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:
- Funding grinds to a halt
- Bundling & consolidation ahead
- The Modern Data Stack under pressure
- Convergence and Simplification
ML/AI:
- AI goes mainstream (and multimodal)
- Funding: In AI, it’s party like it’s 1999
- The new political economy of AI: Big Tech vs AGI Research Labs
- New startup opportunities: GenAI SaaS and LLMOps
- The inevitable backlash: AI ethics & safety
- The “AI Wars” reach a new level of intensity