APM event National Robotarium Robotics and AI in PM video embedded Updated 25 April 25.pdf
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APM event National Robotarium Robotics and AI in PM
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• **HubSpot** is a CRM platform that leverages AI to help you
streamline your sales process. It can identify and score leads,
automate email campaigns, schedule meetings, track deal
progress, and provide reports and analytics. You can find more
information about this software [here](^2^).
• **Aviso** is an AI selling platform that helps you optimize your
sales pipeline and revenue. It can forecast sales outcomes,
prioritize deals, identify risks and opportunities, and provide
guidance and coaching. You can find more information about this
software [here](^1^).](https://image.slidesharecdn.com/apmeventnationalrobotariumroboticsandaiinpmvideoembeddedupdated25april25-250523140520-208189bd/85/APM-event-National-Robotarium-Robotics-and-AI-in-PM-video-embedded-Updated-25-April-25-pdf-10-320.jpg)
APM event National Robotarium Robotics and AI in PM video embedded Updated 25 April 25.pdf
- 1. Robotics and AI in project management: The future: Steve Maclaren COO The National Robotarium
- 2. • A New Resource adding to what already exists • Available for all in the UK to use • Adding new capabilities to those already available • Offering new ways to connect 44,000 sqft/4,100 sqm 450 people capacity Indoor and outdoor facilities Forum capacity of 200 Inbuilding 4G
- 3. Standing on the shoulders of giants £24M invested in the Building and Equipment Further £15M over 3 years to get The National Robotarium established
- 4. The National Robotarium’s Physical Presence People Incubation & Colocation Lab Space Talent & Skills Test Facilities Robots Office Space Events, Meetings & Seminars Hot-Desks Workshop Robotics & Autonomous Systems (RAS) Human-Robot Interaction Lasers Outdoor Test Area User Defined Schools Colleges Continuing Professional Development (CPD) Public Engagement Robot Systems Engineers Academics Researchers Robot Technicians Project Managers Students Wave Tank Outdoor Test Area RAS Lab Living Labs Spot Husky Pepper iCub Nao UAVs Flash FurHat TIAGo …and more
- 5. The National Robotarium’s Reach Industry Health & Social Care Finance Robotic Centres Universities Global Reach NHS Private Social Housing Research Teaching UK Global Private Public UK Dubai Malaysia The National Robotarium Network Energy Healthcare Construction Hospitality Agriculture Space Manufacturing
- 6. When will you be using Artificial Intelligence in Project management? At least 5 years away? between 3 to 5 years? within 3 years? Now?
- 8. Concept and acquisition • Sales and Business development pipeline planning • Phase reviews • Values • Probability of win • Concepts In Service/delivered • Delivered to customer • In service feedback • Continuous update and improvements Development • Concept to early designs • Modelling • Prototyping • Testing • Architecture • Electronic CAD Manufacture • Materials • Sourcing • Machine • Production • Scheduling • Testing and verification PRODUCTLIFECYCLE
- 9. The opportunity hopper Gate 3: Formal proposal drafted Technical details captured, scope defined, costs understood, contracts, IP, T’s and C’s all captured and agreed. Clear to proceed to live project Gate 1: Sales, Business development, scoping phase Identify opportunities with partners, collaborators, market intelligence and networking activity Gate 2: Shape the opportunity Start mapping out the scope of the opportunity, design, requirements, probability feasibility, viability, desirability and value estimations 01 02 03
- 10. Hi Bing, show me AI powered software for sales pipeline management? • Answer: • Some examples of AI-powered software that can manage your sales pipeline are: • **Dealcode** is an AI-powered pipeline management software that analyzes all previous deals and forecasts your expected sales numbers with high precision. It also assesses the state of your sales pipeline in real-time and gives you insights into where you can optimize your sales process. You can find more information about this software [here](^3^). • **HubSpot** is a CRM platform that leverages AI to help you streamline your sales process. It can identify and score leads, automate email campaigns, schedule meetings, track deal progress, and provide reports and analytics. You can find more information about this software [here](^2^). • **Aviso** is an AI selling platform that helps you optimize your sales pipeline and revenue. It can forecast sales outcomes, prioritize deals, identify risks and opportunities, and provide guidance and coaching. You can find more information about this software [here](^1^).
- 11. Proposals • Statements of work • NDA’s • Terms and conditions • Exclusions, assumptions, dependencies • Pricing • MOU’s • Quotes
- 13. Kick off!!!
