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WeAreDevelopers LIVE • Nov 27, 2024

AI beyond the code: Master your organisational AI implementation.

Marin Niehues

When a tire manufacturer tried replacing spreadsheets with AI, human friction stalled the project. Discover why data silos and leadership micromanagement kill enterprise AI before the coding even begins.

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#1 about 2 min

Introducing a failed organizational artificial intelligence case study

Analyzing a real-world project failure reveals the organizational missteps that derail technical integration.

#2 about 2 min

Comparing generative conversational agents with embedded machinery intelligence

Recognizing the distinction between chatbots and industrial automation algorithms prevents misaligned project expectations.

#3 about 4 min

Designing an embedded capacity planning tool for tire manufacturing

Shifting from manual spreadsheets to intelligent capacity planning maximizes machine utilization and adapts to market shifts.

#4 about 3 min

Structuring cross-functional teams for early project momentum

Creating a baseline technical architecture requires aligning specialized roles before organizational politics interfere.

#5 about 4 min

Distinguishing basic finite algorithms from self-learning neural networks

Overcoming legacy software limitations requires clarifying the difference between predefined conditional logic and adaptive machine learning.

#6 about 4 min

Navigating organizational resistance against unpredictable deep learning models

Stakeholder fear of job replacement and attachment to legacy infrastructure creates severe blockers for transition initiatives.

#7 about 5 min

Establishing data literacy and governance as prerequisites for adoption

Deploying artificial intelligence successfully demands a prior foundation of individual data literacy and organizational data governance.

#8 about 3 min

Dismantling departmental data silos to train intelligent systems

Removing artificial boundaries between departments ensures algorithms receive the vast datasets required for accurate self-correction.

#9 about 5 min

Preventing steering committee bloat and executive micromanagement failures

Assigning execution duties to massive task forces without dedicated staff predictably stalls technical delivery.

#10 about 4 min

Core preventative strategies for sustainable artificial intelligence implementations

Fostering organizational alignment through shared commitments, dismantling silos, and trusting dedicated domain experts drives actual product delivery.

Matching moments

3:33 min

Crucial lessons for deploying generative AI in enterprises

Alexander Trusheim Alexander Trusheim +1 · World Congress 2025

1:35 min

Root causes of underlying AI initiative failures

Deivids Vilkinsons Deivids Vilkinsons +3 · World Congress 2026 Europe

2:21 min

Overcoming operational challenges in AI adoption

Björn Bringmann Björn Bringmann +3 · World Congress 2024

4:10 min

Equipping leadership to understand and drive AI strategy

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

2:03 min

Addressing institutional inertia and AI pilot failures

Alexandre Guenoun Alexandre Guenoun +3 · World Congress 2026 Europe

4:35 min

Overcoming common barriers to implementing collaborative AI

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

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September 25, 2026 · 14:10–14:40

Stage 1

The Broken Rung: How AI is Rebuilding Software Development from the Ground Up

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Open session

World Congress 2026 North America

September 25, 2026 · 16:10–16:40

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The Five Percent Club: The Culture and Technological Shift Behind Successful AI Deployments

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Tara Hernandez, VP of Developer Productivity at MongoDB

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Open session

World Congress 2026 North America

September 24, 2026 · 16:10–16:40

Stage 6

The Reality of AI Adoption in Enterprises

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Cloud and AI expert @Microsoft, previously lead Devrel @Google

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Building AI Products vs. Building With AI

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Open session

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September 25, 2026 · 16:50–17:20

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Beyond the Code: Human-AI Synergies in Product Development

Ajita Kanchivakam Ananth

Staff Technical Program Manager at Google

Ajita Kanchivakam Ananth
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September 23, 2026 · 10:00–17:00

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CTO for Applied AI and Metaverse at daenet

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