Artificial Intelligence meets Project Management – How will the AI empowered PM world look like in 2021

What is AI-enabled future for Project Management?

How to embark on the AI journey and make the technology work for you?
How can AI lead you towards autonomous project management, so that you can think strategic and act agile?

This workshop will entail a walk-through the key components of AI, explaining differences between AI and Machine Learning and providing guidance on how to tackle AI adoption for your company. We will share some concrete and hands-on examples on how to apply AI in several areas of Project Management such as:

AI in Resource allocation
Planning how many people and how long they are needed to perform a certain task can be a complex optimization problem. However, if one has the right data AI, can easily find the optimal solution.


Applying AI in agile methodology. Predicting project duration
Project or task duration prediction is key in every project if you want things to run smooth: if tasks or entire projects take longer than expected, entire planning and go-lives can get affected. On the other hand, if tasks or projects finish earlier, employees can be temporarily without work meaning a loss of money and resources. In short, predicting project duration is key, whether on large scale industrial projects or on small scale agile IT projects.


Chatbot as an assistant for Project Manager
How can chatbots assist with the mundane PM tasks, such as reminders, task distribution and basic status communication so that Project Managers can focus on more strategic work and relationship management. They can be integrated with every-day tools such as Trello, Asana, Jira and many others. We all know automated reminders most of the time end up in the spam or remain unopened, thus a chat-bot which is real-time conversation will be helpful in addressing that.


Streamlining communications through Sentiment Analysis
Sentiment analysis can be applied to note taking, understanding emotions, specific words etc to assist with the communications. Walk-through how this can be done on a step-by-step basis. With the help of sentiment analysis people don’t need to take notes anymore.

For example, an AI generated summary is sent automatically after the meeting to everyone involved. Then AI extracts the to-do's and automatically creates them in the PM tool. (Then a couple of days later, the chatbot kicks in to remind you of those tasks of course and the cycle is completed).

 

Our speakers:  Anna Hakobyan
		Anna connects the dots…  People, industries, projects, skills, cultures and experiences. Her experience spans from the USA to Canada, Russia, Latin America and Europe. Over the past 15 years she has worked with United Nation, International Organizations such as IATA, large-scale technology companies such as SAP, governments and non-profits. Different industries, cultures taught her how to navigate complex environments and build teams that last. She knows how to acquire and retain customers, open doors and broker deals. Anna strongly believes that passion leads to success and that breaking rules, not principles leads to new opportunities. She holds a Bachelor’s Degree in Business and Master’s in Public Administration, State University of New York and is PMP certified. She is heading North American operations for Pyxis, an Uruguayan technology ecosystem helping companies stay relevant in the rapidly changing world of digitalization.  Pyxis’s success is built by putting their people before their profits.

Manu Reynaert
		Manu is a passionate Data Scientist from Belgium, who spent the past three years working on cutting-edge AI projects in Montevideo, Uruguay.  Prior to that, he lived in Belgium, where he obtained his Master’s degree in Business Engineering and started his career as a consultant at PricewaterhouseCoopers. He moved to Uruguay to complete his postgraduate degree in big data analysis and became an expert on Artificial Intelligence. In his role at Pyxis, Manu is responsible for helping companies to design as well as execute their AI strategy. The AI projects cover a wide range of industries such as Energy, Food, Retail as well as Government run initiatives. Fortune 500 companies in Europe and North America and Latin America are amongst his clients. .

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