Basic AI Components Used in Project Management

 

An explanation of the basic functionality is required to understand how AI can be used in project management. While there is no clear definition of AI with boundaries and limits, describing what AI looks like and how it can be used is helpful. AI for project management has two main components: machine learning (ML) and natural language programming (NLP).

Machine Learning

ML is software that uses datasets to create a model, and based on that model, the algorithm produces a prediction or performs classification. Prediction is the probability that the answer or decision is correct. The results are valid for a single point in time but need to be updated with new data as the project progresses or the data changes. What can you predict? Anything where you have data such as overall project success, quality results, or the probability of achieving the budget.

For ML, the most common learning models are supervised learning, unsupervised learning, and reinforcement learning. These algorithms are incorporated into the software used by organizations to improve project performance.

Natural Language Processing

NLP converts words to data and is extremely useful for document analysis, sentiment analysis, translation, and using a virtual assistant. NLP reviews documents for accuracy and consistency. Sentiment analysis checks verbal or text input and identifies positive or negative feelings in the project team. There may be ethical issues if this is not implemented and used correctly. Virtual assistants determine the intent of a request and deliver a response. Commonly used virtual assistants are Siri, Alexa, or Google Assistant. NLP is also at the forefront of recent developments with large language models (LLMS) such as ChatGPT, Llama, and Bard. However, large language models use NLP and ML algorithms to achieve their amazing capability. The value of NLP is the ability to extract insights from large amounts of data, such as a database of historical projects.

Summary

ML and NLP are valuable AI components that can be combined when using LLMs. Further blogs will review how these algorithms work and how the project methodology is changing to take advantage of this opportunity.