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I asked ChatGPT to make me some pictures of project managers for an article I was working on and the results were surprising. There's lots of chat in the world of project management at the moment about the value of AI, but what are the biases that sit behind that AI? Both times it made me new pictures. Here's how that went down.
TL; DR: Agile Transformation with ChatGPT or McBoston? Or shall we embark on an agile transformation with ChatGPT providing some guidance? Maybe, ChatGPT’s successor will start at the top of the food chain. ?? Zur deutschsprachigen Version des Artikels: Agile Transformation mit ChatGPT oder McBoston? ?
TL; DR: Workshop Design with ChatGPT The following article explores whether we can use ChatGPT-4 to create workshops for agile practitioners; for example, Scrum Masters. While Liberating Structures have simplified the task, workshop design with ChatGPT may provide an alternative. Shall I notify you about articles like this one?
Whether you’re already comfortable leveraging AI for projects, or you’re completely new to AI, one thing is certain: the rise of ChatGPT and other commercial generative AI has greatly accelerated AI’s workplace infiltration. Specifically focused on generative AI applications in projects, mainly ChatGPT. How do I begin automating tasks?
TL; DR: 60 ChatGPT Prompts for Agile Practitioners ChatGPT can be an excellent tool for those who know how to create prompts. The simplest form of prompting ChatGPT is to feed it the task and ask for results. The following article offers a primer to creating ChatGPT prompts for Scrum practitioners to get you started running.
TL; DR: A ChatGPT Job Interview for a Scrum Master Position. In this ChatGPT job interview, I put OpenAI’s latest generative AI to the test. Zur deutschsprachigen Version des Artikels: Ein ChatGPT Jobinterview für eine Scrum-Master-Position. ? Interviewing ChatGPT. I did not edit ChatGPT’s answers.
The dialogue format makes it possible for ChatGPT to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.” ( Source.) . I thought it might be fun to ask ChatGPT a few questions about business agility in general and Scrum in particular. . ???? Let’s put the model to the test!
TL; DR: ChatGPT Prompts for Scrum Practitioners. Last week, I ran an “interview” with ChatGPT as an applicant for a fictitious Scrum Master position based on questions from Scrum Master Interview Guide. While the overall results were broadly acceptable, I thought that changing the ChatGPT prompts might deliver better results.
Stepsize AI Sprint Report Creation & Technical Debt Management Providing concise and readable Sprint reports based on data from issue trackers like Jira and Linear. link] ChatGPT General Assistant Acts as a virtual Scrum Master assistant, offering real-time suggestions and insights.
TL; DR: Club Scrum — You, too, ChatGPT? Now that we have a new kid, pardon: a new LLM, on the block, I reran the old questionnaire: Club Scrum: What Are You Doing all Day, ChatGPT — as a Scrum Master? Read on and learn what ChatGPT considers to be a typical workload. Excluding the removal of impediments.) ??
Instead, a general bot, Chat-GPT, is first on the scene, and in this update, I am going to show you how to use it. But first, let’s dive into what exactly ChatGPT is and how it works. What is ChatGPT? Let’s start looking at ChatGPT to explore its capabilities. How to Use ChatGPT Step 1.
ChatGPT answered: No, generative AI models like ChatGPT or DALLE do not truly "understand" their answers in the way humans do. They generate outputs based on patterns in the data they have been trained on and operate without genuine comprehension, intention, or awareness. As an example, Otter.ai
ChatGPT answered: No, generative AI models like ChatGPT or DALLE do not truly "understand" their answers in the way humans do. They generate outputs based on patterns in the data they have been trained on and operate without genuine comprehension, intention, or awareness. As an example, Otter.ai
For project managers , in particular, smart glasses have the potential to change the way you juggle tasks, access and visualize data, and communicate with teammates and stakeholders. Think ChatGPT and a personal AI assistant, but built into your glasses. But first, let’s dive into the revolutionary tech powering these specs.
