Watch: Where should enterprises start their AI and GenAI journey?
Video Summary
Lori Schafer, CEO of Digital Wave Technology speaks to Deborah Weinswig, CEO and Founder of Coresight Research, on how companies can start their AI and GenAI journey with a focus on clean data, the right skill sets, and scalable infrastructure.
Key Takeaways
Clean, unified data is the non-negotiable foundation for any AI strategy
AI talent must combine domain expertise with practical implementation knowledge
Scalable infrastructure is essential to operationalize AI at the enterprise level
Starting small and focused reduces risk and accelerates success
Many companies fail to implement GenAI because their foundations aren’t ready
Video Transcript
AI isn’t just a trending topic. It’s the topic across retail and consumer industries.
When companies ask where to start, I always emphasize that it doesn’t have to be overwhelming. You don’t need to build everything at once. Start small and focused.
First: prioritize your data strategy. That means ensuring your data is clean and unified. If your data lives in five different places and one of them is unreliable, you can’t build trust or results with AI.
Second: assess your talent and skill sets. Whether you hire internally or work with an expert partner, you need people who understand both the business and how to apply AI practically. It’s not just about data science, it’s about domain understanding, too.
Third: invest in scalable infrastructure. A lot of companies jumped on GenAI when the hype started, but struggled to implement it because their architecture couldn’t scale. If your tech foundation isn’t built to support AI at enterprise scale, it’s going to be an uphill battle.
So, start with those three: clean, unified data; skilled talent; and scalable infrastructure. That’s how you set yourself up for success with AI and GenAI.