Artificial intelligence, machine learning, data science and data analytics are powerful techniques used in private corporates to increase revenues and reduce costs. Data-driven strategies proved their efficiency in creating massive added values and revenues for traditional businesses. Before I clarify the reason nonprofit organizations should look to develop artificial intelligence for their processes, I recommend reading a survey McKinsey published in November 2020 to help you learn more about where AI is implemented so far and how private companies are increasing their revenues by developing AI technologies.

Artificial intelligence is not a new technology. In 1956, it was defined by John McCarthy, a Stanford professor for more than three decades, as the “science and engineering of making intelligent machines.” AI is when machines learn from human intelligence in order to automate repetitive tasks, augment cognitive capacities and facilitate the decision-making process.

There is overlap in the needs of private corporations and nonprofit organizations. Nonprofits have the opportunity to develop AI powerful algorithms to raise more funds, improve the efficiency of their resources and learn more about their members' needs.

In this article, and from an AI expertise perspective, I would like to share a few concrete examples where AI can make a difference for nonprofit organizations:

Organizations have a huge number of repetitive tasks that are time-consuming and not necessarily involving high-cognitive capacities. For these tasks, two solutions can be deployed to automate the repetitive tasks, reduce costs and risks of human inputting errors. Machine learning extracts patterns to define repetitive tasks and automate them. Once tasks are known, robotic process automation (RPA) tools automate the process.

Read the full article about nonprofits and artificial intelligence by Dr. Lobna Karoui at Forbes.