How Algorithms Can Diversify the Startup Pool

Morela Hernandez et al.

Biases related to gender and other demographic factors creep into decisions about which projects to fund with venture capital. Data-driven approaches can help tease out those biases and limit their impact. Algorithmic methods identify potential instances of discrimination and increase transparency, making it easier to find and fix problems. Aversion to algorithms can be tempered by letting decision makers retain some subjective control over the data-driven process.

Pathways to Progress for Women Entrepreneurs

Whitney Sales

The hidden obstacle to women who want to found B2B startups is often rooted in the way they are mentored and advised in the business world. Where men are more often coached in strategy and business tactics, women are more likely to be taught how to avoid internal politics and “fit in” culturally. This difference in mentoring leaves women at a disadvantage with respect to entrepreneurship.

How AI Is Helping Companies Break Silos

Frontiers |

Zoran Latinovic and Sharmila C. Chatterjee

Companies are beginning to experiment with AI-driven tools to better coordinate the workflows in different business silos. The result: More effective integration of efforts among business units and between business partners.

Unleashing the Power of Blockchain in the Enterprise

Frontiers |

Don Tapscott and Ricardo Viana Vargas

Blockchain is emerging as a foundational technology, but there is still groundwork to be done on standards development and the governance of change — and doing that work is critical to enterprise strategy.