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There are really only two use cases for LLMs that have gained any traction in the enterprise: productivity and triage. Productivity is largely being done to th
by jl6 2y ago
There are really only two use cases for LLMs that have gained any traction in the enterprise: productivity and triage.
Productivity is largely being done to them, with devs using LLMs every day of their own accord, and most orgs leaving Microsoft to do the heavy lifting of making Copilot work over all their unstructured docs and emails.
Triage is the immediate prize. So many of these mega-corporations are doing mega-scale things (millions of customers, billions of transactions) that there is huge opportunity to put an AI layer in front of staff to guide and prioritize their work. Not to do their work, but to increase the chances that they are focusing on the most valuable work. The ideal AI here works like a secretary: “Good morning, I’ve reviewed all the recent calls/cases/leads/transactions and these are the top 20 that seem worth looking into.”
I don’t think anybody trusts AI to do the actual looking-into.
- threeseed 2y ago> huge opportunity to put an AI layer in front of staff to guide and prioritize their work Glean is an example of this and they charge $$$/seat which means it is being selectively targeted at specific teams rather than enterprise-wide. The problem is that companies don't have their data in a state that can accomodate such a layer. And with the death of EDWs and trend to siloed SaaS apps the problem just gets worse every day. Which is why AI is going to be more like a mini-assistant inside every app you use instead of some god-like agent.
- mritchie712 2y agoDeath of EDW (assuming you mean Enterprise Data Warehouse)? I don't hear many people use the term EDW, but data warehouses (e.g. Snowflake) / data lakes (e.g. Databricks) are very much alive. It just takes more connectors and data engineering to get all your data there. That's a big part of the reason we started Definite [0]. It's hard to pick all the right components to get a data warehouse, we make it simple (built in warehouse with all the connectors you need). 0 - https://www.definite.app/ https://www.definite.app/
- ctc24 2y agoDisagree on the data silo issue. There's a growing trend of SaaS providers making data available to their customers by feeding it back into their DWs. It started with the likes of Segment and Heap, and has now grown to include companies like Stripe, Salesforce, and Zuora to name a few. I'd wager that making data accessible is only going to become more table-stakes over time.