Meghan Gaffney

Co-Founder & CEO of Veda at Veda

Entrepreneur Leadership Network® Contributor

Meghan Gaffney, an Inc. 5000 entrepreneur, co-founded Veda in 2015 with a clear vision that AI and machine learning held the keys to solving critical challenges in healthcare. Gaffney built Veda as an example of technology driving progress forward.

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More From Meghan Gaffney

Entrepreneurs

9 Questions Leaders Should Ask Themselves to Help End Employee Burnout

While eating well, moving your body and getting rest are familiar wellness mantras and advice that continue to ring true year after year, employers can go further for the well-being of their employees in 2025.

Thought Leaders

5 Vital Lessons I Learned By Taking a Mini Break From the Entrepreneurship Grind

Like you, I have big goals for my company and know that getting lost in the minutiae won't get me there. Taking time away for personal and professional development ensures that you remember to look up.

Thought Leaders

3 Ways Women Founders Can Leverage Their Value on Women’s Equality Day — and Beyond

Women founders lead in different ways than their male counterparts and data is showing how beneficial that is. This article covers three things for women entrepreneurs to keep in mind throughout their journey.

Thought Leaders

3 Tips for Scaling Your Startup’s C-Suite Successfully

When trying to grow your startup's leadership team, you might want to trust your gut. Here's why.

Human Resources

Reflections from a Woman Founder: Why Women Must Be Better Represented in Both AI Technologies and Data Sets

When companies have gender diversity in their leadership teams, they outperform their peers.

Meghan Gaffney

More From Meghan Gaffney

9 Questions Leaders Should Ask Themselves to Help End Employee Burnout

5 Vital Lessons I Learned By Taking a Mini Break From the Entrepreneurship Grind

3 Ways Women Founders Can Leverage Their Value on Women’s Equality Day — and Beyond

3 Tips for Scaling Your Startup’s C-Suite Successfully

Reflections from a Woman Founder: Why Women Must Be Better Represented in Both AI Technologies and Data Sets

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