Here are some key principles every AI-focused startup should keep in mind:
1️⃣ Solve a Real Problem: Start with a problem you deeply understand, set clear success metrics, and define specific goals.

2️⃣ Scalable Data Approach: Ensure your data strategy scales by partnering for access to training data and maintaining rigorous data security standards.

3️⃣ Don't Reinvent the Wheel: Leverage existing tools and platforms, focusing on how you uniquely apply them.

4️⃣ Walk Before You Run: Prioritize quick wins and work alongside humans to enhance value in the early stages.

5️⃣ Attract the Right Talent: Build a diverse team beyond ML engineers and data scientists to tackle various challenges effectively.

6️⃣ Establish Ethical Boundaries Early: Set clear ethical principles for AI usage and ensure responsible deployment.

Start with these principles to lay a strong foundation for collaborative, scalable, and ethical AI innovation! What else would you add to the list?

Original Post - https://www.linkedin.com/posts/michael-wahl217_ai-startups-artificialintelligence-activity-7228603608752107522-Sdqk