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World Congress 2026 Europe • Jul 10, 2026 • Session details

AI in High-Stakes Industries: Lessons Learned

Alexandre Guenoun , Jaipal Singh , Nicolò Robba , Tomislav Tipurić

Foundation models are commodities, but the secure infrastructure orchestrating them is your true differentiator. Discover how high-stakes industries build trustworthy, zero-mistake AI architectures.

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#1 about 4 min

Building an AI operating system for clinical diagnostics

How aggregating and structuring longitudinal medical data enables faster analysis in regulated spaces.

#2 about 3 min

Decoupling business rules from machine learning in insurance

Why separating underwriting protocols from algorithmic processing preserves compliance and business governance.

#3 about 3 min

Establishing guardrails and infrastructure for AI models

How investing in the ecosystem surrounding models protects code quality and regulatory alignment.

#4 about 4 min

Navigating medical device certification and clinical trials

Steps for transforming generalized software into certified medical products through technical files and audits.

#5 about 2 min

Training small AI models on secure private data

Why the future of enterprise AI relies on orchestrating smaller, fine-tuned tools instead of general foundation models.

#6 about 2 min

Leveraging AI to accelerate compliance and time to market

How AI transforms compliance from a bottleneck into a catalyst for rapid software deployment.

#7 about 3 min

Evaluating direct and long-term AI return on investment

Comparing the immediate wins of customer-facing AI features versus the long-term code quality gains from developer tools.

#8 about 4 min

Bridging constraints between product management and software engineering

How AI tools allow developers to rapidly prototype clinical nuances and assume product design responsibilities.

#9 about 3 min

Addressing institutional inertia and AI pilot failures

Why clearly defining the target problem prevents AI prototypes from stalling before production.

#10 about 4 min

Building interoperable healthcare products across fragmented markets

Mitigating model hallucinations by architecting systems that adapt to localized medical regulations and data standards.

#11 about 2 min

Scaling localized compliance within a global infrastructure

How abstracted global architecture layers empower independent tuning for regional regulatory requirements.

#12 about 3 min

Evolving toward personalized modular AI software agents

Predictions for how autonomous microservices will replace conversational bots with direct, automated system actions.

Matching moments

6:51 min

Defining proven AI in high-stakes environments

Bharat Melag Bharat Melag +4 · World Congress 2026 North America

1:47 min

Evaluating ethical responsibilities for AI product integration

Krzystof Czieslak · LIVE

1:56 min

Navigating AI adoption in highly regulated environments

Leigh-Ann Russell Leigh-Ann Russell · World Congress 2026 North America

3:08 min

Managing the impact of AI on software trust

Serge Baumberger Serge Baumberger · Europe 2026 Virtual

4:25 min

Assessing AI ethics adoption in the private sector

Björn Bringmann Björn Bringmann +3 · World Congress 2024

44 sec

Introduction to AI safety and responsible architecture

Ashok Prakash Ashok Prakash · World Congress 2026 North America

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