The old-school business analyst role has fractured into a diaspora of niche analyst positions. But with the technical barrier hypothetically dropping, the domain (and institutional) knowledge of those roles may become much more valuable than just being a SQL or Python wizard.
@mattlynley
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Semantic Layer: Mental Models Encoding Business Logic Nouns Verbs
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You can think of the semantic layer as a mental model that encodes business logic in the form of nouns and verbs. A Customer would be a Noun, while a Transaction would be a Verb. It's something that's well suited to interfacing with a natural language interface.
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Language Models and Semantic Layers Transform the Analyst Role
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Or, more specifically, what happens to the analyst role at some intersection of the emergence of the semantic layer and a language model to interact with it.
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LLMs Impact on Analyst Roles and Future Career Implications
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While everyone is obsessed with data science what LLMs will do to the hyped role, more people I talk to these days are intrigued by another one: what happens to the analyst?
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Bypassing LLM and Embedding Model Weaknesses with Open Source Solutions
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I'm not aware of a startup working on this directly, but people are talking about the problem. And it's an interesting way to bypass some issues with weaknesses that embedding models/existing LLMs have, especially if there's broader adoption of OSS LLMs.
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Prompt Routing: Selecting Optimal Models for Different Prompts
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I've also heard *very* recently (like, the past few weeks) about interest in what you could call Prompt Routing. The idea being that different models hallucinate in different ways, and there could be an opportunity to pick the right model for the right prompt algorithmically.
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AutoGPT and AI Agents Momentum Toward Year End
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Finally, looking toward the end of the year: agents, agents, and more agents. AutoGPT still continues to build momentum (though some people worry it might have some challenges working with its community) and there's research coming out of startups like Generally Intelligent.
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Nvidia’s AI Training Dominance Faces Potential Challenge from MosaicML
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And Nvidia still obviously owns AI training with their (very substantial) lead in AI training with its A100- and H100-series GPUs. Though that *might* be due for a change, particularly with some work coming out of (shocker) MosaicML this week.
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MosaicML Acquisition Signals Major Consolidation in AI Stack
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With the news about MosaicML getting acquired this week, it's clear Databricks and Snowflake are going to be two of the biggest landing points for these companies—both companies powering a new stack *and* acquihires. I wouldn't be surprised to see Nvidia make some moves, either.
