Introduction: Why AI in B2B?

• The imperative of an "AI-first" mindset.
• Studies indicating awareness of potential vs. practical implementation of AI.
• Can AI address the shortage of skilled professionals?
• Distinguishing between hype and competitive advantage.
• Deciding between waiting and AI automation: The optimal approach.
• The urgency of adopting AI today.

Challenges in AI Implementation:

• Common obstacles: Fears, data protection, lack of expertise, technology challenges.
• Knowledge saturation: An array of tools, rapid development, difficulty in keeping pace.

Starting with AI:

5 Key Concepts in 5 Minutes:

• Understanding AI, generative AI, and LLMs.
• How ChatGPT operates.
• The concept of multimodality.

Developing an Effective AI Strategy:

• Focusing on use-cases before selecting tools.

Choosing the Right Departments for AI Integration:

• Marketing, Sales, HR, Product, Customer Service.
• Enormous potential in every sector due to significant cost pressures.

7 B2B Use Cases:

1. Analyzing meetings, creating meeting minutes.
2. Conducting rapid research.
3. Marketing: Generating ideas for products and campaigns.
4. Planning social media content with visual ideas.
5. Sales: Enhancing customer correspondence.
6. Designing presentations.
7. Quick data analysis.

Practical Tips: How to Successfully Tackle Initial AI Themes in 2024.