AI is a People Problem First

Before AI adoption at your organization is a technology problem, it’s actually a people problem. When your organization tries to adopt AI, the first step isn’t to just pick a platform and start using it. (Unless you’re an organization of one person! Lucky you!) At a very high level, the steps are more like this:  First, … Continue reading AI is a People Problem First

The State of AI in Business

(This is a follow-up post to The State of AI in Practice.) The internet (or at least my neighborhood of it) is blowing up over the recent MIT study that finds: "Despite $30–40 billion in enterprise investment into GenAI, this report uncovers a surprising result in that 95% of organizations are getting zero return." The … Continue reading The State of AI in Business

The State of AI in Practice

We spend a lot of time reading about AI, but most coverage focuses on new model launches, press releases from big companies, and industry drama, not the practical, day-to-day use cases and lessons we’re all searching for. At NU, we’ve been running Practical AI training sessions to fill that gap. We’ve done over 30 sessions, … Continue reading The State of AI in Practice

AI Assistants Do Your Work for You

AI assistants are becoming our digital coworkers. They're doing tasks for us that we used to do ourselves. Much of their value will come from their ability to use computers, browsers, and APIs to do things outside of their environment, by using MCP (Model Context Protocol) servers. AI assistants rely on MCP servers to let … Continue reading AI Assistants Do Your Work for You

Testing AI Note Taking Software

I've been testing AI note-takers, and they’re pretty incredible. One tool I’ve been having success with is Granola. It’s easy to use and excellent at creating meeting summaries. A few lessons I’ve learned so far for getting the most out of your AI note-taker: The default meeting notes are great, but using a custom notes … Continue reading Testing AI Note Taking Software

OpenAI Operator Early Experiments

OpenAI Operator ordered a computer monitor on Amazon for someone on my team! Here’s the prompt: ----- Order the LG 29WP60G-B monitor from Amazon. Ship it to: INSERT NAME, ADDRESS, PHONE Use the default credit card on the account. Just add the monitor to the cart, no need to ask for confirmation. You can also … Continue reading OpenAI Operator Early Experiments

Courses: Practical AI

NYCOO offers a course called "Practical AI" that is an interactive session on how to use AI in your day-to-day work. We cover prompting best practices, an in-depth demo of ChatGPT’s features and capabilities with a variety of examples and use cases, how to build custom GPTs, agents, and tools, how to use agents, assistants, … Continue reading Courses: Practical AI

Writing for Consumption by AI not Humans

The Batch from Andrew Ng and DeepLearning.ai is one of the better AI newsletters out there. In this issue, he talks about how "people are posting text online that’s intended for direct consumption not by humans, but by LLMs (large language models)." I find myself doing this all the time with our internal documentation. People … Continue reading Writing for Consumption by AI not Humans

3 Tips for Using RAG to Build an AI Internal Support Tool

Employees have questions. Many of the answers are somewhere in our company documents: handbook, wiki, expense policy, file system, list of important documents, and so on. Before AI, to answer their own questions, our team would have to search those documents manually. When searching a document for the answer, the person had to know the … Continue reading 3 Tips for Using RAG to Build an AI Internal Support Tool

You’re Not Spending Enough On Internal Tools

Looking back at the organizations I’ve worked at, I realize now that few of them spent sufficient resources on internal tools for our teams to be faster and better at their jobs. In the past, the lack of focus on those tools wasn’t a good thing, but it also wasn’t usually a large enough competitive … Continue reading You’re Not Spending Enough On Internal Tools