A recent report from global boutique investment bank, Drake Star Partners, revealed that, in 2017, venture capital investments toward the American artificial intelligence and machine-learning industry reached $6 billion while global investments in AI companies grew to over $12 billion. The report also estimates a compound annual growth rate of almost 40% from 2016 to 2025 for the global AI market.

From a total global revenue of $4.8 billion last year, AI companies are expected to post revenues of $38 billion in 2022, and $90 billion in 2025 which make artificial intelligence one of the fastest growing, most lucrative industries attracting investments from VC funds and heavy-hitting tech firms like Microsoft and Google. But as fast growing and successful of industries that AI and machine learning are, why aren’t more women represented in the field?

WIRED magazine worked with Montreal startup Element AI to estimate diversity of leading machine learning researchers and found that only 12% were women.So how can AI companies attract the right VC funding for their start-up and how can more women be represented in artificial intelligence?

Here with me to discuss AI, venture capital, and diversity is Jean-Francois Gagne, founder and CEO of Element AI, Francisco Dao, program manager at AI NexusLab, and Loren Busby, CFA and private equity investor.

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