Sign In
Register

Partner with us

Register now

Call to action
Your text goes here. Insert your content, thoughts, or information in this space.
Button

Back to speakers

Disha
Shah
Head, Revenue Operations
webAI
I lead Revenue Operations at webAI, an AI platform that lets enterprises build local, private, AI models as an alternative to frontier models.I built and led the team that stood up our foundational tech stack, and I'm now leading our evolution to an AI-forward tooling stack. We've replaced deal desk and Salesforce modules with custom-coded apps built in-house and deployed securely and privately to the cloud. I'm also leading the modernization of our data warehouse and reporting infrastructure, swapping ETL tools like Airbyte with custom scripts and visualization tools like Tableau with LLM chatbots that chat directly with the data warehouse. Prior to webAI, I’ve led strategy, operations and analytics at tech giants like Meta, Verizon and Adobe and at smaller startups like Base CRM (acquired by Zendesk).
Button
27 October 2026 09:15 - 09:45
AI without regret: Security and privacy lessons for RevOps teams
RevOps teams are under pressure to move quickly with AI, but speed without guardrails can create significant security, privacy, and compliance risks. As AI becomes embedded across sales, marketing, customer success, and operations workflows, RevOps leaders are increasingly responsible for balancing innovation with governance. This session explores the practical security and privacy considerations every RevOps team should understand, from customer data handling and vendor risk to AI policies, permissions, and organizational accountability. Key takeaways - Identify the biggest security and privacy risks in AI-powered revenue workflows. - Build practical governance frameworks that enable innovation without creating unnecessary risk. - Understand how leading organizations balance AI adoption with customer trust and compliance.