Artificial Intelligence

The current state of artificial intelligence and machine learning

John Donegan

Published on January 05, 2021

Machine learning, big data analysis, and AI-based models are increasingly ubiquitous, and this is unlikely to change in the post-COVID era. Babar Bhatti, an expert in the field of artificial intelligence, discusses the near-term and long-term effects of AI on businesses and society. Bhatti has nearly two decades worth of experience in AI, machine learning, advanced analytics, cloud computing, and product management.


  • The main issues surrounding AI
  • Ethical AI gray areas that companies need to address
  • Companies’ inability to self-regulate
  • Casual inference, counterfactuals, blockchain technologies, and data integrity within AI models
  • The effects of AI in the post-COVID era
  • The long-term impacts of AI
  • Self-driving cars and artificial general intelligence
  • Deepfake audio and video
  • Data poisoning and black box models
John Donegan

John Donegan

Enterprise Analyst, ManageEngine

John is an Enterprise Analyst at ManageEngine. He covers infosec, cybersecurity, and public policy, addressing technology-related issues and their impact on business. Over the past fifteen years, John has worked at tech start-ups, as well as B2B and B2C enterprises. He has presented his research at five international conferences, and he has publications from Indiana University Press, Intellect Books, and dozens of other outlets. John holds a B.A. from New York University, an M.B.A. from Pepperdine University, an M.A. from the University of Texas at Austin, and an M.A. from Boston University.

 Learn more about John Donegan

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