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Topic: authors | charity & philanthropy | csr | entrepreneurship & innovation | finance & fundraising | general | human resources | ilearn | people | policy & governance | social enterprise | technology | university research
Date: 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | jan'25 | feb'25 | mar'25 | apr'25 | may'25 | jun'25 | jul'25 | aug'25 | sep'25 | oct'25 | nov'25 | dec'25 | jan'26 | feb'26 | mar'26 | apr'26
Headlines
The changing face of CSR in Bangladesh: Bringing policy, business, and accountability together | The Business Standard, 24 may 2026
MASS: A Non-Profit Model for Architecture in Service of Society | ArchDaily, 23 may 2026
Four strategies to make the most of your charitable giving in 2026 | Marshall Independent, 22 may 2026
Is India Inc's CSR truly driving systemic change or just shifting funds? | The Economic Times, 22 may 2026
Why social enterprises need a different approach to capital and growth | World Economic Forum, 22 may 2026
Protecting a nonprofit's mission from the 'new idea' trap | Go Erie, 18 may 2026
Philanthropy in Asia emerging as 'risk capital' for social innovation: Report | The Hindu, 18 may 2026
Engaging volunteers to become advocates for nonprofits | Candid, 14 may 2026
Top 9 Nonprofit Funding Sources for Any Organization | GoFundMe, 09 may 2026
How to keep your nonprofit's fundraising safe online | AZ Big Media, 07 may 2026
Capacity Is Tested in Transition: Interim Leadership as Nonprofit Infrastructure | Nonprofit Quarterly, 04 may 2026
What Every Organization Needs To Know About? Enterprise-Grade Volunteering | Forbes, 01 may 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...
fundsforNGOs:
How can AI and machine learning support social enterprises?
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