With AI on the rise, engineering leaders are increasingly being challenged to embed AI in key areas of their organization to enhance productivity and minimize repetitive work. At the enterprise level, this raises a slew of important questions: How do we effectively integrate with our network legacy systems? How do we maintain data governance across so many tools? How can we use AI at scale without drastically increasing our compute budget?
Join us in San Francisco to network with fellow engineering leaders who are navigating these challenges and developing innovative, impactful solutions at their organizations. We'll discuss key topics like:
- Choosing use cases for AI Apps and Agents: A key point when integrating AI into your organization is knowing where to start - how do you choose the use cases to tackle first so that you can immediately gain traction and create impact, rather than ending up with a set of ineffective, under-utilized tools?
- Dealing with data integration challenges: Building effective models often means connecting disjointed, occasionally stale data and consolidating it into something usable by agents - what safeguards and frameworks are crucial to achieving this at the enterprise level without creating hallucinations, security breaches, or erroneous models?
- Avoiding common pitfalls when integrating AI at the enterprise level: What are common missteps you can take when working at the enterprise level that might not be as relevant to smaller organizations? How do you manage potential bottlenecks like high resource costs, compliance requirements, ethical issues, or even setting expectations with senior management?
This invite-only event offers innovative engineering leaders facing some of the most complex problems in tech a chance to connect, learn from one another, and get ahead in this new and rapidly changing industry.
We look forward to seeing you there！
Questions? Contact [email protected]
