Databricks Co-Founder to Tackle Stalled Enterprise AI Deals at 10,000-Attendee TechCrunch Disrupt 2026
Updated
Updated · TechCrunch · May 28
Databricks Co-Founder to Tackle Stalled Enterprise AI Deals at 10,000-Attendee TechCrunch Disrupt 2026
1 articles · Updated · TechCrunch · May 28
Arsalan Tavakoli-Shiraji will use a TechCrunch Disrupt 2026 session on Oct. 13-15 in San Francisco to argue that enterprise AI deals are stalling over operational instability, not lack of interest in AI.
Many pilots fail to become full deployments because buyers fear implementation risk, governance complexity, workflow disruption, infrastructure strain, compliance exposure and loss of organizational trust.
Tavakoli-Shiraji, Databricks' SVP of field engineering, is positioned to address that shift with experience spanning McKinsey enterprise strategy work and a UC Berkeley PhD in distributed systems.
The event is expected to draw 10,000-plus founders, investors and operators across 250-plus sessions, with AI-stage programming focused on deployment, governance and scaling rather than model novelty alone.
For startups, the broader message is that durable enterprise AI revenue increasingly depends on reducing uncertainty and fitting existing systems, as buyers ask what happens after deployment and at scale.
Is the enterprise demand for 'AI governance' a genuine safety measure or a barrier protecting incumbents from disruptive startups?
As enterprises prioritize stability, can innovative AI startups still compete with the governed platforms of established tech giants?
Beyond code, what organizational change strategies are key to moving enterprise AI projects from pilot to production?