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  1. How to harness the collective intelligence of the enterprise
  2. Outsourcing security services rises as MSSPs focus on industries
  3. Customer engagement strategies that heed power of social media
  4. Microsoft and corporate activism
  5. Microsoft and corporate activism
  6. AI models could help companies overcome human bias
  7. AI models could help companies overcome human bias
  8. Success with automation and AI requires a high 'RQ'
  9. Success with automation and AI requires a high 'RQ'
  10. With artificial intelligence and machine learning, KPIs are crucial
  11. With artificial intelligence and machine learning, KPIs are crucial
  12. With machine learning models, explainability is difficult and elusive
  13. 'Intelligent tutoring systems' use AI to boost student IQ
  14. Digital phenotype introduces new kinds of data to clinical setting
  15. The uphill battle of beating back weaponized AI
  16. Tim O'Reilly: The flawed genie behind algorithmic systems
  17. Companies want explainable AI, vendors respond
  18. GE's Predix platform bolstered by data, domain expertise
  19. Three trends to keep top of mind when crafting an AI strategy
  20. How to harness the collective intelligence of the enterprise
  21. Data literacy in high demand; academia responds
  22. Machine learning systems are a 'land rush' of opportunity for CIOs
  23. MIT aims to pry open 'black box' of machine learning systems
  24. Blockchain use cases proliferate, but to whose benefit not yet clear
  25. Outsourcing security services rises as MSSPs focus on industries
  26. Cloud-based robotics could be an AI game changer
  27. Roboticists: Universal basic income demands attention
  28. OpenStack: Questions remain for the open source cloud platform
  29. Looking to get hyperpersonal with customers? Better get AI
  30. Product line management is fundamental to the new IT operating model
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