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Headlines
How to master social media algorithms and grow your reach | Charity Digital, 20 aug 2026
Uzbekistan establishes legal framework for social entrepreneurship, introduces state support | DARYO, 18 aug 2026
Why charity trustees need more than management accounts | RSM UK, 17 aug 2026
How mandatory CSR helps firms boost margins and competitive advantage | Forbes India, 17 aug 2026
Scale Right, Not Cheap and Easy | Stanford Social Innovation Review, 17 aug 2026
How Corporate Talent Becomes Strategic Governance for Nonprofits | NonProfit PRO, 11 aug 2026
What is the state of volunteer management in 2026? | Charity Digital, 07 aug 2026
How nonprofit board service sharpens business leaders' strategic thinking in unexpected ways | Phoenix Business Journal, 07 aug 2026
Can blended finance help Europe keep its social innovation promise? | Alliance Magazine, 24 jul 2026
Nonprofit Organization Management in China: Research and Practice | Syracuse University Research, 01 jul 2026
If solidarity is the principle, volunteering is its discipline | United Nations, 19 jun 2026
Nonprofit communications need systems, not quick fixes | India Development Review, 10 jun 2026
April 2025
Mohammad Anas Wahaj | 24 apr 2025
Artificial intelligence (AI) and machine learning (ML) technologies can assist social enterprises to enhance operational efficiency, improve decision-making processes and, expand and amplify their reach and impact. Utilizing vast data and developing valuable insights is now attainable through AI and ML tools. Some of the ways in which AI and ML can be applied in social sector includes - (1) Provides advanced tools for data analysis and decision-making. (2) Streamline operations and processes to optimize resource allocation and improve efficiency. (3) Identify patterns and trends through analyzing large amount of data and make better decisions and predictions. (4) Personalize and customize services to improve engagement and better serve beneficiaries and stakeholders. (5) Improve impact measurement and reporting by providing more accurate and real-time data, thus building close relations and enhance trust with funders and stakeholders. Social enterprises should also understand ethical considerations such as privacy, algorithmic bias, fairness and inclusivity etc while implementing AI and ML technologies for better and balanced outcomes. Read on...
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How can AI and machine learning support social enterprises?
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