- 14. Introducing Microsoft Dynamics 365 Copilot, the world’s first copilot in both CRM and ERP, that brings next-generation AI to every line of business CRM and ERP
- 15. WHATEVER THE METHOD – PROJECT STATUS WATERFALL AGILE
- 16. Scheduling
- 17. MONITOR - KPI DASHBOARD Monitor and predict all activity New Leads This Month 4 QUOTES Revenue This Month 11.5 K New Projects This Month 6 PROJECTS Quoted > Invoiced Planned vs. Actual Time Outstanding Invoices 7.7% 96.3% 96.3% 26 % 16 % 8% 18 % 21 % 11 % TEAM HOURS BY ACTIVITIES ACTIVE BUDGET PERIOD ACTUAL BUDGET STATUS DIFFERENCE Jan 30,988 88,000 56% -123,987 Q1 45,000 23,000 25% -45,785 2020 128,900 56,000 12% -234,765 REVENUE 2019 VS. 2020 0 2 4 6 8 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec TEAM HOURS LOGGED THIS WEEK Researcher Customer Person B Person A Partner Customer Small business School A
- 19. Risk Management AI can help evaluate and mitigate strategic risk by using natural language processing (NLP) and machine learning (ML) to analyse external data sources, such as news articles, social media posts, customer reviews, and competitor actions, to generate insights and recommendations on the market trends, customer preferences, and competitive threats3.
- 20. CustomerFeedback 90% Budget Value for money achieved 65% Schedule Delivered on time and to quality expected 45% Innovation Ability to innovate beyond original scope 55% Facilities All requirements met and exceeded. 10% Impediments Issues that could be improved
- 21. Customer Feedback using AI • Customer feedback • Automated surveys • Sentiment analysis • Insights and action plans
- 22. What does this mean for the National Robotarium? Lifecycle management using AI: Sales Pipeline (Business Central Management) AI powered Proposal generation (Servicekey/Co Pilot) Scenario planning/Optimisation suggestions (Co Pilot/Dime) Automated pricing and resourcing (Business central management/Co-Pilot) Automated scheduling (Dime) Reporting and monitoring (BCM/Power BI/Co-pilot) Automated Invoicing (BCM) Automated procurement (TBD) Automated supply chain (Business Central Management) Self serve RPA (Power Automate)
- 23. We can now focus on continuous improvement Better access to project status and predictability. Improved visibility New next generation mobile devices and hardware in facility Hardware refresh Horizon scanning for best of breed. Software and applications improvement Team dynamics, leadership skills, professional development Culture ways of working
- 24. When will you be using Artificial Intelligence in Project management? At least 5 years away? between 3 to 5 years? within 3 years? Now?
- 25. 1997-2007 been here all along….and now the comeback….!!! The assistant found in Microsoft Office in the late 90s and early 2000s is making a return, albeit unofficially, with a The new Clippy app brings the idea of a smart assistant to the modern era thanks to the power of AI, specifically leveraging OpenAI's GPT 3.5?? (4.0) large language model.28 Jun 2023
- 26. A CONFESSION…….!!!!!! Question to Google Gemini I would like to generate a presentation on AI uses in project management, can you help with some suggestions of what to cover please?
- 27. Okay, I can definitely help you generate ideas for your presentation on AI in project management. Here are some key areas and specific topics you could cover: I. Introduction to AI in Project Management • What is Artificial Intelligence (AI)? Briefly explain the concept of AI and its various branches like machine learning, natural language processing, etc. You could give a simple example of how AI works, like a spam filter learning from labeled emails. • What is Project Management? Define project management and its core processes (initiating, planning, executing, monitoring & controlling, closing). • The Intersection of AI and Project Management: Introduce the idea of applying AI technologies to enhance project management activities. • Why is AI Becoming Important in Project Management? Discuss the increasing complexity of projects, the volume of data, and the need for efficiency and better decision-making. You could mention the prediction that AI will perform a significant percentage of project management tasks in the near future.
- 28. II. Applications of AI in Project Management Project Planning and Scheduling: •AI-powered scheduling tools: Discuss how AI can analyze historical data to create more accurate timelines, predict task durations, and identify dependencies. •Resource Allocation: Explain how AI can optimize resource allocation by matching team skills with project needs and forecasting resource availability. For example, AI can consider individual team member's workload and skills to assign tasks effectively. Risk Management: •Predictive Risk Analysis: Show how AI can analyze historical project data and real-time inputs to identify potential risks and their likelihood. For instance, AI can flag a potential delay based on past performance on similar tasks. •Risk Mitigation Strategies: Discuss how AI can suggest proactive measures to minimize the impact of identified risks. Task and Time Management: •Automated Task Management: Explain how AI can automate tasks like progress tracking, status updates, and even generating to- do lists. •AI-driven Time Tracking: Discuss tools that use AI to automatically track time spent on tasks, improving accuracy and reducing administrative overhead. Communication and Collaboration: •AI-powered Meeting Assistants: Highlight tools that can record, transcribe, and summarize meetings, as well as identify action items. •AI Chatbots for Project Support: Discuss how chatbots can answer common project-related queries, provide information, and facilitate communication. Data Analysis and Reporting: •Automated Report Generation: Explain how AI can automatically generate project status reports, highlighting key metrics and potential issues. •Data-driven Insights: Discuss how AI can analyze large datasets to identify trends, patterns, and anomalies that can inform better decision-making. For example, AI can analyze budget spending patterns to identify potential cost overruns. Decision Support: •Scenario Analysis: Show how AI can analyze multiple project scenarios and recommend optimal courses of action. •Prioritization: Explain how AI can help prioritize tasks and projects based on their potential impact and alignment with strategic goals.
