Live Webinar Series
AI in The Enterprise
Understand the people, process, and technological components of an AI strategy, explore how to build AI literacy across your entire organization and much more.
- Learn how to align AI strategy with data strategy to maximize impact
- Discover best practices for overcoming challenges and measuring success in AI initiatives
- Discover which AI skills and roles are essential for organizational succes
- Understand the people, process, and technology factors critical to productionizing AI
What's covered in the series
Developing an AI strategy that creates measurable value is a complex task requiring alignment across people, processes, and technology Join us for a three-part webinar series offering practical, hands-on guidance for those working with AI in enterprise. Learn the following:
- Best practices for overcoming challenges and measuring success in AI initiatives
- Explore how to build AI literacy across your entire organization
- Strategies for balancing speed, performance, and cost, and measuring AI product success.
AI Strategies That Create Value
Without a clear approach in their AI strategy, organizations can struggle to navigate challenges, engage the right stakeholders, and link their AI strategy to broader data and business goals. Join Lexi Reese, Krunal Patel, and Giuliano Giacaglia, as they explore what makes an AI strategy successful.
- 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.
Developing AI Talent
Building a strong AI talent pipeline is crucial , from hiring the right talent to upskilling your current workforce, AI leaders face unique challenges in ensuring their teams have the skills to drive innovation. In the second session, join Damien Herrick, Ita Petrika-Lindroos, and Thomas Bodenski, as they discuss strategies for developing AI talent.
- Discover which AI skills and roles are essential for organizational success.
- Learn strategies for attracting, upskilling, and reskilling AI talent.
- Explore how to build AI literacy across your entire organization.
From Prototype to Production
Taking AI applications from prototype to production is one of the most challenging yet rewarding aspects of enterprise. In the third and final session, join Aishwarya Naresh Reganti, Supreet Kaur, and Luke Jinu Kim, as they detail how to navigate the journey from AI prototypes to production-ready applications.
- Learn how to address the biggest challenges in building and deploying generative AI applications.
- Understand the people, process, and technology factors critical to productionizing AI.
- Explore strategies for balancing speed, performance, and cost, and measuring AI product success.
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