The future of AI starts with trusted data.
AI is only as good as the data it can securely reach. Ranga Bodla of NetSuite sits down for a fireside chat on trusted data, open standards like MCP, and wiring AI into the systems where the work actually happens.
One live session. The recording goes to everyone who registers.
Meet the speakers.
A fireside chat led by NetSuite's Ranga Bodla. A few more voices are joining him, announced soon.
Leads field marketing and engagement at NetSuite, Oracle's cloud ERP suite. He works with finance and IT leaders on how AI connects to the systems that run the business, and what a trusted data foundation actually takes.
Ranga sits down for an open conversation on trusted data and AI. A few more people are joining him on stage, announced soon.
AI is only as good as the data it can securely reach.
Picture the three conversations already on your calendar.
Your team wants to point AI at the data inside your ERP.
Security wants to know exactly how those tools connect to core systems.
The board wants an AI plan that won't need re-platforming in a year.
Most AI advice starts with the model. But the pilot rarely stalls on the model. It stalls on the data underneath it, and on how tools are allowed to reach the systems where the work lives.
This session starts there. Ranga Bodla gets into what a trusted data foundation takes, how open standards like the Model Context Protocol connect AI to business systems securely, and how NetSuite's AI Connector fits, without giving up governance or choice.
What you'll walk out with.
An hour on the foundation under your AI initiatives, not the demo on top of it.
A trusted data foundation
What it takes to make AI initiatives reliable: data that's clean, governed, and connected to the source of truth.
How MCP actually works
Why open standards like the Model Context Protocol let AI tools connect to business systems securely.
Innovation without losing control
How to move fast on AI while holding the line on governance, security, and flexibility.
An AI strategy that lasts
How to build a plan that evolves with the business instead of getting rebuilt every time the tech shifts.
Where NetSuite's AI Connector fits
How it supports this approach and puts more of your business data to work as AI keeps changing.
Real examples, not theory
How all of this shows up in a real business, with practical examples, not just a diagram on a slide.
For the people who own the data and the AI call.
You'll see how a trusted data foundation, open standards, and governance come together, and what that means for the systems your team already runs on.
If you decide how AI touches the source of truth, and you're the one who has to defend it, this is your seat.
Own the data and the decision? Take the seat.
Save my spot →The quick questions.
Both. Register once and join live on August 20 at 1:00 PM ET (10:00 AM PT). If the timing doesn't work, the recording lands in your inbox right after the session, with the same access link.
A fireside chat with Ranga Bodla of NetSuite. A few more speakers are joining the conversation, announced soon. Live Q&A at the end.
It's free to attend live and free to watch on demand.
Yes. You'll see how the AI Connector fits a trusted-data approach, connecting AI to your business systems while keeping governance and choice, alongside real examples of how it plays out.
Absolutely. Registering is how you get the recording and the follow-up resources. You only miss the live Q&A, and you can send questions ahead of time.
Finance and IT leaders who own the data and the AI decision: CFOs, Controllers, finance directors, FP&A and accounting leaders, and CIOs. If you have to make AI safe on top of your systems of record, you're the audience.
Point AI at data you can trust.
One hour with NetSuite's Ranga Bodla on trusted data, MCP, and AI that holds up. Free.
Save my spot →