Live AI Dream Session, Vol. 3: Trustworthy AI in Practice with Sarath Kuravi and Dr. Shonraj Ballae • Nov 10 | 11:00 AM EST Reserve Your Seat Claim Free Seat

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  • AI Dream Session, Vol. 3 · Live Fireside Chat

Trustworthy AI in Practice: Governance, Guardrails, and Compliance

What does AI governance look like when it has to work in production, not just on paper?
Most organizations don’t lack an AI policy. They lack proof it works once the model is live.
In this fireside chat, Sarath Kuravi and Dr. Shonraj Ballae, an AI Practitioner who has contributed to a regulatory-approved AI Software as a Medical Device, work through how to govern AI that’s already in use. Expect industry examples and candid answers about what works and what doesn’t.

Date

Tuesday, November 10, 2026

Time

11:00 AM EST

Format

60 minutes: 45-minute fireside chat followed by 15 minutes of audience Q&A · Microsoft Teams

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Tuesday, November 10, 2026 | 11:00 AM EST | 60 minutes on Microsoft Teams
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Why Attend

What's in It for Me?

01

What trustworthy AI means in real-world regulated and enterprise environments

02

Practical guardrails for privacy, security, reliability, human oversight, and compliance

03

Industry use cases, including regulated and high-impact AI applications

04

How leaders can scale responsible AI without slowing innovation

You will leave with a clearer view of which guardrails your AI needs, where governance tends to stall delivery, and how other organizations are handling it.
The Cost of Sitting This Out

What Will I Miss If I Don't Attend?

The biggest risk is assuming a written policy means your AI is governed.
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A policy can say all the right things while a model in production drifts, exposes sensitive data or makes decisions nobody reviewed.
Regulators, auditors and customers are starting to ask for evidence, not intent.
Generative AI and agents add new risks, and as they move into real workflows the gap between what a policy says and what a system does gets harder to see.
This conversation will help you see where governance has to live inside the system itself, and what that looks like in practice.
The Session

What We'll Cover

A live fireside chat, not a slide deck. Sarath guides Dr. Shonraj through four to five practical questions.

Fireside chat (about 45 minutes)

01

Identifying AI Risk

How to find and assess the risks in AI systems that are already in use.
02

Building Trust Into the System

Practical guardrails for privacy, security, reliability, human oversight and compliance.
03

Compliance Without Stalling Delivery

How to meet emerging compliance needs while keeping AI delivery on track.
04

Your Questions, Answered (15 minutes)

15 minutes of open audience Q&A.
The Audience

Who Should Attend?

This session is designed for:

CXOs, CDOs, CIOs, and Senior executives

Chief Risk, Compliance, Privacy, and Information Security leaders

AI and data governance leads; legal and regulatory affairs

Quality and compliance leaders across industries

Data Science, ML, and AI engineering leaders

AI and Digital Transformation program leads

If you are responsible for approving, building or auditing AI, this session is for you.
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From AI Strategy to AI in Practice

How Vol. 3 Connects to the DARWIN™ Framework

In AI Dream Session, Vol. 1, we introduced the DARWIN™ Framework to help enterprises evaluate AI initiatives across Data, Architecture, Responsibility, Workflow, Infrastructure and Security. Vol. 2 applied that thinking to a real use case in computer vision.
This session continues the AI Dream Session series, drawing on the Data and Responsibility pillars of the DARWIN™ Framework. Once an AI system is live, how do you keep its data and its decisions trustworthy?
D Data
A Architecture
R Responsibility
W Workflow
IN Infrastructure and Security
Vol. 3 focus: Data and Responsibility

Missed Vol. 1?

Watch AI Dream Session, Vol. 1: Blueprint Your Enterprise Strategy with the DARWIN™ Framework on demand.
Watch Vol. 1

Missed Vol. 2?

Watch AI Dream Session, Vol. 2: Computer Vision Reimagined on demand.
Watch Vol. 2
Meet Your Hosts

Who You Will Be Hearing From

Sarath Kuravi

Co-Founder and EVP, Intuceo
Sarath Kuravi is Co-Founder and EVP of Intuceo, with over 20 years delivering 50+ Data and AI solutions for Fortune 500 clients across Life Sciences, Healthcare, and Manufacturing. He leads Intuceo’s Global Delivery organization, turning ambitious AI and data initiatives into practical, measurable outcomes built for adoption.
Shonraj Ballae Ganeshrao

Dr. Shonraj Ballae

Principal AI Scientist
Dr. Shonraj Ballae is a Principal AI Scientist with over 15 years of experience in AI, healthcare innovation, and applied research. He holds a Ph.D. in Computational Vision Science. His work focuses on trustworthy AI, AI governance, and turning emerging AI into practical business outcomes.
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About Intuceo AI Labs

Research That Has to Survive Production

Intuceo AI Labs focuses on one question: how do advances in AI translate into systems that actually work inside an enterprise?
The Labs brings together AI research and real-world implementation experience across computer vision, machine intelligence and enterprise AI.
The focus is not just on what a model can do in a demo, but what it takes to make AI practical, reliable and usable in real operating environments.
Intuceo AI Labs overview

Is Your AI Governed on Paper, or in Production?

A policy is a starting point.
Proof is what holds up.
Join AI Dream Session, Vol. 3 to hear what it takes.
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