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An infographic highlights research into the three dimenstions of trust-building practices that enable analytically mature organizations to deliver more value via data-driven innovation.
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.
Increasingly, military-inspired exercises are becoming standard elements of corporate risk mitigation and resiliency efforts. They include tabletop exercises,” designed to help executives envision how they would handle different risk scenarios; “red team exercises,” designed to ferret out weaknesses through contained attacks conducted internally to see how cybersecurity teams respond; and engaging ethical hackers to test the organization’s cybersecurity defenses.
This new blog from MIT Sloan Management Review explores ideas from different corners of the MIT community that are relevant to business executives. We will introduce you to research, people and events you might not otherwise encounter — things we hope you find useful and perhaps provocative. This week we look at gaping security holes in the Internet of Things and revisit the analytical revelations of Michael Lewis’s Moneyball.
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