- Introduction of Speaker
- Objective of the Webinar: An Overview of Building a Comprehensive AI Strategy
Description
In this webinar, we will explore how companies can develop a comprehensive AI strategy and successfully translate it into practice. Decision-makers and leaders often lack not only a clear vision but also concrete steps for implementation – from budget and resource planning to integration into an existing data strategy. We will highlight the key factors in creating an AI roadmap, identify common pitfalls, and provide actionable insights on how to effectively overcome them.
Register
Date
Time
Location
Price
Experts
Daniel Krieg
Senior Consultant ML und ML-Plattformen
Agenda
Welcome and Introduction
Why an AI Strategy?
- Business Drivers and Innovation Potential
- Role and Benefits of AI in Competitive Advantage
Building Blocks of an AI Strategy
- Integration of Data Strategy and AI Strategy
- Budget, Resource, and Time Planning
- Roles & Responsibilities (e.g., Data Scientists, AI CoE)
From Vision to Concrete Use Case
- Identifying and Prioritizing AI Use Cases
- Success Measurement and KPIs
Implementation Phase and Scaling
- Piloting, MVP Approaches, and Rollout
- Change Management and Cultural Transformation in the Organization
Challenges and Best Practices
- Common Pitfalls in Adoption and Implementation
- Real-World Examples and Lessons Learned
Q&A Session
Basic information
Prerequisites
Basic understanding of business processes and an initial interest in data-driven business models.
Method
Online-Webinar
Target audience
German
Languages
Primarily aimed at business leaders, CxOs, department heads, and decision-makers who seek to leverage AI sustainably and are looking for a comprehensive strategy.
