WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
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.

Pause
Mute Enter Fullscreen
#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

1:47 min

Evaluating ethical responsibilities for AI product integration

Krzystof Czieslak · LIVE

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

1:54 min

Framing responsible AI as a core business driver

Björn Bringmann Björn Bringmann +3 · World Congress 2024

5:20 min

Shifting from AI hype to enterprise operations

Deivids Vilkinsons Deivids Vilkinsons +3 · World Congress 2026 Europe

3:15 min

Core preventative strategies for sustainable artificial intelligence implementations

Marin Niehues Marin Niehues · LIVE

More from World Congress 2026 Europe

Building the Nervous System of AI - Michael Kagan (NVIDIA) thumbnail
29:17
about 2 months ago

Building the Nervous System of AI - Michael Kagan (NVIDIA)

Michael Kagan, Sead Ahmetović

Five Things in Tech that Matter Now - WeAreDevelopers World Congress 2026 Closing Keynote thumbnail
19:41
about 2 months ago

Five Things in Tech that Matter Now - WeAreDevelopers World Congress 2026 Closing Keynote

Christian Heilmann

The Sound of Your Secrets: Teaching Your Model to Spy, So You Can Learn to Defend thumbnail
32:06
about 2 months ago

The Sound of Your Secrets: Teaching Your Model to Spy, So You Can Learn to Defend

David vonThenen

Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes thumbnail
35:13
about 2 months ago

Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes

Irina Branovic

Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬 thumbnail
24:23
about 2 months ago

Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬

Jeremy Murray

Angstfreude - AI and Corporate Culture - The Thrill and the Threat thumbnail
30:26
about 2 months ago

Angstfreude - AI and Corporate Culture - The Thrill and the Threat

Axel Ebert, Karin Krobath

Upcoming sessions on this topic

Open session

World Congress 2026 North America

September 24, 2026 · 16:50–17:20

Mainstage

Building AI Products vs. Building With AI

Aparna Dhinakaran, Rukmini Reddy, Tamar Bercovici

Aparna Dhinakaran
Rukmini Reddy
Tamar Bercovici
Open session

World Congress 2026 North America

September 24, 2026 · 16:50–17:20

Stage 6

Who Tests the AI? Building Trustworthy AI Systems at Enterprise Scale

Him Raj Singh

PayPal, Manager, Software Engineer

Him Raj Singh
Open session

World Congress 2026 North America

September 25, 2026 · 16:50–17:20

Outdoor Stage

Beyond the Code: Human-AI Synergies in Product Development

Ajita Kanchivakam Ananth

Staff Technical Program Manager at Google

Ajita Kanchivakam Ananth
Open session

World Congress 2026 North America

September 24, 2026 · 11:40–12:10

Stage 6

AI ROI: The Hard Unit Economics of AI-Native Engineering

Manu Gurudatha

Manu Gurudatha, VP of Engineering at PagerDuty

Manu Gurudatha
Open session

World Congress 2026 North America

September 25, 2026 · 11:40–12:10

Stage 2

Reinventing Testing Practices in the AI Era

Eric Deandrea

Java Champion & Senior Principal Software Engineer, IBM

Eric Deandrea
Open session

World Congress 2026 North America

September 24, 2026 · 11:10–11:15

Outdoor Stage

Architecting the 100X SDLC: Building Production Trust into AI-Assisted Delivery

Ranjan Parthasarathy

Founder, CPTO/CEO at AXIOMSTUDIO.AI

Ranjan Parthasarathy

Related videos

AI-Enabled Organisations: From Strategy to Practice thumbnail
28:10
World Congress 2026 Europe • about 2 months ago

AI-Enabled Organisations: From Strategy to Practice

Benedikt Höck, Chris Daden, Lars Rogge, Damiana Casile

Running AI at Scale: The Secret Ingredients thumbnail
30:04
World Congress 2026 Europe • about 2 months ago

Running AI at Scale: The Secret Ingredients

Boris Hecker, Max Tschochohei, Peter Kürpick, Tomislav Tipurić

Introduction to Responsible AI: Balancing Value and Risk thumbnail
31:21
Europe 2026 Virtual • 2 months ago

Introduction to Responsible AI: Balancing Value and Risk

Seppe Housen

The Limits of LLMs in Real-World Applications thumbnail
31:07
World Congress 2026 Europe • about 2 months ago

The Limits of LLMs in Real-World Applications

Deivids Vilkinsons, Guillaume Esnou, Laura Moritz, Mariam Hakobyan

The Missing Layer Between Enterprise Data and AI Agents thumbnail
30:17
World Congress 2026 Europe • about 2 months ago

The Missing Layer Between Enterprise Data and AI Agents

Jannis Eickenroth, Sebastian Klenke

Bringing AI Everywhere thumbnail
26:25
World Congress 2024 • about 2 years ago

Bringing AI Everywhere

Stephan Gillich

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.