Every year, as part of our MAD project, we do a presentation at Data Driven NYC about the top trends we see across data and ML/AI. (here’s the 2022 version for reference).

The presentation, done this year with my FirstMark colleague Kevin Zhang, is a whirlwind tour of top trends, as opposed to anything particularly in-depth, as we tried to keep it short. But hopefully it should provide a good overview of what’s been happening in those spaces, for anyone interested in a recap.

See below for:

• the video (20’53”)
• the list of top trends for easy perusal
• the slides

For easy perusal, here’s a recap of those top 10 trends:

Data infrastructure: 

1. Funding grinds to a halt
2. Bundling & consolidation ahead 
3. The Modern Data Stack under pressure 
4. Convergence and Simplification 

ML/AI:

5. AI goes mainstream (and multimodal)
6. Funding: In AI, it’s party like it’s 1999
7. The new political economy of AI: Big Tech vs AGI Research Labs 
8. New startup opportunities: GenAI SaaS and LLMOps
9. The inevitable backlash: AI ethics & safety
10. The “AI Wars” reach a new level of intensity