Marin Niehues
AI beyond the code: Master your organisational AI implementation.
#1about 6 minutes
The challenge of optimizing tire production planning
Manual production planning for expensive machinery leads to inefficiencies and lost revenue, creating a clear business need for an AI-driven solution.
#2about 3 minutes
Assembling the team and building the initial concept
A cross-functional team of data engineers, scientists, and AI engineers is formed and successfully develops the core AI model concept in the initial sprints.
#3about 7 minutes
Distinguishing true AI from legacy rule-based algorithms
The project is challenged by a legacy system mistaken for AI, highlighting the organizational need to understand the difference between basic algorithms and self-learning systems.
#4about 7 minutes
Data silos are the enemy of machine learning
Being denied access to real production data reveals that organizational data silos and a lack of data governance will prevent any machine learning model from succeeding.
#5about 5 minutes
How C-level micromanagement creates organizational overhead
Escalating issues to the C-level results in a series of unproductive workshops and a bloated, unfunded task force, demonstrating how micromanagement stifles progress.
#6about 3 minutes
Six key strategies for successful organizational AI adoption
A summary of crucial lessons learned includes fostering AI understanding, building shared commitment, implementing a data strategy, removing silos, and empowering expert teams.
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Matching moments
03:32 MIN
Introducing a case study of a failed AI project
Big Business, Big Barriers? Stress-Testing AI Initiatives.
07:30 MIN
Organizational strategies for successful AI adoption
Leading efficiency, empathy, and the human experience with AI
05:35 MIN
Why data silos and lack of governance kill AI projects
Big Business, Big Barriers? Stress-Testing AI Initiatives.
03:33 MIN
Key lessons for enterprise AI tool implementation
AI Pair Programming with GitHub Copilot at SAP: Looking Back, Looking Forward!
04:04 MIN
Learning from common failures in AI projects
Rethinking Customer Experience in the Age of AI
02:03 MIN
Seven best practices for successful AI implementation
Big Business, Big Barriers? Stress-Testing AI Initiatives.
01:42 MIN
Applying software engineering skills to AI integration
You are not an AI developer
03:39 MIN
Integrating AI expertise into product and business teams
Rethinking Customer Experience in the Age of AI
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Jobs that call for the skills explored in this talk.
regio iT gesellschaft für informationstechnologie mbh
Remote
€64-89K
Linux
NoSQL
DevOps
+4
Ai-driven