Synopsis: In this Techstrong AI video interview, Mike Vizard talks to Tray.ai CEO, Rich Waldron, about what is really required for enterprise organizations to operationalize generative artificial intelligence (AI).
In this Techstrong AI video series episode, Mike Vizard speaks with Rich Waldron, CEO of Tray.ai, about the challenges enterprises face when adopting generative AI. Waldron emphasizes that companies struggle with defining ROI, implementing AI projects quickly and managing budgets. Many businesses are exploring ways to consolidate existing technologies to free up resources for AI adoption. A key challenge is determining which AI capabilities to prioritize within a complex application landscape. Additionally, Waldron notes the difficulties in incorporating probabilistic AI models into deterministic workflows, and highlights the importance of careful governance and a step-by-step approach to AI implementation.
Waldron shares that successful organizations are forming internal teams with stakeholders from each department to quickly identify AI opportunities with clear ROI. He observes a trend toward using low-code platforms to integrate AI workflows, offering agility and governance without the heavy investment in building AI capabilities from scratch. Waldron also suggests that AI is driving companies to rationalize their tech stacks to better leverage data and improve efficiency. He predicts a future where more specialized AI models tailored to specific domains will become common, providing more manageable and effective solutions.
