AI's Role in Improving Project Management

AI's hype is everywhere, but its practical application is what truly matters. !! Unlike the self-driving car hype of a decade ago, AI's implementation in the real world is uniquely different. Over the past year, I've witnessed firsthand how AI can augment our capabilities at SJ Innovation. It may not replace our jobs, but it does serve as a powerful assistant, handling numerous tasks efficiently. Since OpenAI introduced the "OpenAI Assistant," we've created over 250 specialized assistants within our organization. Upon reviewing these AI assistants, I've come to realize they haven't replaced any jobs. Instead, they're akin to having a team of interns, each adept at performing specific tasks, saving us 10-15 minutes each time. If you're leveraging 5-10 such assistants, that's a savings of 1-2 hours per day — a significant boost to productivity that will only improve over time. Here are some unusual and small assistant example: 1) Attendance Analysis: Develop AI solutions to analyze attendance data across multiple files, generating comprehensive reports to identify patterns and optimize team schedules. Create and Used by: Admin/Hr department 2) Quality Assurance Report Review: Assist QA teams Assistant manager by tracking project hours versus contracted hours to prevent burnout and ensure optimal productivity. 3) QA/Test cases for Client Project: Upload client project data, past test cases and input new requirements. Result new cases 4) Convert my code to old Version of Cakephp: Client running an application with old version, write code and it convert to old version of cakephp 5) RFP helper: Upload All document about project and old RFP document and now it can help write based on client requirements and our past RFP My advice? Get involved. Sign up for ChatGPT premium, create your own GPT, or if you're leading a team, develop your own assistants using the API. These digital helpers could become your next competitive edge, much like an diligent interns, ready to streamline your daily tasks and workflows. #AIAssistants #ProductivityTools #Innovation #OpenAI #Teamwork #SJInnovation

Could AI Be the Future of Project Portfolio Management? 🤯 Imagine a world where AI analyzes complex financial data, predicts project success, and even optimizes resource allocation across your entire portfolio. Sounds like science fiction, right? Well, new research suggests that this future may be closer than we think. A recent study investigated the power of Large Language Models (LLMs), specifically GPT, to analyze financial statements and predict future earnings direction. The results are remarkable: GPT consistently outperformed human analysts in accurately predicting earnings changes, even when provided with only numerical financial statement data. GPT's performance was on par with, and sometimes even exceeded, that of specialized AI models specifically trained for earnings prediction. Most importantly, GPT wasn't just spitting out numbers. It was generating insightful narratives about companies' financial health, providing a basis for its predictions and revealing its ability to understand the story behind the numbers. So, what does this mean for project portfolio management? This research has huge implications for how we manage projects in the future. LLMs like GPT could: Revolutionize project selection: AI could analyze project financials and predict their likelihood of success, helping us prioritize high-potential, low-risk projects. Optimize resource allocation: By analyzing historical data and predicting future needs, AI could ensure that resources are used efficiently and bottlenecks are avoided. Proactively manage risk: Continuous monitoring of financial data by AI could identify potential red flags, allowing for timely interventions to prevent project failures and cost overruns. Automate reporting and generate insights: AI could create insightful reports and visualizations, freeing up portfolio managers to focus on strategic decision-making. What's next? While fully autonomous AI-driven portfolio management is still a way off, these applications could be a reality very soon: AI-assisted portfolio analysis: AI could provide data-driven insights and recommendations to support human decision-making. AI-powered risk assessment tools: Specialized AI models could be used to predict project risks based on a variety of financial and non-financial factors. Automated portfolio optimization: AI could assist in optimizing portfolio allocation based on specific risk and return criteria. The takeaway: This research showcases the incredible potential of AI to transform project portfolio management. By leveraging the power of LLMs, we can move towards a more data-driven, insightful, and efficient approach to managing projects. This is an exciting time to be in the field, and I'm eager to see how AI will shape the future of project portfolio management! #AI #ProjectManagement #PortfolioManagement #FutureofWork #Innovation #DataDrivenDecisions

Imagine having a Project Management Expert AI on your team. 🤖 I recently created a custom GPT built specifically for project managers—aligned with PMI standards, ready to produce real-world artifacts like project charters, RAID logs, and WBS charts, all with actionable guidance. In my latest YouTube video, I walk you through the exact steps to create your own Project Management GPT, including the prompts I used to train it. If you're a PMP, PMO director, or simply passionate about streamlining your project processes, this video is packed with practical, execution-ready strategies. 📽️ Watch the full tutorial here: https://lnkd.in/gkbp6SWk What AI-powered tools are you experimenting with in your project management processes? Let’s discuss in the comments! #ProjectManagement #AItools #PMP #PMO #ProcessImprovement #CustomGPT #PMI #AITutorial

How can ChatGPT assist a project manager, beyond crafting communication? Here are some ways I integrate ChatGPT into my workflow to boost efficient project planning. 𝟭. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗤𝘂𝗼𝘁𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Input a project quote into ChatGPT for analysis. - Craft precise project objective statements. - Simplify complex scopes or tools that may be unfamiliar. 𝟮. 𝗥𝗶𝘀𝗸 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗠𝗶𝘁𝗶𝗴𝗮𝘁𝗶𝗼𝗻: By asking ChatGPT to identify potential risks based on the project scope, I can generate a comprehensive list of concerns and corresponding mitigation strategies. Then, review the suggestions to align with our company’s practices and the client's specific environment, making adjustments as necessary to ensure relevance and accuracy. Utilizing AI not only saves time but also ensures a high level of detail and accuracy in project planning, essential for successful outcomes. #ProjectManagement #AI #ChatGPT #DigitalTransformation #Efficiency #RiskManagement