1. Confronting the risks of artificial intelligence 2. The analytics academy: Bridging the gap between human and artificial intelligence 3. Fusing data and design to supercharge innovation—in products and processes 4. Derisking machine learning and artificial intelligence 5. Global AI Survey: AI proves its worth, but few scale impact 6. Catch them if you can: How leaders in data and analytics have pulled ahead 7. Tackling bias in artificial intelligence (and in humans) 8. The ethics of artificial intelligence 9. Leading your organization to responsible AI 10. Managing data as an asset: An interview with the CEO of Informatica Read the Original Article: https://mck.co/36oEyM5
