AI

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How Algorithms Can Diversify the Startup Pool

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.

Sponsor's Content | How IT Taps Big Data to Optimize Digital Operations and Drive Business Advantage

  • MIT SMR Connections | Custom Research Report

New research by MIT SMR Connections and NETSCOUT shows that most IT leaders are well advanced along the analytics maturity curve when it comes to tapping data to manage and improve IT infrastructure. The practitioners deriving the most value from data are most likely to have the broadest view of where analytics can be implemented across both IT and business operations — and they are also most likely to view attention to data quality as the most important priority for action.

The Digital Future of Strawberries

Technology may hold the answer to two of the knottiest problems faced by the U.S. economy — the shortage of farm labor and the excess of vehicle traffic. But there’s a flip side: It also enables surveillance so widespread and intrusive, companies can track even our heartbeats — and the data collected by these sensors is far from secure.

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Sponsor's Content | Data, Analytics, & AI: How Trust Delivers Value

  • MIT SMR Connections | Content Commissioned by SAS

New research by MIT SMR Connections and SAS shows that organizations with advanced use of analytics and AI are intentionally building a foundation of trust across three critical dimensions to gain value from these technologies. Those applying analytics that incorporate AI-based technologies are fostering trust in data quality, safeguarding data assets and customer privacy, and developing organizational cultures that trust data-driven decisions.

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