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?

Join Thorogood on 20th March for a webinar that will provide 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