That means removing the busywork of project management like data collection, status reporting and tracking – which I think is a good thing. There are more data and analytics projects being kicked off in 2024 than previous years, with 77.6% of organizations reporting that they are driving business innovation with data compared to 59.5%
There are several important pros and a few cons to consider when using ChatGPT for project planning, as this revolutionary new approach of “prompting for a project plan” might feel alien at first. Are you totally new to ChatGPT? ChatGPT comes in a variety of versions (v3, v3.5, and v4) and will eventually have more.
Back in November 2023, OpenAI released GPTs, a hyper-customizable version of their GPT-4-based chatbot. Please note that you need to have access to OpenAI’s paid version of ChatGPT to use GPTs.) Think of them as a way to make your knowledge available to others through a customized Chatbot on top of GPT-4.
In their daily work, they talk to hordes of people, look at piles of data, and try to satisfy everyone’s needs (preferably yesterday). How could new technology like ChatGPT impact our product? Analyzing this data and extracting learnings from this is vital in the empirical approach to product development.
In November 2022, when ChatGPT was made available to the public, it put Artificial Intelligence (AI) into the spotlight for all people – not just ‘techies’ and those who have followed AI for a long time. AI can suggest corrective action based on historical data and continuously track progress to warn the project manager when risk arises.
Im November 2023 veröffentlichte OpenAI GPTs, eine hochgradig anpassbare Version ihres auf GPT-4 basierenden Chatbots. Bitte beachten Sie, dass Sie Zugang zu OpenAIs kostenpflichtiger Version von ChatGPT haben müssen, um GPTs nutzen zu können.) Was ist ein Scrum GPT? Dies erfordert ein Upgrade auf ChatGPT Plus.)
It focuses on how to write a Project Charter – and then asks ChatGPT what it would include in a Project Charter! Scope – What is and is not included in terms of processes, organizational areas, locations, data, applications, and technologies. ” I asked AFTER I completed the core sections of the post.
Jira Anti-Patterns Gathering Qualitative Data on Jira Anti-Patterns I did not run a representative survey to gather qualitative data for this article. I want to aggregate these Jira anti-patterns and make them available to provide teams with a data-backed starting point for a fruitful discussion.
I want to aggregate these Jira anti-patterns and make them available to provide teams with a data-backed starting point for a fruitful discussion. Implementing the tool without any Data Management policies in place, turning into hundreds of fields of all types (drop-down, free text, etc.). Then, everything starts going south.
Metrics and Reporting : Explain how you identified suitable metrics and utilized their data to generate insights, track progress, and make informed decisions that drive project success and align with business goals.
While there are more ways to work with AI than can possibly be described in a simple article, we want to provide you with some ideas on how Chatbots, like ChatGPT and Bard, can help you with project origination and planning. Large Language Models (LLM’s): A subset of Generative AI that is specifically trained on massive amounts of text data.
Data Literacy: The Foundation of AI-Enabled Decision-Making AI runs on data. If project managers cant interpret and leverage that data, they risk making uninformed decisions. Data literacy isnt about becoming a data scientistits about knowing how to: Identify relevant data sources for project tracking and forecasting.
Tools like generative AI (think ChatGPT, Jasper, or DALL-E) are designed to spark new ideas, offering project teams a starting point for brainstorming sessions. AI can process massive amounts of data in real-time, giving you insights that would take humans weeks to uncover. Combine Data with Human Insight Dont just rely on AI outputs.
These tools leverage machine learning, natural language processing (NLP), and data analytics to automate repetitive tasks, optimize workflows , and provide intelligent insights, allowing users to focus on higher-value activities. This means they can quickly provide insights, predict trends, and help make data-driven decisions.
Ever since ChatGPT hit mainstream consciousness in November 2022, a frequent topic of discussion in most project management online communities has been what progressive improvements in A.I. So what does this have to do with project management, you ask? capabilities will mean for the profession. I also am confident that A.I.
