering work with strategic business objectives. By analyzing engineering signals and contextual business data, Jellyfish provides complete visibility into engineering organizations, the work they do, and how they operate. Companies like SessionM (A Mastercard Company) and Toast use Jellyfish to optimize the allocation of engineering resources to focus their teams on what matters most to the business. Find out more: https://jellyfish.co/