AI adoption is no longer a question of if but how. The leading cloud and technology vendors are competing and investing, and with so many options—open-source or proprietary offerings, customized or pre-built models— how do you choose the right path? And beyond these model decisions, what roles do cost, skills, security, and long-term scalability play in selecting an AI offering and crafting an AI strategy?

Watch this recorded video that provides an independent perspective and break down the practical considerations that enterprise organizations must weigh when integrating AI solutions into their data strategy, grounded in real-world experience.

What We Cover:

• Open-source vs. proprietary AI models: flexibility, ease of adoption, and cost
• Pre-built vs. customized AI models: complexity, specificity, and ROI
• Security, governance, and compliance challenges in AI adoption
• Considering ongoing performance and scalability of AI solutions
• Ensuring that an organization’s skills align with the AI roadmap
• All grounded in real-world use-cases & experience

Is This For You?

• AI & Data Leaders making enterprise AI investment decisions
• Data teams implementing AI-powered workflows
• IT & Security teams managing AI risk and governance
• Business executives evaluating AI’s role in data-driven operations