There’s a stark difference in success rates between companies that purchase AI tools from vendors and those that build them internally.

Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact on P&L.

The research—based on 150 interviews with leaders, a survey of 350 employees, and an analysis of 300 public AI deployments—paints a clear divide between success stories and stalled projects.

  • _wizard@lemmy.world
    5·
    3 days ago

    You mention N8N. Last week I had a sales VP mention it as well. Could you elaborate on your perspective? I’ve been building databases in BigQuery for the past month and will start utilizing ML for a business need so I probably missed some write up about it.

    • ls64@lemmy.world
      3·
      3 days ago

      I’m a program manager, have some small coding experience.

      N8n is like Legos of API access you can generate tons of integrations that would have otherwise been imposible with just a few hours of work. We have an issue where people don’t complete their slack profiles. Using n8n I made an integration between our HR software and slack so that it automatically populates most fields without having to bug people.

      And after that, it runs a check for what manual thing they are missing and sends them a message.

      You put an http block, behind a filter block, behind a slack blog and it handles everything for you.

      Would recommend you give it a try, I have it running on the work instance but I also have a local one running in my raspberry that I plan to use to fool around.

    • rumba@lemmy.zipEnglish
      31·
      3 days ago

      N8N is like IFTTT (if this then that)

      It’s a mostly codeless solution for wiring things together, meaning you can use semi-non-skilled labor to do somewhat difficult things.

      This guy can be a little hard to stomach for some, but he goes into great depth on setting up some n8n use cases, and he doesn’t waste a lot of time doing it. https://www.youtube.com/watch?v=ONgECvZNI3o

      Right now, we use it so that if IT puts a certain emoji on a slack message, it makes a jira ticket, letting us know that work has been triaged and created, but if a user does it, it fails.

      You could have N8N read a slack channel, or load an RSS feed, or take input from a website, send that data through an LLM prompt to transform the data and then have it or an agent do some work or respond to the input, with minimal need to write code. Really the limits are what services it supports (or your ability to add that API) and your imagination.

      In Chuck’s example, he had N8N load several RSS feeds, make thumbnails from them, read the description, and use an LLM to shorten the text without losing meaning and provide a clean list of media to a Discord channel.

      https://n8n.io/integrations/google-bigquery/and/openai/

      You could define a trigger, say have a chatbot or Slack channel, have it hit your BigQuery, send the data to GPT to make it human-readable, and respond to requests in the channel with some futzing around in logins, flowcharting, and JavaScript variable names…