AI In The Enterprise: AI Strategies That Create Value
Key Takeaways:- Understand the people, process, and technology components of an AI strategy.
- Learn how to align AI strategy with data strategy to maximize impact.
- Discover best practices for overcoming challenges and measuring success in AI initiatives.
Description
Developing an AI strategy that creates measurable value is a complex task requiring alignment across people, processes, and technology. Without a clear approach, organizations can struggle to navigate challenges, engage the right stakeholders, and link their AI strategy to broader data and business goals. Understanding the key components and best practices is essential for AI engineers and leaders driving these initiatives.
In this first webinar of the “AI in the Enterprise” series, Lexi Reese, CEO & Co-founder at Lanai, Krunal Patel, Chief Product Officer & Co-Founder at Bordo AI, and Giuliano Giacaglia, Director of Engineering at Trancend, will explore what makes an AI strategy successful. You’ll learn about the critical roles involved in AI strategy, the common challenges and pitfalls, and how to align AI strategy with your organization’s data strategy. They will also discuss how to measure the success of your AI initiatives to ensure they drive real business value.
Presenter Bio
Lexi is building Lanai, an empowerment platform for human-Gen AI collaboration. She has two decades experience in technology leadership. Lexi ran for United States Senate Candidate for the State of California in 2023-24. Previously, she was Executive In Residence at General Catalyse, Chief Operating Officer at Gusto, and VP of Global Programmatic Platforms at Google.
Krunal is building AI decision engine for financial firms to help them monetize data. He has 20 years of experience in product and engineering, and he's a two-time AI startup founder. His work focuses on strategic product vision and roadmap development, and leveraging AI, ML, and cloud computing technologies. Previously, he was CEO and Co-founder at Oncamp.io, Engineering Director for Science at the Chan-Zuckerberg Foundation, and VP of Product Engineering at Saama.
Giuliano runs the engineering department at privacy platform Transcend. He has a decade of experience building machine learning and AI into software products. Giuliano is the author of "Making Things Think: How AI and Deep Learning Power the Products We Use". Previously, he founded social platform WiGo, was a software developer at Bluecore, Wayfair, and Facebook, and was a researcher at MIT.