- 29. III. Benefits of Using AI in Project Management Increased Efficiency and Productivity: Discuss how automation of routine tasks frees up project managers to focus on strategic work. Improved Accuracy in Planning and Forecasting: Highlight how AI's data analysis capabilities lead to more realistic timelines and budgets. Enhanced Decision-Making: Explain how data-driven insights from AI enable more informed and effective decisions. Better Risk Management: Emphasize the proactive identification and mitigation of risks through AI. Optimized Resource Allocation: Discuss how AI ensures the right people are working on the right tasks at the right time. Reduced Costs: Explain how AI can help identify inefficiencies and prevent costly delays or overruns.
- 30. IV. Challenges and Considerations for AI Adoption in Project Management • Data Quality and Availability: Discuss the importance of accurate and complete data for AI algorithms to function effectively. "Garbage in, garbage out" is a key concept here. • Integration with Existing Systems: Highlight the challenges of integrating new AI tools with current project management software. • Cost of Implementation: Discuss the initial investment and ongoing costs associated with AI adoption. • Ethical Considerations: • Bias in Algorithms: Explain how historical data can lead to biased AI outcomes and the importance of fairness. • Data Privacy and Security: Discuss the need to protect sensitive project data when using AI tools. • Transparency and Explainability: Highlight the importance of understanding how AI makes decisions (Explainable AI). • Accountability: Discuss who is responsible when AI-driven decisions lead to negative outcomes. • Lack of Human Oversight: Emphasize that AI should augment, not replace, human judgment and the need for critical review of AI results. • Resistance to Change: Discuss the potential challenges of team members being hesitant to adopt new AI-powered tools. • Skill Gaps: Highlight the need for project managers and teams to develop the skills to effectively use and interpret AI outputs.
- 31. V. The Future of AI in Project Management • Increased Automation of Complex Tasks: Discuss the potential for AI to handle more sophisticated project management activities in the future. • More Sophisticated Predictive Analytics: Highlight the potential for even more accurate forecasting of project outcomes and risks. • Enhanced Human-AI Collaboration: Emphasize the future where project managers and AI tools work seamlessly together, leveraging each other's strengths. • AI-powered Virtual Assistants: Discuss the potential for AI to act as personalized assistants for project managers. • Integration of Generative AI: Explore how AI that can generate text, images, and other content could assist with project documentation, communication, and even creative problem-solving. VI. Conclusion • Recap of Key Benefits and Challenges: Briefly summarize the main points discussed. • The Evolving Role of the Project Manager: Discuss how AI will change the project manager's role, shifting focus towards strategy, leadership, and stakeholder management. • The Future Potential of AI in Transforming Project Management: Offer a forward- looking perspective on the transformative impact of AI. • Remember to include real-world examples and case studies where possible to illustrate the applications and benefits of AI in project management. Good luck with your presentation!
- 32. The use of AI is here already. What should we be considering very carefully whilst we adopt AI into program and portfolio management……? • Harm and safety……. • What are the risks and benefits of using robots and AI in domains such as healthcare, warfare, transportation, and education? • How can we design and regulate robots and AI systems to prevent misuse, abuse, or malfunction? • Bias and Fairness…. • How can we avoid or mitigate bias and discrimination in robots and AI systems, especially when they are used for decision-making, profiling, or ranking? • How can we prevent or correct the negative impacts of biased data, algorithms, or outcomes on individuals or groups? • Transparency and accountability… • How can we ensure that robots and AI systems are transparent and explainable, so that humans can understand their behaviour, logic, and outcomes? • How can we assign and enforce responsibility and liability for the actions and consequences of robots and AI systems, especially when they are autonomous, adaptive, or unpredictable?
- 33. Useful references Artificial intelligence in project management (apm.org.uk) How AI Will Transform Project Management (hbr.org) https://blogs.microsoft.com/blog/202 3/03/06/introducing-microsoft- dynamics-365-copilot/ Introducing Microsoft Dynamics 365 Copilot, the world’s first copilot in both CRM and ERP, that brings next- generation AI to every line of business - The Official Microsoft Blog
- 34. Takeaway