Recognizing and solving for AI bias

AI is unlocking tremendous value for businesses by solving many last-mile automation problems that previous waves of technology could not address. But just like any technology early in its evolution and application, there are a few things to watch out for – and unintended bias tops the list. Proper design and rigorous planning can mitigate the issue.
artificial intelligence / machine learning
  • Artificial Intelligence
  • Analytics

Sanjay Srivastava currently serves as the chief digital officer at Genpact(NYSE: G), a global professional services firm focused on delivering digital transformation for clients, putting digital and data to work to create competitive advantage. Genpact has more than 77,000 employees across 20+ countries.

Sanjay runs Genpact’s digital business, and is responsible for the Genpact Cora Platform, and all associated digital products and consulting services across digital core, data analytics, and artificial intelligence technologies.

Previously, Sanjay was a Silicon Valley serial entrepreneur, and helped build four successful startups in various disruptive technologies: streaming networks (acquired by Akamai), data center virtualization software (acquired by BMC), predictive algorithm enterprise software (acquired by FIS), and net-native enterprise finance applications (acquired by Genpact). He also has held P&L and operating leadership roles in global sales, product engineering, and technical services (at SunGard, Akamai and Hewlett Packard), all in leading technology spaces.

Sanjay is based in Palo Alto, California.

The opinions expressed in this blog are those of Sanjay Srivastava and do not necessarily represent those of IDG Communications, Inc., its parent, subsidiary or affiliated companies.