AI Initiatives: Demand, Challenges and Architecture (feat. David Trier)
Enterprises have a pent-up demand for AI solutions. AI agents and Agentic AI serve different roles in AI systems. Guardrails are necessary for safe AI deployment,
In this conversation, Krish Palaniappan speaks with David Trier, VP of Product at ModelOp, about the challenges enterprises face in implementing AI initiatives, particularly generative AI. They discuss the demand for AI solutions, the architecture of AI systems, and the importance of choosing the right foundation models. Dave emphasizes the need for a structured approach to AI lifecycle management and the significance of trust among different teams in an organization. The conversation also touches on the future of user interfaces, the terminology surrounding AI, and the distinction between AI agents and agent AI.
Takeaways
Enterprises have a pent-up demand for AI solutions.
Generative AI can transform various business processes.
AI implementation requires a structured approach.
Trust among teams is crucial for AI adoption.
Choosing the right foundation model is essential.
User interfaces are evolving towards conversational formats.
Guardrails are necessary for safe AI deployment.
AI agents and Agentic AI serve different roles in AI systems.
Community support is vital for technology choices.
AI is a long-term investment for enterprises.
Podcast
Transcript
Snowpal Products
Backends as Services on AWS Marketplace
Mobile Apps on App Store and Play Store
Web App
Education Platform for Learners and Course Creators