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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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Upcoming sessions on this topic

Open session

World Congress 2026 North America

September 24, 2026 · 15:30–16:00

Outdoor Stage

From Boardroom to Build Pipeline: What AI Governance Actually Looks Like in Practice

Anita Ganti

Board Director & Technology Executive

Anita Ganti
Open session

World Congress 2026 North America

September 25, 2026 · 14:10–14:40

Stage 1

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

Tomislav Tipurić

Chief Technology Officer, Nephos

Tomislav Tipurić
Open session

World Congress 2026 North America

September 25, 2026 · 16:10–16:40

Stage 3

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

Tara Hernandez

Tara Hernandez, VP of Developer Productivity at MongoDB

Tara Hernandez
Open session

World Congress 2026 North America

September 24, 2026 · 15:30–16:00

Stage 1

The Reality of AI Adoption in Enterprises

Priyanka Vergadia

Founder of Cloud Girl, former executive at Microsoft

Priyanka Vergadia
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 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

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