JD Duarte


JD Duarte explains how artificial intelligence enhances Scrum

A new era in innovation has emerged over the past few years. Big Data, Blockchain technology and artificial intelligence (AI), are all having an increasing impact upon our daily lives. These rapid changes are causing a revolution in AI-based decision-making systems and support systems. JD Duarte is a successful entrepreneur from Costa Rica and a Scrum Master. He explains why AI is so important in the Scrum process.

AI-based services and tools are slowly changing the way we do our daily activities professionally and personally. To stay ahead of the pack, the rules of the game change constantly. Companies must be able to adapt to these changing conditions.

Companies that are involved in project management can greatly increase their productivity and decrease errors by using AI-based solutions. Project management/delivery is the ability to manage and execute activities to meet established corporate objectives. These objectives can be related to the business’s benefit or the policies that guide the company’s daily operations.

“With the introduction of AI,” explains Duarte, “companies now have the ability not only to improve the efficiency of their daily tasks, as well as to help plan for the near future.” Advances in the field of AI have also reduced the need for humans to take care of redundant tasks, thus allowing workers to engage in better and more rewarding tasks.

Nowadays, it is common practice to include AI chatbot assistants in software applications and this trend is going to increase in the future. Chatbots can play a critical role in the field of project management. NLP (Natural Language Processing) technology allows bots to relate concepts, entities, ideas, knowledge and know-how to respond to their needs.

One of the broader responsibilities of Project Management is task management. “The Project Manager should delegate and supervise the implementation of the activities, organize them into calendars and ensure that no obstacle prevents the completion of the tasks,” asserts Duarte.

Chatbots can automate this type of work by completing tasks such as status updates, assigning tasks, and warning of possible crashes. This type of solution is already in use by many companies. It serves two purposes: to improve project management and to organize each team’s work.

Agile teams can use a chatbot to help them with task selection and ask team members daily their tasks. Bots can generate reports that can then be distributed to all parties involved in the project at the end of each sprint.

Project quality is determined by the accuracy of error prediction and subsequent reduction. This is especially true for software/IT projects.

Artificial Intelligence is crucial in project management because it can accurately predict the quality and number of defects. The use of AI models and quality data from past projects can be used to alert project teams when the chosen path is not safe.

AI can monitor the progress of work items and compare it with the schedule. It can detect potential delays or underperformance in key metrics and recommend how to get the project on track.

The market has seen a lot of momentum for AI-based predictive analytics tools. Companies are starting to reap the benefits of this technology. They can accurately assess the amount of effort and resources required to complete a project.

This is possible due to the fact that, while each project is different, the resources that affect progress and make up the work for a software development project are often similar. These patterns can be identified using predictive analytics, which allows us to accurately plan the work.

Increased efficiency is a direct result of AI predicting and reducing mistakes. AI can automate simple tasks like sending emails and notifying project teams about delays or costs. These tasks can be automated to save time and allow project teams to focus on project innovation and improvement. AI-based solutions can read and analyze data from teams and identify and flag events that may hinder their workflow.

AI is able to sift through a large volume of data and help make decisions so that the project manager understands which path will be best for efficient project delivery. In this sense, AI can automate not only simple tasks, but develop an understanding of the key performance indices of projects. This can enable the development of new ideas and help perform larger tasks and make recommendations for complex decision-making.

AI is changing the way organizations work, and project management is an important area that is positively affected by these changes. The benefits for project management are very broad and refer to the entire production chain of the company, guided by established guidelines and objectives, helping to improve the performance of its projects.