- panel - Technical Track - Developer Experience
From Sandbox to Production: Making AI Work in Regulated Enterprises
Wednesday 15th October 2025 • 2:40 PM - 3:10 PMBig tech,Financial services, healthcare, telecom, and other regulated industries are all in a race by their CEOs to harness AI’s potential while staying compliant, secure, and resilient. But what does it actually take to move from experimentation to enterprise-grade AI in these environments? Is there even a NoCode version of production that is possible?
This panel brings together leaders with deep experience across working with AI in organizations to explore the realities of building AI capability “for the rest of us”.
Panelists will share lessons learned from deploying AI in highly regulated contexts, covering everything foundational building blocks of secure AI ecosystems, to managing third-party tools, addressing data leakage, and balancing innovation with governance.
If you’re wrestling with how to responsibly build, scale, and govern AI beyond the hype, this session should leave you with practical insights and a clearer path forward.
About Parinita Kothari
Parinita is a results driven Engineering Lead with a track record of building and scaling cloud platforms that power data, AI, and digital transformation at enterprise scale.
as Engineering Lead at Lloyds Banking Group she is focussed on secure, scalable, and self serve infrastructure for data engineering, business intelligence, analytics, MLOps, and Gen AI use cases across the organisation.
Parinita brings strong blend of technical depth, leadership maturity, and business acumen. Fostering a culture of curiosity, ownership, and continuous improvement, and taking pride in mentoring the next generation of engineering talent.