What can your business offer that AI can’t? That’s the question you need to be asking yourself right now. The rise of artificial intelligence is not a looming threat; it’s a current reality. And like any disruptive technology, it demands a strategic response, not blind panic.
If you work as a Business Analyst, you’re probably asking yourself “How can I find some practical ways to use AI for the work I do? Here’s 3 ways to do this.
Instead of using an LLM as a ‘fast food’ content generator, look for ways to collaborate with it. If you follow these guidelines, your material will avoid the tell-tale giveaways you see in generic AI material.
In this article, I compared 5 different LLMS to see which is best are reviewing long documents over 100 pages.
In the following article, I’ll outline the process of defining, writing, and sharing your style guide. These steps can be adapted to most large language models (LLMs). Subsequent articles will go into the specific elements and structure of an effective style guide.
To help you get started, I’ve created a Quick Start Guide to NotebookLM that explains how it works in non-technical terms.
When’s the last time you revised your Vision statement? In general, we craft this document when we start up the company. And, as it requires significant attention to hone the words so it aligns exactly with your vision, we may spend days refining the drafts. Finally, we get it just right – every word rings […]
As a product manager, crafting clear and actionable user stories is critical for delivering value to your users. With AI tools such as Google NotebookLM, you can streamline this process, so that your stories are concise, user-focused, and align with your business goals. By leveraging AI, you can address the “Five Ws and H” (Who, What, When, Where, Why, and How) more effectively, saving time and improving collaboration with your team.
Overwhelmed with documents coming at you from all angles? Can’t find that one-liner in a recent email chain? Previously, I used a combination of tools, such as Obsidian, Notion, and Google Docs to get my arms around this. Recently, I’ve switched to NotebookLM and found it much better.
If you’re drowning in a sea of email chains, documents, meeting notes, and other fragments—maybe you work in IT, pharma, or any industry that thrives on information—I’d suggest you look at NotebookLM to coordinate all of this material into a single, coherent location.
If you take the time to articulate your intent (super specific), you invite the AI to engage thoughtfully, leading to outputs that are both relevant and often unexpected.
Because of this, when you’re learning to use AI, such as ChatGPT, you need to understand when and where to craft different types of prompts.
Learn how to write an Instructional Prompts with examples. Instructional prompts are unambiguous, actionable directions that ensure you get a more contextual output. Whether you’re refining a draft or crafting more formal emails, instructional prompts bridge the gap between what you want to achieve and what ChatGPT delivers.
