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Artificial Intelligence
Combating AI model bias is an essential for ensuring the technology is used responsibly, but many enterprises don’t yet have the right measures in place to do this effectively “Most of recorded human history is one big data gap,” writes Caroline Criado Perez in Invisible Women, her renowned book on ...
Jordan Levine: We Need a Smarter Approach to Combatting AI Bias
Jordan Levine, MIT Lecturer and Partner at Dynamic Ideas, outlines why he believes executives and regulators must do ...
Former Barclays VP Vishal Morde on the Bank’s Digital Transformation
Former Barclays VP of Data Science and Advanced Analytics Vishal Morde outlines two key phases of the bank’s digital ...
Combatting AI Adoption Fears
Craig Civil, former Head of Data Innovation at Lloyd’s, shares his top tips for combating staff fears around adopting ...
The True Extent of the 'Responsible AI' Problem
AI-focused leaders are aware that a 'responsible AI' problem exists, but there’s still no consensus on what ...
The State of Responsible AI: 2021
How 100 C-level AI Leaders are Ensuring AI is Used Ethically, Transparently, Securely and in Their Customers' Best ...
Who Should Be Responsible for ModelOps
Enterprises are establishing dedicated roles, such as the ‘model operator’, to oversee the effective monitoring, ...
Enterprise AI is Driving the Rise of ModelOps
With the use of AI in business becoming more widespread, enterprises are developing mature ModelOps functions to ...
What Companies Get Wrong About AI
Wendy Zhang, Director of Governance and Data Strategy at Sallie Mae, discusses why companies must put the right ...
State of ModelOps 2021
How 100 AI-Focused Executives from Top Global Financial Services Companies are Developing Practices to Ensure ...
How ZestMoney is Using Machine Learning to Reach New Customers in India
ZestMoney Chief Data Officer Natalia Lyarskaya explains how cutting-edge technology is helping consumers in India ...