Bet you have heard of or tried using ChatGPT, allowing you to generate pieces of content. Some of the popular AI technologies in the market are AI-powered chatbots, robotic process automation (RPA), and generative AI like ChatGPT. That way, your data becomes accurate, complete, and up-to-date. billion in 2024 and $738.80
While there are more ways to work with AI than can possibly be described in a simple article, we want to provide you with some ideas on how Chatbots, like ChatGPT and Bard, can help you with project origination and planning. Large Language Models (LLM’s): A subset of Generative AI that is specifically trained on massive amounts of text data.
Using ChatGPT, we dove into the details of the project to uncover the real sources of cost overruns and time delays, providing crucial lessons that any project manager can apply. The analysis started with comparing baseline and actual data for each task. The right prompts, like “What tasks are new in the updated plan?”
The latest iteration, ChatGPT-4o, introduces groundbreaking features that promise to revolutionize project, program, and portfolio management. Some prompts may call for some information, we suggest as a best practice to ensure that there is no proprietary information being sent to ChatGPT. Copy in genericized data) 7.
I think it goes without saying that you should keep confidential data off ChatGPT or other publicly available AI tools. “While you may want to get your tasks done as quickly as possible in order to demonstrate your efficiency as a worker, and AI can be a very helpful tool, this isn’t always viewed favorably by all employers.”
The image above is from ChatGPT 4o with a prompt of “draw me an AI graphic for effective use of artificial intelligence tools.” In part 1 , we explored the potential of AI in project management, emphasizing the importance of data quality and integration with existing workflows for successful implementation.
It follows up this initial attempt with actual Artifical Intelligence responses from ChatGPT. At its core, Artificial Intelligence, commonly referenced with the acronym “AI”, is all about data. It has great potential where there are lots of data, the data is good, and the data has inherent value.
But one thing we do know: Using ChatGPT for project management comes with plenty of benefits. But first, in case you missed it, what exactly is ChatGPT? What is ChatGPT and generative AI? Here, we couldn’t help but ask ChatGPT itself. Here’s what it said: “ChatGPT is an advanced language model developed by OpenAI.
The term “AI” often conjures up images of “The Terminator,” or, as I have seen more recently, is associated solely with ChatGPT. With AI’s ability to analyze large amounts of data quickly and accurately, we can: Gain insights that were previously impossible. Make data-driven decisions.
There is no doubt that AI is great at analyzing data. In fact, a few weeks ago, I asked ChatGPT to come up with a quote that described how awesome AI is in analyzing data. Before you can harness the power of AI, you need access to software and data. It excels in detecting anomalies in performance data.
Whether you’re tracking metrics, forecasting budgets, or analyzing data, these spreadsheet tools remain go-to solutions. Enter ChatGPT, a game-changer for project managers seeking to streamline their tasks. Here's how ChatGPT can be your personal tutor and assistant in navigating Excel and Google Sheets.
AI enhances efficiency, decision making, and productivity by automating tasks like data entry and scheduling. By using AI to automate data entry and scheduling, create drafts of project documents, and uncover insights from project data, managers can devote more of their energy to addressing risks and removing roadblocks for their teams.
In 2022, we created 97 zettabytes (a zettabyte is 1 billion terabytes) of global big data! And with 49% of executives recognizing a lack of talent in the workforce to analyze data, the need to fill this talent gap is evident. TL;DR – Key Takeaways What does a data analyst actually do? What does a data analyst do?
In November 2022, when ChatGPT was made available to the public, it put Artificial Intelligence (AI) into the spotlight for all people – not just ‘techies’ and those who have followed AI for a long time. AI can suggest corrective action based on historical data and continuously track progress to warn the project manager when risk arises.
ChatGPT, Bard, Bing, and Midjourney) are receiving headlines today, the concept and foundational technology have a rich development history, and we can expect more of the same over the next several years. One thing is clear—new tools and their capacity to quickly analyze large data sets are proliferating quickly. While some tools (e.g.,
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