Enterprise-Grade Generative AI

Executive Event

November 5, 2024 - Los Angeles, CA

Visionaries

Jenson Crawford Eastman Kodak Company
Jenson Crawford

VP, Software Engineering

Eastman Kodak Company

Dinner

As a highly experienced software executive, I build, coach, and mentor local and global level teams of engineers to deliver great software that solves client and company challenges while adding business value. I practice servant leadership, so I work predominantly as a facilitator and process innovator so that the teams reporting to me have everything they need to be successful in their role. A big part of this includes improving pathways of communication across the business spectrum whose professions often have very different vocabularies. During my managerial experience, I have handled the financial aspects from department budgets and tracking investment costs per project, to handling capitalization of software development costs and R&D tax credits.

Duan Peng Southern Glazer's Wine and Spirits
Duan Peng

SVP, AI & ML

Southern Glazer's Wine and Spirits

Dinner

A senior AI and Data Analytics Executive with demonstrated success in data science, machine learning, AI, Generative AI, data and AI strategy, ML and AI platform, data management, data governance, and analytics across Tech, Media, and Financial Services industries. I have a strong blend of strategic and visionary thinking, business acumen, and technology leadership skills, with a proven ability to collaborate with and influence senior executives across the organization. Throughout my career, I have delivered high-impact data and AI solutions that drive digital transformation and business growth. I'm an inspirational leader, known for attracting top-tier talents, and have built high-performing data and AI teams.

November 5, 2024

Agenda

All times Pacific Time

5:30 PM-9:00 PM

Enterprise-Grade Generative AI

What’s in it for the Customers and Prospects?  While AI and GenAI are at the forefront of every leader’s mind, ​the successful adoption of enterprise-grade generative AI applications in production hinges on a robust and trusted data foundation. A strong data foundation demands scalability, data quality, seamless integration, governance, and security to ensure that generative AI applications produce relevant, accurate, trustworthy, and unbiased outcomes. Leaders who join will experience education and networking opportunities that will help them learn these topics: ​   GenAI’s promise and common pitfalls   Considerations for successful GenAI implementation in the enterprise    Requirements for AI-ready data foundation and how data can be your GenAI differentiator  Best practices for delivering Enterprise Ready GenAI at scale with Informatica & AWS

Together With